mirror of
https://github.com/sunnypilot/sunnypilot.git
synced 2026-07-25 22:42:08 +08:00
Merge branch 'master' into ccnc-port
This commit is contained in:
@@ -43,6 +43,7 @@ jobs:
|
||||
with:
|
||||
submodules: true
|
||||
- name: uv lock
|
||||
if: github.repository == 'commaai/openpilot'
|
||||
run: |
|
||||
python3 -m ensurepip --upgrade
|
||||
pip3 install uv
|
||||
|
||||
@@ -154,6 +154,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
|
||||
{"MaxTimeOffroad", {PERSISTENT | BACKUP, INT, "1800"}},
|
||||
{"ModelRunnerTypeCache", {CLEAR_ON_ONROAD_TRANSITION, INT}},
|
||||
{"OffroadMode", {CLEAR_ON_MANAGER_START, BOOL}},
|
||||
{"Offroad_TiciSupport", {CLEAR_ON_MANAGER_START, JSON}},
|
||||
{"QuickBootToggle", {PERSISTENT | BACKUP, BOOL, "0"}},
|
||||
{"QuietMode", {PERSISTENT | BACKUP, BOOL, "0"}},
|
||||
{"RainbowMode", {PERSISTENT | BACKUP, BOOL, "0"}},
|
||||
|
||||
+1
-1
Submodule panda updated: f10ddc6a89...7eab6fd61b
@@ -49,5 +49,10 @@
|
||||
"text": "openpilot detected excessive %1 actuation on your last drive. Please contact support at https://comma.ai/support and share your device's Dongle ID for troubleshooting.",
|
||||
"severity": 1,
|
||||
"_comment": "Set extra field to lateral or longitudinal."
|
||||
},
|
||||
"Offroad_TiciSupport": {
|
||||
"text": "<b>Unsupported branch detected</b> - The current version of <b><u>%1</u></b> branch is no longer supported on the comma three. Please go to <b>[Device > Software]</b> and install a supported branch with <b><u>-tici</u></b> in the branch name for the comma three.",
|
||||
"severity": 1,
|
||||
"_comment": "Set extra field to the current branch name."
|
||||
}
|
||||
}
|
||||
|
||||
@@ -48,25 +48,6 @@ static const QString progressStyleError = progressStyleActive +
|
||||
" background-color: transparent;"
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||||
"}";
|
||||
|
||||
std::optional<cereal::Event::Reader> safeParamEventLoad(Params& params, const std::string& paramName) {
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std::string raw = params.get(paramName);
|
||||
if (raw.empty()) {
|
||||
return std::nullopt;
|
||||
}
|
||||
|
||||
try {
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||||
AlignedBuffer alignedBuf;
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||||
auto buf = alignedBuf.align(raw.data(), raw.size());
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||||
|
||||
capnp::FlatArrayMessageReader msg(kj::ArrayPtr<const capnp::word>(buf.begin(), buf.size()));
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return msg.getRoot<cereal::Event>();
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}
|
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catch (const kj::Exception& e) {
|
||||
qInfo() << "Invalid param" << QString::fromStdString(paramName) << ":" << e.getDescription().cStr();
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return std::nullopt;
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||||
}
|
||||
}
|
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|
||||
ModelsPanel::ModelsPanel(QWidget *parent) : QWidget(parent) {
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||||
QVBoxLayout *main_layout = new QVBoxLayout(this);
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main_layout->setContentsMargins(50, 20, 50, 20);
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||||
@@ -152,16 +133,10 @@ ModelsPanel::ModelsPanel(QWidget *parent) : QWidget(parent) {
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list->addItem(lagd_toggle_control);
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||||
|
||||
// Software delay control
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int liveDelayMaxInt = 30;
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||||
if (const auto event = safeParamEventLoad(params, "LiveDelay"); event && event->hasLiveDelay()) {
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auto liveDelay = event->getLiveDelay();
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||||
float lateralDelay = liveDelay.getLateralDelay();
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||||
liveDelayMaxInt = static_cast<int>(lateralDelay * 100.0f) + 20;
|
||||
}
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delay_control = new OptionControlSP("LagdToggleDelay", tr("Adjust Software Delay"),
|
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tr("Adjust the software delay when Live Learning Steer Delay is toggled off."
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"\nThe default software delay value is 0.2"),
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||||
"", {5, liveDelayMaxInt}, 1, false, nullptr, true, true);
|
||||
tr("Adjust the software delay when Live Learning Steer Delay is toggled off."
|
||||
"\nThe default software delay value is 0.2"),
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||||
"", {5, 50}, 1, false, nullptr, true, true);
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||||
|
||||
connect(delay_control, &OptionControlSP::updateLabels, [=]() {
|
||||
float value = QString::fromStdString(params.get("LagdToggleDelay")).toFloat();
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||||
@@ -449,27 +424,28 @@ void ModelsPanel::updateLabels() {
|
||||
"Disable to use a fixed steering response time. Keeping this on provides the stock openpilot experience.");
|
||||
bool lagdEnabled = params.getBool("LagdToggle");
|
||||
if (lagdEnabled) {
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||||
if (const auto event = safeParamEventLoad(params, "LiveDelay"); event && event->hasLiveDelay()) {
|
||||
auto liveDelay = event->getLiveDelay();
|
||||
float lateralDelay = liveDelay.getLateralDelay();
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auto liveDelayBytes = params.get("LiveDelay");
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if (!liveDelayBytes.empty()) {
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auto LD = loadCerealEvent(params, "LiveDelay");
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float lateralDelay = LD->getLiveDelay().getLateralDelay();
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desc += QString("<br><br><b><span style=\"color:#e0e0e0\">%1</span></b> <span style=\"color:#e0e0e0\">%2 s</span>")
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||||
.arg(tr("Live Steer Delay:")).arg(QString::number(lateralDelay, 'f', 3));
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||||
.arg(tr("Live Steer Delay:")).arg(QString::number(lateralDelay, 'f', 3));
|
||||
}
|
||||
} else {
|
||||
std::string carParamsBytes = params.get("CarParamsPersistent");
|
||||
auto carParamsBytes = params.get("CarParamsPersistent");
|
||||
if (!carParamsBytes.empty()) {
|
||||
capnp::FlatArrayMessageReader msg(kj::ArrayPtr<const capnp::word>(
|
||||
reinterpret_cast<const capnp::word*>(carParamsBytes.data()),
|
||||
carParamsBytes.size() / sizeof(capnp::word)));
|
||||
auto carParams = msg.getRoot<cereal::CarParams>();
|
||||
float steerDelay = carParams.getSteerActuatorDelay();
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||||
AlignedBuffer aligned_buf_cp;
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||||
capnp::FlatArrayMessageReader cmsg(aligned_buf_cp.align(carParamsBytes.data(), carParamsBytes.size()));
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||||
cereal::CarParams::Reader CP = cmsg.getRoot<cereal::CarParams>();
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||||
|
||||
float steerDelay = CP.getSteerActuatorDelay();
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||||
float softwareDelay = QString::fromStdString(params.get("LagdToggleDelay")).toFloat();
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||||
float totalLag = steerDelay + softwareDelay;
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||||
desc += QString("<br><br><span style=\"color:#e0e0e0\">"
|
||||
"<b>%1</b> %2 s + <b>%3</b> %4 s = <b>%5</b> %6 s</span>")
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||||
.arg(tr("Actuator Delay:"), QString::number(steerDelay, 'f', 2),
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tr("Software Delay:"), QString::number(softwareDelay, 'f', 2),
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tr("Total Delay:"), QString::number(totalLag, 'f', 2));
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.arg(tr("Actuator Delay:"), QString::number(steerDelay, 'f', 2),
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tr("Software Delay:"), QString::number(softwareDelay, 'f', 2),
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tr("Total Delay:"), QString::number(totalLag, 'f', 2));
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}
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}
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lagd_toggle_control->setDescription(desc);
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@@ -9,6 +9,7 @@
|
||||
|
||||
#include <QProgressBar>
|
||||
|
||||
#include "selfdrive/ui/sunnypilot/qt/util.h"
|
||||
#include "selfdrive/ui/sunnypilot/qt/offroad/settings/settings.h"
|
||||
|
||||
class ModelsPanel : public QWidget {
|
||||
|
||||
@@ -11,12 +11,39 @@ SoftwarePanelSP::SoftwarePanelSP(QWidget *parent) : SoftwarePanel(parent) {
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||||
// branch selector
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QObject::disconnect(targetBranchBtn, nullptr, nullptr, nullptr);
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connect(targetBranchBtn, &ButtonControlSP::clicked, [=]() {
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InputDialog d(tr("Search Branch"), this, tr("Enter search keywords, or leave blank to list all branches."), false);
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if (Hardware::get_device_type() == cereal::InitData::DeviceType::TICI) {
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||||
auto current = params.get("GitBranch");
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QStringList allBranches = QString::fromStdString(params.get("UpdaterAvailableBranches")).split(",");
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QStringList branches;
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for (const QString &b : allBranches) {
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if (b.endsWith("-tici")) {
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branches.append(b);
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||||
}
|
||||
}
|
||||
|
||||
for (QString b : {current.c_str(), "master-tici", "staging-tici", "release-tici"}) {
|
||||
auto i = branches.indexOf(b);
|
||||
if (i >= 0) {
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||||
branches.removeAt(i);
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||||
branches.insert(0, b);
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||||
}
|
||||
}
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||||
|
||||
QString cur = QString::fromStdString(params.get("UpdaterTargetBranch"));
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QString selection = MultiOptionDialog::getSelection(tr("Select a branch"), branches, cur, this);
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if (!selection.isEmpty()) {
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params.put("UpdaterTargetBranch", selection.toStdString());
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targetBranchBtn->setValue(QString::fromStdString(params.get("UpdaterTargetBranch")));
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||||
checkForUpdates();
|
||||
}
|
||||
} else {
|
||||
InputDialog d(tr("Search Branch"), this, tr("Enter search keywords, or leave blank to list all branches."), false);
|
||||
d.setMinLength(0);
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||||
const int ret = d.exec();
|
||||
if (ret) {
|
||||
searchBranches(d.text());
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||||
}
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||||
}
|
||||
});
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||||
|
||||
// Disable Updates toggle
|
||||
|
||||
@@ -110,3 +110,16 @@ QStringList searchFromList(const QString &query, const QStringList &list) {
|
||||
}
|
||||
return search_results;
|
||||
}
|
||||
|
||||
std::optional<cereal::Event::Reader> loadCerealEvent(Params& params, const std::string& _param) {
|
||||
std::string bytes = params.get(_param);
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||||
|
||||
try {
|
||||
AlignedBuffer aligned_buf;
|
||||
capnp::FlatArrayMessageReader cmsg(aligned_buf.align(bytes.data(), bytes.size()));
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||||
return cmsg.getRoot<cereal::Event>();
|
||||
} catch (kj::Exception& e) {
|
||||
qInfo() << "invalid " << QString::fromStdString(_param) << ":" << e.getDescription().cStr();
|
||||
return std::nullopt;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -15,8 +15,11 @@
|
||||
#include <QRegularExpression>
|
||||
#include <QWidget>
|
||||
|
||||
#include "selfdrive/ui/sunnypilot/ui.h"
|
||||
|
||||
QString getUserAgent(bool sunnylink = false);
|
||||
std::optional<QString> getSunnylinkDongleId();
|
||||
std::optional<QString> getParamIgnoringDefault(const std::string ¶m_name, const std::string &default_value);
|
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QMap<QString, QVariantMap> loadPlatformList();
|
||||
QStringList searchFromList(const QString &query, const QStringList &list);
|
||||
std::optional<cereal::Event::Reader> loadCerealEvent(Params& params, const std::string& _param);
|
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|
||||
@@ -27,7 +27,7 @@ from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
|
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from openpilot.sunnypilot.models.helpers import get_active_bundle
|
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from openpilot.sunnypilot.models.runners.helpers import get_model_runner
|
||||
|
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PROCESS_NAME = "selfdrive.modeld.modeld"
|
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PROCESS_NAME = "selfdrive.modeld.modeld_tinygrad"
|
||||
|
||||
|
||||
class FrameMeta:
|
||||
@@ -77,42 +77,47 @@ class ModelState(ModelStateBase):
|
||||
self.numpy_inputs[key] = np.zeros(shape, dtype=np.float32)
|
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# Temporal input: shape is [batch, history, features]
|
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if len(shape) == 3 and shape[1] > 1:
|
||||
buffer_history_len = max(100, (shape[1] * 4 if shape[1] < 100 else shape[1])) # Allow for higher history buffers in the future
|
||||
buffer_history_len = shape[1] * 4 if shape[1] < 99 else shape[1] # Allow for higher history buffers in the future
|
||||
feature_len = shape[2]
|
||||
self.temporal_buffers[key] = np.zeros((1, buffer_history_len, feature_len), dtype=np.float32)
|
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features_buffer_shape = self.model_runner.input_shapes.get('features_buffer')
|
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if shape[1] in (24, 25) and features_buffer_shape is not None and features_buffer_shape[1] == 24: # 20Hz
|
||||
buffer_history_len = (features_buffer_shape[1] + 1) * 4
|
||||
step = int(-buffer_history_len / shape[1])
|
||||
self.temporal_idxs_map[key] = np.arange(step, step * (shape[1] + 1), step)[::-1]
|
||||
elif shape[1] == 25: # Split
|
||||
skip = buffer_history_len // shape[1]
|
||||
self.temporal_idxs_map[key] = np.arange(buffer_history_len)[-1 - (skip * (shape[1] - 1))::skip]
|
||||
elif shape[1] == buffer_history_len: # non20hz
|
||||
self.temporal_idxs_map[key] = np.arange(buffer_history_len)
|
||||
elif shape[1] >= 99: # non20hz
|
||||
self.temporal_idxs_map[key] = np.arange(shape[1])
|
||||
self.temporal_buffers[key] = np.zeros((1, buffer_history_len, feature_len), dtype=np.float32)
|
||||
|
||||
@property
|
||||
def mlsim(self) -> bool:
|
||||
return bool(self.generation is not None and self.generation >= 11)
|
||||
|
||||
@property
|
||||
def desire_key(self) -> str:
|
||||
return next(key for key in self.numpy_inputs if key.startswith('desire'))
|
||||
|
||||
def run(self, bufs: dict[str, VisionBuf], transforms: dict[str, np.ndarray],
|
||||
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.temporal_buffers['desire'][0,:-1] = self.temporal_buffers['desire'][0,1:]
|
||||
self.temporal_buffers['desire'][0,-1] = new_desire
|
||||
inputs[self.desire_key][0] = 0
|
||||
new_desire = np.where(inputs[self.desire_key] - self.prev_desire > .99, inputs[self.desire_key], 0)
|
||||
self.prev_desire[:] = inputs[self.desire_key]
|
||||
self.temporal_buffers[self.desire_key][0,:-1] = self.temporal_buffers[self.desire_key][0,1:]
|
||||
self.temporal_buffers[self.desire_key][0,-1] = new_desire
|
||||
|
||||
# Roll buffer and assign based on desire.shape[1] value
|
||||
if self.temporal_buffers['desire'].shape[1] > self.numpy_inputs['desire'].shape[1]:
|
||||
skip = self.temporal_buffers['desire'].shape[1] // self.numpy_inputs['desire'].shape[1]
|
||||
self.numpy_inputs['desire'][:] = (
|
||||
self.temporal_buffers['desire'][0].reshape(self.numpy_inputs['desire'].shape[0], self.numpy_inputs['desire'].shape[1], skip, -1).max(axis=2))
|
||||
if self.temporal_buffers[self.desire_key].shape[1] > self.numpy_inputs[self.desire_key].shape[1]:
|
||||
skip = self.temporal_buffers[self.desire_key].shape[1] // self.numpy_inputs[self.desire_key].shape[1]
|
||||
self.numpy_inputs[self.desire_key][:] = (self.temporal_buffers[self.desire_key][0].reshape(
|
||||
self.numpy_inputs[self.desire_key].shape[0], self.numpy_inputs[self.desire_key].shape[1], skip, -1).max(axis=2))
|
||||
else:
|
||||
self.numpy_inputs['desire'][:] = self.temporal_buffers['desire'][0, self.temporal_idxs_map['desire']]
|
||||
self.numpy_inputs[self.desire_key][:] = self.temporal_buffers[self.desire_key][0, self.temporal_idxs_map[self.desire_key]]
|
||||
|
||||
for key in self.numpy_inputs:
|
||||
if key in inputs and key not in ['desire']:
|
||||
if key in inputs and key not in [self.desire_key]:
|
||||
self.numpy_inputs[key][:] = inputs[key]
|
||||
|
||||
imgs_cl = {name: self.frames[name].prepare(bufs[name], transforms[name].flatten()) for name in self.model_runner.vision_input_names}
|
||||
@@ -156,10 +161,11 @@ class ModelState(ModelStateBase):
|
||||
desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS)
|
||||
|
||||
desired_curvature = get_curvature_from_output(model_output, v_ego, lat_action_t, self.mlsim)
|
||||
if v_ego > self.MIN_LAT_CONTROL_SPEED:
|
||||
desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, self.LAT_SMOOTH_SECONDS)
|
||||
else:
|
||||
desired_curvature = prev_action.desiredCurvature
|
||||
if self.generation is not None and self.generation >= 10: # smooth curvature for post FOF models
|
||||
if v_ego > self.MIN_LAT_CONTROL_SPEED:
|
||||
desired_curvature = smooth_value(desired_curvature, prev_action.desiredCurvature, self.LAT_SMOOTH_SECONDS)
|
||||
else:
|
||||
desired_curvature = prev_action.desiredCurvature
|
||||
|
||||
return log.ModelDataV2.Action(desiredCurvature=float(desired_curvature),desiredAcceleration=float(desired_accel), shouldStop=bool(should_stop))
|
||||
|
||||
@@ -306,7 +312,7 @@ def main(demo=False):
|
||||
bufs = {name: buf_extra if 'big' in name else buf_main for name in model.model_runner.vision_input_names}
|
||||
transforms = {name: model_transform_extra if 'big' in name else model_transform_main for name in model.model_runner.vision_input_names}
|
||||
inputs:dict[str, np.ndarray] = {
|
||||
'desire': vec_desire,
|
||||
model.desire_key: vec_desire,
|
||||
'traffic_convention': traffic_convention,
|
||||
}
|
||||
|
||||
|
||||
@@ -8,12 +8,16 @@ import openpilot.sunnypilot.modeld_v2.modeld as modeld_module
|
||||
|
||||
ModelState = modeld_module.ModelState
|
||||
|
||||
|
||||
# These are the shapes extracted/loaded from the model onnx
|
||||
SHAPE_MODE_PARAMS = [
|
||||
({'desire': (1, 25, 8), 'features_buffer': (1, 25, 512), 'prev_desired_curv': (1, 25, 1)}, 'split'),
|
||||
({'desire': (1, 25, 8), 'features_buffer': (1, 24, 512), 'prev_desired_curv': (1, 25, 1)}, '20hz'),
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1)}, 'non20hz'),
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "nav_features": (1, 256), "nav_instructions": (1, 150)}, 'non20hz'), # Optimus Prime
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "lat_planner_state": (1, 4),}, 'non20hz'), # farmville
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), "lateral_control_params": (1, 2), "prev_desired_curv": (1, 100, 1)}, 'non20hz'), # wd40
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1), "lateral_control_params": (1, 2),}, 'non20hz'), # NTS
|
||||
({'desire': (1, 25, 8), 'features_buffer': (1, 24, 512)}, '20hz'), # NPR
|
||||
({'desire': (1, 100, 8), 'features_buffer': (1, 99, 512), 'prev_desired_curv': (1, 100, 1), "lateral_control_params": (1, 2),}, 'non20hz'), # NTS
|
||||
({'desire': (1, 25, 8), 'features_buffer': (1, 25, 512)}, 'split'), # Steam Powered v2
|
||||
({'desire_pulse': (1, 25, 8), 'features_buffer': (1, 25, 512)}, 'split'), # desire rename
|
||||
]
|
||||
|
||||
|
||||
@@ -95,9 +99,7 @@ def get_expected_indices(shape, constants, mode, key=None):
|
||||
idxs = np.arange(step_size, step_size * (num_elements + 1), step_size)[::-1]
|
||||
return idxs
|
||||
elif mode == 'non20hz':
|
||||
if key and shape[1] == constants.FULL_HISTORY_BUFFER_LEN:
|
||||
return np.arange(constants.FULL_HISTORY_BUFFER_LEN)
|
||||
return None
|
||||
return np.arange(shape[1])
|
||||
return None
|
||||
|
||||
|
||||
@@ -108,6 +110,8 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
|
||||
for key in shapes:
|
||||
buf = state.temporal_buffers.get(key, None)
|
||||
idxs = state.temporal_idxs_map.get(key, None)
|
||||
if buf is None:
|
||||
continue # not all shapes are 3D, and the non-3D ones are not buffered
|
||||
# Buffer shape logic
|
||||
if mode == 'split':
|
||||
expected_shape = (1, constants.FULL_HISTORY_BUFFER_LEN, shapes[key][2])
|
||||
@@ -116,10 +120,7 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
|
||||
expected_shape = (1, constants.FULL_HISTORY_BUFFER_LEN, shapes[key][2])
|
||||
expected_idxs = get_expected_indices(shapes[key], constants, '20hz', key)
|
||||
elif mode == 'non20hz':
|
||||
if key == 'features_buffer':
|
||||
expected_shape = (1, shapes[key][1]*4, shapes[key][2])
|
||||
else:
|
||||
expected_shape = (1, shapes[key][1], shapes[key][2])
|
||||
expected_shape = (1, shapes[key][1], shapes[key][2])
|
||||
expected_idxs = get_expected_indices(shapes[key], constants, 'non20hz', key)
|
||||
|
||||
assert buf is not None, f"{key}: buffer not found"
|
||||
@@ -130,10 +131,10 @@ def test_buffer_shapes_and_indices(shapes, mode, apply_patches):
|
||||
assert idxs is None or idxs.size == 0, f"{key}: buffer idxs should be None or empty"
|
||||
|
||||
|
||||
def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
|
||||
def legacy_buffer_update(buf, new_val, mode, key, constants, idxs, input_shape, prev_desire=None):
|
||||
# This is what we compare the new dynamic logic to, to ensure it does the same thing
|
||||
if mode == 'split':
|
||||
if key == 'desire':
|
||||
if key == 'desire' or key.startswith('desire'):
|
||||
buf[0,:-1] = buf[0,1:]
|
||||
buf[0,-1] = new_val
|
||||
return buf.reshape((1, constants.INPUT_HISTORY_BUFFER_LEN, constants.TEMPORAL_SKIP, -1)).max(axis=2)
|
||||
@@ -173,15 +174,22 @@ def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
|
||||
return legacy_buf[idxs]
|
||||
elif mode == 'non20hz':
|
||||
if key == 'desire':
|
||||
length = new_val.shape[0]
|
||||
buf[0,:-1,:length] = buf[0,1:,:length]
|
||||
buf[0,-1,:length] = new_val[:length]
|
||||
desire_len = constants.DESIRE_LEN
|
||||
if prev_desire is None:
|
||||
prev_desire = np.zeros(desire_len, dtype=np.float32)
|
||||
# Set first element to zero
|
||||
new_val = new_val.copy()
|
||||
new_val[0] = 0
|
||||
# Shift buffer by desire len
|
||||
buf[0][:-desire_len] = buf[0][desire_len:]
|
||||
# Only insert new desire if rising edge
|
||||
buf[0][-desire_len:] = np.where(new_val - prev_desire > 0.99, new_val, 0)
|
||||
prev_desire[:] = new_val
|
||||
return buf[0]
|
||||
elif key == 'features_buffer':
|
||||
feature_len = new_val.shape[0]
|
||||
buf[0,:-1,:feature_len] = buf[0,1:,:feature_len]
|
||||
buf[0,-1,:feature_len] = new_val[:feature_len]
|
||||
return buf[0]
|
||||
buf[0, :-1] = buf[0, 1:]
|
||||
buf[0, -1] = new_val
|
||||
return buf[0, -input_shape[1]:] # (99, 512)
|
||||
elif key == 'prev_desired_curv':
|
||||
length = new_val.shape[0]
|
||||
buf[0,:-length,0] = buf[0,length:,0]
|
||||
@@ -191,32 +199,18 @@ def legacy_buffer_update(buf, new_val, mode, key, constants, idxs):
|
||||
|
||||
|
||||
def dynamic_buffer_update(state, key, new_val, mode):
|
||||
if key == 'desire':
|
||||
state.temporal_buffers['desire'][0,:-1] = state.temporal_buffers['desire'][0,1:]
|
||||
state.temporal_buffers['desire'][0,-1] = new_val
|
||||
if state.temporal_buffers['desire'].shape[1] > state.numpy_inputs['desire'].shape[1]:
|
||||
skip = state.temporal_buffers['desire'].shape[1] // state.numpy_inputs['desire'].shape[1]
|
||||
return state.temporal_buffers['desire'][0].reshape(
|
||||
state.numpy_inputs['desire'].shape[0], state.numpy_inputs['desire'].shape[1], skip, -1
|
||||
).max(axis=2)
|
||||
else:
|
||||
return state.temporal_buffers['desire'][0, state.temporal_idxs_map['desire']]
|
||||
|
||||
inputs = {'desire': np.zeros((1, state.constants.DESIRE_LEN), dtype=np.float32)}
|
||||
for k, tb in state.temporal_buffers.items():
|
||||
if k in state.temporal_idxs_map:
|
||||
continue
|
||||
buf_len = tb.shape[1]
|
||||
if k in state.numpy_inputs:
|
||||
out_len = state.numpy_inputs[k].shape[1]
|
||||
if out_len <= buf_len:
|
||||
state.temporal_idxs_map[k] = np.arange(buf_len)[-out_len:]
|
||||
else:
|
||||
state.temporal_idxs_map[k] = np.arange(buf_len)
|
||||
else:
|
||||
state.temporal_idxs_map[k] = np.arange(buf_len)
|
||||
if key == 'desire' or key.startswith('desire'):
|
||||
inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
|
||||
for k, v in state.model_runner.input_shapes.items() if k != key}
|
||||
inputs[key] = new_val.copy()
|
||||
# ModelState.run expects desire as a pulse, so we zero the first element.
|
||||
inputs[key][0] = 0
|
||||
state.run({}, {}, inputs, prepare_only=False)
|
||||
return state.numpy_inputs[key]
|
||||
|
||||
if key == 'features_buffer':
|
||||
inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
|
||||
for k, v in state.model_runner.input_shapes.items() if k != 'features_buffer'}
|
||||
def run_model_stub():
|
||||
return {
|
||||
'hidden_state': np.asarray(new_val, dtype=np.float32).reshape(1, -1),
|
||||
@@ -226,6 +220,8 @@ def dynamic_buffer_update(state, key, new_val, mode):
|
||||
return state.numpy_inputs['features_buffer'][0]
|
||||
|
||||
if key == 'prev_desired_curv':
|
||||
inputs = {k: np.zeros(v[2], dtype=np.float32) if len(v) == 3 else np.zeros(v[1], dtype=np.float32)
|
||||
for k, v in state.model_runner.input_shapes.items() if k != 'prev_desired_curv'}
|
||||
def run_model_stub():
|
||||
return {
|
||||
'hidden_state': np.zeros((1, state.constants.FEATURE_LEN), dtype=np.float32),
|
||||
@@ -241,16 +237,27 @@ def dynamic_buffer_update(state, key, new_val, mode):
|
||||
@pytest.mark.parametrize("key", ["desire", "features_buffer", "prev_desired_curv"])
|
||||
def test_buffer_update_equivalence(shapes, mode, key, apply_patches):
|
||||
state = ModelState(None)
|
||||
if key == "desire":
|
||||
desire_keys = [k for k in shapes.keys() if k.startswith('desire')]
|
||||
if desire_keys:
|
||||
actual_key = desire_keys[0] # Use the first (and likely only) desire key
|
||||
else:
|
||||
actual_key = key
|
||||
|
||||
if actual_key not in state.numpy_inputs:
|
||||
pytest.skip()
|
||||
|
||||
constants = DummyModelRunner(shapes).constants
|
||||
buf = state.temporal_buffers.get(key, None)
|
||||
idxs = state.temporal_idxs_map.get(key, None)
|
||||
input_shape = shapes[key]
|
||||
buf = state.temporal_buffers.get(actual_key, None)
|
||||
idxs = state.temporal_idxs_map.get(actual_key, None)
|
||||
input_shape = shapes[actual_key]
|
||||
prev_desire = np.zeros(constants.DESIRE_LEN, dtype=np.float32) if key == 'desire' else None
|
||||
|
||||
for step in range(20): # multiple steps to ensure history is built up
|
||||
new_val = np.full((input_shape[2],), step, dtype=np.float32)
|
||||
expected = legacy_buffer_update(buf, new_val, mode, key, constants, idxs)
|
||||
actual = dynamic_buffer_update(state, key, new_val, mode)
|
||||
# Model returns the reduced numpy_inputs history, compare the last n entries so the test is checking the same slices.
|
||||
expected = legacy_buffer_update(buf, new_val, mode, actual_key, constants, idxs, input_shape, prev_desire)
|
||||
actual = dynamic_buffer_update(state, actual_key, new_val, mode)
|
||||
if expected is not None and actual is not None and expected.shape != actual.shape:
|
||||
if expected.ndim == 2 and actual.ndim == 2 and expected.shape[1] == actual.shape[1]:
|
||||
expected = expected[-actual.shape[0]:]
|
||||
assert np.allclose(actual, expected), f"{mode} {key}: dynamic buffer update does not match legacy logic"
|
||||
assert np.allclose(actual, expected), f"{mode} {actual_key}: dynamic buffer update does not match legacy logic"
|
||||
|
||||
@@ -8,6 +8,7 @@ See the LICENSE.md file in the root directory for more details.
|
||||
import time
|
||||
|
||||
import requests
|
||||
from requests.exceptions import (SSLError, RequestException, HTTPError)
|
||||
from openpilot.common.params import Params
|
||||
from openpilot.common.swaglog import cloudlog
|
||||
from sunnypilot.models.helpers import is_bundle_version_compatible
|
||||
@@ -122,19 +123,36 @@ class ModelFetcher:
|
||||
self.model_cache = ModelCache(params)
|
||||
self.model_parser = ModelParser()
|
||||
|
||||
def _fetch_and_cache_models(self) -> list[custom.ModelManagerSP.ModelBundle]:
|
||||
"""Fetches fresh model data from remote and updates cache"""
|
||||
def _fetch_and_cache_models(self) -> list[custom.ModelManagerSP.ModelBundle] | None:
|
||||
"""Fetches fresh model data from remote and updates cache.
|
||||
Returns None on transport errors. Raises on 404 and other fatal HTTP errors.
|
||||
"""
|
||||
try:
|
||||
response = requests.get(self.MODEL_URL, timeout=10)
|
||||
response.raise_for_status()
|
||||
json_data = response.json()
|
||||
|
||||
# Explicitly handle 404 differently
|
||||
if response.status_code == 404:
|
||||
cloudlog.error(f"Models URL returned 404 Not Found: {self.MODEL_URL}")
|
||||
raise HTTPError(f"404 Not Found: {self.MODEL_URL}", response=response)
|
||||
|
||||
# Raise for any other 4xx/5xx
|
||||
response.raise_for_status()
|
||||
|
||||
json_data = response.json()
|
||||
self.model_cache.set(json_data)
|
||||
cloudlog.debug("Successfully updated models cache")
|
||||
return self.model_parser.parse_models(json_data)
|
||||
except Exception:
|
||||
cloudlog.exception("Error fetching models")
|
||||
raise
|
||||
|
||||
except ConnectionError as e:
|
||||
cloudlog.warning(f"DNS/connection error while fetching models: {e}")
|
||||
except SSLError as e:
|
||||
cloudlog.warning(f"SSL error while fetching models: {e}")
|
||||
except RequestException as e:
|
||||
cloudlog.warning(f"Request transport error while fetching models: {e}")
|
||||
except Exception as e:
|
||||
cloudlog.exception(f"Unexpected error fetching models: {e}")
|
||||
|
||||
return None
|
||||
|
||||
def get_available_bundles(self) -> list[custom.ModelManagerSP.ModelBundle]:
|
||||
"""Gets the list of available models, with smart cache handling"""
|
||||
@@ -144,12 +162,12 @@ class ModelFetcher:
|
||||
cloudlog.debug("Using valid cached models data")
|
||||
return self.model_parser.parse_models(cached_data)
|
||||
|
||||
try:
|
||||
return self._fetch_and_cache_models()
|
||||
except Exception:
|
||||
if not cached_data:
|
||||
cloudlog.exception("Failed to fetch fresh data and no cache available")
|
||||
raise
|
||||
fetched_bundles = self._fetch_and_cache_models()
|
||||
if fetched_bundles is not None:
|
||||
return fetched_bundles
|
||||
|
||||
if not cached_data:
|
||||
cloudlog.warning("Failed to fetch fresh data and no cache available")
|
||||
|
||||
cloudlog.warning("Failed to fetch fresh data. Using expired cache as fallback")
|
||||
return self.model_parser.parse_models(cached_data)
|
||||
|
||||
@@ -19,7 +19,7 @@ from openpilot.system.hardware.hw import Paths
|
||||
from pathlib import Path
|
||||
|
||||
# see the README.md for more details on the model selector versioning
|
||||
CURRENT_SELECTOR_VERSION = 9
|
||||
CURRENT_SELECTOR_VERSION = 10
|
||||
REQUIRED_MIN_SELECTOR_VERSION = 9
|
||||
|
||||
USE_ONNX = os.getenv('USE_ONNX', PC)
|
||||
|
||||
@@ -3,7 +3,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import base64
|
||||
import errno
|
||||
import gzip
|
||||
import json
|
||||
import os
|
||||
import ssl
|
||||
import threading
|
||||
@@ -17,11 +19,11 @@ from openpilot.common.swaglog import cloudlog
|
||||
from openpilot.system.athena.athenad import ws_send, jsonrpc_handler, \
|
||||
recv_queue, UploadQueueCache, upload_queue, cur_upload_items, backoff, ws_manage, log_handler, start_local_proxy_shim, upload_handler
|
||||
from websocket import (ABNF, WebSocket, WebSocketException, WebSocketTimeoutException,
|
||||
create_connection)
|
||||
create_connection, WebSocketConnectionClosedException)
|
||||
|
||||
import cereal.messaging as messaging
|
||||
from sunnypilot.sunnylink.api import SunnylinkApi
|
||||
from sunnypilot.sunnylink.utils import sunnylink_need_register, sunnylink_ready
|
||||
from sunnypilot.sunnylink.utils import sunnylink_need_register, sunnylink_ready, get_param_as_byte
|
||||
|
||||
SUNNYLINK_ATHENA_HOST = os.getenv('SUNNYLINK_ATHENA_HOST', 'wss://ws.stg.api.sunnypilot.ai')
|
||||
HANDLER_THREADS = int(os.getenv('HANDLER_THREADS', "4"))
|
||||
@@ -107,10 +109,13 @@ def ws_recv(ws: WebSocket, end_event: threading.Event) -> None:
|
||||
except WebSocketTimeoutException:
|
||||
ns_since_last_ping = int(time.monotonic() * 1e9) - last_ping
|
||||
if ns_since_last_ping > SUNNYLINK_RECONNECT_TIMEOUT_S * 1e9:
|
||||
cloudlog.exception("sunnylinkd.ws_recv.timeout")
|
||||
cloudlog.warning("sunnylinkd.ws_recv.timeout")
|
||||
end_event.set()
|
||||
except Exception:
|
||||
cloudlog.exception("sunnylinkd.ws_recv.exception")
|
||||
except Exception as e:
|
||||
if isinstance(e, WebSocketConnectionClosedException):
|
||||
cloudlog.warning(f"sunnylinkd.ws_recv.{type(e).__name__}")
|
||||
else:
|
||||
cloudlog.exception("sunnylinkd.ws_recv.exception")
|
||||
end_event.set()
|
||||
|
||||
|
||||
@@ -137,11 +142,15 @@ def ws_queue(end_event: threading.Event) -> None:
|
||||
sunnylink_api.resume_queued(timeout=29)
|
||||
resume_requested = True
|
||||
tries = 0
|
||||
except Exception:
|
||||
cloudlog.exception("sunnylinkd.ws_queue.resume_queued.exception")
|
||||
except Exception as e:
|
||||
if isinstance(e, (ConnectionError, TimeoutError)):
|
||||
cloudlog.warning(f"sunnylinkd.ws_queue.resume_queued.{type(e).__name__}")
|
||||
else:
|
||||
cloudlog.exception("sunnylinkd.ws_queue.resume_queued.exception")
|
||||
|
||||
resume_requested = False
|
||||
tries += 1
|
||||
time.sleep(backoff(tries)) # Wait for the backoff time before the next attempt
|
||||
time.sleep(backoff(tries))
|
||||
|
||||
if end_event.is_set():
|
||||
cloudlog.debug("end_event is set, exiting ws_queue thread")
|
||||
@@ -171,16 +180,22 @@ def getParamsAllKeys() -> list[str]:
|
||||
|
||||
@dispatcher.add_method
|
||||
def getParams(params_keys: list[str], compression: bool = False) -> str | dict[str, str]:
|
||||
params = Params()
|
||||
|
||||
try:
|
||||
params = Params()
|
||||
params_dict: dict[str, bytes] = {key: params.get(key) or b'' for key in params_keys}
|
||||
param_keys_validated = [key for key in params_keys if key in getParamsAllKeys()]
|
||||
params_dict: dict[str, list[dict[str, str | bool | int ]]] = {"params": [
|
||||
{
|
||||
"key": key,
|
||||
"value": base64.b64encode(gzip.compress(get_param_as_byte(key)) if compression else get_param_as_byte(key)).decode('utf-8'),
|
||||
"type": int(params.get_type(key).value),
|
||||
"is_compressed": compression
|
||||
} for key in param_keys_validated
|
||||
]}
|
||||
|
||||
# Compress the values before encoding to base64 as output from params.get is bytes and same for compression
|
||||
if compression:
|
||||
params_dict = {key: gzip.compress(value) for key, value in params_dict.items()}
|
||||
|
||||
# Last step is to encode the values to base64 and decode to utf-8 for JSON serialization
|
||||
return {key: base64.b64encode(value).decode('utf-8') for key, value in params_dict.items()}
|
||||
response = {str(param.get('key')): str(param.get('value')) for param in params_dict.get("params", [])}
|
||||
response |= {"params": json.dumps(params_dict.get("params", []))} # Upcoming for settings v1
|
||||
return response
|
||||
|
||||
except Exception as e:
|
||||
cloudlog.exception("sunnylinkd.getParams.exception", e)
|
||||
@@ -252,14 +267,19 @@ def main(exit_event: threading.Event = None):
|
||||
handle_long_poll(ws, exit_event)
|
||||
except (KeyboardInterrupt, SystemExit):
|
||||
break
|
||||
except (ConnectionError, TimeoutError, WebSocketException):
|
||||
except Exception as e:
|
||||
conn_retries += 1
|
||||
params.remove("LastSunnylinkPingTime")
|
||||
except Exception:
|
||||
cloudlog.exception("sunnylinkd.main.exception")
|
||||
|
||||
conn_retries += 1
|
||||
params.remove("LastSunnylinkPingTime")
|
||||
if isinstance(e, (ConnectionError, TimeoutError, WebSocketException)):
|
||||
cloudlog.warning(f"sunnylinkd.main.{type(e).__name__}")
|
||||
elif isinstance(e, OSError):
|
||||
name = errno.errorcode.get(e.errno or -1, "UNKNOWN")
|
||||
msg = f"sunnylinkd.main.OSError.{name} ({e.errno})"
|
||||
is_expected_error = e.errno in (errno.ENETDOWN, errno.ENETRESET, errno.ENETUNREACH)
|
||||
cloudlog.warning(msg) if is_expected_error else cloudlog.exception(msg)
|
||||
else:
|
||||
cloudlog.exception("sunnylinkd.main.exception")
|
||||
|
||||
time.sleep(backoff(conn_retries))
|
||||
|
||||
|
||||
@@ -20,6 +20,7 @@ from openpilot.system.version import get_version
|
||||
from cereal import messaging, custom
|
||||
from sunnypilot.sunnylink.api import SunnylinkApi
|
||||
from sunnypilot.sunnylink.backups.utils import decrypt_compressed_data, encrypt_compress_data, SnakeCaseEncoder
|
||||
from sunnypilot.sunnylink.utils import get_param_as_byte
|
||||
|
||||
|
||||
class OperationType(Enum):
|
||||
@@ -74,7 +75,7 @@ class BackupManagerSP:
|
||||
config_data = {}
|
||||
params_to_backup = [k.decode('utf-8') for k in self.params.all_keys(ParamKeyFlag.BACKUP)]
|
||||
for param in params_to_backup:
|
||||
value = str(self.params.get(param)).encode('utf-8')
|
||||
value = get_param_as_byte(param)
|
||||
if value is not None:
|
||||
config_data[param] = base64.b64encode(value).decode('utf-8')
|
||||
return config_data
|
||||
@@ -113,6 +114,7 @@ class BackupManagerSP:
|
||||
payload = json.loads(json.dumps(backup_info.to_dict(), cls=SnakeCaseEncoder))
|
||||
self._update_progress(75.0, OperationType.BACKUP)
|
||||
|
||||
cloudlog.debug(f"Uploading backup with payload: {json.dumps(payload)}")
|
||||
# Upload to sunnylink
|
||||
result = self.api.api_get(
|
||||
f"backup/{self.device_id}",
|
||||
@@ -124,9 +126,11 @@ class BackupManagerSP:
|
||||
if result:
|
||||
self.backup_status = custom.BackupManagerSP.Status.completed
|
||||
self._update_progress(100.0, OperationType.BACKUP)
|
||||
cloudlog.info("Backup successfully created and uploaded")
|
||||
else:
|
||||
self.backup_status = custom.BackupManagerSP.Status.failed
|
||||
self.last_error = "Failed to upload backup"
|
||||
cloudlog.error(result)
|
||||
self._report_status()
|
||||
|
||||
return bool(self.backup_status == custom.BackupManagerSP.Status.completed)
|
||||
@@ -264,8 +268,8 @@ class BackupManagerSP:
|
||||
# Check for backup command
|
||||
if self.params.get_bool("BackupManager_CreateBackup"):
|
||||
try:
|
||||
await self.create_backup()
|
||||
reset_progress = True
|
||||
if await self.create_backup():
|
||||
reset_progress = True
|
||||
finally:
|
||||
self.params.remove("BackupManager_CreateBackup")
|
||||
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import json
|
||||
from sunnypilot.sunnylink.api import SunnylinkApi, UNREGISTERED_SUNNYLINK_DONGLE_ID
|
||||
from openpilot.common.params import Params
|
||||
from openpilot.common.params import Params, ParamKeyType
|
||||
from openpilot.system.version import is_prebuilt
|
||||
|
||||
|
||||
@@ -55,3 +56,15 @@ def get_api_token():
|
||||
sunnylink_api = SunnylinkApi(sunnylink_dongle_id)
|
||||
token = sunnylink_api.get_token()
|
||||
print(f"API Token: {token}")
|
||||
|
||||
|
||||
def get_param_as_byte(param_name: str) -> bytes:
|
||||
params = Params()
|
||||
param = params.get(param_name)
|
||||
param_type = params.get_type(param_name)
|
||||
|
||||
if param_type == ParamKeyType.BYTES:
|
||||
return bytes(param)
|
||||
elif param_type == ParamKeyType.JSON:
|
||||
return json.dumps(param).encode('utf-8')
|
||||
return str(param).encode('utf-8')
|
||||
|
||||
@@ -9,3 +9,5 @@ export VECLIB_MAXIMUM_THREADS=1
|
||||
if [ -z "$AGNOS_VERSION" ]; then
|
||||
export AGNOS_VERSION="12.8"
|
||||
fi
|
||||
|
||||
export STAGING_ROOT="/data/safe_staging"
|
||||
|
||||
@@ -24,7 +24,7 @@ from openpilot.system.statsd import statlog
|
||||
from openpilot.common.swaglog import cloudlog
|
||||
from openpilot.system.hardware.power_monitoring import PowerMonitoring
|
||||
from openpilot.system.hardware.fan_controller import TiciFanController
|
||||
from openpilot.system.version import terms_version, training_version
|
||||
from openpilot.system.version import terms_version, training_version, get_build_metadata
|
||||
|
||||
ThermalStatus = log.DeviceState.ThermalStatus
|
||||
NetworkType = log.DeviceState.NetworkType
|
||||
@@ -326,6 +326,16 @@ def hardware_thread(end_event, hw_queue) -> None:
|
||||
startup_conditions["not_always_offroad"] = not offroad_mode
|
||||
onroad_conditions["not_always_offroad"] = not offroad_mode
|
||||
|
||||
# if an unsupported device and branch is detected, going onroad is blocked
|
||||
# only allow going onroad when:
|
||||
# - TIZI, or
|
||||
# - TICI and channel_type is "tici"
|
||||
build_metadata = get_build_metadata()
|
||||
is_unsupported_combo = TICI and HARDWARE.get_device_type() == "tici" and build_metadata.channel_type != "tici"
|
||||
startup_conditions["not_tici"] = not is_unsupported_combo
|
||||
onroad_conditions["not_tici"] = not is_unsupported_combo
|
||||
set_offroad_alert("Offroad_TiciSupport", is_unsupported_combo, extra_text=build_metadata.channel)
|
||||
|
||||
# if the temperature enters the danger zone, go offroad to cool down
|
||||
onroad_conditions["device_temp_good"] = thermal_status < ThermalStatus.danger
|
||||
extra_text = f"{offroad_comp_temp:.1f}C"
|
||||
|
||||
@@ -7,7 +7,6 @@ import psutil
|
||||
import shutil
|
||||
import signal
|
||||
import fcntl
|
||||
import time
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from pathlib import Path
|
||||
@@ -19,7 +18,7 @@ from openpilot.common.markdown import parse_markdown
|
||||
from openpilot.common.swaglog import cloudlog
|
||||
from openpilot.selfdrive.selfdrived.alertmanager import set_offroad_alert
|
||||
from openpilot.system.hardware import AGNOS, HARDWARE
|
||||
from openpilot.system.version import get_build_metadata
|
||||
from openpilot.system.version import get_build_metadata, SP_BRANCH_MIGRATIONS
|
||||
|
||||
LOCK_FILE = os.getenv("UPDATER_LOCK_FILE", "/tmp/safe_staging_overlay.lock")
|
||||
STAGING_ROOT = os.getenv("UPDATER_STAGING_ROOT", "/data/safe_staging")
|
||||
@@ -190,15 +189,6 @@ def finalize_update() -> None:
|
||||
run(["git", "reset", "--hard"], FINALIZED)
|
||||
run(["git", "submodule", "foreach", "--recursive", "git", "reset", "--hard"], FINALIZED)
|
||||
|
||||
cloudlog.info("Starting git cleanup in finalized update")
|
||||
t = time.monotonic()
|
||||
try:
|
||||
run(["git", "gc"], FINALIZED)
|
||||
run(["git", "lfs", "prune"], FINALIZED)
|
||||
cloudlog.event("Done git cleanup", duration=time.monotonic() - t)
|
||||
except subprocess.CalledProcessError:
|
||||
cloudlog.exception(f"Failed git cleanup, took {time.monotonic() - t:.3f} s")
|
||||
|
||||
set_consistent_flag(True)
|
||||
cloudlog.info("done finalizing overlay")
|
||||
|
||||
@@ -242,9 +232,7 @@ class Updater:
|
||||
b: str | None = self.params.get("UpdaterTargetBranch")
|
||||
if b is None:
|
||||
b = self.get_branch(BASEDIR)
|
||||
b = {
|
||||
("tici", "release3"): "release-tici"
|
||||
}.get((HARDWARE.get_device_type(), b), b)
|
||||
b = SP_BRANCH_MIGRATIONS.get((HARDWARE.get_device_type(), b), b)
|
||||
return b
|
||||
|
||||
@property
|
||||
|
||||
+12
-2
@@ -16,6 +16,13 @@ MASTER_SP_BRANCHES = ['master']
|
||||
RELEASE_BRANCHES = ['release3-staging', 'release3', 'release-tici', 'nightly'] + RELEASE_SP_BRANCHES
|
||||
TESTED_BRANCHES = RELEASE_BRANCHES + ['devel', 'devel-staging', 'nightly-dev'] + TESTED_SP_BRANCHES
|
||||
|
||||
SP_BRANCH_MIGRATIONS = {
|
||||
("tici", "staging-c3-new"): "staging-tici",
|
||||
("tici", "dev-c3-new"): "staging-tici",
|
||||
("tici", "master"): "master-tici",
|
||||
("tici", "master-dev-c3-new"): "master-tici",
|
||||
}
|
||||
|
||||
BUILD_METADATA_FILENAME = "build.json"
|
||||
|
||||
training_version: str = "0.2.0"
|
||||
@@ -85,7 +92,8 @@ class OpenpilotMetadata:
|
||||
|
||||
@property
|
||||
def sunnypilot_remote(self) -> bool:
|
||||
return self.git_normalized_origin == "github.com/sunnypilot/sunnypilot"
|
||||
return self.git_normalized_origin in ("github.com/sunnypilot/sunnypilot",
|
||||
"github.com/sunnypilot/openpilot")
|
||||
|
||||
@property
|
||||
def git_normalized_origin(self) -> str:
|
||||
@@ -127,7 +135,9 @@ class BuildMetadata:
|
||||
|
||||
@property
|
||||
def channel_type(self) -> str:
|
||||
if self.development_channel:
|
||||
if self.channel.endswith("-tici"):
|
||||
return "tici"
|
||||
elif self.development_channel:
|
||||
return "development"
|
||||
elif self.channel.startswith("staging-"):
|
||||
return "staging"
|
||||
|
||||
Reference in New Issue
Block a user