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9 Commits

Author SHA1 Message Date
Jason Wen 5242c65473 ui: drop restating accel boost comments 2026-11-03 22:36:12 -05:00
Jason Wen 9999d126a3 [MICI] ui: move accel boost ball swap out of stock 2026-11-03 22:35:03 -05:00
Jason Wen 656f764e33 controls: accel boost review fixes 2026-11-03 22:27:29 -05:00
discountchubbs 048727fb9f jason and kumar fought for hours to make this default so here we go 2026-11-03 13:21:03 -08:00
rav4kumar 0b68b8be9d ui: add MICI accel boost side-panel bar 2026-11-03 12:49:53 -07:00
discountchubbs 88b3ed1a20 lower entry threshold for fade, pos still builds. brake_probs still triggers at same hyp 2026-11-03 11:27:58 -08:00
discountchubbs 8b3a19eb04 ew 2026-11-03 08:48:06 -08:00
discountchubbs 367ff603d4 controls: predictive accel boost 2026-11-03 08:32:07 -08:00
royjr a86979d2b2 sunnylink: gate steering arc toggle on MICI (#2085)
sunnylink-hide-steering-arc-mici
2026-11-01 12:02:47 -05:00
17 changed files with 315 additions and 574 deletions
+1 -1
View File
@@ -149,6 +149,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
{"Version", {PERSISTENT, STRING}},
// --- sunnypilot params --- //
{"AccelBoostSP", {PERSISTENT | BACKUP, BOOL, "1"}},
{"ApiCache_DriveStats", {PERSISTENT, JSON}},
{"AutoLaneChangeBsmDelay", {PERSISTENT | BACKUP, BOOL, "0"}},
{"AutoLaneChangeTimer", {PERSISTENT | BACKUP, INT, "0"}},
@@ -170,7 +171,6 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
{"DevUIInfo", {PERSISTENT | BACKUP, INT, "0"}},
{"EnableCopyparty", {PERSISTENT | BACKUP, BOOL}},
{"EnableGithubRunner", {PERSISTENT | BACKUP, BOOL}},
{"FollowDistanceAccelBoost", {PERSISTENT | BACKUP, BOOL, "0"}},
{"GreenLightAlert", {PERSISTENT | BACKUP, BOOL, "0"}},
{"GithubRunnerSufficientVoltage", {CLEAR_ON_MANAGER_START , BOOL}},
{"HasAcceptedTermsSP", {PERSISTENT, STRING, "0"}},
@@ -1,101 +0,0 @@
from types import SimpleNamespace
from openpilot.cereal import log
from openpilot.common.realtime import DT_MDL
from openpilot.common.test import OpenpilotTestCase
from openpilot.selfdrive.controls.lib.accel_boost import (
AccelBoost, ACCEL_BOOST_MAX, ACCEL_BOOST_PER_OVERRIDE, ACCEL_BOOST_RATE
)
E2E_ACCEL = 0.5
PLANNER_ACCEL = 2.0
RATE_PER_STEP = ACCEL_BOOST_RATE * DT_MDL
class FakeSubMaster:
def __init__(self, enabled=True, gas_pressed=False, v_ego=15.0,
personality=log.LongitudinalPersonality.standard):
self._messages = {
'selfdriveState': SimpleNamespace(enabled=enabled, personality=personality),
'carState': SimpleNamespace(gasPressed=gas_pressed, vEgo=v_ego),
}
def __getitem__(self, key):
return self._messages[key]
def run_boost(boost, sm, steps=1):
out = E2E_ACCEL
for _ in range(steps):
out = boost.update(sm, E2E_ACCEL, PLANNER_ACCEL, PLANNER_ACCEL)
return out
class TestAccelBoost(OpenpilotTestCase):
def _boost_to_max(self):
boost = AccelBoost()
sm = FakeSubMaster()
steps = round(ACCEL_BOOST_PER_OVERRIDE / RATE_PER_STEP)
# Eligibility is latched on a frame without gas, then applied on the next override.
run_boost(boost, sm)
for _ in range(10):
sm['carState'].gasPressed = True
run_boost(boost, sm, steps)
sm['carState'].gasPressed = False
run_boost(boost, sm)
return boost
def test_no_boost_without_gas(self):
boost = AccelBoost()
sm = FakeSubMaster(gas_pressed=False)
out = run_boost(boost, sm)
self.assertEqual(boost.total_boost, 0.0)
self.assertAlmostEqual(out, E2E_ACCEL)
def test_boost_requires_e2e_to_be_limiting(self):
boost = AccelBoost()
sm = FakeSubMaster(gas_pressed=False)
# Eligibility is latched before the override, so keep the e2e plan at the planner limit here.
boost.update(sm, E2E_ACCEL, E2E_ACCEL, E2E_ACCEL)
sm['carState'].gasPressed = True
for _ in range(10):
boost.update(sm, E2E_ACCEL, E2E_ACCEL, E2E_ACCEL)
self.assertEqual(boost.total_boost, 0.0)
def test_per_override_cap(self):
boost = AccelBoost()
sm = FakeSubMaster(gas_pressed=False)
run_boost(boost, sm)
sm['carState'].gasPressed = True
run_boost(boost, sm, 1000)
self.assertAlmostEqual(boost.total_boost, ACCEL_BOOST_PER_OVERRIDE)
def test_max_boost(self):
boost = self._boost_to_max()
self.assertAlmostEqual(boost.total_boost, ACCEL_BOOST_MAX)
def test_boost_is_applied_to_e2e_accel(self):
boost = self._boost_to_max()
sm = FakeSubMaster(gas_pressed=True)
out = run_boost(boost, sm)
self.assertAlmostEqual(out, E2E_ACCEL + boost.total_boost)
def test_boost_does_not_depend_on_following_distance(self):
totals = []
for personality in (log.LongitudinalPersonality.relaxed,
log.LongitudinalPersonality.standard,
log.LongitudinalPersonality.aggressive):
boost = AccelBoost()
sm = FakeSubMaster(personality=personality)
steps = round(ACCEL_BOOST_PER_OVERRIDE / RATE_PER_STEP)
run_boost(boost, sm)
for _ in range(10):
sm['carState'].gasPressed = True
run_boost(boost, sm, steps)
sm['carState'].gasPressed = False
run_boost(boost, sm)
totals.append(boost.total_boost)
self.assertEqual(len(totals), 3)
for total in totals:
self.assertAlmostEqual(total, ACCEL_BOOST_MAX)
@@ -21,9 +21,6 @@ class TogglesLayoutMici(NavScroller):
"Use the steering wheel distance button on supported cars.")
self._initial_cruise_speed = InitialCruiseSpeedButton()
self._initial_cruise_speed.set_visible(lambda: ui_state.CP is not None and ui_state.has_longitudinal_control and not ui_state.CP.pcmCruise)
self._accel_boost_toggle = BigParamControl("extra acceleration boost", "FollowDistanceAccelBoost",
description="Adds extra acceleration on top of the stock gas-override boost.\n" +
"The extra boost follows Following Distance: strongest when Aggressive, weakest when Relaxed.")
is_metric_toggle = BigToggle("use metric units", initial_state=ui_state.params.get_bool("IsMetric"), toggle_callback=self._on_metric_toggle)
ldw_toggle = BigParamControl("lane departure warnings", "IsLdwEnabled",
description="Warn when you drift across a detected lane line.\n" +
@@ -43,7 +40,6 @@ class TogglesLayoutMici(NavScroller):
self._scroller.add_widgets([
self._personality_toggle,
self._accel_boost_toggle,
self._initial_cruise_speed,
is_metric_toggle,
ldw_toggle,
@@ -55,7 +51,6 @@ class TogglesLayoutMici(NavScroller):
# Toggle lists
self._refresh_toggles = (
("FollowDistanceAccelBoost", self._accel_boost_toggle),
("IsMetric", is_metric_toggle),
("IsLdwEnabled", ldw_toggle),
("AlwaysOnDM", always_on_dm_toggle),
@@ -97,7 +92,6 @@ class TogglesLayoutMici(NavScroller):
if ui_state.CP is not None:
self._personality_toggle.set_visible(ui_state.has_longitudinal_control)
self._accel_boost_toggle.set_visible(ui_state.has_longitudinal_control)
# Refresh toggles from params to mirror external changes
for key, item in self._refresh_toggles:
@@ -181,8 +181,7 @@ class AugmentedRoadView(CameraView):
self._long_indicator = LongIndicator()
self._alert_renderer = AlertRenderer()
self._driver_state_renderer = DriverStateRenderer()
self._confidence_ball = ConfidenceBall()
self._accel_boost_indicator = AccelBoostIndicator() if gui_app.sunnypilot_ui() else None
self._confidence_ball = AccelBoostIndicator(ConfidenceBall()) if gui_app.sunnypilot_ui() else ConfidenceBall()
self._offroad_label = UnifiedLabel("start the car to\nuse sunnypilot", 54, FontWeight.DISPLAY,
text_color=rl.Color(255, 255, 255, int(255 * 0.9)),
alignment=TextAlignment.CENTER,
@@ -277,13 +276,7 @@ class AugmentedRoadView(CameraView):
if show_navigation:
self._navigation.render(rl.Rectangle(self._content_rect.x + self._content_rect.width, self.rect.y, PANEL_WIDTH, self.rect.height))
else:
# The boost bar owns the side panel while the extra boost is on; the ball only shows with the feature off
if gui_app.sunnypilot_ui():
self._accel_boost_indicator.render(self.rect)
if not self._accel_boost_indicator.panel_in_use:
self._confidence_ball.render(self.rect)
else:
self._confidence_ball.render(self.rect)
self._confidence_ball.render(self.rect)
self._bookmark_icon.render(self.rect)
@@ -30,11 +30,6 @@ ACC_NOLONG_DESCRIPTION = tr_noop("This feature can only be used with sunnypilot
ACC_PCMCRUISE_DISABLED_DESCRIPTION = tr_noop("This feature is not supported on this platform due to vehicle limitations.")
ONROAD_ONLY_DESCRIPTION = tr_noop("Start the vehicle to check vehicle compatibility.")
ACCEL_BOOST_EXT_DESCRIPTION = tr_noop("Adds extra acceleration on top of the stock gas-override boost when you hold the gas pedal " +
"while sunnypilot longitudinal control is active. The extra boost follows the Following Distance setting: " +
"strongest when Aggressive, weakest when Relaxed. The stock boost remains active when this is off.")
ACCEL_BOOST_EXT_NOLONG_DESCRIPTION = tr_noop("This feature requires sunnypilot longitudinal control to be available.")
class CruiseLayout(Widget):
def __init__(self):
@@ -62,6 +57,12 @@ class CruiseLayout(Widget):
description=tr("Use map data to estimate the appropriate speed to drive through turns ahead."),
param="SmartCruiseControlMap")
self.accel_boost_toggle = toggle_item_sp(
title=tr("Acceleration Boost"),
description=tr("Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. " +
"Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first."),
param="AccelBoostSP")
self.custom_acc_toggle = toggle_item_sp(
title=tr("Custom ACC Speed Increments"),
description="",
@@ -81,11 +82,6 @@ class CruiseLayout(Widget):
min_value=1, max_value=3, value_change_step=1,
inline=True)
self.accel_boost_toggle = toggle_item_sp(
title=tr("Extra Acceleration Boost by Following Distance"),
description="",
param="FollowDistanceAccelBoost")
self.sla_settings_button = simple_button_item_sp(
button_text=lambda: tr("Speed Limit"),
button_width=800,
@@ -115,7 +111,6 @@ class CruiseLayout(Widget):
self._scroller.show_event()
self.icbm_toggle.show_description(True)
self.custom_acc_toggle.show_description(True)
self.accel_boost_toggle.show_description(True)
def _set_current_panel(self, panel: PanelType):
self._current_panel = panel
@@ -148,6 +143,8 @@ class CruiseLayout(Widget):
self.icbm_toggle.set_description(new_desc)
self.icbm_toggle.show_description(True)
self.accel_boost_toggle.action_item.set_enabled(has_long)
if has_long or has_icbm:
self.custom_acc_toggle.action_item.set_enabled(((has_long and not ui_state.CP.pcmCruise) or has_icbm) and ui_state.is_offroad())
self.scc_v_toggle.action_item.set_enabled(True)
@@ -160,17 +157,11 @@ class CruiseLayout(Widget):
self.scc_v_toggle.action_item.set_enabled(False)
self.scc_m_toggle.action_item.set_enabled(False)
self.accel_boost_toggle.action_item.set_enabled(has_long)
boost_desc = tr(ACCEL_BOOST_EXT_DESCRIPTION) if has_long else tr(ACCEL_BOOST_EXT_NOLONG_DESCRIPTION)
if self.accel_boost_toggle.description != boost_desc:
self.accel_boost_toggle.set_description(boost_desc)
self.accel_boost_toggle.show_description(True)
else:
has_icbm = has_long = False
self.icbm_toggle.action_item.set_enabled(False)
self.icbm_toggle.set_description(tr(ONROAD_ONLY_DESCRIPTION))
self.accel_boost_toggle.action_item.set_enabled(False)
self.icbm_toggle.set_description(tr(ONROAD_ONLY_DESCRIPTION))
show_custom_acc_desc = False
@@ -9,27 +9,48 @@ import pyray as rl
from openpilot.cereal import log
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.selfdrive.ui.mici.onroad import SIDE_PANEL_WIDTH
from openpilot.selfdrive.ui.mici.onroad.hud_renderer import SET_SPEED_PERSISTENCE
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import ACCEL_BOOST_MAX
from openpilot.system.ui.lib.application import gui_app
from openpilot.system.ui.widgets import Widget
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost_ext import get_accel_boost_max
# The readout is wider than the side panel, so the value is right-aligned and bleeds over the camera view
BAR_WIDTH = 24
# Fades to white only near the profile cap, like the stock torque bar fading toward orange at high torque
CAP_BLEND_START = 0.75
MAX_BOOST_BLEND = 0.45
BAR_WIDTH = 26
BAR_RADIUS = 0.5
TRACK_TOP_RATIO = 0.08
TRACK_BOTTOM_RATIO = 0.92
CAP_BLEND_START = 0.70
MAX_BOOST_BLEND = 0.55
COLOR_TRACK = rl.Color(255, 255, 255, 45)
COLOR_TRACK = rl.Color(255, 255, 255, 32)
COLOR_TRACK_EDGE = rl.Color(255, 255, 255, 70)
COLOR_HIGHLIGHT = rl.Color(255, 255, 255, 45)
AGGRESSIVE_COLOR = rl.Color(255, 80, 60, 255)
STANDARD_COLOR = rl.Color(0, 230, 120, 255)
RELAXED_COLOR = rl.Color(70, 150, 255, 255)
# The personality enum is ordered aggressive, standard, relaxed, matching ACCEL_BOOST_MAX
PROFILE_STYLES = {
0: (AGGRESSIVE_COLOR, ACCEL_BOOST_MAX[0]),
1: (STANDARD_COLOR, ACCEL_BOOST_MAX[1]),
2: (RELAXED_COLOR, ACCEL_BOOST_MAX[2]),
}
FADE_THRESHOLD = 0.01
def get_boost_style(personality) -> tuple[rl.Color, float]:
raw = getattr(personality, "raw", personality)
return PROFILE_STYLES.get(int(raw), PROFILE_STYLES[1])
def get_boost_fraction(boost: float, max_boost: float) -> float:
if max_boost <= 0.0:
return 0.0
return min(max(boost / max_boost, 0.0), 1.0)
def lighten(color: rl.Color, amount: float) -> rl.Color:
"""Lerp towards white in RGB, so the hue stays put the way HSV blending would not."""
amount = min(max(amount, 0.0), 1.0)
@@ -38,85 +59,87 @@ def lighten(color: rl.Color, amount: float) -> rl.Color:
int(color.b + (255 - color.b) * amount), color.a)
def get_boost_fraction(boost: float, max_boost: float) -> float:
"""How much of the active profile's boost budget is in use, clamped to a full bar."""
if max_boost <= 0.0:
return 0.0
return min(max(boost / max_boost, 0.0), 1.0)
def get_boost_style(personality) -> tuple[rl.Color, float]:
if personality == log.LongitudinalPersonality.aggressive:
color = AGGRESSIVE_COLOR
elif personality == log.LongitudinalPersonality.relaxed:
color = RELAXED_COLOR
else:
color = STANDARD_COLOR
return color, get_accel_boost_max(personality)
class AccelBoostIndicator(Widget):
def __init__(self):
def __init__(self, fallback: Widget | None = None, panel_width: float = SIDE_PANEL_WIDTH, bar_width: float = BAR_WIDTH):
super().__init__()
self._boost_filter = FirstOrderFilter(0.0, 0.15, 1 / gui_app.target_fps)
self._alpha_filter = FirstOrderFilter(0.0, 0.1, 1 / gui_app.target_fps)
# Smoothly rescale the bar when the follow distance profile changes mid-drive
self._max_boost_filter = FirstOrderFilter(0.0, 0.25, 1 / gui_app.target_fps)
self._profile_color = STANDARD_COLOR
self._max_boost = 0.0
self._fallback = fallback
self._panel_width = panel_width
self._bar_width = bar_width
fps = max(gui_app.target_fps, 1)
self._boost_filter = FirstOrderFilter(0.0, 0.15, 1 / fps)
self._alpha_filter = FirstOrderFilter(0.0, 0.1, 1 / fps)
self._max_boost_filter = FirstOrderFilter(0.0, 0.25, 1 / fps)
self._profile_color, self._max_boost = PROFILE_STYLES[1]
self.panel_in_use = False
self._applied_time = float('-inf')
def _update_state(self):
sm = ui_state.sm
extra_enabled = ui_state.follow_distance_accel_boost
visible = (ui_state.has_longitudinal_control and sm.alive['selfdriveState'] and sm.alive['longitudinalPlan'] and
sm['selfdriveState'].enabled)
self._alpha_filter.update(1.0 if visible and extra_enabled else 0.0)
self._boost_filter.update(float(sm['longitudinalPlan'].accelBoost) if visible else 0.0)
visible = (ui_state.accel_boost and ui_state.has_longitudinal_control and sm.alive['selfdriveState'] and
sm.alive['longitudinalPlan'] and sm['selfdriveState'].enabled)
plan = sm['longitudinalPlan']
# boost only moves the car while e2e wins the planner's min()
if visible and plan.accelBoost > FADE_THRESHOLD and plan.longitudinalPlanSource == log.LongitudinalPlan.LongitudinalPlanSource.e2e:
self._applied_time = rl.get_time()
visible = visible and rl.get_time() - self._applied_time < SET_SPEED_PERSISTENCE
self._alpha_filter.update(1.0 if visible else 0.0)
self._boost_filter.update(float(plan.accelBoost) if visible else 0.0)
if sm.alive['selfdriveState']:
self._profile_color, self._max_boost = get_boost_style(sm['selfdriveState'].personality)
self._max_boost_filter.update(self._max_boost)
# The bar owns the panel only while it is actually drawn; the ball returns when the bar fades out
self.panel_in_use = visible and extra_enabled
def _render(self, _):
alpha = self._alpha_filter.x
if alpha < FADE_THRESHOLD or self._max_boost <= 0.0:
if self._fallback is not None:
self._fallback.render(self.rect)
return
cx = self.rect.x + self.rect.width - SIDE_PANEL_WIDTH / 2
bar_x = cx - BAR_WIDTH / 2
track_top = self.rect.y + self.rect.height * 0.08
track_bottom = self.rect.y + self.rect.height * 0.92
bar_w = self._bar_width
cx = self.rect.x + self.rect.width - self._panel_width / 2
bar_x = cx - bar_w / 2
track_top = self.rect.y + self.rect.height * TRACK_TOP_RATIO
track_bottom = self.rect.y + self.rect.height * TRACK_BOTTOM_RATIO
track_h = max(1.0, track_bottom - track_top)
track_rect = rl.Rectangle(bar_x, track_top, bar_w, track_h)
# track, light enough to read on the black side panel
rl.draw_rectangle_rounded(rl.Rectangle(bar_x, track_top, BAR_WIDTH, track_h), 0.5, 12,
rl.draw_rectangle_rounded(rl.Rectangle(bar_x - 3, track_top - 3, bar_w + 6, track_h + 6), BAR_RADIUS, 12,
rl.Color(0, 0, 0, int(80 * alpha)))
rl.draw_rectangle_rounded(track_rect, BAR_RADIUS, 12,
rl.Color(COLOR_TRACK.r, COLOR_TRACK.g, COLOR_TRACK.b, int(COLOR_TRACK.a * alpha)))
rl.draw_rectangle_rounded_lines_ex(rl.Rectangle(bar_x, track_top, BAR_WIDTH, track_h), 0.5, 12, 1,
rl.draw_rectangle_rounded_lines_ex(track_rect, BAR_RADIUS, 12, 1,
rl.Color(COLOR_TRACK_EDGE.r, COLOR_TRACK_EDGE.g, COLOR_TRACK_EDGE.b,
int(COLOR_TRACK_EDGE.a * alpha)))
# Scale to the current profile's cap, so a maxed boost fills the bar and a profile change rescales it
boost = max(self._boost_filter.x, 0.0)
ratio = get_boost_fraction(boost, self._max_boost_filter.x)
fill_h = ratio * track_h
if fill_h <= 0.0:
return
cap_blend = max(0.0, (ratio - CAP_BLEND_START) / (1.0 - CAP_BLEND_START))
fill_color = lighten(self._profile_color, MAX_BOOST_BLEND * cap_blend)
if fill_h > 0.0:
# soft glow around the tip, like the confidence ball's gradient
tip_y = track_bottom - fill_h
glow = rl.Color(fill_color.r, fill_color.g, fill_color.b, int(70 * alpha))
rl.draw_circle_gradient(rl.Vector2(cx, tip_y), int(BAR_WIDTH * 0.9), glow, rl.BLANK)
tip_y = track_bottom - fill_h
fill = rl.Color(fill_color.r, fill_color.g, fill_color.b, int(255 * alpha))
if fill_h < BAR_WIDTH:
# Keep the cap inside the track: a fixed radius would paint below the track near zero boost
radius = max(1, int(fill_h / 2))
rl.draw_circle(int(cx), int(track_bottom - radius), radius, fill)
else:
rl.draw_rectangle_rounded(rl.Rectangle(bar_x, track_bottom - fill_h, BAR_WIDTH, fill_h), 0.5, 12, fill)
tip_center_y = tip_y + min(fill_h, bar_w) / 2
glow = rl.Color(fill_color.r, fill_color.g, fill_color.b, int(85 * alpha))
rl.draw_circle_gradient(rl.Vector2(cx, tip_center_y), int(bar_w * 0.85), glow, rl.BLANK)
fill = rl.Color(fill_color.r, fill_color.g, fill_color.b, int(255 * alpha))
if fill_h < bar_w:
# Keep the cap inside the track: a fixed radius would paint below the track near zero boost
radius = max(1, int(fill_h / 2))
rl.draw_circle(int(cx), int(track_bottom - radius), radius, fill)
else:
rl.draw_rectangle_rounded(rl.Rectangle(bar_x, tip_y, bar_w, fill_h), BAR_RADIUS, 12, fill)
if fill_h > 12:
highlight_rect = rl.Rectangle(bar_x + 4, tip_y + 5, 3, fill_h - 10)
rl.draw_rectangle_rounded(highlight_rect, 0.5, 8,
rl.Color(COLOR_HIGHLIGHT.r, COLOR_HIGHLIGHT.g, COLOR_HIGHLIGHT.b,
int(COLOR_HIGHLIGHT.a * alpha)))
rl.draw_circle(int(cx), int(tip_center_y), 2,
rl.Color(255, 255, 255, int(150 * alpha)))
@@ -4,56 +4,48 @@ Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import unittest
from openpilot.cereal import log
from openpilot.selfdrive.controls.lib.accel_boost import ACCEL_BOOST_MAX
from openpilot.selfdrive.ui.sunnypilot.mici.onroad.accel_boost_indicator import (get_boost_style, get_boost_fraction, lighten,
AGGRESSIVE_COLOR, RELAXED_COLOR, STANDARD_COLOR)
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost_ext import (SCALE_AGGRESSIVE, SCALE_RELAXED, SCALE_STANDARD,
get_accel_boost_max)
from openpilot.common.test import OpenpilotTestCase
from openpilot.selfdrive.ui.sunnypilot.mici.onroad.accel_boost_indicator import (
get_boost_style, get_boost_fraction, lighten,
AGGRESSIVE_COLOR, RELAXED_COLOR, STANDARD_COLOR,
)
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import ACCEL_BOOST_MAX
class TestAccelBoostIndicator(unittest.TestCase):
def test_bar_scales_with_following_distance(self):
for personality, color, scale in (
(log.LongitudinalPersonality.relaxed, RELAXED_COLOR, SCALE_RELAXED),
(log.LongitudinalPersonality.standard, STANDARD_COLOR, SCALE_STANDARD),
(log.LongitudinalPersonality.aggressive, AGGRESSIVE_COLOR, SCALE_AGGRESSIVE)):
bar_color, full_scale = get_boost_style(personality)
self.assertEqual(bar_color, color)
self.assertAlmostEqual(full_scale, ACCEL_BOOST_MAX * (1.0 + scale))
class TestAccelBoostIndicator(OpenpilotTestCase):
def test_profile_styles_match_controller_caps(self):
for personality, color, max_boost in (
(log.LongitudinalPersonality.aggressive, AGGRESSIVE_COLOR, ACCEL_BOOST_MAX[0]),
(log.LongitudinalPersonality.standard, STANDARD_COLOR, ACCEL_BOOST_MAX[1]),
(log.LongitudinalPersonality.relaxed, RELAXED_COLOR, ACCEL_BOOST_MAX[2])):
style_color, style_max = get_boost_style(personality)
assert style_color == color
assert style_max == max_boost
def test_wire_personality_picks_the_right_profile(self):
msg = log.SelfdriveState.new_message()
msg.personality = log.LongitudinalPersonality.aggressive
color, max_boost = get_boost_style(msg.personality)
assert color == AGGRESSIVE_COLOR
assert max_boost == ACCEL_BOOST_MAX[0]
def test_bar_fills_at_the_active_profile_cap(self):
caps = [get_accel_boost_max(p) for p in (log.LongitudinalPersonality.relaxed,
log.LongitudinalPersonality.standard,
log.LongitudinalPersonality.aggressive)]
self.assertEqual(caps, sorted(caps))
for cap in caps:
self.assertAlmostEqual(get_boost_fraction(cap, cap), 1.0)
self.assertAlmostEqual(get_boost_fraction(0.0, cap), 0.0)
self.assertAlmostEqual(get_boost_fraction(cap * 0.5, cap), 0.5)
for cap in ACCEL_BOOST_MAX:
assert get_boost_fraction(0.0, cap) == 0.0
assert get_boost_fraction(cap * 0.5, cap) == 0.5
assert get_boost_fraction(cap, cap) == 1.0
# A boost beyond the current cap (e.g. after switching to a shorter profile) still fills the bar
self.assertAlmostEqual(get_boost_fraction(caps[2], caps[0]), 1.0)
self.assertAlmostEqual(get_boost_fraction(0.0, 0.0), 0.0)
assert get_boost_fraction(max(ACCEL_BOOST_MAX), min(ACCEL_BOOST_MAX)) == 1.0
assert get_boost_fraction(0.0, 0.0) == 0.0
def test_cap_lighten_keeps_the_profile_hue(self):
# An HSV blend towards white sweeps relaxed blue through pink, so the fill lightens in RGB instead
relaxed = lighten(RELAXED_COLOR, 0.45)
aggressive = lighten(AGGRESSIVE_COLOR, 0.45)
self.assertGreater(relaxed.b, relaxed.r)
self.assertGreaterEqual(relaxed.b, relaxed.g)
self.assertGreater(aggressive.r, aggressive.b)
# lighter in RGB means the dimmest channel came up towards white
self.assertGreater(relaxed.r, RELAXED_COLOR.r)
self.assertGreater(aggressive.g, AGGRESSIVE_COLOR.g)
def test_wire_personality_picks_the_right_profile(self):
# Over the wire personality is a capnp DynamicEnum, which compares equal to the cereal enum but hashes differently
msg = log.SelfdriveState.new_message()
msg.personality = log.LongitudinalPersonality.aggressive
color, full_scale = get_boost_style(msg.personality)
self.assertEqual(color, AGGRESSIVE_COLOR)
self.assertAlmostEqual(full_scale, get_accel_boost_max(log.LongitudinalPersonality.aggressive))
assert relaxed.b > relaxed.r
assert relaxed.b >= relaxed.g
assert aggressive.r > aggressive.b
assert relaxed.r > RELAXED_COLOR.r
assert aggressive.g > AGGRESSIVE_COLOR.g
@@ -8,6 +8,7 @@ import pyray as rl
from openpilot.common.constants import CV
from openpilot.selfdrive.ui.mici.onroad.torque_bar import TorqueBar
from openpilot.selfdrive.ui.sunnypilot.mici.onroad.accel_boost_indicator import AccelBoostIndicator
from openpilot.selfdrive.ui.sunnypilot.onroad.developer_ui import DeveloperUiRenderer, DeveloperUiState, get_bottom_dev_ui_offset
from openpilot.selfdrive.ui.sunnypilot.onroad.road_name import RoadNameRenderer
from openpilot.selfdrive.ui.sunnypilot.onroad.rocket_fuel import RocketFuel
@@ -37,6 +38,7 @@ class HudRendererSP(HudRenderer):
self.circular_alerts_renderer = CircularAlertsRenderer()
self.speed_renderer = SpeedRenderer()
self._torque_bar = TorqueBar(scale=3.0, always=True)
self._accel_boost_indicator = AccelBoostIndicator(panel_width=72, bar_width=36)
self.pcm_cruise_speed: bool = True
self.show_icbm_status: bool = False
@@ -131,11 +133,15 @@ class HudRendererSP(HudRenderer):
def _render(self, rect: rl.Rectangle) -> None:
super()._render(rect)
hud_rect = rect
if ui_state.developer_ui in (DeveloperUiState.BOTTOM, DeveloperUiState.BOTH):
hud_rect = rl.Rectangle(rect.x, rect.y, rect.width, rect.height - get_bottom_dev_ui_offset())
if ui_state.torque_bar:
torque_rect = rect
if ui_state.developer_ui in (DeveloperUiState.BOTTOM, DeveloperUiState.BOTH):
torque_rect = rl.Rectangle(rect.x, rect.y, rect.width, rect.height - get_bottom_dev_ui_offset())
self._torque_bar.render(torque_rect)
self._torque_bar.render(hud_rect)
boost_rect = hud_rect
if ui_state.developer_ui in (DeveloperUiState.RIGHT, DeveloperUiState.BOTH):
boost_rect = rl.Rectangle(hud_rect.x, hud_rect.y, hud_rect.width - 230, hud_rect.height)
self._accel_boost_indicator.render(boost_rect)
self.developer_ui.render(rect)
self.road_name_renderer.render(rect)
@@ -44,6 +44,7 @@ class UIStateSP:
self.screensaver = ScreenSaverSP(params=self.params)
self.screensaver_enabled: bool = False
self.accel_boost: bool = False
self.active_bundle = None
self.model_runner_tinygrad: bool = False
self.active_runner_tinygrad: bool = False
@@ -65,7 +66,6 @@ class UIStateSP:
self.enforce_torque_control: bool = False
self.custom_torque_params: bool = False
self.torque_override_enabled: bool = False
self.follow_distance_accel_boost: bool = False
self._sp_initialized: bool = False
def update(self) -> None:
@@ -172,6 +172,7 @@ class UIStateSP:
# stock only counts the default big model's compiled pkl. a downloaded big bundle runs on the
# chestnut just the same, so ChestnutState has to see it as available too.
self.chestnut_compiled = self.chestnut_compiled or self.model_runner_tinygrad
self.accel_boost = self.params.get_bool("AccelBoostSP")
self.blindspot = self.params.get_bool("BlindSpot")
self.chevron_metrics = self.params.get("ChevronInfo")
self.custom_interactive_timeout = self.params.get("InteractivityTimeout", return_default=True)
@@ -189,7 +190,6 @@ class UIStateSP:
self.enforce_torque_control = self.params.get_bool("EnforceTorqueControl")
self.custom_torque_params = self.params.get_bool("CustomTorqueParams")
self.torque_override_enabled = self.params.get_bool("TorqueParamsOverrideEnabled")
self.follow_distance_accel_boost = self.params.get_bool("FollowDistanceAccelBoost")
self.torque_override_lat_accel_factor = float(self.params.get("TorqueParamsOverrideLatAccelFactor", return_default=True))
self.torque_override_friction = float(self.params.get("TorqueParamsOverrideFriction", return_default=True))
self.true_v_ego_ui = self.params.get_bool("TrueVEgoUI")
@@ -244,10 +244,6 @@ class UIStateSP:
self.params.remove("IntelligentCruiseButtonManagement")
self.has_icbm = False
# Extra boost needs sunnypilot longitudinal control; ICBM alone is not enough
if not has_long:
self.params.remove("FollowDistanceAccelBoost")
# Cruise features requiring longitudinal or ICBM
if not (has_long or self.has_icbm):
self.params.remove("CustomAccIncrementsEnabled")
@@ -0,0 +1,67 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import numpy as np
from openpilot.cereal import log
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
ACCEL_BOOST_MIN_SPEED = 1.0
ACCEL_BOOST_MAX = (0.4, 0.25, 0.1) # aggressive, standard, relaxed, m/s^2
ACCEL_BOOST_BUILD, ACCEL_BOOST_RELEASE = 0.2, 1.0 # m/s^3
BRAKE_PROB = (0.1, 0.3) # the model's brake press in 4 s: it wants to slow
GAS_PROB = (0.6, 0.8) # predicts a human gas press at this hypothesis at about 23%
CURVE_LAT_ACCEL = (1.5, 2.5)
def get_boost_max(personality=log.LongitudinalPersonality.standard):
if personality == log.LongitudinalPersonality.relaxed:
return ACCEL_BOOST_MAX[2]
elif personality == log.LongitudinalPersonality.standard:
return ACCEL_BOOST_MAX[1]
elif personality == log.LongitudinalPersonality.aggressive:
return ACCEL_BOOST_MAX[0]
else:
raise NotImplementedError("Longitudinal personality not supported")
class AccelBoostSP:
def __init__(self):
self.params = Params()
self.frame = -1
self.enabled = False
self.boost = 0.0
self.total_boost = 0.0
def update_params(self):
self.frame += 1
if self.frame % int(PARAMS_UPDATE_PERIOD / DT_MDL) != 0:
return False
enabled = self.params.get_bool("AccelBoostSP")
if enabled == self.enabled:
return False
self.enabled = enabled
self.boost = self.total_boost = 0.0
return True
def update(self, sm, output_a_target_e2e, output_a_target_mpc, a_cruise):
model = sm['modelV2']
brake_probs = model.meta.disengagePredictions.brakePressProbs
gas_probs = model.meta.disengagePredictions.gasPressProbs
if not sm['selfdriveState'].enabled or len(brake_probs) < 2 or len(gas_probs) < 2:
self.boost = self.total_boost = 0.0
return output_a_target_e2e
want = max(float(np.interp(brake_probs[1], BRAKE_PROB, [1.0, 0.0])), float(np.interp(gas_probs[1], GAS_PROB, [0.0, 1.0])))
want = 0.0 if model.action.shouldStop else want
want *= float(np.interp(abs(model.action.desiredCurvature) * sm['carState'].vEgo ** 2, CURVE_LAT_ACCEL, [1.0, 0.0]))
target = want * get_boost_max(sm['selfdriveState'].personality)
self.boost = float(np.clip(target, self.boost - ACCEL_BOOST_RELEASE * DT_MDL, self.boost + ACCEL_BOOST_BUILD * DT_MDL))
speed_scale = np.interp(sm['carState'].vEgo, [ACCEL_BOOST_MIN_SPEED, 2 * ACCEL_BOOST_MIN_SPEED], [0.0, 1.0])
self.total_boost = self.boost * speed_scale * np.interp(output_a_target_e2e, [-0.7, -0.2, 5.0], [0.0, 1.0, 1.0], right=0.0)
return output_a_target_e2e + self.total_boost
@@ -1,65 +0,0 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from openpilot.cereal import log
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.controls.lib.accel_boost import AccelBoost, ACCEL_BOOST_MAX
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
SCALE_RELAXED = 0.3
SCALE_STANDARD = 0.5
SCALE_AGGRESSIVE = 0.7
def get_accel_boost_scale(personality) -> float:
if personality == log.LongitudinalPersonality.aggressive:
return SCALE_AGGRESSIVE
if personality == log.LongitudinalPersonality.relaxed:
return SCALE_RELAXED
return SCALE_STANDARD
def get_accel_boost_max(personality) -> float:
return ACCEL_BOOST_MAX * (1.0 + get_accel_boost_scale(personality))
class AccelBoostExt:
def __init__(self, stock: AccelBoost | None = None):
self._stock = stock if stock is not None else AccelBoost()
self._extra = AccelBoost()
self.params = Params()
self.frame = -1
self.enabled = self.params.get_bool("FollowDistanceAccelBoost")
self.extra_boost = 0.0
@property
def total_boost(self) -> float:
return self._stock.total_boost + self.extra_boost
def _update_params(self) -> None:
if self.frame % int(PARAMS_UPDATE_PERIOD / DT_MDL) == 0:
self.enabled = self.params.get_bool("FollowDistanceAccelBoost")
def update(self, sm, output_a_target_e2e, output_a_target_mpc, a_cruise):
self.frame += 1
self._update_params()
if self.enabled and sm['selfdriveState'].enabled:
scale = get_accel_boost_scale(sm['selfdriveState'].personality)
extra_output = self._extra.update(sm, output_a_target_e2e, output_a_target_mpc, a_cruise)
self.extra_boost = (extra_output - output_a_target_e2e) * scale
else:
self.extra_boost = 0.0
self._extra.total_boost = 0.0
self._extra.boost_this_override = 0.0
self._extra.boost_eligible = False
return self._stock.update(sm, output_a_target_e2e, output_a_target_mpc, a_cruise)
target = output_a_target_e2e + self.extra_boost
return self._stock.update(sm, target, output_a_target_mpc, a_cruise)
@@ -9,7 +9,8 @@ from openpilot.cereal import messaging, custom
from opendbc.car import structs
from openpilot.common.constants import CV
from openpilot.selfdrive.car.cruise import V_CRUISE_MAX
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost_ext import AccelBoostExt
from openpilot.selfdrive.controls.lib.accel_boost import AccelBoost
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import AccelBoostSP
from openpilot.sunnypilot.selfdrive.controls.lib.e2e_alerts_helper import E2EAlertsHelper
from openpilot.sunnypilot.selfdrive.controls.lib.smart_cruise_control.smart_cruise_control import SmartCruiseControl
from openpilot.sunnypilot.selfdrive.controls.lib.speed_limit.speed_limit_assist import SpeedLimitAssist
@@ -30,19 +31,11 @@ class LongitudinalPlannerSP:
self.generation = int(model_bundle.generation) if (model_bundle := get_active_bundle()) else None
self.source = LongitudinalPlanSource.cruise
self.e2e_alerts_helper = E2EAlertsHelper()
self.accel_boost_sp = AccelBoostSP()
self.openpilot_longitudinal = CP.openpilotLongitudinalControl
self.output_v_target = 0.
self.output_a_target = 0.
self._accel_boost: AccelBoostExt | None = None
@property
def accel_boost(self) -> AccelBoostExt:
assert self._accel_boost is not None
return self._accel_boost
@accel_boost.setter
def accel_boost(self, controller) -> None:
self._accel_boost = AccelBoostExt(controller)
def update_targets(self, sm: messaging.SubMaster, v_ego: float, a_ego: float, v_cruise: float) -> tuple[float, float]:
CS = sm['carState']
@@ -75,6 +68,9 @@ class LongitudinalPlannerSP:
return self.output_v_target, self.output_a_target
def update(self, sm: messaging.SubMaster) -> None:
if self.accel_boost_sp.update_params():
self.accel_boost = self.accel_boost_sp if self.accel_boost_sp.enabled and self.openpilot_longitudinal else AccelBoost()
self.events_sp.clear()
self.e2e_alerts_helper.update(sm, self.events_sp)
@@ -0,0 +1,81 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from types import SimpleNamespace
from openpilot.common.parameterized import parameterized
from openpilot.common.params import Params
from openpilot.common.realtime import DT_MDL
from openpilot.common.test import OpenpilotTestCase
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost import AccelBoostSP, ACCEL_BOOST_MAX
def make_sm(brake_prob=0.05, gas_prob=0.3, lat_accel=0.0, v_ego=30.0, personality=0, enabled=True, should_stop=False):
meta = SimpleNamespace(disengagePredictions=SimpleNamespace(brakePressProbs=[0.0, brake_prob, 0.0, 0.0, 0.0, 0.0],
gasPressProbs=[0.0, gas_prob, 0.0, 0.0, 0.0, 0.0]))
action = SimpleNamespace(shouldStop=should_stop, desiredCurvature=lat_accel / v_ego ** 2)
return {'modelV2': SimpleNamespace(meta=meta, action=action), 'carState': SimpleNamespace(vEgo=v_ego),
'selfdriveState': SimpleNamespace(enabled=enabled, personality=personality)}
def settle(sm, frames=100):
boost = AccelBoostSP()
for _ in range(frames):
boost.update(sm, 0.0, 9.0, 9.0)
return boost.total_boost
class TestAccelBoostSP(OpenpilotTestCase):
@parameterized.expand([(0,), (1,), (2,)])
def test_personality_max(self, personality):
assert abs(settle(make_sm(personality=personality)) - ACCEL_BOOST_MAX[personality]) < 1e-6
def test_brake_gate_closes(self):
assert settle(make_sm(brake_prob=0.5)) == 0.0
def test_gas_reopens(self):
assert abs(settle(make_sm(brake_prob=0.5, gas_prob=0.9)) - ACCEL_BOOST_MAX[0]) < 1e-6
def test_should_stop(self):
assert settle(make_sm(gas_prob=0.9, should_stop=True)) == 0.0
@parameterized.expand([(1.5, 1.0), (2.0, 0.5), (2.5, 0.0), (-2.0, 0.5)])
def test_curve_fade(self, lat_accel, scale):
assert abs(settle(make_sm(lat_accel=lat_accel)) - scale * ACCEL_BOOST_MAX[0]) < 1e-6
def test_low_speed(self):
assert settle(make_sm(v_ego=0.5)) == 0.0
def test_disabled_resets(self):
boost = AccelBoostSP()
for _ in range(100):
boost.update(make_sm(), 0.0, 9.0, 9.0)
assert boost.update(make_sm(enabled=False), 0.0, 9.0, 9.0) == 0.0
assert boost.boost == 0.0 and boost.total_boost == 0.0
def test_build_and_release_rates(self):
boost = AccelBoostSP()
boost.update(make_sm(), 0.0, 9.0, 9.0)
assert abs(boost.total_boost - 0.01) < 1e-6
for _ in range(100):
boost.update(make_sm(), 0.0, 9.0, 9.0)
boost.update(make_sm(brake_prob=0.5), 0.0, 9.0, 9.0)
assert abs(boost.total_boost - (ACCEL_BOOST_MAX[0] - 0.05)) < 1e-6
def test_param_switch(self):
params = Params()
boost = AccelBoostSP()
params.put_bool("AccelBoostSP", True, block=True)
assert boost.update_params() and boost.enabled
for _ in range(100):
boost.update(make_sm(), 0.0, 9.0, 9.0)
params.put_bool("AccelBoostSP", False, block=True)
for _ in range(int(PARAMS_UPDATE_PERIOD / DT_MDL) - 1):
assert not boost.update_params()
assert boost.update_params() and not boost.enabled
assert boost.boost == 0.0 and boost.total_boost == 0.0
@@ -1,242 +0,0 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from types import SimpleNamespace
from unittest import mock
from openpilot.cereal import log
from openpilot.common.realtime import DT_MDL
from openpilot.common.test import OpenpilotTestCase
from openpilot.selfdrive.controls.lib.accel_boost import AccelBoost, ACCEL_BOOST_MAX, ACCEL_BOOST_PER_OVERRIDE, ACCEL_BOOST_RATE
from openpilot.sunnypilot import PARAMS_UPDATE_PERIOD
from openpilot.sunnypilot.selfdrive.controls.lib.accel_boost_ext import AccelBoostExt, get_accel_boost_max
from openpilot.sunnypilot.selfdrive.controls.lib.longitudinal_planner import LongitudinalPlannerSP
E2E_ACCEL = 0.5
PLANNER_ACCEL = 2.0
STEPS_PER_OVERRIDE = round(ACCEL_BOOST_PER_OVERRIDE / (ACCEL_BOOST_RATE * DT_MDL))
EXPECTED_SCALE = {
log.LongitudinalPersonality.relaxed: 0.3,
log.LongitudinalPersonality.standard: 0.5,
log.LongitudinalPersonality.aggressive: 0.7,
}
class FakeParams:
def __init__(self, enabled=True):
self.enabled = enabled
def get_bool(self, key):
return self.enabled
class FakeSubMaster:
def __init__(self, enabled=True, gas_pressed=False, v_ego=15.0,
personality=log.LongitudinalPersonality.standard):
self._messages = {
'selfdriveState': SimpleNamespace(enabled=enabled, personality=personality),
'carState': SimpleNamespace(gasPressed=gas_pressed, vEgo=v_ego),
}
def __getitem__(self, key):
return self._messages[key]
def update(boost, sm, e2e=E2E_ACCEL):
return boost.update(sm, e2e, PLANNER_ACCEL, PLANNER_ACCEL)
class PlannerStub(LongitudinalPlannerSP):
def __init__(self):
self._accel_boost = None
class TestAccelBoostExt(OpenpilotTestCase):
def setUp(self):
super().setUp()
self.params = FakeParams()
patcher = mock.patch("openpilot.sunnypilot.selfdrive.controls.lib.accel_boost_ext.Params", return_value=self.params)
patcher.start()
self.addCleanup(patcher.stop)
def _boost_to_max(self, personality):
boost = AccelBoostExt()
sm = FakeSubMaster(personality=personality)
# Eligibility is latched on a frame without gas, then applied on the next override.
update(boost, sm)
for _ in range(10):
sm['carState'].gasPressed = True
for _ in range(STEPS_PER_OVERRIDE):
update(boost, sm)
sm['carState'].gasPressed = False
update(boost, sm)
return boost, sm
def _applied_extra(self, boost, sm):
update(boost, sm)
return boost.extra_boost
def test_off_matches_stock_boost_exactly(self):
self.params.enabled = False
sm = FakeSubMaster()
stock = AccelBoost()
ext = AccelBoostExt()
stock_out = update(stock, sm)
ext_out = update(ext, sm)
self.assertAlmostEqual(ext_out, stock_out)
for _ in range(10):
sm['carState'].gasPressed = True
for _ in range(STEPS_PER_OVERRIDE):
stock_out = update(stock, sm)
ext_out = update(ext, sm)
self.assertAlmostEqual(ext_out, stock_out)
sm['carState'].gasPressed = False
stock_out = update(stock, sm)
ext_out = update(ext, sm)
self.assertAlmostEqual(ext_out, stock_out)
self.assertAlmostEqual(ext.total_boost, stock.total_boost)
self.assertAlmostEqual(ext._stock.total_boost, stock_out - E2E_ACCEL)
self.assertEqual(ext.extra_boost, 0.0)
self.assertEqual(ext._extra.total_boost, 0.0)
def test_no_boost_without_gas(self):
ext = AccelBoostExt()
sm = FakeSubMaster(gas_pressed=False)
out = update(ext, sm)
self.assertEqual(ext.total_boost, 0.0)
self.assertEqual(ext._extra.total_boost, 0.0)
self.assertAlmostEqual(out, E2E_ACCEL)
def test_boost_requires_e2e_to_be_limiting(self):
ext = AccelBoostExt()
sm = FakeSubMaster(gas_pressed=False)
ext.update(sm, E2E_ACCEL, E2E_ACCEL, E2E_ACCEL)
sm['carState'].gasPressed = True
for _ in range(10):
ext.update(sm, E2E_ACCEL, E2E_ACCEL, E2E_ACCEL)
self.assertEqual(ext.total_boost, 0.0)
self.assertEqual(ext._stock.total_boost, 0.0)
self.assertEqual(ext.extra_boost, 0.0)
self.assertEqual(ext._extra.total_boost, 0.0)
def test_extra_layer_per_override_cap(self):
ext = AccelBoostExt()
sm = FakeSubMaster(gas_pressed=False)
update(ext, sm)
sm['carState'].gasPressed = True
for _ in range(1000):
update(ext, sm)
self.assertAlmostEqual(ext._extra.total_boost, ACCEL_BOOST_PER_OVERRIDE)
applied = self._applied_extra(ext, sm)
expected = ACCEL_BOOST_PER_OVERRIDE * EXPECTED_SCALE[log.LongitudinalPersonality.standard]
self.assertAlmostEqual(applied, expected)
def test_extra_scales_with_following_distance(self):
applied = {}
for personality in (log.LongitudinalPersonality.relaxed,
log.LongitudinalPersonality.standard,
log.LongitudinalPersonality.aggressive):
ext, sm = self._boost_to_max(personality)
sm['carState'].gasPressed = True
applied[personality] = self._applied_extra(ext, sm)
for personality, value in applied.items():
self.assertAlmostEqual(value, ACCEL_BOOST_MAX * EXPECTED_SCALE[personality])
self.assertLess(applied[log.LongitudinalPersonality.relaxed], applied[log.LongitudinalPersonality.standard])
self.assertLess(applied[log.LongitudinalPersonality.standard], applied[log.LongitudinalPersonality.aggressive])
def test_capnp_dynamic_enum_personality_scales(self):
# Real SubMaster messages expose personality as a capnp DynamicEnum; equality still matches the enum value.
msg = log.SelfdriveState.new_message()
msg.personality = log.LongitudinalPersonality.aggressive
ext, sm = self._boost_to_max(msg.personality)
sm['carState'].gasPressed = True
applied = self._applied_extra(ext, sm)
self.assertAlmostEqual(applied, ACCEL_BOOST_MAX * EXPECTED_SCALE[log.LongitudinalPersonality.aggressive])
def test_extra_feeds_into_stock_last(self):
ext, sm = self._boost_to_max(log.LongitudinalPersonality.standard)
sm['carState'].gasPressed = True
inputs = []
original_update = AccelBoost.update
def spy(boost, sm_, e2e, mpc, cruise):
inputs.append(e2e)
return original_update(boost, sm_, e2e, mpc, cruise)
with mock.patch.object(AccelBoost, "update", spy):
out = update(ext, sm)
# First call is our extra layer on the raw target, last call is stock on the boosted target.
self.assertAlmostEqual(inputs[0], E2E_ACCEL)
self.assertAlmostEqual(inputs[-1], E2E_ACCEL + ext.extra_boost)
self.assertAlmostEqual(out, inputs[-1] + ext._stock.total_boost)
def test_extra_is_added_on_top_of_stock_boost(self):
ext, sm = self._boost_to_max(log.LongitudinalPersonality.aggressive)
sm['carState'].gasPressed = True
out = update(ext, sm)
extra = out - E2E_ACCEL - ext._stock.total_boost
self.assertAlmostEqual(ext._stock.total_boost, ACCEL_BOOST_MAX)
self.assertAlmostEqual(ext.total_boost, ACCEL_BOOST_MAX + ext.extra_boost)
self.assertAlmostEqual(ext._stock.total_boost, ACCEL_BOOST_MAX)
self.assertAlmostEqual(ext.extra_boost, ACCEL_BOOST_MAX * EXPECTED_SCALE[log.LongitudinalPersonality.aggressive])
self.assertAlmostEqual(extra, ext.extra_boost)
def test_sp_planner_wraps_assigned_stock_controller(self):
planner = PlannerStub()
stock = AccelBoost()
planner.accel_boost = stock
self.assertIsInstance(planner.accel_boost, AccelBoostExt)
self.assertIs(planner.accel_boost._stock, stock)
def test_wraps_existing_stock_controller(self):
stock = AccelBoost()
sm = FakeSubMaster()
update(stock, sm)
sm['carState'].gasPressed = True
update(stock, sm)
ext = AccelBoostExt(stock)
self.assertIs(ext._stock, stock)
self.assertAlmostEqual(ext.total_boost, stock.total_boost)
def test_boost_bar_max_matches_profile_cap(self):
for personality, scale in EXPECTED_SCALE.items():
self.assertAlmostEqual(get_accel_boost_max(personality), ACCEL_BOOST_MAX * (1.0 + scale))
def test_total_boost_is_stock_accumulated_plus_extra_applied(self):
ext, sm = self._boost_to_max(log.LongitudinalPersonality.aggressive)
sm['carState'].gasPressed = True
update(ext, sm)
self.assertAlmostEqual(ext.total_boost, ext._stock.total_boost + ext.extra_boost)
def test_turning_toggle_off_restores_stock_only(self):
ext, sm = self._boost_to_max(log.LongitudinalPersonality.aggressive)
self.assertGreater(ext._extra.total_boost, 0.0)
self.params.enabled = False
sm['carState'].gasPressed = True
# Params are re-read every PARAMS_UPDATE_PERIOD; the extra layer must clear on the next poll.
for _ in range(int(PARAMS_UPDATE_PERIOD / DT_MDL) + 1):
out = update(ext, sm)
self.assertEqual(ext._extra.total_boost, 0.0)
self.assertEqual(ext.extra_boost, 0.0)
self.assertAlmostEqual(out, E2E_ACCEL + ext._stock.total_boost)
def test_relaxing_following_distance_applies_immediately(self):
ext, sm = self._boost_to_max(log.LongitudinalPersonality.aggressive)
sm['selfdriveState'].personality = log.LongitudinalPersonality.relaxed
sm['carState'].gasPressed = True
applied = self._applied_extra(ext, sm)
self.assertAlmostEqual(applied, ACCEL_BOOST_MAX * EXPECTED_SCALE[log.LongitudinalPersonality.relaxed])
@@ -621,10 +621,10 @@
]
},
{
"key": "FollowDistanceAccelBoost",
"key": "AccelBoostSP",
"widget": "toggle",
"title": "Extra Acceleration Boost by Following Distance",
"description": "Adds extra acceleration on top of the stock gas-override boost. The extra boost follows the Following Distance setting, strongest when Aggressive and weakest when Relaxed. The stock boost remains active when this is off.",
"title": "Acceleration Boost",
"description": "Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first.",
"enablement": [
{
"type": "capability",
@@ -1362,7 +1362,17 @@
"key": "TorqueBar",
"widget": "toggle",
"title": "Steering Arc",
"description": "Display steering arc on the driving screen when lateral control is enabled."
"description": "Display steering arc on the driving screen when lateral control is enabled.",
"visibility": [
{
"type": "not",
"condition": {
"type": "capability",
"field": "device_type",
"equals": "mici"
}
}
]
},
{
"key": "ShowTurnSignals",
@@ -30,12 +30,10 @@ sections:
label: Relaxed
enablement:
- $ref: '#/macros/longitudinal'
- key: FollowDistanceAccelBoost
- key: AccelBoostSP
widget: toggle
title: Extra Acceleration Boost by Following Distance
description: Adds extra acceleration on top of the stock gas-override boost. The extra boost follows
the Following Distance setting, strongest when Aggressive and weakest when Relaxed. The stock boost
remains active when this is off.
title: Acceleration Boost
description: "Adds a small push on top of sunnypilot's own acceleration, stronger in Aggressive and gentler in Relaxed. Eases off in curves and when sunnypilot slows or stops. Never goes past your set speed, and lead-car following still comes first."
enablement:
- $ref: '#/macros/longitudinal'
- key: IntelligentCruiseButtonManagement
@@ -20,6 +20,8 @@ sections:
widget: toggle
title: Steering Arc
description: Display steering arc on the driving screen when lateral control is enabled.
visibility:
- $ref: '#/macros/hide_on_mici'
- key: ShowTurnSignals
widget: toggle
title: Display Turn Signals