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28 Commits

Author SHA1 Message Date
firestar5683 d933985528 Update carstate.py 2025-05-31 15:41:43 -05:00
firestar5683 ee0c4dd326 Update tinygrad_modeld.py 2025-05-31 13:00:41 -05:00
FrogAi 9dbfb72d11 agnos 10.1.1 2025-05-28 21:53:29 -05:00
firestar5683 1f35475fbe Vikander Model 2025-05-24 15:07:08 -05:00
firestar5683 9464394b2f Restore Sanity
AHHHHHHH
2025-05-18 13:20:42 -05:00
firestar5683 c462d1b33f Update interface.py 2025-05-12 15:11:50 -05:00
firestar5683 d315ea6222 Update interface.py 2025-05-12 14:23:23 -05:00
firestar5683 ad94ba732a Revert "Merge branch 'TorqueTune' of https://github.com/firestar5683/StarPilot into TorqueTune"
This reverts commit 956e070540, reversing
changes made to caa24fd8bd.
2025-05-12 13:20:26 -05:00
firestar5683 956e070540 Merge branch 'TorqueTune' of https://github.com/firestar5683/StarPilot into TorqueTune 2025-05-12 13:20:12 -05:00
firestar5683 caa24fd8bd Revert "Update interface.py"
This reverts commit d563c72f72.
2025-05-12 13:20:11 -05:00
firestar5683 d563c72f72 Update interface.py
Update interface.py

Update interface.py

Update interface.py
2025-05-12 13:20:09 -05:00
firestar5683 439f5af91d Update interface.py 2025-05-12 02:01:19 -05:00
firestar5683 0256906d21 Update interface.py 2025-05-12 00:21:17 -05:00
firestar5683 6d16039cd8 Update interface.py 2025-05-11 01:42:00 -05:00
firestar5683 7157ccc607 Update interface.py 2025-05-11 00:35:23 -05:00
firestar5683 5b416be265 Disable Low Check 2025-05-06 20:48:03 -05:00
firestar5683 b80862e594 Revert "Tomb Raider 6"
This reverts commit e03c21a913.
2025-05-06 16:46:54 -05:00
firestar5683 7c388640c0 Revert "TRv7 w DTR"
This reverts commit 9158a18315.
2025-05-06 16:46:32 -05:00
firestar5683 9158a18315 TRv7 w DTR
Update tinygrad_modeld.py
2025-05-06 12:13:02 -05:00
firestar5683 7ca6a62276 Update frogpilot_utilities.py 2025-04-30 23:39:24 -05:00
firestar5683 e03c21a913 Tomb Raider 6 2025-04-29 21:40:55 -05:00
firestar5683 a90c2eb4b1 Logging
Delete not_vetted
2025-04-29 21:40:54 -05:00
firestar5683 194084f415 TorqueTune 2025-04-26 01:42:41 -05:00
FrogAi f912421bd7 Compile FrogPilot 2025-04-25 15:19:44 -07:00
FrogAi 7bcc3f455b Update 2025-04-25 15:19:35 -07:00
FrogAi 94010a84ab FrogPilot 0.9.7 2025-04-15 22:03:14 -07:00
FrogAi 24eac8f4be OPGM
Co-Authored-By: Eric Brown <13560103+nworb-cire@users.noreply.github.com>
2025-04-12 12:00:00 -07:00
FrogAi 3ec3c9702a openpilot v0.9.7 release
date: 2024-06-11T01:36:39
master commit: f8cb04e4a8b032b72a909f68b808a50936184bee
2025-04-12 12:00:00 -07:00
5730 changed files with 978082 additions and 1126847 deletions
-3
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@@ -1,3 +0,0 @@
((c++-mode (flycheck-gcc-language-standard . "c++11")
(flycheck-clang-language-standard . "c++11")
))
-24
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@@ -1,24 +0,0 @@
.git
.DS_Store
notebooks
phone
massivemap
neos
installer
chffr/app2
chffr/backend/env
selfdrive/nav
selfdrive/baseui
chffr/lib/vidindex/vidindex
chffr/lib/index_log/index_log
selfdrive/test/simulator2
**/cache_data
xx/chffr/lib/index_log/index_log
xx/chffr/lib/vidindex/vidindex
xx/plus
xx/community
xx/projects
!xx/projects/eon_testing_master
!xx/projects/map3d
xx/ops
xx/junk
-27
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@@ -1,27 +0,0 @@
*.keras filter=lfs diff=lfs merge=lfs -text
*.dlc filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.apk filter=lfs diff=lfs merge=lfs -text
*.ipynb filter=nbstripout -diff
external/ffmpeg/bin/ffmpeg_cuda filter=lfs diff=lfs merge=lfs -text
models/segnet.keras filter=lfs diff=lfs merge=lfs -text
external/zmq/lib/libzmq.a filter=lfs diff=lfs merge=lfs -text
external/zmq/lib/libczmq.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/x64/lib/libacado_toolkit.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/x64/lib/libacado_toolkit_s.so.1.2.2beta filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/x64/lib/libacado_casadi.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/x64/lib/libacado_csparse.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/x64/lib/libacado_qpoases.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/aarch64/lib/libacado_toolkit.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/aarch64/lib/libacado_toolkit_s.so.1.2.2beta filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/aarch64/lib/libacado_casadi.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/aarch64/lib/libacado_csparse.a filter=lfs diff=lfs merge=lfs -text
phonelibs/acado/aarch64/lib/libacado_qpoases.a filter=lfs diff=lfs merge=lfs -text
phonelibs/fastcv/aarch64/libfastcvopt.so filter=lfs diff=lfs merge=lfs -text
phonelibs/fastcv/aarch64/libfastcvadsp_stub.so filter=lfs diff=lfs merge=lfs -text
external/mac/MP4Box filter=lfs diff=lfs merge=lfs -text
models/segnet2.keras filter=lfs diff=lfs merge=lfs -text
external/opencl/*.deb filter=lfs diff=lfs merge=lfs -text
phonelibs/zmq/aarch64-linux/lib/libzmq.a filter=lfs diff=lfs merge=lfs -text
external/azcopy/azcopy filter=lfs diff=lfs merge=lfs -text
-25
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@@ -1,25 +0,0 @@
---
name: Bug report
about: Create a report to help us improve openpilot
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**How to reproduce or log data**
Steps to reproduce the behavior, or a explorer/cabana link to the exact drive and timestamp of when the bug occurred.
**Expected behavior**
A clear and concise description of what you expected to happen.
**Device/Version information (please complete the following information):**
- Device: [e.g. EON/EON Gold]
- Version: [e.g. 0.6.4], or commit hash when on devel
- Car make/model [e.g. Toyota Prius 2016]
**Additional context**
Add any other context about the problem here.
+264
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@@ -0,0 +1,264 @@
name: Compile FrogPilot
on:
workflow_dispatch:
inputs:
not_vetted:
description: "This branch is not vetted"
required: false
default: "false"
type: boolean
publish_frogpilot:
description: "Push to FrogPilot"
required: false
default: "false"
type: boolean
publish_staging:
description: "Push to FrogPilot-Staging"
required: false
default: "false"
type: boolean
publish_testing:
description: "Push to FrogPilot-Testing"
required: false
default: "false"
type: boolean
publish_custom_branch:
description: "Push to custom branch:"
required: false
default: ""
type: string
update_translations:
description: "Update missing translations"
required: false
default: "false"
type: boolean
vet_existing_translations:
description: "Vet existing translations"
required: false
default: "false"
type: boolean
env:
BASEDIR: "${{ github.workspace }}"
BUILD_DIR: /data/openpilot
OPENAI_API_KEY: "${{ secrets.OPENAI_API_KEY }}"
jobs:
get_branch:
runs-on: [self-hosted, c3x]
outputs:
branch: ${{ steps.get_branch.outputs.branch }}
python_version: ${{ steps.get_python_version.outputs.python_version }}
steps:
- name: Determine Current Branch on Runner
id: get_branch
run: |
cd $BUILD_DIR
BRANCH=$(git rev-parse --abbrev-ref HEAD)
echo "branch=$BRANCH" >> $GITHUB_OUTPUT
- name: Get Python Version from Runner
id: get_python_version
run: |
PYTHON_VERSION=$(tr -d '[:space:]' < "$BUILD_DIR/.python-version")
echo "python_version=$PYTHON_VERSION" >> $GITHUB_OUTPUT
translate:
if: inputs.update_translations
needs: get_branch
runs-on: ubuntu-latest
steps:
- name: Configure Git Identity
run: |
git config --global user.name "${{ github.actor }}"
git config --global user.email "${{ github.actor }}@users.noreply.github.com"
- name: Checkout Required Files
uses: actions/checkout@v4
with:
ref: ${{ needs.get_branch.outputs.branch }}
sparse-checkout: |
frogpilot/ui/
selfdrive/controls/lib/alerts_offroad.json
selfdrive/ui/
selfdrive/ui/update_translations.py
selfdrive/ui/translations/
selfdrive/ui/translations/auto_translate.py
- name: Set Up Python
uses: actions/setup-python@v4
with:
python-version: "${{ needs.get_branch.outputs.python_version }}"
- name: Install Dependencies
run: pip install requests
- name: Install Qt5 Tools
run: sudo apt update && sudo apt install -y qttools5-dev-tools
- name: Update Translations
run: python selfdrive/ui/update_translations.py --vanish
- name: Translate Missing or Outdated Translations
run: python selfdrive/ui/translations/auto_translate.py --all-files $([[ "${{ github.event.inputs.vet_existing_translations }}" == "true" ]] && echo "--vet-translations")
- name: Commit and Push Translation Updates
run: |
if git diff --quiet selfdrive/ui/translations/*.ts; then
echo "No translation updates detected."
exit 0
fi
git fetch --unshallow origin ${{ needs.get_branch.outputs.branch }}
git checkout ${{ needs.get_branch.outputs.branch }}
git add selfdrive/ui/translations/*.ts
git commit --amend --no-edit
git push --force origin ${{ needs.get_branch.outputs.branch }}
build_and_push:
needs:
- get_branch
- translate
if: always()
runs-on: [self-hosted, c3x]
permissions:
contents: write
defaults:
run:
working-directory: ${{ env.BUILD_DIR }}
steps:
- name: Configure Git Identity
run: |
git config --global http.postBuffer 104857600
git config --global user.name "${{ github.actor }}"
git config --global user.email "${{ github.actor }}@users.noreply.github.com"
- name: Update Repository
run: |
git remote set-url origin https://${{ secrets.PERSONAL_ACCESS_TOKEN }}@github.com/FrogAi/FrogPilot.git
if [ "${{ github.event.inputs.update_translations }}" = "true" ]; then
git fetch origin ${{ needs.get_branch.outputs.branch }}
git reset --hard origin/${{ needs.get_branch.outputs.branch }}
git pull origin ${{ needs.get_branch.outputs.branch }}
fi
- name: Take Ownership of Build
run: |
sudo chown -R $(whoami):$(whoami) .
- name: Finalize Build
run: |
rm -f .clang-tidy
rm -f .dockerignore
rm -f .editorconfig
rm -f .gitattributes
rm -f .gitmodules
rm -f .lfsconfig
rm -f .overlay_init
rm -f .pre-commit-config.yaml
rm -f .sconsign.dblite
rm -f codecov.yml
rm -f conftest.py
rm -f poetry.lock
rm -f pyproject.toml
rm -f teleoprtc
rm -f Dockerfile.openpilot
rm -f Dockerfile.openpilot_base
rm -f Jenkinsfile
rm -f panda/board/obj/.placeholder
rm -f panda/board/obj/bootstub.panda.elf
rm -f panda/board/obj/bootstub.panda_h7.elf
rm -f panda/board/obj/panda.bin
rm -f panda/board/obj/panda.elf
rm -f panda/board/obj/panda_h7.bin
rm -f panda/board/obj/panda_h7.elf
rm -f panda/board/obj/version
find . -name '*.a' -delete
find . -name '*.cc' -delete
find . -name '*.o' -delete
find . -name '*.onnx' -delete
find . -name '*.os' -delete
find . -name '*.pyc' -delete
find . -name 'moc_*' -delete
find . -name '*.h' | while read -r header; do
if [[ "$header" != *"common/version.h" && "$header" != *"system/camerad/sensors/"* ]]; then
rm -f "$header"
fi
done
rm -rf .devcontainer/
rm -rf .vscode/
rm -rf body/
rm -rf opendbc/generator/
rm -rf release/
rm -rf scripts/
rm -rf site_scons/
rm -rf teleoprtc_repo/
find .github -mindepth 1 -maxdepth 1 ! -name 'workflows' -exec rm -rf {} +
find .github/workflows -mindepth 1 ! \( \
-type f \( \
-name 'compile_frogpilot.yaml' -o \
-name 'review_pull_request.yaml' -o \
-name 'schedule_update.yaml' -o \
-name 'update_pr_branch.yaml' -o \
-name 'update_release_branch.yaml' \
\) \
\) -exec rm -rf {} +
find panda/board/jungle -type f ! -name '__init__.py' -delete
find panda/board/jungle -type d -empty -delete
find third_party/ -name '*x86*' -exec rm -rf {} +
find third_party/ -name '*Darwin*' -exec rm -rf {} +
find tools/ -mindepth 1 -maxdepth 1 ! \( -name '__init__.py' -o -name 'bodyteleop' -o -name 'lib' -o -name 'scripts' \) -exec rm -rf {} +
find . -name 'SConstruct' -delete
find . -name 'SConscript' -delete
find . -type d \( -iname "debug" -o -iname "test" -o -iname "tests" \) -exec rm -rf {} +
find . -type d -empty ! -path "./.git*" -delete
find . -type d -name '__pycache__' -exec rm -rf {} +
find . -type f -regex '.*matlab.*\.md' -delete
touch prebuilt
if [ "${{ github.event.inputs.not_vetted }}" = "true" ]; then
touch not_vetted
fi
- name: Add the update_date file
if: github.event.inputs.publish_staging == 'true'
run: |
curl -fLsS https://raw.githubusercontent.com/FrogAi/FrogPilot/FrogPilot-Staging/.github/update_date -o .github/update_date || echo "No update_date found, skipping."
- name: Commit Build
run: |
git add -f .
git commit -m "Compile FrogPilot"
git push --force origin HEAD
if [ "${{ github.event.inputs.publish_frogpilot }}" = "true" ]; then
git push --force origin HEAD:"FrogPilot"
fi
if [ "${{ github.event.inputs.publish_staging }}" = "true" ]; then
git push --force origin HEAD:"FrogPilot-Staging"
fi
if [ "${{ github.event.inputs.publish_testing }}" = "true" ]; then
git push --force origin HEAD:"FrogPilot-Testing"
fi
if [ -n "${{ github.event.inputs.publish_custom_branch }}" ]; then
git push --force origin HEAD:"${{ github.event.inputs.publish_custom_branch }}"
fi
@@ -0,0 +1,34 @@
name: Review Pull Request
on:
pull_request_target:
types: [opened, reopened]
env:
GITHUB_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
jobs:
pr_check:
runs-on: ubuntu-latest
steps:
- name: Exit If PR Opened by FrogAi
if: ${{ github.actor == 'FrogAi' }}
run: |
echo PR opened or reopened by FrogAi. No action needed.
exit 0
- name: Close PR for Invalid Target Branch
if: ${{ github.base_ref != 'MAKE-PRS-HERE' }}
run: |
gh api repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments \
-f body="Please submit your pull request to the \"MAKE-PRS-HERE\" branch."
gh api repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }} \
-X PATCH \
-f state="closed"
- name: Acknowledge PR for Valid Target Branch
if: ${{ github.base_ref == 'MAKE-PRS-HERE' }}
run: |
gh api repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments \
-f body="Thank you for your PR! If you're not already in the FrogPilot Discord, [feel free to join](https://discord.FrogPilot.download) and let me know you've opened a PR!"
+57
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name: Schedule FrogPilot Update
on:
workflow_dispatch:
inputs:
scheduled_date:
description: "Enter the date to update the \"FrogPilot\" branch (YYYY-MM-DD)"
required: true
env:
BRANCH: FrogPilot-Staging
jobs:
schedule-update:
runs-on: ubuntu-latest
steps:
- name: Configure Git Identity
run: |
git config --global user.name "${{ github.actor }}"
git config --global user.email "${{ github.actor }}@users.noreply.github.com"
- name: Checkout ${{ env.BRANCH }}
uses: actions/checkout@v3
with:
ref: ${{ env.BRANCH }}
fetch-depth: 3
- name: Schedule Update for ${{ github.event.inputs.scheduled_date }}
run: |
echo "${{ github.event.inputs.scheduled_date }}" > .github/update_date
git add .github/update_date
- name: Get Target Commit (Second Most Recent)
id: get_target
run: |
TARGET_COMMIT=$(git rev-parse HEAD~1)
AUTHOR_DATE=$(git show -s --format=%aD "$TARGET_COMMIT")
COMMITTER_DATE=$(git show -s --format=%cD "$TARGET_COMMIT")
echo "AUTHOR_DATE=$AUTHOR_DATE" >> $GITHUB_ENV
echo "COMMITTER_DATE=$COMMITTER_DATE" >> $GITHUB_ENV
echo "TARGET_COMMIT=$TARGET_COMMIT" >> $GITHUB_ENV
- name: Create Fixup Commit for ${{ env.TARGET_COMMIT }}
run: git commit --fixup="${{ env.TARGET_COMMIT }}"
- name: Autosquash Fixup into Target Commit
run: |
GIT_SEQUENCE_EDITOR=: git rebase --autosquash -i HEAD~3
- name: Restore Timestamps on Final Two Commits
run: |
git rebase --exec "GIT_COMMITTER_DATE='${{ env.COMMITTER_DATE }}' git commit --amend --no-edit --date='${{ env.AUTHOR_DATE }}'" HEAD~2
- name: Push Updated ${{ env.BRANCH }} Branch
run: git push origin "${{ env.BRANCH }}" --force-with-lease
-125
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name: Openpilot Tests
on: [push, pull_request]
env:
RUN: docker run --shm-size 1G --rm tmppilot /bin/sh -c
LOAD: docker load -i tmppilot.tar.gz/tmppilot.tar.gz
UNIT_TEST: cd /tmp/openpilot && python -m unittest discover
jobs:
build:
name: build
runs-on: ubuntu-16.04
steps:
- uses: actions/checkout@v2
- name: Checkout submodules
run: |
git submodule update --init
- run: |
docker pull $(grep -ioP '(?<=^from)\s+\S+' Dockerfile.openpilot) || true
docker pull docker.io/commaai/openpilot:latest || true
docker build --cache-from docker.io/commaai/openpilot:latest -t tmppilot -f Dockerfile.openpilot .
docker save tmppilot:latest | gzip > tmppilot.tar.gz
- uses: actions/upload-artifact@v1
with:
name: tmppilot.tar.gz
path: tmppilot.tar.gz
linter:
name: linter
runs-on: ubuntu-16.04
needs: build
steps:
- uses: actions/download-artifact@v1
with:
name: tmppilot.tar.gz
- name: Load image
run: $LOAD
- name: flake8
run: $RUN "cd /tmp/openpilot/ && ./flake8_openpilot.sh"
- name: pylint
run: $RUN "cd /tmp/openpilot/ && ./pylint_openpilot.sh"
unit_tests:
name: unit tests
runs-on: ubuntu-16.04
needs: build
steps:
- uses: actions/download-artifact@v1
with:
name: tmppilot.tar.gz
- name: Load image
run: $LOAD
- name: Run unit tests
run: |
$RUN cd /tmp/openpilot/selfdrive/test/test_fingerprints.py
$RUN "$UNIT_TEST common"
$RUN "$UNIT_TEST opendbc/can"
$RUN "$UNIT_TEST selfdrive/boardd"
$RUN "$UNIT_TEST selfdrive/controls"
$RUN "$UNIT_TEST selfdrive/loggerd"
$RUN "$UNIT_TEST selfdrive/car"
$RUN "$UNIT_TEST selfdrive/locationd"
$RUN "$UNIT_TEST selfdrive/athena"
process_replay:
name: process replay
runs-on: ubuntu-16.04
needs: build
timeout-minutes: 30
steps:
- uses: actions/download-artifact@v1
with:
name: tmppilot.tar.gz
- name: Load image
run: $LOAD
- name: Run replay
run: |
CONTAINER_NAME="tmppilot_${GITHUB_SHA}"
docker run --shm-size 1G --name ${CONTAINER_NAME} tmppilot /bin/sh -c "cd /tmp/openpilot/selfdrive/test/process_replay && CI=1 ./test_processes.py"
docker cp $CONTAINER_NAME:/tmp/openpilot/selfdrive/test/process_replay/diff.txt diff.txt
docker rm $CONTAINER_NAME
- uses: actions/upload-artifact@v1
if: always()
with:
name: process_replay_diff.txt
path: diff.txt
test_longitudinal:
name: longitudinal
runs-on: ubuntu-16.04
needs: build
timeout-minutes: 30
steps:
- uses: actions/download-artifact@v1
with:
name: tmppilot.tar.gz
- name: Load image
run: $LOAD
- name: Test longitudinal
run: |
CONTAINER_NAME="tmppilot_${GITHUB_SHA}"
docker run --shm-size 1G --name ${CONTAINER_NAME} tmppilot /bin/sh -c "cd /tmp/openpilot/selfdrive/test/longitudinal_maneuvers && OPTEST=1 ./test_longitudinal.py"
mkdir out
docker cp $CONTAINER_NAME:/tmp/openpilot/selfdrive/test/longitudinal_maneuvers/out/longitudinal/ out/
docker rm $CONTAINER_NAME
- uses: actions/upload-artifact@v1
if: always()
with:
name: longitudinal
path: out
test_car_models:
name: test car models
runs-on: ubuntu-16.04
needs: build
timeout-minutes: 30
steps:
- uses: actions/download-artifact@v1
with:
name: tmppilot.tar.gz
- name: Load image
run: $LOAD
- name: Test car models
run: $RUN "mkdir -p /data/params && cd /tmp/openpilot/selfdrive/test/ && ./test_car_models.py"
+99
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@@ -0,0 +1,99 @@
name: Update MAKE-PRS-HERE
on:
push:
branches:
- FrogPilot-Staging
env:
SOURCE_BRANCH: FrogPilot-Staging
TARGET_BRANCH: MAKE-PRS-HERE
jobs:
update_branch:
runs-on: ubuntu-latest
steps:
- name: Configure Git Identity
run: |
git config --global user.name "${{ github.actor }}"
git config --global user.email "${{ github.actor }}@users.noreply.github.com"
- name: Checkout ${{ env.SOURCE_BRANCH }}
uses: actions/checkout@v3
with:
ref: "${{ env.SOURCE_BRANCH }}"
fetch-depth: 0
- name: Find "Compile FrogPilot" Commit in ${{ env.SOURCE_BRANCH }}
id: find_parent
run: |
COMMIT=$(git rev-list HEAD -n 1 --grep="Compile FrogPilot")
if [ -z "$COMMIT" ]; then
echo "Commit with message 'Compile FrogPilot' not found." >&2
exit 1
fi
PARENT=$(git rev-list --parents -n 1 "$COMMIT" | awk '{print $2}')
if [ -z "$PARENT" ]; then
echo "Parent commit not found." >&2
exit 1
fi
echo "Compile commit: $COMMIT"
echo "Parent commit: $PARENT"
echo "parent_commit=$PARENT" >> "$GITHUB_OUTPUT"
echo "compile_commit=$COMMIT" >> "$GITHUB_OUTPUT"
- name: Checkout ${{ env.TARGET_BRANCH }}
run: |
git fetch origin "${{ env.TARGET_BRANCH }}"
git checkout "${{ env.TARGET_BRANCH }}"
- name: Clean ${{ env.TARGET_BRANCH }} and Apply Updates from ${{ env.SOURCE_BRANCH }}
run: |
git rm -r --ignore-unmatch .
git clean -fdx
PARENT_COMMIT="${{ steps.find_parent.outputs.parent_commit }}"
git checkout "$PARENT_COMMIT" -- .
COMPILE_COMMIT="${{ steps.find_parent.outputs.compile_commit }}"
SOURCE_HEAD=$(git rev-parse "origin/${{ env.SOURCE_BRANCH }}")
if [ "$COMPILE_COMMIT" != "$SOURCE_HEAD" ]; then
echo "Applying changes from '${{ env.SOURCE_BRANCH }}' branch..."
git cherry-pick --no-commit "${COMPILE_COMMIT}".."$SOURCE_HEAD"
fi
rm -f .github/update_date
git add --all
- name: Commit and Push to ${{ env.TARGET_BRANCH }}
run: |
TZ_VALUE="America/Phoenix"
current_day=$(TZ="$TZ_VALUE" date +"%-d")
month=$(TZ="$TZ_VALUE" date +"%B")
year=$(TZ="$TZ_VALUE" date +"%Y")
if [[ "$current_day" =~ ^1[123]$ ]]; then
suffix="th"
else
case $(($current_day % 10)) in
1) suffix="st" ;;
2) suffix="nd" ;;
3) suffix="rd" ;;
*) suffix="th" ;;
esac
fi
commit_message="${month} ${current_day}${suffix}, ${year} Update"
echo "Commit message: $commit_message"
if git log --oneline --format="%s" | grep -q "$commit_message"; then
echo "Existing commit found with message: $commit_message"
git commit --amend --no-edit
else
git commit -m "$commit_message"
fi
git push origin "${{ env.TARGET_BRANCH }}" --force
@@ -0,0 +1,132 @@
name: Update FrogPilot Branch
on:
schedule:
- cron: "0 18 * * *"
env:
BRANCH_FROGPILOT: FrogPilot
BRANCH_PREVIOUS: FrogPilot-Previous
BRANCH_STAGING: FrogPilot-Staging
TZ: America/Phoenix
UPDATE_FILE: .github/update_date
jobs:
check_update:
runs-on: ubuntu-latest
outputs:
update_due: ${{ steps.check_update.outputs.update_due }}
scheduled_date: ${{ steps.check_update.outputs.scheduled_date }}
steps:
- name: Download the 'update_date' File
id: download_update
run: |
curl -fLsS "https://raw.githubusercontent.com/FrogAi/FrogPilot/${{ env.BRANCH_STAGING }}/${{ env.UPDATE_FILE }}" -o update_date || touch update_date_missing
- name: Check If Update Is Due
id: check_update
run: |
if [ -f update_date_missing ]; then
echo "No update_date file found in FrogPilot-Staging."
echo "update_due=false" >> "$GITHUB_OUTPUT"
exit 0
fi
SCHEDULED_DATE=$(cat update_date)
CURRENT_DATE=$(TZ="${{ env.TZ }}" date +%F)
echo "Scheduled Date: $SCHEDULED_DATE"
echo "Current Date: $CURRENT_DATE"
if [ "$SCHEDULED_DATE" != "$CURRENT_DATE" ]; then
echo "Update not due."
echo "update_due=false" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "update_due=true" >> "$GITHUB_OUTPUT"
echo "scheduled_date=$SCHEDULED_DATE" >> "$GITHUB_OUTPUT"
update_branch:
needs: check_update
if: ${{ needs.check_update.outputs.update_due == 'true' }}
runs-on: ubuntu-latest
steps:
- name: Configure Git Identity
run: |
git config --global user.name "${{ github.actor }}"
git config --global user.email "${{ github.actor }}@users.noreply.github.com"
- name: Checkout ${{ env.BRANCH_STAGING }}
uses: actions/checkout@v3
with:
fetch-depth: 0
ref: ${{ env.BRANCH_STAGING }}
- name: Update README Date and Remove (${{ env.UPDATE_FILE }})
run: |
DAY=$(TZ="${{ env.TZ }}" date +'%d' | sed 's/^0//')
case "$DAY" in
1|21|31) SUFFIX="st" ;;
2|22) SUFFIX="nd" ;;
3|23) SUFFIX="rd" ;;
*) SUFFIX="th" ;;
esac
MONTH=$(TZ="${{ env.TZ }}" date +'%B')
YEAR=$(TZ="${{ env.TZ }}" date +'%Y')
NEW_DATE="**${MONTH} ${DAY}${SUFFIX}, ${YEAR}**"
echo "Updating README date to ${NEW_DATE}"
sed -i "/FrogPilot was last updated on:/ { N; N; s/\(\n\)\n.*$/\1\n${NEW_DATE}/; }" README.md
git add README.md
git rm -f "${{ env.UPDATE_FILE }}"
git commit -m "Updated README date to ${NEW_DATE}"
- name: Squash Commits
run: |
COMMIT_MSG=$(git log -1 --pretty=%B HEAD~1)
git reset --soft HEAD~2
git commit -m "$COMMIT_MSG"
- name: Rewrite Commit Dates to Noon ${{ env.TZ }}
run: |
COMMIT_DATETIME="${{ needs.check_update.outputs.scheduled_date }} 12:00"
COMMIT_PHX=$(TZ="${{ env.TZ }}" date -d "$COMMIT_DATETIME" +"%Y-%m-%dT%H:%M:%S %z")
git filter-branch --env-filter "export GIT_AUTHOR_DATE='$COMMIT_PHX'; export GIT_COMMITTER_DATE='$COMMIT_PHX'" "${{ env.BRANCH_STAGING }}"
- name: Fetch ${{ env.BRANCH_PREVIOUS }} and ${{ env.BRANCH_FROGPILOT }}
run: |
git fetch origin ${{ env.BRANCH_PREVIOUS }} ${{ env.BRANCH_FROGPILOT }}
- name: Wait Until Noon ${{ env.TZ }} Before Continuing
run: |
NOW=$(TZ="${{ env.TZ }}" date +%s)
TARGET=$(TZ="${{ env.TZ }}" date -d "12:00" +%s)
if [ "$NOW" -lt "$TARGET" ]; then
SLEEP_TIME=$((TARGET - NOW))
echo "Sleeping for $SLEEP_TIME seconds until noon..."
sleep $SLEEP_TIME
else
echo "It is already noon or past noon, proceeding immediately."
fi
- name: Push ${{ env.BRANCH_STAGING }}
run: |
git push origin "${{ env.BRANCH_STAGING }}" --force
- name: Reset ${{ env.BRANCH_PREVIOUS }} to Match ${{ env.BRANCH_FROGPILOT }}
run: |
git switch "${{ env.BRANCH_PREVIOUS }}"
git reset --hard "origin/${{ env.BRANCH_FROGPILOT }}"
git push origin "${{ env.BRANCH_PREVIOUS }}" --force
- name: Reset ${{ env.BRANCH_FROGPILOT }} to Match ${{ env.BRANCH_STAGING }}
run: |
git switch "${{ env.BRANCH_FROGPILOT }}"
git reset --hard "origin/${{ env.BRANCH_STAGING }}"
git push origin "${{ env.BRANCH_FROGPILOT }}" --force
+40 -14
View File
@@ -1,4 +1,8 @@
venv/
.venv/
.ci_cache
.env
.clang-format
.DS_Store
.tags
.ipynb_checkpoints
@@ -6,9 +10,9 @@ venv/
.overlay_init
.overlay_consistent
.sconsign.dblite
.vscode
model2.png
a.out
.hypothesis
*.dylib
*.DSYM
@@ -20,40 +24,62 @@ a.out
.*.un~
*.tmp
*.o
*.o-*
*.os
*.os-*
*.so
*.a
*.clb
*.class
*.pyxbldc
*.vcd
*.qm
config.json
clcache
compile_commands.json
compare_runtime*.html
persist
board/obj/
selfdrive/boardd/boardd
selfdrive/pandad/pandad
cereal/services.h
cereal/gen
selfdrive/logcatd/logcatd
selfdrive/mapd/default_speeds_by_region.json
selfdrive/proclogd/proclogd
selfdrive/ui/_ui
system/proclogd/proclogd
selfdrive/ui/translations/alerts_generated.h
selfdrive/ui/translations/tmp
selfdrive/test/longitudinal_maneuvers/out
selfdrive/visiond/visiond
selfdrive/loggerd/loggerd
selfdrive/sensord/_gpsd
selfdrive/sensord/_sensord
selfdrive/camerad/camerad
selfdrive/car/tests/cars_dump
system/camerad/camerad
system/camerad/test/ae_gray_test
selfdrive/modeld/_modeld
selfdrive/modeld/_dmonitoringmodeld
/src/
one
openpilot
notebooks
xx
panda_jungle
hyperthneed
provisioning
.coverage*
coverage.xml
htmlcov
pandaextra
.mypy_cache/
flycheck_*
cppcheck_report.txt
comma*.sh
selfdrive/modeld/thneed/compile
selfdrive/modeld/models/*.thneed
selfdrive/modeld/models/*.pkl
*.bz2
build/
!**/.gitkeep
poetry.toml
Pipfile
-16
View File
@@ -1,16 +0,0 @@
[submodule "panda"]
path = panda
url = ../../commaai/panda.git
[submodule "opendbc"]
path = opendbc
url = ../../commaai/opendbc.git
[submodule "laika_repo"]
path = laika_repo
url = ../../commaai/laika.git
[submodule "apks"]
path = apks
url = ../../commaai/openpilot-apks.git
[submodule "cereal"]
path = cereal
url = ../../commaai/cereal.git
+1
View File
@@ -0,0 +1 @@
3.11.4
-40
View File
@@ -1,40 +0,0 @@
# How to contribute
Our software is open source so you can solve your own problems without needing help from others. And if you solve a problem and are so kind, you can upstream it for the rest of the world to use.
Most open source development activity is coordinated through our [Discord](https://discord.comma.ai). A lot of documentation is available on our [medium](https://medium.com/@comma_ai/)
## Getting Started
* Join our [Discord](https://discord.comma.ai)
* Make sure you have a [GitHub account](https://github.com/signup/free)
* Fork [our repositories](https://github.com/commaai) on GitHub
## Testing
### Local Testing
You can test your changes on your machine by running `run_docker_tests.sh`. This will run some automated tests in docker against your code.
### Automated Testing
All PRs are automatically checked by travis. Check out `.travis.yml` for what travis runs. Any new tests sould be added to travis.
### Code Style and Linting
Code is automatically check for style by travis as part of the automated tests. You can also run these yourself by running `check_code_quality.sh`.
## Car Ports (openpilot)
We've released a [Model Port guide](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) for porting to Toyota/Lexus models.
If you port openpilot to a substantially new car brand, see this more generic [Brand Port guide](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84). You might also be eligible for a bounty. See our bounties at [comma.ai/bounties.html](https://comma.ai/bounties.html)
## Pull Requests
Pull requests should be against the master branch. Before running master on in-car hardware, you'll need to run
```
git submodule init
git submodule update
```
in order to pull down the submodules, such as `panda` and `opendbc`.
-88
View File
@@ -1,88 +0,0 @@
FROM ubuntu:16.04
ENV PYTHONUNBUFFERED 1
RUN apt-get update && apt-get install -y \
autoconf \
build-essential \
bzip2 \
clang \
cmake \
curl \
ffmpeg \
git \
libarchive-dev \
libbz2-dev \
libcurl4-openssl-dev \
libeigen3-dev \
libffi-dev \
libglew-dev \
libgles2-mesa-dev \
libglfw3-dev \
libglib2.0-0 \
liblzma-dev \
libmysqlclient-dev \
libomp-dev \
libopencv-dev \
libssl-dev \
libsqlite3-dev \
libtool \
libusb-1.0-0-dev \
libzmq5-dev \
locales \
ocl-icd-libopencl1 \
ocl-icd-opencl-dev \
opencl-headers \
python-dev \
python-pip \
screen \
sudo \
vim \
wget
RUN sed -i -e 's/# en_US.UTF-8 UTF-8/en_US.UTF-8 UTF-8/' /etc/locale.gen && locale-gen
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US:en
ENV LC_ALL en_US.UTF-8
RUN curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash
ENV PATH="/root/.pyenv/bin:/root/.pyenv/shims:${PATH}"
RUN pyenv install 3.7.3
RUN pyenv global 3.7.3
RUN pyenv rehash
RUN pip install pipenv==2018.11.26
COPY Pipfile /tmp/
COPY Pipfile.lock /tmp/
RUN python --version
RUN cd /tmp && pipenv install --system --deploy
# Install subset of dev dependencies needed for CI
RUN pip install matplotlib==3.1.1 dictdiffer==0.8.0 fastcluster==1.1.25 aenum==2.2.1 scipy==1.3.1 lru-dict==1.1.6 tenacity==5.1.1 azure-common==1.1.23 azure-nspkg==3.0.2 azure-storage-blob==2.1.0 azure-storage-common==2.1.0 azure-storage-nspkg==3.1.0 pycurl==7.43.0.3
ENV PATH="/tmp/openpilot/external/bin:${PATH}"
ENV PYTHONPATH /tmp/openpilot:${PYTHONPATH}
RUN mkdir -p /tmp/openpilot
COPY ./flake8_openpilot.sh /tmp/openpilot/
COPY ./pylint_openpilot.sh /tmp/openpilot/
COPY ./.pylintrc /tmp/openpilot/
COPY ./release /tmp/openpilot/release
COPY ./common /tmp/openpilot/common
COPY ./cereal /tmp/openpilot/cereal
COPY ./opendbc /tmp/openpilot/opendbc
COPY ./selfdrive /tmp/openpilot/selfdrive
COPY ./phonelibs /tmp/openpilot/phonelibs
COPY ./pyextra /tmp/openpilot/pyextra
COPY ./panda /tmp/openpilot/panda
COPY ./external /tmp/openpilot/external
COPY ./tools /tmp/openpilot/tools
COPY SConstruct /tmp/openpilot/SConstruct
RUN mkdir -p /tmp/openpilot/selfdrive/test/out
RUN cd /tmp/openpilot && scons -j$(nproc)
Vendored
-23
View File
@@ -1,23 +0,0 @@
pipeline {
agent {
docker {
image 'python:3.7.3'
args '--user=root'
}
}
stages {
stage('EON Build/Test') {
steps {
lock(resource: "", label: 'eon', inversePrecedence: true, variable: 'eon_name', quantity: 1){
timeout(time: 30, unit: 'MINUTES') {
dir(path: 'release') {
sh 'pip install paramiko'
sh 'python remote_build.py'
}
}
}
}
}
}
}
-130
View File
@@ -1,130 +0,0 @@
[[source]]
name = "pypi"
url = "https://pypi.org/simple"
verify_ssl = true
[dev-packages]
opencv-python= "==3.4.2.17"
PyQt5 = "*"
ipython = "*"
networkx = "==2.3"
azure-core = "==1.1.1"
azure-common = "==1.1.24"
azure-nspkg = "==3.0.2"
azure-storage-blob = "==2.1.0"
azure-storage-common = "==2.1.0"
azure-storage-nspkg = "==3.1.0"
boto = "*"
"boto3" = "*"
control = "*"
datadog = "*"
dlib = "*"
elasticsearch = "*"
future = "*"
futures = "*"
pycocotools = {git = "https://github.com/cocodataset/cocoapi.git",subdirectory = "PythonAPI"}
gunicorn = "*"
"h5py" = "*"
hexdump = "*"
"html5lib" = "*"
imageio = "*"
ipykernel = "*"
joblib = "*"
json-logging-py = "*"
jupyter = "*"
libarchive = "*"
lru-dict = "*"
"mpld3" = "*"
msgpack-python = "*"
nbstripout = "*"
numpy = "*"
osmium = "*"
pbr = "*"
percache = "*"
pprofile = "*"
pycurl = "*"
git-pylint-commit-hook = "*"
pymongo = "*"
"pynmea2" = "*"
pypolyline = "*"
python-logstash = "*"
redis = "*"
"s2sphere" = "*"
scikit-image = "*"
"subprocess32" = "*"
tenacity = "*"
tensorflow-gpu = "==2.0"
PyJWT = "==1.4.1"
PyMySQL = "==0.9.2"
Werkzeug = "*"
"backports.lzma" = "*"
Flask-Cors = "*"
Flask-SocketIO = "*"
"GeoAlchemy2" = "*"
Pygments = "*"
PyNaCl = "*"
"PySDL2" = "*"
reverse_geocoder = "*"
Shapely = "*"
SQLAlchemy = "*"
scipy = "*"
fastcluster = "*"
backports-abc = "*"
pygame = "*"
simplejson = "*"
python-logstash-async = "*"
seaborn = "*"
pyproj = "*"
mock = "*"
matplotlib = "*"
dictdiffer = "*"
aenum = "*"
coverage = "*"
azure-cli-core = "*"
paramiko = "*"
aiohttp = "*"
[packages]
overpy = {git = "https://github.com/commaai/python-overpy.git",ref = "f86529af402d4642e1faeb146671c40284007323"}
atomicwrites = "*"
cffi = "*"
crcmod = "*"
hexdump = "*"
libusb1 = "*"
numpy = "*"
psutil = "*"
pycapnp = "*"
cryptography = "*"
pyserial = "*"
python-dateutil = "*"
pyzmq = "*"
raven = "*"
requests = "*"
setproctitle = "*"
six = "*"
smbus2 = "*"
sympy = "*"
tqdm = "*"
Cython = "*"
PyYAML = "*"
websocket_client = "*"
Logentries = {git = "https://github.com/commaai/le_python.git",ref = "feaeacb48f7f4bdb02c0a8fc092326d4e101b7f2"}
urllib3 = "*"
chardet = "*"
idna = "*"
gunicorn = "*"
utm = "*"
json-rpc = "*"
Flask = "*"
PyJWT = "*"
"Jinja2" = "*"
nose = "*"
flake8 = "*"
pylint = "*"
pycryptodome = "*"
pillow = "*"
scons = "*"
cysignals = "*"
[requires]
python_version = "3.7.3"
Generated
-2970
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+182 -260
View File
@@ -1,301 +1,220 @@
[![](https://i.imgur.com/UelUjKAh.png)](#)
Table of Contents
=======================
* [What is openpilot?](#what-is-openpilot)
* [Integration with Stock Features](#integration-with-stock-features)
* [Supported Hardware](#supported-hardware)
* [Supported Cars](#supported-cars)
* [Community Maintained Cars and Features](#community-maintained-cars-and-features)
* [Installation Instructions](#installation-instructions)
* [Limitations of openpilot ALC and LDW](#limitations-of-openpilot-alc-and-ldw)
* [Limitations of openpilot ACC and FCW](#limitations-of-openpilot-acc-and-fcw)
* [Limitations of openpilot DM](#limitations-of-openpilot-dm)
* [User Data and comma Account](#user-data-and-comma-account)
* [Safety and Testing](#safety-and-testing)
* [Testing on PC](#testing-on-pc)
* [Community and Contributing](#community-and-contributing)
* [Directory Structure](#directory-structure)
* [Licensing](#licensing)
---
[![openpilot on the comma 3X](https://i.imgur.com/Zwv9SaN.png)](https://comma.ai/shop/comma-3x)
What is openpilot?
------
[openpilot](http://github.com/commaai/openpilot) is an open source driver assistance system. Currently, openpilot performs the functions of Adaptive Cruise Control (ACC), Automated Lane Centering (ALC), Forward Collision Warning (FCW) and Lane Departure Warning (LDW) for a growing variety of supported [car makes, models and model years](#supported-cars). In addition, while openpilot is engaged, a camera based Driver Monitoring (DM) feature alerts distracted and asleep drivers.
[openpilot](http://github.com/commaai/openpilot) is an open source driver assistance system. Currently, openpilot performs the functions of Adaptive Cruise Control (ACC), Automated Lane Centering (ALC), Forward Collision Warning (FCW), and Lane Departure Warning (LDW) for a growing variety of [supported car makes, models, and model years](docs/CARS.md). In addition, while openpilot is engaged, a camera-based Driver Monitoring (DM) feature alerts distracted and asleep drivers. See more about [the vehicle integration](docs/INTEGRATION.md) and [limitations](docs/LIMITATIONS.md).
<table>
<tr>
<td><a href="https://www.youtube.com/watch?v=mgAbfr42oI8" title="YouTube" rel="noopener"><img src="https://i.imgur.com/kAtT6Ei.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=394rJKeh76k" title="YouTube" rel="noopener"><img src="https://i.imgur.com/lTt8cS2.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=1iNOc3cq8cs" title="YouTube" rel="noopener"><img src="https://i.imgur.com/ANnuSpe.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=Vr6NgrB-zHw" title="YouTube" rel="noopener"><img src="https://i.imgur.com/Qypanuq.png"></a></td>
</tr>
<tr>
<td><a href="https://www.youtube.com/watch?v=Ug41KIKF0oo" title="YouTube" rel="noopener"><img src="https://i.imgur.com/3caZ7xM.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=NVR_CdG1FRg" title="YouTube" rel="noopener"><img src="https://i.imgur.com/bAZOwql.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=tkEvIdzdfUE" title="YouTube" rel="noopener"><img src="https://i.imgur.com/EFINEzG.png"></a></td>
<td><a href="https://www.youtube.com/watch?v=_P-N1ewNne4" title="YouTube" rel="noopener"><img src="https://i.imgur.com/gAyAq22.png"></a></td>
<td><a href="https://youtu.be/NmBfgOanCyk" title="Video By Greer Viau"><img src="https://github.com/commaai/openpilot/assets/8762862/2f7112ae-f748-4f39-b617-fabd689c3772"></a></td>
<td><a href="https://youtu.be/VHKyqZ7t8Gw" title="Video By Logan LeGrand"><img src="https://github.com/commaai/openpilot/assets/8762862/92351544-2833-40d7-9e0b-7ef7ae37ec4c"></a></td>
<td><a href="https://youtu.be/SUIZYzxtMQs" title="A drive to Taco Bell"><img src="https://github.com/commaai/openpilot/assets/8762862/05ceefc5-2628-439c-a9b2-89ce77dc6f63"></a></td>
</tr>
</table>
Integration with Stock Features
What is FrogPilot? 🐸
------
In all supported cars:
* Stock Lane Keep Assist (LKA) and stock ALC are replaced by openpilot ALC, which only functions when openpilot is engaged by the user.
* Stock LDW is replaced by openpilot LDW.
FrogPilot is a fully open-sourced fork of openpilot, featuring clear and concise commits striving to be a resource for the openpilot developer community. It thrives on contributions from both users and developers, focusing on a collaborative, community-led approach to deliver an advanced openpilot experience for everyone!
Additionally, on specific supported cars (see ACC column in [supported cars](#supported-cars)):
* Stock ACC is replaced by openpilot ACC.
* openpilot FCW operates in addition to stock FCW.
------
FrogPilot was last updated on:
openpilot should preserve all other vehicle's stock features, including, but are not limited to: FCW, Automatic Emergency Braking (AEB), auto high-beam, blind spot warning, and side collision warning.
**April 12th, 2025**
Supported Hardware
Features
------
At the moment, openpilot supports the [EON DevKit](https://comma.ai/shop/products/eon-dashcam-devkit) and the [comma two](https://comma.ai/shop/products/comma-two-devkit). A [car harness](https://comma.ai/shop/products/car-harness) is recommended to connect the EON or comma two to the car. In the future, we'd like to support other platforms as well, like gaming PCs.
FrogPilot offers a wide range of customizable features that are easily toggled on or off to suit your preferences. Whether you want a completely stock openpilot experience, or want to add some fun and personal touches, FrogPilot has you covered! Some of the features include:
Supported Cars
------
**Advanced Customizations:**
- "Alert Volume Controller" to set the volume level for each of of openpilot's sounds
- Customize the following distance and jerk values for each personality profile
- Fine tune your car's "Steer Ratio" to perfect your lateral control
- Increase the distance when stopped behind lead vehicles
- Increase the max set speed by a custom interval (i.e. 2, 3, 4, 5, 6, etc. instead of just 1)
- Select between past, present, and future openpilot driving models
------
🎨 **Custom Themes:**
- 🐸 Frog theme (with a bonus 🐐 sound effect)
- <img src="https://images.emojiterra.com/google/noto-emoji/unicode-15/color/512px/1f1f7-1f1fa.png" width="15" height="12"> Russia / Joseph Stalin theme
- 🔌 Tesla theme
- Holiday themes! Minor holidays last a day, while major holidays (Easter, Halloween, Thanksgiving, Christmas) last a week
- Random events triggered by specific actions while driving with openpilot
- 📢 Want to add a theme? Request one in the "feature-request" channel in the FrogPilot Discord!
------
🚀 **Conditional Experimental Mode:**
- Auto-activates "Experimental Mode" under several conditions, including:
- Approaching intersections and turns while using navigation
- Approaching slower vehicles to take advantage of "Experimental Mode"'s smoother braking
- Curve and stop light/stop sign detection
- Driving below a set speed
- Turn signal activation below 55mph for turn assistance
------
📊 **Developer UI:**
- Display various driving logics such as the distance, speed, and the desired following distance to your lead vehicle
- Lane measuring of the adjacent lanes for lane detection
- Tap the "VEHICLE ONLINE"/"CPU"/"GPU" gauge to toggle between CPU and GPU monitoring
- Tap the "CONNECT ONLINE"/"MEMORY"/"LEFT"/"USED" gauge to toggle between RAM and storage monitoring
------
🛠 **Device Management:**
- Adjustable screen brightness for both onroad and offroad states
- Adjustable screen timeout times for both onroad and offroad states
- Backup and restore previous versions of FrogPilot
- Backup and restore previous versions of toggle configurations
- Battery level threshold to automatically shut the device down after you car's battery falls below a set voltage limit when offroad
- Delete stored driving data for increased privacy/space via the "Device" panel
- Device can operate offline indefinitely
- Disable logging and/or uploading
- Disable uploads while onroad to help reduce data usage
- Flash the Panda within the "Device" menu
- "Standby Mode" that wakes the screen up between engagement states or when important alerts are triggered
- Timer to automatically shut down after going offroad
------
🚖 **Lateral Adjustments:**
- Activate lateral control by simply pressing the "Cruise Control" button
- Force comma's auto tuning for unsupported vehicles
- Lateral control won't disengage on gas or brake
- Nudgeless lane changes with lane detection to prevent driving into curbs or going offroad
- Pause lateral control when below a set speed
- Pause lateral control when pressing the brake
- Pause lateral control when turn signals are active
- Precise turns by using turn desires when below the minimum lane change speed
- [Twilsonco's NNFF](https://github.com/twilsonco/openpilot) for smoother steering control
------
🚘 **Longitudinal Adjustments:**
- Aggressive acceleration when following a lead vehicle from a stop
- "Map Turn Speed Controller" to slow down for curves based on stored map data
- With an additional toggle to fine tune the speed aggressiveness
- Smoother braking behind slower leads
- "Speed Limit Controller" to adjust your speed to the posted speed limit
- With additional toggles to set offsets for "0-34 mph", "35-54 mph", "55-64 mph", and "65-99 mph"
- "Sport" and "Eco" acceleration and deceleration profiles
- "Traffic Mode" tailored towards driving in traffic
- Tweak the lead detection threshold to detect leads sooner for smoother braking on stopped/slower vehicles
- "Vision Turn Speed Controller" for smoother handling of curves
- With additional toggles to fine tune the speed aggressiveness and curve detection sensitivity
------
🗺️ **Navigation:**
- 3D buildings
- Custom map styles
- Full screen map that takes up the entire screen for a more expansive map view
- iOS shortcuts to quickly set navigation destinations
- Navigate on openpilot without a comma prime subscription
- Offline maps
- "Open Street Maps" integration for speed limit control and road name view
------
🎮 **Onroad UI:**
- Compass that rotates according to the direction you're driving
- FPS counter in the screen's border
- Hide various UI elements on the screen for a cleaner UI
- Pedals on the onroad UI indicate when the gas/brake pedals are being used
- Road UI Customizations:
- Acceleration path to show the model's desired acceleration/deceleration
- Blind spot path when a vehicle is detected in your blind spot
- Increase/decrease the lane line, path, and road edge widths
- Path edge colors based on specific driving statuses:
- 🔵 Blue - Navigation active
- 🟦 Light Blue - "Always On Lateral" active
- 🟢 Green - Default
- 🟠 Orange - "Experimental Mode" active
- 🔴 Red - "Traffic Mode" active
- 🟡 Yellow - "Conditional Experimental Mode" overridden
- "Unlimited" road UI that extends out as far as the model can see
- Sidebar retains it's previous position between reboots/ignition cycles
- Steering wheel icons
- 📢 Request your own steering wheel icon in the "feature-request" channel!
- Steering wheel in the onroad UI rotates alongside your physical steering wheel
------
🚙 **Vehicle Specific Additions:**
- Automatic/manual fingerprint selection to force a selected fingerprint
- Custom longitudinal tunings for GM EVs and trucks for smoother gas and brake control
- Custom longitudinal tunings for Toyota/Lexus for smoother gas and brake control
- Disable openpilot longitudinal control to use your car's stock cruise control
- GM Volt support
- Honda Clarity support
- Increased torque for the Subaru Crosstrek
- Lock doors automatically when in the drive gear for Toyota/Lexus and unlock when in park
- openpilot longitudinal control for GM vehicles without ACC
- Pedal interceptor support for GM vehicles
- "Stop and Go" hack for Toyota's without stop and go functionality
- ZSS support for the Toyota Prius and Sienna
------
🚦 **Quality of Life Features:**
- Automatic updates for a completely "set and forget" experience
- Camera view selection
- Custom alerts for green lights, vehicles in blindspot, lead departing, and the current speed limit changing
- Display the driver camera when in reverse
- Driving statistics to show how many hours and miles you've driven on the home screen
- Fleet Manager to easily access your driving data and screen recordings
- Numerical temperature gauge
- Retain tethering status between reboots
- Screenrecorder
- Toggle "Experimental Mode" via the "Lane Departure Alert" button, holding down the "Distance" button for 0.5+ seconds, or by double tapping the screen
How to Install
------
| Make | Model (US Market Reference) | Supported Package | ACC | No ACC accel below | No ALC below |
| ----------| ------------------------------| ------------------| -----------------| -------------------| -------------|
| Acura | ILX 2016-18 | AcuraWatch Plus | openpilot | 25mph<sup>5</sup> | 25mph |
| Acura | RDX 2016-18 | AcuraWatch Plus | openpilot | 25mph<sup>5</sup> | 12mph |
| Chrysler | Pacifica 2017-18 | Adaptive Cruise | Stock | 0mph | 9mph |
| Chrysler | Pacifica Hybrid 2017-18 | Adaptive Cruise | Stock | 0mph | 9mph |
| Chrysler | Pacifica Hybrid 2019-20 | Adaptive Cruise | Stock | 0mph | 39mph |
| Honda | Accord 2018-19 | All | Stock | 0mph | 3mph |
| Honda | Accord Hybrid 2018-19 | All | Stock | 0mph | 3mph |
| Honda | Civic Hatchback 2017-19 | Honda Sensing | Stock | 0mph | 12mph |
| Honda | Civic Sedan/Coupe 2016-18 | Honda Sensing | openpilot | 0mph | 12mph |
| Honda | Civic Sedan/Coupe 2019 | Honda Sensing | Stock | 0mph | 2mph |
| Honda | CR-V 2015-16 | Touring | openpilot | 25mph<sup>5</sup> | 12mph |
| Honda | CR-V 2017-19 | Honda Sensing | Stock | 0mph | 12mph |
| Honda | CR-V Hybrid 2017-2019 | Honda Sensing | Stock | 0mph | 12mph |
| Honda | Fit 2018-19 | Honda Sensing | openpilot | 25mph<sup>5</sup> | 12mph |
| Honda | Odyssey 2018-20 | Honda Sensing | openpilot | 25mph<sup>5</sup> | 0mph |
| Honda | Passport 2019 | All | openpilot | 25mph<sup>5</sup> | 12mph |
| Honda | Pilot 2016-18 | Honda Sensing | openpilot | 25mph<sup>5</sup> | 12mph |
| Honda | Pilot 2019 | All | openpilot | 25mph<sup>5</sup> | 12mph |
| Honda | Ridgeline 2017-19 | Honda Sensing | openpilot | 25mph<sup>5</sup> | 12mph |
| Hyundai | Elantra 2017-19<sup>1</sup> | SCC + LKAS | Stock | 19mph | 34mph |
| Hyundai | Genesis 2018<sup>1</sup> | All | Stock | 19mph | 34mph |
| Hyundai | Santa Fe 2019<sup>1</sup> | All | Stock | 0mph | 0mph |
| Jeep | Grand Cherokee 2016-18 | Adaptive Cruise | Stock | 0mph | 9mph |
| Jeep | Grand Cherokee 2019 | Adaptive Cruise | Stock | 0mph | 39mph |
| Kia | Optima 2019<sup>1</sup> | SCC + LKAS | Stock | 0mph | 0mph |
| Kia | Sorento 2018<sup>1</sup> | All | Stock | 0mph | 0mph |
| Kia | Stinger 2018<sup>1</sup> | SCC + LKAS | Stock | 0mph | 0mph |
| Lexus | CT Hybrid 2017-18 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Lexus | ES 2019 | All | openpilot | 0mph | 0mph |
| Lexus | ES Hybrid 2019 | All | openpilot | 0mph | 0mph |
| Lexus | IS 2017-2019 | All | Stock | 22mph | 0mph |
| Lexus | IS Hybrid 2017 | All | Stock | 0mph | 0mph |
| Lexus | RX 2016-17 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Lexus | RX 2020 | All | openpilot | 0mph | 0mph |
| Lexus | RX Hybrid 2016-19 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Subaru | Crosstrek 2018-19 | EyeSight | Stock | 0mph | 0mph |
| Subaru | Impreza 2019-20 | EyeSight | Stock | 0mph | 0mph |
| Toyota | Avalon 2016 | TSS-P | Stock<sup>4</sup>| 20mph<sup>5</sup> | 0mph |
| Toyota | Avalon 2017-18 | All | Stock<sup>4</sup>| 20mph<sup>5</sup> | 0mph |
| Toyota | Camry 2018-19 | All | Stock | 0mph<sup>2</sup> | 0mph |
| Toyota | Camry Hybrid 2018-19 | All | Stock | 0mph<sup>2</sup> | 0mph |
| Toyota | C-HR 2017-19 | All | Stock | 0mph | 0mph |
| Toyota | C-HR Hybrid 2017-19 | All | Stock | 0mph | 0mph |
| Toyota | Corolla 2017-19 | All | Stock<sup>4</sup>| 20mph<sup>5</sup> | 0mph |
| Toyota | Corolla 2020 | All | openpilot | 0mph | 0mph |
| Toyota | Corolla Hatchback 2019-20 | All | openpilot | 0mph | 0mph |
| Toyota | Corolla Hybrid 2020 | All | openpilot | 0mph | 0mph |
| Toyota | Highlander 2017-19 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Highlander Hybrid 2017-19 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Prius 2016 | TSS-P | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Prius 2017-19 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Prius Prime 2017-20 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Rav4 2016 | TSS-P | Stock<sup>4</sup>| 20mph<sup>5</sup> | 0mph |
| Toyota | Rav4 2017-18 | All | Stock<sup>4</sup>| 20mph<sup>5</sup> | 0mph |
| Toyota | Rav4 2019 | All | openpilot | 0mph | 0mph |
| Toyota | Rav4 Hybrid 2016 | TSS-P | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Rav4 Hybrid 2017-18 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Toyota | Rav4 Hybrid 2019-20 | All | openpilot | 0mph | 0mph |
| Toyota | Sienna 2018 | All | Stock<sup>4</sup>| 0mph | 0mph |
| Volkswagen| Golf 2016-19<sup>3</sup> | Driver Assistance | Stock | 0mph | 0mph |
Easiest way to install FrogPilot is via this URL at the installation screen:
<sup>1</sup>Requires a [panda](https://comma.ai/shop/products/panda-obd-ii-dongle) and open sourced [Hyundai giraffe](https://github.com/commaai/neo/tree/master/giraffe/hyundai), designed for the 2019 Sante Fe; pinout may differ for other Hyundai and Kia models. <br />
<sup>2</sup>28mph for Camry 4CYL L, 4CYL LE and 4CYL SE which don't have Full-Speed Range Dynamic Radar Cruise Control. <br />
<sup>3</sup>Requires a [custom connector](https://community.comma.ai/wiki/index.php/Volkswagen#Integration_at_R242_Camera) for the [car harness](https://comma.ai/shop/products/car-harness) <br />
```
frogpilot.download
```
Community Maintained Cars and Features
DO NOT install the "FrogPilot-Development" branch. I'm constantly breaking things on there, so unless you don't want to use openpilot, NEVER install it!
![](https://i.imgur.com/swr0kqJ.png)
Bug reports / Feature Requests
------
| Make | Model (US Market Reference) | Supported Package | ACC | No ACC accel below | No ALC below |
| ----------| ------------------------------| ------------------| -----------------| -------------------| -------------|
| Buick | Regal 2018<sup>6</sup> | Adaptive Cruise | openpilot | 0mph | 7mph |
| Cadillac | ATS 2018<sup>6</sup> | Adaptive Cruise | openpilot | 0mph | 7mph |
| Chevrolet | Malibu 2017<sup>6</sup> | Adaptive Cruise | openpilot | 0mph | 7mph |
| Chevrolet | Volt 2017-18<sup>6</sup> | Adaptive Cruise | openpilot | 0mph | 7mph |
| GMC | Acadia Denali 2018<sup>6</sup>| Adaptive Cruise | openpilot | 0mph | 7mph |
| Holden | Astra 2017<sup>6</sup> | Adaptive Cruise | openpilot | 0mph | 7mph |
If you encounter any issues or bugs while using FrogPilot, or if you have any suggestions for new features or improvements, please don't hesitate to post about it on the Discord! I'm always looking for ways to improve the fork and provide a better experience for everyone!
<sup>4</sup>When disconnecting the Driver Support Unit (DSU), openpilot ACC will replace stock ACC. For DSU locations, see [Toyota Wiki page](https://community.comma.ai/wiki/index.php/Toyota). ***NOTE: disconnecting the DSU disables Automatic Emergency Braking (AEB).*** <br />
<sup>5</sup>[Comma Pedal](https://community.comma.ai/wiki/index.php/Comma_Pedal) is used to provide stop-and-go capability to some of the openpilot-supported cars that don't currently support stop-and-go. Here is how to [build a Comma Pedal](https://medium.com/@jfrux/comma-pedal-building-with-macrofab-6328bea791e8). ***NOTE: The Comma Pedal is not officially supported by [comma](https://comma.ai).*** <br />
<sup>6</sup>Requires a [panda](https://comma.ai/shop/products/panda-obd-ii-dongle) and [community built giraffe](https://zoneos.com/volt/). ***NOTE: disconnecting the ASCM disables Automatic Emergency Braking (AEB).*** <br />
To report a bug or request a new feature, make a post in the #bug-reports or #feature-requests channel respectively on the FrogPilot Discord. Please provide as much detail as possible about the issue you're experiencing or the feature you'd like to see added. Photos, videos, log files, or other relevant information are very helpful!
Community Maintained Cars and Features are not verified by comma to meet our [safety model](SAFETY.md). Be extra cautious using them. They are only available after enabling the toggle in `Settings->Developer->Enable Community Features`.
I will do my best to respond to bug reports and feature requests in a timely manner, but please understand that I may not be able to address every request immediately. Your feedback and suggestions are valuable, and I appreciate your help in making FrogPilot the best it can be!
Installation Instructions
Discord
------
Install openpilot on a EON by entering ``https://openpilot.comma.ai`` during the installer setup.
[Join the FrogPilot Community Discord!](https://discord.gg/frogpilot)
Follow this [video instructions](https://youtu.be/3nlkomHathI) to properly mount the EON on the windshield. Note: openpilot features an automatic pose calibration routine and openpilot performance should not be affected by small pitch and yaw misalignments caused by imprecise EON mounting.
Before placing the device on your windshield, check the state and local laws and ordinances where you drive. Some state laws prohibit or restrict the placement of objects on the windshield of a motor vehicle.
You will be able to engage openpilot after reviewing the onboarding screens and finishing the calibration procedure.
Limitations of openpilot ALC and LDW
Credits
------
openpilot ALC and openpilot LDW do not automatically drive the vehicle or reduce the amount of attention that must be paid to operate your vehicle. The driver must always keep control of the steering wheel and be ready to correct the openpilot ALC action at all times.
While changing lanes, openpilot is not capable of looking next to you or checking your blind spot. Only nudge the wheel to initiate a lane change after you have confirmed it's safe to do so.
Many factors can impact the performance of openpilot ALC and openpilot LDW, causing them to be unable to function as intended. These include, but are not limited to:
* Poor visibility (heavy rain, snow, fog, etc.) or weather conditions that may interfere with sensor operation.
* The road facing camera is obstructed, covered or damaged by mud, ice, snow, etc.
* Obstruction caused by applying excessive paint or adhesive products (such as wraps, stickers, rubber coating, etc.) onto the vehicle.
* The EON is mounted incorrectly.
* When in sharp curves, like on-off ramps, intersections etc...; openpilot is designed to be limited in the amount of steering torque it can produce.
* In the presence of restricted lanes or construction zones.
* When driving on highly banked roads or in presence of strong cross-wind.
* Extremely hot or cold temperatures.
* Bright light (due to oncoming headlights, direct sunlight, etc.).
* Driving on hills, narrow, or winding roads.
The list above does not represent an exhaustive list of situations that may interfere with proper operation of openpilot components. It is the driver's responsibility to be in control of the vehicle at all times.
Limitations of openpilot ACC and FCW
------
openpilot ACC and openpilot FCW are not systems that allow careless or inattentive driving. It is still necessary for the driver to pay close attention to the vehicles surroundings and to be ready to re-take control of the gas and the brake at all times.
Many factors can impact the performance of openpilot ACC and openpilot FCW, causing them to be unable to function as intended. These include, but are not limited to:
* Poor visibility (heavy rain, snow, fog, etc.) or weather conditions that may interfere with sensor operation.
* The road facing camera or radar are obstructed, covered, or damaged by mud, ice, snow, etc.
* Obstruction caused by applying excessive paint or adhesive products (such as wraps, stickers, rubber coating, etc.) onto the vehicle.
* The EON is mounted incorrectly.
* Approaching a toll booth, a bridge or a large metal plate.
* When driving on roads with pedestrians, cyclists, etc...
* In presence of traffic signs or stop lights, which are not detected by openpilot at this time.
* When the posted speed limit is below the user selected set speed. openpilot does not detect speed limits at this time.
* In presence of vehicles in the same lane that are not moving.
* When abrupt braking maneuvers are required. openpilot is designed to be limited in the amount of deceleration and acceleration that it can produce.
* When surrounding vehicles perform close cut-ins from neighbor lanes.
* Driving on hills, narrow, or winding roads.
* Extremely hot or cold temperatures.
* Bright light (due to oncoming headlights, direct sunlight, etc.).
* Interference from other equipment that generates radar waves.
The list above does not represent an exhaustive list of situations that may interfere with proper operation of openpilot components. It is the driver's responsibility to be in control of the vehicle at all times.
Limitations of openpilot DM
------
openpilot DM should not be considered an exact measurements of the status of alertness of the driver.
Many factors can impact the performance of openpilot DM, causing it to be unable to function as intended. These include, but are not limited to:
* Low light conditions, such as driving at night or in dark tunnels.
* Bright light (due to oncoming headlights, direct sunlight, etc.).
* The driver face is partially or completely outside field of view of the driver facing camera.
* Right hand driving vehicles.
* The driver facing camera is obstructed, covered, or damaged.
The list above does not represent an exhaustive list of situations that may interfere with proper operation of openpilot components. A driver should not rely on openpilot DM to assess their level of attention.
User Data and comma Account
------
By default, openpilot uploads the driving data to our servers. You can also access your data by pairing with the comma connect app ([iOS](https://apps.apple.com/us/app/comma-connect/id1456551889), [Android](https://play.google.com/store/apps/details?id=ai.comma.connect&hl=en_US)). We use your data to train better models and improve openpilot for everyone.
openpilot is open source software: the user is free to disable data collection if they wish to do so.
openpilot logs the road facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
The driver facing camera is only logged if you explicitly opt-in in settings. The microphone is not recorded.
By using openpilot, you agree to [our Privacy Policy](https://my.comma.ai/privacy). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma for the use of this data.
Safety and Testing
----
* openpilot observes ISO26262 guidelines, see [SAFETY.md](SAFETY.md) for more detail.
* openpilot has software in the loop [tests](run_docker_tests.sh) that run on every commit.
* The safety model code lives in panda and is written in C, see [code rigor](https://github.com/commaai/panda#code-rigor) for more details.
* panda has software in the loop [safety tests](https://github.com/commaai/panda/tree/master/tests/safety).
* Internally, we have a hardware in the loop Jenkins test suite that builds and unit tests the various processes.
* panda has additional hardware in the loop [tests](https://github.com/commaai/panda/blob/master/Jenkinsfile).
* We run the latest openpilot in a testing closet containing 10 EONs continuously replaying routes.
Testing on PC
------
Check out the tools directory in master: lots of tools you can use to replay driving data, test and develop openpilot from your pc.
Community and Contributing
------
openpilot is developed by [comma](https://comma.ai/) and by users like you. We welcome both pull requests and issues on [GitHub](http://github.com/commaai/openpilot). Bug fixes and new car ports are encouraged.
You can add support for your car by following guides we have written for [Brand](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84) and [Model](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) ports. Generally, a car with adaptive cruise control and lane keep assist is a good candidate. [Join our Discord](https://discord.comma.ai) to discuss car ports: most car makes have a dedicated channel.
Want to get paid to work on openpilot? [comma is hiring](https://comma.ai/jobs/). We also have a [bounty program](https://comma.ai/bounties.html).
And [follow us on Twitter](https://twitter.com/comma_ai).
Directory Structure
------
.
├── apk # The apk files used for the UI
├── cereal # The messaging spec and libs used for all logs on EON
├── common # Library like functionality we've developed here
├── installer/updater # Manages auto-updates of openpilot
├── opendbc # Files showing how to interpret data from cars
├── panda # Code used to communicate on CAN
├── phonelibs # Libraries used on EON
├── pyextra # Libraries used on EON
└── selfdrive # Code needed to drive the car
├── assets # Fonts and images for UI
├── athena # Allows communication with the app
├── boardd # Daemon to talk to the board
├── camerad # Driver to capture images from the camera sensors
├── car # Car specific code to read states and control actuators
├── common # Shared C/C++ code for the daemons
├── controls # Perception, planning and controls
├── debug # Tools to help you debug and do car ports
├── locationd # Soon to be home of precise location
├── logcatd # Android logcat as a service
├── loggerd # Logger and uploader of car data
├── modeld # Driving and monitoring model runners
├── proclogd # Logs information from proc
├── sensord # IMU / GPS interface code
├── tests # Unit tests, system tests and a car simulator
└── ui # The UI
To understand how the services interact, see `cereal/service_list.yaml`.
* [AlexandreSato](https://github.com/AlexandreSato)
* [Crwusiz](https://github.com/crwusiz)
* [DragonPilot](https://github.com/dragonpilot-community)
* [ErichMoraga](https://github.com/ErichMoraga)
* [Garrettpall](https://github.com/garrettpall)
* [Mike8643](https://github.com/mike8643)
* [Neokii](https://github.com/Neokii)
* [OPGM](https://github.com/opgm)
* [OPKR](https://github.com/openpilotkr)
* [Pfeiferj](https://github.com/pfeiferj)
* [ServerDummy](https://github.com/ServerDummy)
* [Twilsonco](https://github.com/twilsonco)
Licensing
------
openpilot is released under the MIT license. Some parts of the software are released under other licenses as specified.
Any user of this software shall indemnify and hold harmless comma.ai, Inc. and its directors, officers, employees, agents, stockholders, affiliates, subcontractors and customers from and against all allegations, claims, actions, suits, demands, damages, liabilities, obligations, losses, settlements, judgments, costs and expenses (including without limitation attorneys fees and costs) which arise out of, relate to or result from any use of this software by user.
Any user of this software shall indemnify and hold harmless Comma.ai, Inc. and its directors, officers, employees, agents, stockholders, affiliates, subcontractors and customers from and against all allegations, claims, actions, suits, demands, damages, liabilities, obligations, losses, settlements, judgments, costs and expenses (including without limitation attorneys fees and costs) which arise out of, relate to or result from any use of this software by user.
**THIS IS ALPHA QUALITY SOFTWARE FOR RESEARCH PURPOSES ONLY. THIS IS NOT A PRODUCT.
YOU ARE RESPONSIBLE FOR COMPLYING WITH LOCAL LAWS AND REGULATIONS.
@@ -304,3 +223,6 @@ NO WARRANTY EXPRESSED OR IMPLIED.**
---
<img src="https://d1qb2nb5cznatu.cloudfront.net/startups/i/1061157-bc7e9bf3b246ece7322e6ffe653f6af8-medium_jpg.jpg?buster=1458363130" width="75"></img> <img src="https://cdn-images-1.medium.com/max/1600/1*C87EjxGeMPrkTuVRVWVg4w.png" width="225"></img>
![openpilot tests](https://github.com/commaai/openpilot/actions/workflows/selfdrive_tests.yaml/badge.svg)
[![codecov](https://codecov.io/gh/commaai/openpilot/branch/master/graph/badge.svg)](https://codecov.io/gh/commaai/openpilot)
+574 -53
View File
@@ -1,3 +1,524 @@
Version 0.9.7 (2024-06-13)
========================
* New driving model
* Inputs the past curvature for smoother and more accurate lateral control
* Simplified neural network architecture in the model's last layers
* Minor fixes to desire augmentation and weight decay
* New driver monitoring model
* Improved end-to-end bit for phone detection
* Adjust driving personality with the follow distance button
* Support for hybrid variants of supported Ford models
* Fingerprinting without the OBD-II port on all cars
* Improved fuzzy fingerprinting for Ford and Volkswagen
Version 0.9.6 (2024-02-27)
========================
* New driving model
* Vision model trained on more data
* Improved driving performance
* Directly outputs curvature for lateral control
* New driver monitoring model
* Trained on larger dataset
* Model path UI
* Shows where driving model wants to be
* Shows what model is seeing more clearly, but more jittery
* AGNOS 9
* comma body streaming and controls over WebRTC
* Improved fuzzy fingerprinting for many makes and models
* Alpha longitudinal support for new Toyota models
* Chevrolet Equinox 2019-22 support thanks to JasonJShuler and nworb-cire!
* Dodge Durango 2020-21 support
* Hyundai Staria 2023 support thanks to sunnyhaibin!
* Kia Niro Plug-in Hybrid 2022 support thanks to sunnyhaibin!
* Lexus LC 2024 support thanks to nelsonjchen!
* Toyota RAV4 2023-24 support
* Toyota RAV4 Hybrid 2023-24 support
Version 0.9.5 (2023-11-17)
========================
* New driving model
* Improved navigate on openpilot performance using navigation instructions as an additional model input
* Do lateral planning inside the model
* New vision transformer architecture
* Cadillac Escalade ESV 2019 support thanks to twilsonco!
* Hyundai Azera 2022 support thanks to sunnyhaibin!
* Hyundai Azera Hybrid 2020 support thanks to chanhojung and haram-KONA!
* Hyundai Custin 2023 support thanks to sunnyhaibin and Saber422!
* Hyundai Ioniq 6 2023 support thanks to sunnyhaibin and alamo3!
* Hyundai Kona Electric 2023 (Korean version) support thanks to sunnyhaibin and haram-KONA!
* Kia K8 Hybrid (with HDA II) 2023 support thanks to sunnyhaibin!
* Kia Optima Hybrid 2019 support
* Kia Sorento Hybrid 2023 support thanks to sunnyhaibin!
* Lexus GS F 2016 support thanks to snyperifle!
* Lexus IS 2023 support thanks to L3R5!
Version 0.9.4 (2023-07-27)
========================
* comma 3X support
* Navigate on openpilot in Experimental mode
* When navigation has a destination, openpilot will input the map information into the model, which provides useful context to help the model understand the scene
* When navigating on openpilot, openpilot will keep left or right appropriately at forks and exits
* When navigating on openpilot, lane change behavior is unchanged and still activated by the driver
* When navigate on openpilot is active, the path on the map is green
* UI updates
* Navigation settings moved to home screen and map
* Border color always shows engagement status. Blue means disengaged, green means engaged, and grey means engaged with human overriding
* Alerts are shown inside the border. Black means info, orange means warning, and red means critical alert
* Bookmarked segments are preserved on the device's storage
* Ford Focus 2018 support
* Kia Carnival 2023 support thanks to sunnyhaibin!
Version 0.9.3 (2023-06-29)
========================
* New driving model
* Improved height estimation and added height tracking in liveCalibration
* Model inputs refactor
* New driving personality setting
* Three settings: aggressive, standard, and relaxed
* Standard is recommended and the default
* In aggressive mode, lead follow distance is shorter and acceleration response is quicker
* In relaxed mode, lead follow distance is longer
* Improved fuzzy fingerprinting for Hyundai, Kia, and Genesis
* Improved thermal management logic
Version 0.9.2 (2023-05-22)
========================
* New driving model
* Reduced turn diving
* Trained on a new dataset
* UI updates
* New experimental mode visualization
* Draw MPC path instead of model-predicted path
* AGNOS 7
* Faster boot time
* Fixes rare no sounds bug
* Fixes bootsplash bug at extreme temperatures
* Buick LaCrosse 2017-19 support thanks to koch-cf!
* Chevrolet Trailblazer 2021-22 support thanks to TurboCE!
* Ford Bronco Sport 2021-22 support
* Ford Escape 2020-22 support
* Ford Explorer 2020-22 support
* Ford Kuga 2020-22 support
* Ford Maverick 2022-23 support
* Genesis GV80 2023 support thanks to JWingate80!
* Honda HR-V 2023 support thanks to AlexandreSato and galegozi!
* Kia Niro EV 2023 support thanks to JosselinLecocq!
* Lexus ES 2017-18 support
* Lincoln Aviator 2021 support
* Škoda Fabia 2022-23 support thanks to jyoung8607!
Version 0.9.1 (2023-02-28)
========================
* New driving model
* 30% improved height estimation resulting in better driving performance for tall cars
* Driver monitoring: removed timer resetting on user interaction if distracted
* UI updates
* Adjust alert volume using ambient noise level
* Driver monitoring icon shows driver's head pose
* German translation thanks to Vrabetz and CzokNorris!
* Cadillac Escalade 2017 support thanks to rickygilleland!
* Chevrolet Bolt EV 2022-23 support thanks to JasonJShuler!
* Genesis GV60 2023 support thanks to sunnyhaibin!
* Hyundai Tucson 2022-23 support
* Kia K5 Hybrid 2020 support thanks to sunnyhaibin!
* Kia Niro Hybrid 2023 support thanks to sunnyhaibin!
* Kia Sorento 2022-23 support thanks to sunnyhaibin!
* Kia Sorento Plug-in Hybrid 2022 support thanks to sunnyhaibin!
* Toyota C-HR 2021 support thanks to eFiniLan!
* Toyota C-HR Hybrid 2022 support thanks to Korben00!
* Volkswagen Crafter and MAN TGE 2017-23 support thanks to jyoung8607!
Version 0.9.0 (2022-11-21)
========================
* New driving model
* Internal feature space information content increased tenfold during training to ~700 bits, which makes the model dramatically more accurate
* Less reliance on previous frames makes model more reactive and snappy
* Trained in new reprojective simulator
* Trained in 36 hours from scratch, compared to one week for previous releases
* Training now simulates both lateral and longitudinal behavior, which allows openpilot to slow down for turns, stop at traffic lights, and more in experimental mode
* Experimental driving mode
* End-to-end longitudinal control
* Stops for traffic lights and stop signs
* Slows down for turns
* openpilot defaults to chill mode, enable experimental mode in settings
* Driver monitoring updates
* New bigger model with added end-to-end distracted trigger
* Reduced false positives during driver calibration
* Self-tuning torque controller: learns parameters live for each car
* Torque controller used on all Toyota, Lexus, Hyundai, Kia, and Genesis models
* UI updates
* Matched speeds shown on car's dash
* Multi-language in navigation
* Improved update experience
* Border turns grey while overriding steering
* Bookmark events while driving; view them in comma connect
* New onroad visualization for experimental mode
* tools: new and improved cabana thanks to deanlee!
* Experimental longitudinal support for Volkswagen, CAN-FD Hyundai, and new GM models
* Genesis GV70 2022-23 support thanks to zunichky and sunnyhaibin!
* Hyundai Santa Cruz 2021-22 support thanks to sunnyhaibin!
* Kia Sportage 2023 support thanks to sunnyhaibin!
* Kia Sportage Hybrid 2023 support thanks to sunnyhaibin!
* Kia Stinger 2022 support thanks to sunnyhaibin!
Version 0.8.16 (2022-08-26)
========================
* New driving model
* Reduced turn cutting
* Auto-detect right hand drive setting with driver monitoring model
* Improved fan controller for comma three
* New translations
* Japanese thanks to cydia2020!
* Brazilian Portuguese thanks to AlexandreSato!
* Chevrolet Bolt EUV 2022-23 support thanks to JasonJShuler!
* Chevrolet Silverado 1500 2020-21 support thanks to JasonJShuler!
* GMC Sierra 1500 2020-21 support thanks to JasonJShuler!
* Hyundai Ioniq 5 2022 support thanks to sunnyhaibin!
* Hyundai Kona Electric 2022 support thanks to sunnyhaibin!
* Hyundai Tucson Hybrid 2022 support thanks to sunnyhaibin!
* Subaru Legacy 2020-22 support thanks to martinl!
* Subaru Outback 2020-22 support
Version 0.8.15 (2022-07-20)
========================
* New driving model
* Path planning uses end-to-end output instead of lane lines at all times
* Reduced ping pong
* Improved lane centering
* New lateral controller based on physical wheel torque model
* Much smoother control that's consistent across the speed range
* Effective feedforward that uses road roll
* Simplified tuning, all car-specific parameters can be derived from data
* Used on select Toyota and Hyundai models at first
* Significantly improved control on TSS-P Prius
* New driver monitoring model
* Bigger model, covering full interior view from driver camera
* Works with a wider variety of mounting angles
* 3x more unique comma three training data than previous
* Navigation improvements
* Speed limits shown while navigating
* Faster position fix by using raw GPS measurements
* UI updates
* Multilanguage support for settings and home screen
* New font
* Refreshed max speed design
* More consistent camera view perspective across cars
* Reduced power usage: device runs cooler and fan spins less
* AGNOS 5
* Support VSCode remote SSH target
* Support for delta updates to reduce data usage on future OS updates
* Chrysler ECU firmware fingerprinting thanks to realfast!
* Honda Civic 2022 support
* Hyundai Tucson 2021 support thanks to bluesforte!
* Kia EV6 2022 support
* Lexus NX Hybrid 2020 support thanks to AlexandreSato!
* Ram 1500 2019-21 support thanks to realfast!
Version 0.8.14 (2022-06-01)
========================
* New driving model
* Bigger model, using both of comma three's road-facing cameras
* Better at cut-in detection and tight turns
* New driver monitoring model
* Tweaked network structure to improve output resolution for DSP
* Fixed bug in quantization aware training to reduce quantizing errors
* Resulted in 7x less MSE and no more random biases at runtime
* Added toggle to disable disengaging on the accelerator pedal
* comma body support
* Audi RS3 support thanks to jyoung8607!
* Hyundai Ioniq Plug-in Hybrid 2019 support thanks to sunnyhaibin!
* Hyundai Tucson Diesel 2019 support thanks to sunnyhaibin!
* Toyota Alphard Hybrid 2021 support
* Toyota Avalon Hybrid 2022 support
* Toyota RAV4 2022 support
* Toyota RAV4 Hybrid 2022 support
Version 0.8.13 (2022-02-18)
========================
* Improved driver monitoring
* Re-tuned driver pose learner for relaxed driving positions
* Added reliance on driving model to be more scene adaptive
* Matched strictness between comma two and comma three
* Improved performance in turns by compensating for the road bank angle
* Improved camera focus on the comma two
* AGNOS 4
* ADB support
* improved cell auto configuration
* NEOS 19
* package updates
* stability improvements
* Subaru ECU firmware fingerprinting thanks to martinl!
* Hyundai Santa Fe Plug-in Hybrid 2022 support thanks to sunnyhaibin!
* Mazda CX-5 2022 support thanks to Jafaral!
* Subaru Impreza 2020 support thanks to martinl!
* Toyota Avalon 2022 support thanks to sshane!
* Toyota Prius v 2017 support thanks to CT921!
* Volkswagen Caravelle 2020 support thanks to jyoung8607!
Version 0.8.12 (2021-12-15)
========================
* New driving model
* Improved behavior around exits
* Better pose accuracy at high speeds, allowing max speed of 90mph
* Fully incorporated comma three data into all parts of training stack
* Improved follow distance
* Better longitudinal policy, especially in low speed traffic
* New alert sounds
* AGNOS 3
* Display burn in mitigation
* Improved audio amplifier configuration
* System reliability improvements
* Update Python to 3.8.10
* Raw logs upload moved to connect.comma.ai
* Fixed HUD alerts on newer Honda Bosch thanks to csouers!
* Audi Q3 2020-21 support thanks to jyoung8607!
* Lexus RC 2020 support thanks to ErichMoraga!
Version 0.8.11 (2021-11-29)
========================
* Support for CAN FD on the red panda
* Support for an external panda on the comma three
* Navigation: Show more detailed instructions when approaching maneuver
* Fixed occasional steering faults on GM cars thanks to jyoung8607!
* Nissan ECU firmware fingerprinting thanks to robin-reckmann, martinl, and razem-io!
* Cadillac Escalade ESV 2016 support thanks to Gibby!
* Genesis G70 2020 support thanks to tecandrew!
* Hyundai Santa Fe Hybrid 2022 support thanks to sunnyhaibin!
* Mazda CX-9 2021 support thanks to Jacar!
* Volkswagen Polo 2020 support thanks to jyoung8607!
* Volkswagen T-Roc 2021 support thanks to jyoung8607!
Version 0.8.10 (2021-11-01)
========================
* New driving model
* Trained on one million minutes!!!
* Fixed lead training making lead predictions significantly more accurate
* Fixed several localizer dataset bugs and loss function bugs, overall improved accuracy
* New driver monitoring model
* Trained on latest data from both comma two and comma three
* Increased model field of view by 40% on comma three
* Improved model stability on masked users
* Improved pose prediction with reworked ground-truth stack
* Lateral and longitudinal planning MPCs now in ACADOS
* Combined longitudinal MPCs
* All longitudinal planning now happens in a single MPC system
* Fixed instability in MPC problem to prevent sporadic CPU usage
* AGNOS 2: minor stability improvements and builder repo open sourced
* tools: new and improved replay thanks to deanlee!
* Moved community-supported cars outside of the Community Features toggle
* Improved FW fingerprinting reliability for Hyundai/Kia/Genesis
* Added prerequisites for longitudinal control on Hyundai/Kia/Genesis and Honda Bosch
* Audi S3 2015 support thanks to jyoung8607!
* Honda Freed 2020 support thanks to belm0!
* Hyundai Ioniq Hybrid 2020-2022 support thanks to sunnyhaibin!
* Hyundai Santa Fe 2022 support thanks to sunnyhaibin!
* Kia K5 2021 support thanks to sunnyhaibin!
* Škoda Kamiq 2021 support thanks to jyoung8607!
* Škoda Karoq 2019 support thanks to jyoung8607!
* Volkswagen Arteon 2021 support thanks to jyoung8607!
* Volkswagen California 2021 support thanks to jyoung8607!
* Volkswagen Taos 2022 support thanks to jyoung8607!
Version 0.8.9 (2021-09-14)
========================
* Improved fan control on comma three
* AGNOS 1.5: improved stability
* Honda e 2020 support
Version 0.8.8 (2021-08-27)
========================
* New driving model with improved laneless performance
* Trained on 5000+ hours of diverse driving data from 3000+ users in 40+ countries
* Better anti-cheating methods during simulator training ensure the model hugs less when in laneless mode
* All new desire ground-truthing stack makes the model better at lane changes
* New driver monitoring model: improved performance on comma three
* NEOS 18 for comma two: update packages
* AGNOS 1.3 for comma three: fix display init at high temperatures
* Improved auto-exposure on comma three
* Improved longitudinal control on Honda Nidec cars
* Hyundai Kona Hybrid 2020 support thanks to haram-KONA!
* Hyundai Sonata Hybrid 2021 support thanks to Matt-Wash-Burn!
* Kia Niro Hybrid 2021 support thanks to tetious!
Version 0.8.7 (2021-07-31)
========================
* comma three support!
* Navigation alpha for the comma three!
* Volkswagen T-Cross 2021 support thanks to jyoung8607!
Version 0.8.6 (2021-07-21)
========================
* Revamp lateral and longitudinal planners
* Refactor planner output API to be more readable and verbose
* Planners now output desired trajectories for speed, acceleration, curvature, and curvature rate
* Use MPC for longitudinal planning when no lead car is present, makes accel and decel smoother
* Remove "CHECK DRIVER FACE VISIBILITY" warning
* Fixed cruise fault on some TSS2.5 Camrys and international Toyotas
* Hyundai Elantra Hybrid 2021 support thanks to tecandrew!
* Hyundai Ioniq PHEV 2020 support thanks to YawWashout!
* Kia Niro Hybrid 2019 support thanks to jyoung8607!
* Škoda Octavia RS 2016 support thanks to jyoung8607!
* Toyota Alphard 2020 support thanks to belm0!
* Volkswagen Golf SportWagen 2015 support thanks to jona96!
* Volkswagen Touran 2017 support thanks to jyoung8607!
Version 0.8.5 (2021-06-11)
========================
* NEOS update: improved reliability and stability with better voltage regulator configuration
* Smart model-based Forward Collision Warning
* CAN-based fingerprinting moved behind community features toggle
* Improved longitudinal control on Toyotas with a comma pedal
* Improved auto-brightness using road-facing camera
* Added "Software" settings page with updater controls
* Audi Q2 2018 support thanks to jyoung8607!
* Hyundai Elantra 2021 support thanks to CruiseBrantley!
* Lexus UX Hybrid 2019-2020 support thanks to brianhaugen2!
* Toyota Avalon Hybrid 2019 support thanks to jbates9011!
* SEAT Leon 2017 & 2020 support thanks to jyoung8607!
* Škoda Octavia 2015 & 2019 support thanks to jyoung8607!
Version 0.8.4 (2021-05-17)
========================
* Delay controls start until system is ready
* Fuzzy car identification, enabled with Community Features toggle
* Localizer optimized for increased precision and less CPU usage
* Re-tuned lateral control to be more aggressive when model is confident
* Toyota Mirai 2021 support
* Lexus NX 300 2020 support thanks to goesreallyfast!
* Volkswagen Atlas 2018-19 support thanks to jyoung8607!
Version 0.8.3 (2021-04-01)
========================
* New model
* Trained on new diverse dataset from 2000+ users from 30+ countries
* Trained with improved segnet from the comma-pencil community project
* 🥬 Dramatically improved end-to-end lateral performance 🥬
* Toggle added to disable the use of lanelines
* NEOS update: update packages and support for new UI
* New offroad UI based on Qt
* Default SSH key only used for setup
* Kia Ceed 2019 support thanks to ZanZaD13!
* Kia Seltos 2021 support thanks to speedking456!
* Added support for many Volkswagen and Škoda models thanks to jyoung8607!
Version 0.8.2 (2021-02-26)
========================
* Use model points directly in MPC (no more polyfits), making lateral planning more accurate
* Use model heading prediction for smoother lateral control
* Smarter actuator delay compensation
* Improve qcamera resolution for improved video in explorer and connect
* Adjust maximum engagement speed to better fit the model's training distribution
* New driver monitoring model trained with 3x more diverse data
* Improved face detection with masks
* More predictable DM alerts when visibility is bad
* Rewritten video streaming between openpilot processes
* Improved longitudinal tuning on TSS2 Corolla and Rav4 thanks to briskspirit!
* Audi A3 2015 and 2017 support thanks to keeleysam!
* Nissan Altima 2020 support thanks to avolmensky!
* Lexus ES Hybrid 2018 support thanks to TheInventorMan!
* Toyota Camry Hybrid 2021 support thanks to alancyau!
Version 0.8.1 (2020-12-21)
========================
* Original EON is deprecated, upgrade to comma two
* Better model performance in heavy rain
* Better lane positioning in turns
* Fixed bug where model would cut turns on empty roads at night
* Fixed issue where some Toyotas would not completely stop thanks to briskspirit!
* Toyota Camry 2021 with TSS2.5 support
* Hyundai Ioniq Electric 2020 support thanks to baldwalker!
Version 0.8.0 (2020-11-30)
========================
* New driving model: fully 3D and improved cut-in detection
* UI draws 2 road edges, 4 lanelines and paths in 3D
* Major fixes to cut-in detection for openpilot longitudinal
* Grey panda is no longer supported, upgrade to comma two or black panda
* Lexus NX 2018 support thanks to matt12eagles!
* Kia Niro EV 2020 support thanks to nickn17!
* Toyota Prius 2021 support thanks to rav4kumar!
* Improved lane positioning with uncertain lanelines, wide lanes and exits
* Improved lateral control for Prius and Subaru
Version 0.7.10 (2020-10-29)
========================
* Grey panda is deprecated, upgrade to comma two or black panda
* NEOS update: update to Python 3.8.2 and lower CPU frequency
* Improved thermals due to reduced CPU frequency
* Update SNPE to 1.41.0
* Reduced offroad power consumption
* Various system stability improvements
* Acura RDX 2020 support thanks to csouers!
Version 0.7.9 (2020-10-09)
========================
* Improved car battery power management
* Improved updater robustness
* Improved realtime performance
* Reduced UI and modeld lags
* Increased torque on 2020 Hyundai Sonata and Palisade
Version 0.7.8 (2020-08-19)
========================
* New driver monitoring model: improved face detection and better compatibility with sunglasses
* Download NEOS operating system updates in the background
* Improved updater reliability and responsiveness
* Hyundai Kona 2020, Veloster 2019, and Genesis G70 2018 support thanks to xps-genesis!
Version 0.7.7 (2020-07-20)
========================
* White panda is no longer supported, upgrade to comma two or black panda
* Improved vehicle model estimation using high precision localizer
* Improved thermal management on comma two
* Improved autofocus for road-facing camera
* Improved noise performance for driver-facing camera
* Block lane change start using blindspot monitor on select Toyota, Hyundai, and Subaru
* Fix GM ignition detection
* Code cleanup and smaller release sizes
* Hyundai Sonata 2020 promoted to officially supported car
* Hyundai Ioniq Electric Limited 2019 and Ioniq SE 2020 support thanks to baldwalker!
* Subaru Forester 2019 and Ascent 2019 support thanks to martinl!
Version 0.7.6.1 (2020-06-16)
========================
* Hotfix: update kernel on some comma twos (orders #8570-#8680)
Version 0.7.6 (2020-06-05)
========================
* White panda is deprecated, upgrade to comma two or black panda
* 2017 Nissan X-Trail, 2018-19 Leaf and 2019 Rogue support thanks to avolmensky!
* 2017 Mazda CX-5 support in dashcam mode thanks to Jafaral!
* Huge CPU savings in modeld by using thneed!
* Lots of code cleanup and refactors
Version 0.7.5 (2020-05-13)
========================
* Right-Hand Drive support for both driving and driver monitoring!
* New driving model: improved at sharp turns and lead speed estimation
* New driver monitoring model: overall improvement on comma two
* Driver camera preview in settings to improve mounting position
* Added support for many Hyundai, Kia, Genesis models thanks to xx979xx!
* Improved lateral tuning for 2020 Toyota Rav 4 (hybrid)
Version 0.7.4 (2020-03-20)
========================
* New driving model: improved lane changes and lead car detection
* Improved driver monitoring model: improve eye detection
* Improved calibration stability
* Improved lateral control on some 2019 and 2020 Toyota Prius
* Improved lateral control on VW Golf: 20% more steering torque
* Fixed bug where some 2017 and 2018 Toyota C-HR would use the wrong steering angle sensor
* Support for Honda Insight thanks to theantihero!
* Code cleanup in car abstraction layers and ui
Version 0.7.3 (2020-02-21)
========================
* Support for 2020 Highlander thanks to che220!
* Support for 2018 Lexus NX 300h thanks to kengggg!
* Speed up ECU firmware query
* Fix bug where manager would sometimes hang after shutting down the car
Version 0.7.2 (2020-02-07)
========================
* ECU firmware version based fingerprinting for Honda & Toyota
@@ -27,7 +548,7 @@ Version 0.7 (2019-12-13)
* Improve GM longitudinal control: proper computations for 15Hz radar
* Move GM port, Toyota with DSU removed, comma pedal in community features; toggle switch required
* Remove upload over cellular toggle: only upload qlog and qcamera files if not on wifi
* Refactor Panda code towards ISO26262 and SIL2 compliancy
* Refactor Panda code towards ISO26262 and SIL2 compliance
* Forward stock FCW for Honda Nidec
* Volkswagen port now standard: comma Harness intercepts stock camera
@@ -118,7 +639,7 @@ Version 0.5.13 (2019-05-31)
* Reduce CPU utilization by 20% and improve stability
* Temporarily remove mapd functionalities to improve stability
* Add openpilot record-only mode for unsupported cars
* Synchronize controlsd to boardd to reduce latency
* Synchronize controlsd to pandad to reduce latency
* Remove panda support for Subaru giraffe
Version 0.5.12 (2019-05-16)
@@ -414,96 +935,96 @@ Version 0.3.4 (2017-07-28)
Version 0.3.3 (2017-06-28)
===========================
* Improved model trained on more data
* Alpha CR-V support thanks to energee and johnnwvs!
* Using the opendbc project for DBC files
* Minor performance improvements
* UI update thanks to pjlao307
* Power off button
* 6% more torque on the Civic
* Improved model trained on more data
* Alpha CR-V support thanks to energee and johnnwvs!
* Using the opendbc project for DBC files
* Minor performance improvements
* UI update thanks to pjlao307
* Power off button
* 6% more torque on the Civic
Version 0.3.2 (2017-05-22)
===========================
* Minor stability bugfixes
* Added metrics and rear view mirror disable to settings
* Update model with more crowdsourced data
* Minor stability bugfixes
* Added metrics and rear view mirror disable to settings
* Update model with more crowdsourced data
Version 0.3.1 (2017-05-17)
===========================
* visiond stability bugfix
* Add logging for angle and flashing
* visiond stability bugfix
* Add logging for angle and flashing
Version 0.3.0 (2017-05-12)
===========================
* Add CarParams struct to improve the abstraction layer
* Refactor visiond IPC to support multiple clients
* Add raw GPS and beginning support for navigation
* Improve model in visiond using crowdsourced data
* Add improved system logging to diagnose instability
* Rewrite baseui in React Native
* Moved calibration to the cloud
* Add CarParams struct to improve the abstraction layer
* Refactor visiond IPC to support multiple clients
* Add raw GPS and beginning support for navigation
* Improve model in visiond using crowdsourced data
* Add improved system logging to diagnose instability
* Rewrite baseui in React Native
* Moved calibration to the cloud
Version 0.2.9 (2017-03-01)
===========================
* Retain compatibility with NEOS v1
* Retain compatibility with NEOS v1
Version 0.2.8 (2017-02-27)
===========================
* Fix bug where frames were being dropped in minute 71
* Fix bug where frames were being dropped in minute 71
Version 0.2.7 (2017-02-08)
===========================
* Better performance and pictures at night
* Fix ptr alignment issue in boardd
* Fix brake error light, fix crash if too cold
* Better performance and pictures at night
* Fix ptr alignment issue in pandad
* Fix brake error light, fix crash if too cold
Version 0.2.6 (2017-01-31)
===========================
* Fix bug in visiond model execution
* Fix bug in visiond model execution
Version 0.2.5 (2017-01-30)
===========================
* Fix race condition in manager
* Fix race condition in manager
Version 0.2.4 (2017-01-27)
===========================
* OnePlus 3T support
* Enable installation as NEOS app
* Various minor bugfixes
* OnePlus 3T support
* Enable installation as NEOS app
* Various minor bugfixes
Version 0.2.3 (2017-01-11)
===========================
* Reduce space usage by 80%
* Add better logging
* Add Travis CI
* Reduce space usage by 80%
* Add better logging
* Add Travis CI
Version 0.2.2 (2017-01-10)
===========================
* Board triggers started signal on CAN messages
* Improved autoexposure
* Handle out of space, improve upload status
* Board triggers started signal on CAN messages
* Improved autoexposure
* Handle out of space, improve upload status
Version 0.2.1 (2016-12-14)
===========================
* Performance improvements, removal of more numpy
* Fix boardd process priority
* Make counter timer reset on use of steering wheel
* Performance improvements, removal of more numpy
* Fix pandad process priority
* Make counter timer reset on use of steering wheel
Version 0.2 (2016-12-12)
=========================
* Car/Radar abstraction layers have shipped, see cereal/car.capnp
* controlsd has been refactored
* Shipped plant model and testing maneuvers
* visiond exits more gracefully now
* Hardware encoder in visiond should always init
* ui now turns off the screen after 30 seconds
* Switch to openpilot release branch for future releases
* Added preliminary Docker container to run tests on PC
* Car/Radar abstraction layers have shipped, see cereal/car.capnp
* controlsd has been refactored
* Shipped plant model and testing maneuvers
* visiond exits more gracefully now
* Hardware encoder in visiond should always init
* ui now turns off the screen after 30 seconds
* Switch to openpilot release branch for future releases
* Added preliminary Docker container to run tests on PC
Version 0.1 (2016-11-29)
=========================
* Initial release of openpilot
* Adaptive cruise control is working
* Lane keep assist is working
* Support for Acura ILX 2016 with AcuraWatch Plus
* Support for Honda Civic 2016 Touring Edition
* Initial release of openpilot
* Adaptive cruise control is working
* Lane keep assist is working
* Support for Acura ILX 2016 with AcuraWatch Plus
* Support for Honda Civic 2016 Touring Edition
-34
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@@ -1,34 +0,0 @@
openpilot Safety
======
openpilot is an Adaptive Cruise Control (ACC) and Automated Lane Centering (ALC) system.
Like other ACC and ALC systems, openpilot is a failsafe passive system and it requires the
driver to be alert and to pay attention at all times.
In order to enforce driver alertness, openpilot includes a driver monitoring feature
that alerts the driver when distracted.
However, even with an attentive driver, we must make further efforts for the system to be
safe. We repeat, **driver alertness is necessary, but not sufficient, for openpilot to be
used safely** and openpilot is provided with no warranty of fitness for any purpose.
openpilot is developed in good faith to be compliant with FMVSS requirements and to follow
industry standards of safety for Level 2 Driver Assistance Systems. In particular, we observe
ISO26262 guidelines, including those from [pertinent documents](https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/13498a_812_573_alcsystemreport.pdf)
released by NHTSA. In addition, we impose strict coding guidelines (like [MISRA C : 2012](https://www.misra.org.uk/MISRAHome/MISRAC2012/tabid/196/Default.aspx))
on parts of openpilot that are safety relevant. We also perform software-in-the-loop,
hardware-in-the-loop and in-vehicle tests before each software release.
Following Hazard and Risk Analysis and FMEA, at a very high level, we have designed openpilot
ensuring two main safety requirements.
1. The driver must always be capable to immediately retake manual control of the vehicle,
by stepping on either pedal or by pressing the cancel button.
2. The vehicle must not alter its trajectory too quickly for the driver to safely
react. This means that while the system is engaged, the actuators are constrained
to operate within reasonable limits.
For vehicle specific implementation of the safety concept, refer to `panda/board/safety/`.
**Extra note**: comma.ai strongly discourages the use of openpilot forks with safety code either missing or
not fully meeting the above requirements.
-232
View File
@@ -1,232 +0,0 @@
import os
import subprocess
import sys
import platform
AddOption('--test',
action='store_true',
help='build test files')
AddOption('--asan',
action='store_true',
help='turn on ASAN')
arch = subprocess.check_output(["uname", "-m"], encoding='utf8').rstrip()
if platform.system() == "Darwin":
arch = "Darwin"
if arch == "aarch64":
lenv = {
"LD_LIBRARY_PATH": '/data/data/com.termux/files/usr/lib',
"PATH": os.environ['PATH'],
"ANDROID_DATA": os.environ['ANDROID_DATA'],
"ANDROID_ROOT": os.environ['ANDROID_ROOT'],
}
cpppath = [
"#phonelibs/opencl/include",
]
libpath = [
"#phonelibs/snpe/aarch64-android-clang3.8",
"/usr/lib",
"/data/data/com.termux/files/usr/lib",
"/system/vendor/lib64",
"/system/comma/usr/lib",
"#phonelibs/nanovg",
"#phonelibs/libyuv/lib",
]
cflags = ["-DQCOM", "-mcpu=cortex-a57"]
cxxflags = ["-DQCOM", "-mcpu=cortex-a57"]
rpath = ["/system/vendor/lib64"]
else:
lenv = {
"PATH": "#external/bin:" + os.environ['PATH'],
}
cpppath = [
"#phonelibs/capnp-cpp/include",
"#phonelibs/capnp-c/include",
"#phonelibs/zmq/x64/include",
"#external/tensorflow/include",
]
if arch == "Darwin":
libpath = [
"#phonelibs/capnp-cpp/mac/lib",
"#phonelibs/capnp-c/mac/lib",
"#phonelibs/libyuv/mac/lib",
"#cereal",
"#selfdrive/common",
"/usr/local/lib",
"/System/Library/Frameworks/OpenGL.framework/Libraries",
]
else:
libpath = [
"#phonelibs/capnp-cpp/x64/lib",
"#phonelibs/capnp-c/x64/lib",
"#phonelibs/snpe/x86_64-linux-clang",
"#phonelibs/zmq/x64/lib",
"#phonelibs/libyuv/x64/lib",
"#external/zmq/lib",
"#external/tensorflow/lib",
"#cereal",
"#selfdrive/common",
"/usr/lib",
"/usr/local/lib",
]
rpath = ["phonelibs/capnp-cpp/x64/lib",
"phonelibs/zmq/x64/lib",
"external/tensorflow/lib",
"cereal",
"selfdrive/common"]
# allows shared libraries to work globally
rpath = [os.path.join(os.getcwd(), x) for x in rpath]
cflags = []
cxxflags = []
ccflags_asan = ["-fsanitize=address", "-fno-omit-frame-pointer"] if GetOption('asan') else []
ldflags_asan = ["-fsanitize=address"] if GetOption('asan') else []
# change pythonpath to this
lenv["PYTHONPATH"] = Dir("#").path
env = Environment(
ENV=lenv,
CCFLAGS=[
"-g",
"-fPIC",
"-O2",
"-Werror=implicit-function-declaration",
"-Werror=incompatible-pointer-types",
"-Werror=int-conversion",
"-Werror=return-type",
"-Werror=format-extra-args",
] + cflags + ccflags_asan,
CPPPATH=cpppath + [
"#",
"#selfdrive",
"#phonelibs/bzip2",
"#phonelibs/libyuv/include",
"#phonelibs/openmax/include",
"#phonelibs/json/src",
"#phonelibs/json11",
"#phonelibs/eigen",
"#phonelibs/curl/include",
"#phonelibs/opencv/include",
"#phonelibs/libgralloc/include",
"#phonelibs/android_frameworks_native/include",
"#phonelibs/android_hardware_libhardware/include",
"#phonelibs/android_system_core/include",
"#phonelibs/linux/include",
"#phonelibs/snpe/include",
"#phonelibs/nanovg",
"#selfdrive/common",
"#selfdrive/camerad",
"#selfdrive/camerad/include",
"#selfdrive/loggerd/include",
"#selfdrive/modeld",
"#cereal/messaging",
"#cereal",
"#opendbc/can",
],
CC='clang',
CXX='clang++',
LINKFLAGS=ldflags_asan,
RPATH=rpath,
CFLAGS=["-std=gnu11"] + cflags,
CXXFLAGS=["-std=c++14"] + cxxflags,
LIBPATH=libpath +
[
"#cereal",
"#selfdrive/common",
"#phonelibs",
]
)
if os.environ.get('SCONS_CACHE'):
CacheDir('/tmp/scons_cache')
node_interval = 5
node_count = 0
def progress_function(node):
global node_count
node_count += node_interval
sys.stderr.write("progress: %d\n" % node_count)
if os.environ.get('SCONS_PROGRESS'):
Progress(progress_function, interval=node_interval)
SHARED = False
def abspath(x):
if arch == 'aarch64':
pth = os.path.join("/data/pythonpath", x[0].path)
env.Depends(pth, x)
return File(pth)
else:
# rpath works elsewhere
return x[0].path.rsplit("/", 1)[1][:-3]
#zmq = 'zmq'
# still needed for apks
zmq = FindFile("libzmq.a", libpath)
Export('env', 'arch', 'zmq', 'SHARED')
# cereal and messaging are shared with the system
SConscript(['cereal/SConscript'])
if SHARED:
cereal = abspath([File('cereal/libcereal_shared.so')])
messaging = abspath([File('cereal/libmessaging_shared.so')])
else:
cereal = [File('#cereal/libcereal.a')]
messaging = [File('#cereal/libmessaging.a')]
Export('cereal', 'messaging')
SConscript(['selfdrive/common/SConscript'])
Import('_common', '_visionipc', '_gpucommon', '_gpu_libs')
if SHARED:
common, visionipc, gpucommon = abspath(common), abspath(visionipc), abspath(gpucommon)
else:
common = [_common, 'json']
visionipc = _visionipc
gpucommon = [_gpucommon] + _gpu_libs
Export('common', 'visionipc', 'gpucommon')
SConscript(['opendbc/can/SConscript'])
SConscript(['common/SConscript'])
SConscript(['common/kalman/SConscript'])
SConscript(['phonelibs/SConscript'])
if arch != "Darwin":
SConscript(['selfdrive/camerad/SConscript'])
SConscript(['selfdrive/modeld/SConscript'])
SConscript(['selfdrive/controls/lib/cluster/SConscript'])
SConscript(['selfdrive/controls/lib/lateral_mpc/SConscript'])
SConscript(['selfdrive/controls/lib/longitudinal_mpc/SConscript'])
SConscript(['selfdrive/boardd/SConscript'])
SConscript(['selfdrive/proclogd/SConscript'])
SConscript(['selfdrive/ui/SConscript'])
SConscript(['selfdrive/loggerd/SConscript'])
if arch == "aarch64":
SConscript(['selfdrive/logcatd/SConscript'])
SConscript(['selfdrive/sensord/SConscript'])
SConscript(['selfdrive/clocksd/SConscript'])
SConscript(['selfdrive/locationd/SConscript'])
# TODO: finish cereal, dbcbuilder, MPC
+5
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# Security Policy
## Reporting a Vulnerability
Suspected vulnerabilities can be reported to both `adeeb@comma.ai` and `security@comma.ai`.
-3
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@@ -1,3 +0,0 @@
Place apks here that you want to be installed with the name <app>.apk
These won't be committed into one, but for now baseui will ship with openpilot.
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:309b46b7c38f10da52b18b0340eb3c57b633558a9a27c3ca4116474969ebb456
size 84675
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d563bc9d43408f78d859538b50999cd7703487bdbe1fba1b11a3810205cd26c4
size 2856327
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7513530cf08df553395f3fbe9066c42993a34e445924f0aa3e3182c68dce25a3
size 13642104
Submodule apks deleted from d4f4f07a15
Submodule cereal deleted from ab32956aaf
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# What is cereal? [![cereal tests](https://github.com/commaai/cereal/workflows/tests/badge.svg?event=push)](https://github.com/commaai/cereal/actions) [![codecov](https://codecov.io/gh/commaai/cereal/branch/master/graph/badge.svg)](https://codecov.io/gh/commaai/cereal)
cereal is both a messaging spec for robotics systems as well as generic high performance IPC pub sub messaging with a single publisher and multiple subscribers.
Imagine this use case:
* A sensor process reads gyro measurements directly from an IMU and publishes a `sensorEvents` packet
* A calibration process subscribes to the `sensorEvents` packet to use the IMU
* A localization process subscribes to the `sensorEvents` packet to use the IMU also
## Messaging Spec
You'll find the message types in [log.capnp](log.capnp). It uses [Cap'n proto](https://capnproto.org/capnp-tool.html) and defines one struct called `Event`.
All `Events` have a `logMonoTime` and a `valid`. Then a big union defines the packet type.
### Best Practices
- **All fields must describe quantities in SI units**, unless otherwise specified in the field name.
- In the context of the message they are in, field names should be completely unambiguous.
- All values should be easy to plot and be human-readable with minimal parsing.
### Maintaining backwards-compatibility
When making changes to the messaging spec you want to maintain backwards-compatibility, such that old logs can
be parsed with a new version of cereal. Adding structs and adding members to structs is generally safe, most other
things are not. Read more details [here](https://capnproto.org/language.html).
### Custom forks
Forks of [openpilot](https://github.com/commaai/openpilot) might want to add things to the messaging
spec, however this could conflict with future changes made in mainline cereal/openpilot. Rebasing against mainline openpilot
then means breaking backwards-compatibility with all old logs of your fork. So we added reserved events in
[custom.capnp](custom.capnp) that we will leave empty in mainline cereal/openpilot. **If you only modify those, you can ensure your
fork will remain backwards-compatible with all versions of mainline cereal/openpilot and your fork.**
## Pub Sub Backends
cereal supports two backends, one based on [zmq](https://zeromq.org/) and another called [msgq](messaging/msgq.cc), a custom pub sub based on shared memory that doesn't require the bytes to pass through the kernel.
Example
---
```python
import cereal.messaging as messaging
# in subscriber
sm = messaging.SubMaster(['sensorEvents'])
while 1:
sm.update()
print(sm['sensorEvents'])
```
```python
# in publisher
pm = messaging.PubMaster(['sensorEvents'])
dat = messaging.new_message('sensorEvents', size=1)
dat.sensorEvents[0] = {"gyro": {"v": [0.1, -0.1, 0.1]}}
pm.send('sensorEvents', dat)
```
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import os
import capnp
CEREAL_PATH = os.path.dirname(os.path.abspath(__file__))
capnp.remove_import_hook()
log = capnp.load(os.path.join(CEREAL_PATH, "log.capnp"))
car = capnp.load(os.path.join(CEREAL_PATH, "car.capnp"))
custom = capnp.load(os.path.join(CEREAL_PATH, "custom.capnp"))
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using Cxx = import "./include/c++.capnp";
$Cxx.namespace("cereal");
@0x8e2af1e708af8b8d;
# ******* events causing controls state machine transition *******
struct CarEvent @0x9b1657f34caf3ad3 {
name @0 :EventName;
# event types
enable @1 :Bool;
noEntry @2 :Bool;
warning @3 :Bool; # alerts presented only when enabled or soft disabling
userDisable @4 :Bool;
softDisable @5 :Bool;
immediateDisable @6 :Bool;
preEnable @7 :Bool;
permanent @8 :Bool; # alerts presented regardless of openpilot state
overrideLateral @10 :Bool;
overrideLongitudinal @9 :Bool;
enum EventName @0xbaa8c5d505f727de {
canError @0;
steerUnavailable @1;
wrongGear @4;
doorOpen @5;
seatbeltNotLatched @6;
espDisabled @7;
wrongCarMode @8;
steerTempUnavailable @9;
reverseGear @10;
buttonCancel @11;
buttonEnable @12;
pedalPressed @13; # exits active state
preEnableStandstill @73; # added during pre-enable state with brake
gasPressedOverride @108; # added when user is pressing gas with no disengage on gas
steerOverride @114;
cruiseDisabled @14;
speedTooLow @17;
outOfSpace @18;
overheat @19;
calibrationIncomplete @20;
calibrationInvalid @21;
calibrationRecalibrating @117;
controlsMismatch @22;
pcmEnable @23;
pcmDisable @24;
radarFault @26;
brakeHold @28;
parkBrake @29;
manualRestart @30;
lowSpeedLockout @31;
joystickDebug @34;
steerTempUnavailableSilent @35;
resumeRequired @36;
preDriverDistracted @37;
promptDriverDistracted @38;
driverDistracted @39;
preDriverUnresponsive @43;
promptDriverUnresponsive @44;
driverUnresponsive @45;
belowSteerSpeed @46;
lowBattery @48;
accFaulted @51;
sensorDataInvalid @52;
commIssue @53;
commIssueAvgFreq @109;
tooDistracted @54;
posenetInvalid @55;
soundsUnavailable @56;
preLaneChangeLeft @57;
preLaneChangeRight @58;
laneChange @59;
lowMemory @63;
stockAeb @64;
ldw @65;
carUnrecognized @66;
invalidLkasSetting @69;
speedTooHigh @70;
laneChangeBlocked @71;
relayMalfunction @72;
stockFcw @74;
startup @75;
startupNoCar @76;
startupNoControl @77;
startupNoSecOcKey @121;
startupMaster @78;
startupNoFw @104;
fcw @79;
steerSaturated @80;
belowEngageSpeed @84;
noGps @85;
wrongCruiseMode @87;
modeldLagging @89;
deviceFalling @90;
fanMalfunction @91;
cameraMalfunction @92;
cameraFrameRate @110;
processNotRunning @95;
dashcamMode @96;
controlsInitializing @98;
usbError @99;
roadCameraError @100;
driverCameraError @101;
wideRoadCameraError @102;
highCpuUsage @105;
cruiseMismatch @106;
lkasDisabled @107;
canBusMissing @111;
controlsdLagging @112;
resumeBlocked @113;
steerTimeLimit @115;
vehicleSensorsInvalid @116;
locationdTemporaryError @103;
locationdPermanentError @118;
paramsdTemporaryError @50;
paramsdPermanentError @119;
actuatorsApiUnavailable @120;
# FrogPilot Events
accel30 @122;
accel35 @123;
accel40 @124;
blockUser @125;
customStartupAlert @126;
dejaVuCurve @127;
firefoxSteerSaturated @128;
forcingStop @129;
goatSteerSaturated @130;
greenLight @131;
hal9000 @132;
holidayActive @133;
laneChangeBlockedLoud @134;
leadDeparting @135;
noLaneAvailable @136;
openpilotCrashed @137;
openpilotCrashedRandomEvent @138;
pedalInterceptorNoBrake @139;
speedLimitChanged @140;
thisIsFineSteerSaturated @141;
toBeContinued @142;
torqueNNLoad @143;
trafficModeActive @144;
trafficModeInactive @145;
turningLeft @146;
turningRight @147;
vCruise69 @148;
yourFrogTriedToKillMe @149;
youveGotMail @150;
radarCanErrorDEPRECATED @15;
communityFeatureDisallowedDEPRECATED @62;
radarCommIssueDEPRECATED @67;
driverMonitorLowAccDEPRECATED @68;
gasUnavailableDEPRECATED @3;
dataNeededDEPRECATED @16;
modelCommIssueDEPRECATED @27;
ipasOverrideDEPRECATED @33;
geofenceDEPRECATED @40;
driverMonitorOnDEPRECATED @41;
driverMonitorOffDEPRECATED @42;
calibrationProgressDEPRECATED @47;
invalidGiraffeHondaDEPRECATED @49;
invalidGiraffeToyotaDEPRECATED @60;
internetConnectivityNeededDEPRECATED @61;
whitePandaUnsupportedDEPRECATED @81;
commIssueWarningDEPRECATED @83;
focusRecoverActiveDEPRECATED @86;
neosUpdateRequiredDEPRECATED @88;
modelLagWarningDEPRECATED @93;
startupOneplusDEPRECATED @82;
startupFuzzyFingerprintDEPRECATED @97;
noTargetDEPRECATED @25;
brakeUnavailableDEPRECATED @2;
plannerErrorDEPRECATED @32;
gpsMalfunctionDEPRECATED @94;
}
}
# ******* main car state @ 100hz *******
# all speeds in m/s
struct CarState {
events @13 :List(CarEvent);
# CAN health
canValid @26 :Bool; # invalid counter/checksums
canTimeout @40 :Bool; # CAN bus dropped out
canErrorCounter @48 :UInt32;
# car speed
vEgo @1 :Float32; # best estimate of speed
aEgo @16 :Float32; # best estimate of acceleration
vEgoRaw @17 :Float32; # unfiltered speed from CAN sensors
vEgoCluster @44 :Float32; # best estimate of speed shown on car's instrument cluster, used for UI
yawRate @22 :Float32; # best estimate of yaw rate
standstill @18 :Bool;
wheelSpeeds @2 :WheelSpeeds;
# gas pedal, 0.0-1.0
gas @3 :Float32; # this is user pedal only
gasPressed @4 :Bool; # this is user pedal only
engineRpm @46 :Float32;
# brake pedal, 0.0-1.0
brake @5 :Float32; # this is user pedal only
brakePressed @6 :Bool; # this is user pedal only
regenBraking @45 :Bool; # this is user pedal only
parkingBrake @39 :Bool;
brakeHoldActive @38 :Bool;
# steering wheel
steeringAngleDeg @7 :Float32;
steeringAngleOffsetDeg @37 :Float32; # Offset betweens sensors in case there multiple
steeringRateDeg @15 :Float32;
steeringTorque @8 :Float32; # TODO: standardize units
steeringTorqueEps @27 :Float32; # TODO: standardize units
steeringPressed @9 :Bool; # if the user is using the steering wheel
steerFaultTemporary @35 :Bool; # temporary EPS fault
steerFaultPermanent @36 :Bool; # permanent EPS fault
stockAeb @30 :Bool;
stockFcw @31 :Bool;
espDisabled @32 :Bool;
accFaulted @42 :Bool;
carFaultedNonCritical @47 :Bool; # some ECU is faulted, but car remains controllable
# cruise state
cruiseState @10 :CruiseState;
# gear
gearShifter @14 :GearShifter;
# button presses
buttonEvents @11 :List(ButtonEvent);
leftBlinker @20 :Bool;
rightBlinker @21 :Bool;
genericToggle @23 :Bool;
# lock info
doorOpen @24 :Bool;
seatbeltUnlatched @25 :Bool;
# clutch (manual transmission only)
clutchPressed @28 :Bool;
# blindspot sensors
leftBlindspot @33 :Bool; # Is there something blocking the left lane change
rightBlindspot @34 :Bool; # Is there something blocking the right lane change
fuelGauge @41 :Float32; # battery or fuel tank level from 0.0 to 1.0
charging @43 :Bool;
# process meta
cumLagMs @50 :Float32;
struct WheelSpeeds {
# optional wheel speeds
fl @0 :Float32;
fr @1 :Float32;
rl @2 :Float32;
rr @3 :Float32;
}
struct CruiseState {
enabled @0 :Bool;
speed @1 :Float32;
speedCluster @6 :Float32; # Set speed as shown on instrument cluster
available @2 :Bool;
speedOffset @3 :Float32;
standstill @4 :Bool;
nonAdaptive @5 :Bool;
}
enum GearShifter {
unknown @0;
park @1;
drive @2;
neutral @3;
reverse @4;
sport @5;
low @6;
brake @7;
eco @8;
manumatic @9;
}
# send on change
struct ButtonEvent {
pressed @0 :Bool;
type @1 :Type;
enum Type {
unknown @0;
leftBlinker @1;
rightBlinker @2;
accelCruise @3;
decelCruise @4;
cancel @5;
altButton1 @6;
altButton2 @7;
altButton3 @8;
setCruise @9;
resumeCruise @10;
gapAdjustCruise @11;
}
}
# deprecated
errorsDEPRECATED @0 :List(CarEvent.EventName);
brakeLightsDEPRECATED @19 :Bool;
steeringRateLimitedDEPRECATED @29 :Bool;
canMonoTimesDEPRECATED @12: List(UInt64);
canRcvTimeoutDEPRECATED @49 :Bool;
}
# ******* radar state @ 20hz *******
struct RadarData @0x888ad6581cf0aacb {
errors @0 :List(Error);
points @1 :List(RadarPoint);
enum Error {
canError @0;
fault @1;
wrongConfig @2;
}
# similar to LiveTracks
# is one timestamp valid for all? I think so
struct RadarPoint {
trackId @0 :UInt64; # no trackId reuse
# these 3 are the minimum required
dRel @1 :Float32; # m from the front bumper of the car
yRel @2 :Float32; # m
vRel @3 :Float32; # m/s
# these are optional and valid if they are not NaN
aRel @4 :Float32; # m/s^2
yvRel @5 :Float32; # m/s
# some radars flag measurements VS estimates
measured @6 :Bool;
}
# deprecated
canMonoTimesDEPRECATED @2 :List(UInt64);
}
# ******* car controls @ 100hz *******
struct CarControl {
# must be true for any actuator commands to work
enabled @0 :Bool;
latActive @11: Bool;
longActive @12: Bool;
# Actuator commands as computed by controlsd
actuators @6 :Actuators;
# moved to CarOutput
actuatorsOutputDEPRECATED @10 :Actuators;
leftBlinker @15: Bool;
rightBlinker @16: Bool;
orientationNED @13 :List(Float32);
angularVelocity @14 :List(Float32);
cruiseControl @4 :CruiseControl;
hudControl @5 :HUDControl;
struct Actuators {
# range from 0.0 - 1.0
gas @0: Float32;
brake @1: Float32;
# range from -1.0 - 1.0
steer @2: Float32;
# value sent over can to the car
steerOutputCan @8: Float32;
steeringAngleDeg @3: Float32;
curvature @7: Float32;
speed @6: Float32; # m/s
accel @4: Float32; # m/s^2
longControlState @5: LongControlState;
enum LongControlState @0xe40f3a917d908282{
off @0;
pid @1;
stopping @2;
starting @3;
}
}
struct CruiseControl {
cancel @0: Bool;
resume @1: Bool;
override @4: Bool;
speedOverrideDEPRECATED @2: Float32;
accelOverrideDEPRECATED @3: Float32;
}
struct HUDControl {
speedVisible @0: Bool;
setSpeed @1: Float32;
lanesVisible @2: Bool;
leadVisible @3: Bool;
visualAlert @4: VisualAlert;
audibleAlert @5: AudibleAlert;
rightLaneVisible @6: Bool;
leftLaneVisible @7: Bool;
rightLaneDepart @8: Bool;
leftLaneDepart @9: Bool;
leadDistanceBars @10: Int8; # 1-3: 1 is closest, 3 is farthest. some ports may utilize 2-4 bars instead
enum VisualAlert {
# these are the choices from the Honda
# map as good as you can for your car
none @0;
fcw @1;
steerRequired @2;
brakePressed @3;
wrongGear @4;
seatbeltUnbuckled @5;
speedTooHigh @6;
ldw @7;
}
enum AudibleAlert {
none @0;
engage @1;
disengage @2;
refuse @3;
warningSoft @4;
warningImmediate @5;
prompt @6;
promptRepeat @7;
promptDistracted @8;
# FrogPilot sounds
angry @9;
continued @10;
dejaVu @11;
doc @12;
fart @13;
firefox @14;
goat @15;
hal9000 @16;
mail @17;
nessie @18;
noice @19;
startup @20;
thisIsFine @21;
uwu @22;
}
}
gasDEPRECATED @1 :Float32;
brakeDEPRECATED @2 :Float32;
steeringTorqueDEPRECATED @3 :Float32;
activeDEPRECATED @7 :Bool;
rollDEPRECATED @8 :Float32;
pitchDEPRECATED @9 :Float32;
}
struct CarOutput {
# Any car specific rate limits or quirks applied by
# the CarController are reflected in actuatorsOutput
# and matches what is sent to the car
actuatorsOutput @0 :CarControl.Actuators;
}
# ****** car param ******
struct CarParams {
carName @0 :Text;
carFingerprint @1 :Text;
fuzzyFingerprint @55 :Bool;
notCar @66 :Bool; # flag for non-car robotics platforms
pcmCruise @3 :Bool; # is openpilot's state tied to the PCM's cruise state?
enableDsu @5 :Bool; # driving support unit
enableBsm @56 :Bool; # blind spot monitoring
flags @64 :UInt32; # flags for car specific quirks
experimentalLongitudinalAvailable @71 :Bool;
minEnableSpeed @7 :Float32;
minSteerSpeed @8 :Float32;
safetyConfigs @62 :List(SafetyConfig);
alternativeExperience @65 :Int16; # panda flag for features like no disengage on gas
# Car docs fields
maxLateralAccel @68 :Float32;
autoResumeSng @69 :Bool; # describes whether car can resume from a stop automatically
# things about the car in the manual
mass @17 :Float32; # [kg] curb weight: all fluids no cargo
wheelbase @18 :Float32; # [m] distance from rear axle to front axle
centerToFront @19 :Float32; # [m] distance from center of mass to front axle
steerRatio @20 :Float32; # [] ratio of steering wheel angle to front wheel angle
steerRatioRear @21 :Float32; # [] ratio of steering wheel angle to rear wheel angle (usually 0)
# things we can derive
rotationalInertia @22 :Float32; # [kg*m2] body rotational inertia
tireStiffnessFactor @72 :Float32; # scaling factor used in calculating tireStiffness[Front,Rear]
tireStiffnessFront @23 :Float32; # [N/rad] front tire coeff of stiff
tireStiffnessRear @24 :Float32; # [N/rad] rear tire coeff of stiff
longitudinalTuning @25 :LongitudinalPIDTuning;
lateralParams @48 :LateralParams;
lateralTuning :union {
pid @26 :LateralPIDTuning;
indiDEPRECATED @27 :LateralINDITuning;
lqrDEPRECATED @40 :LateralLQRTuning;
torque @67 :LateralTorqueTuning;
}
steerLimitAlert @28 :Bool;
steerLimitTimer @47 :Float32; # time before steerLimitAlert is issued
vEgoStopping @29 :Float32; # Speed at which the car goes into stopping state
vEgoStarting @59 :Float32; # Speed at which the car goes into starting state
stoppingControl @31 :Bool; # Does the car allow full control even at lows speeds when stopping
steerControlType @34 :SteerControlType;
radarUnavailable @35 :Bool; # True when radar objects aren't visible on CAN or aren't parsed out
stopAccel @60 :Float32; # Required acceleration to keep vehicle stationary
stoppingDecelRate @52 :Float32; # m/s^2/s while trying to stop
startAccel @32 :Float32; # Required acceleration to get car moving
startingState @70 :Bool; # Does this car make use of special starting state
steerActuatorDelay @36 :Float32; # Steering wheel actuator delay in seconds
longitudinalActuatorDelay @58 :Float32; # Gas/Brake actuator delay in seconds
openpilotLongitudinalControl @37 :Bool; # is openpilot doing the longitudinal control?
carVin @38 :Text; # VIN number queried during fingerprinting
dashcamOnly @41: Bool;
passive @73: Bool; # is openpilot in control?
transmissionType @43 :TransmissionType;
carFw @44 :List(CarFw);
radarTimeStep @45: Float32 = 0.05; # time delta between radar updates, 20Hz is very standard
fingerprintSource @49: FingerprintSource;
networkLocation @50 :NetworkLocation; # Where Panda/C2 is integrated into the car's CAN network
wheelSpeedFactor @63 :Float32; # Multiplier on wheels speeds to computer actual speeds
secOcRequired @74 :Bool; # Car requires SecOC message authentication to operate
secOcKeyAvailable @75 :Bool; # Stored SecOC key loaded from params
struct SafetyConfig {
safetyModel @0 :SafetyModel;
safetyParam @3 :UInt16;
safetyParamDEPRECATED @1 :Int16;
safetyParam2DEPRECATED @2 :UInt32;
}
struct LateralParams {
torqueBP @0 :List(Int32);
torqueV @1 :List(Int32);
}
struct LateralPIDTuning {
kpBP @0 :List(Float32);
kpV @1 :List(Float32);
kiBP @2 :List(Float32);
kiV @3 :List(Float32);
kf @4 :Float32;
}
struct LateralTorqueTuning {
useSteeringAngle @0 :Bool;
kp @1 :Float32;
ki @2 :Float32;
friction @3 :Float32;
kf @4 :Float32;
steeringAngleDeadzoneDeg @5 :Float32;
latAccelFactor @6 :Float32;
latAccelOffset @7 :Float32;
}
struct LongitudinalPIDTuning {
kpBP @0 :List(Float32);
kpV @1 :List(Float32);
kiBP @2 :List(Float32);
kiV @3 :List(Float32);
kf @6 :Float32;
deadzoneBP @4 :List(Float32);
deadzoneV @5 :List(Float32);
}
struct LateralINDITuning {
outerLoopGainBP @4 :List(Float32);
outerLoopGainV @5 :List(Float32);
innerLoopGainBP @6 :List(Float32);
innerLoopGainV @7 :List(Float32);
timeConstantBP @8 :List(Float32);
timeConstantV @9 :List(Float32);
actuatorEffectivenessBP @10 :List(Float32);
actuatorEffectivenessV @11 :List(Float32);
outerLoopGainDEPRECATED @0 :Float32;
innerLoopGainDEPRECATED @1 :Float32;
timeConstantDEPRECATED @2 :Float32;
actuatorEffectivenessDEPRECATED @3 :Float32;
}
struct LateralLQRTuning {
scale @0 :Float32;
ki @1 :Float32;
dcGain @2 :Float32;
# State space system
a @3 :List(Float32);
b @4 :List(Float32);
c @5 :List(Float32);
k @6 :List(Float32); # LQR gain
l @7 :List(Float32); # Kalman gain
}
enum SafetyModel {
silent @0;
hondaNidec @1;
toyota @2;
elm327 @3;
gm @4;
hondaBoschGiraffe @5;
ford @6;
cadillac @7;
hyundai @8;
chrysler @9;
tesla @10;
subaru @11;
gmPassive @12;
mazda @13;
nissan @14;
volkswagen @15;
toyotaIpas @16;
allOutput @17;
gmAscm @18;
noOutput @19; # like silent but without silent CAN TXs
hondaBosch @20;
volkswagenPq @21;
subaruPreglobal @22; # pre-Global platform
hyundaiLegacy @23;
hyundaiCommunity @24;
volkswagenMlb @25;
hongqi @26;
body @27;
hyundaiCanfd @28;
volkswagenMqbEvo @29;
chryslerCusw @30;
psa @31;
}
enum SteerControlType {
torque @0;
angle @1;
curvatureDEPRECATED @2;
}
enum TransmissionType {
unknown @0;
automatic @1; # Traditional auto, including DSG
manual @2; # True "stick shift" only
direct @3; # Electric vehicle or other direct drive
cvt @4;
}
struct CarFw {
ecu @0 :Ecu;
fwVersion @1 :Data;
address @2 :UInt32;
subAddress @3 :UInt8;
responseAddress @4 :UInt32;
request @5 :List(Data);
brand @6 :Text;
bus @7 :UInt8;
logging @8 :Bool;
obdMultiplexing @9 :Bool;
}
enum Ecu {
eps @0;
abs @1;
fwdRadar @2;
fwdCamera @3;
engine @4;
unknown @5;
transmission @8; # Transmission Control Module
hybrid @18; # hybrid control unit, e.g. Chrysler's HCP, Honda's IMA Control Unit, Toyota's hybrid control computer
srs @9; # airbag
gateway @10; # can gateway
hud @11; # heads up display
combinationMeter @12; # instrument cluster
electricBrakeBooster @15;
shiftByWire @16;
adas @19;
cornerRadar @21;
hvac @20;
parkingAdas @7; # parking assist system ECU, e.g. Toyota's IPAS, Hyundai's RSPA, etc.
epb @22; # electronic parking brake
telematics @23;
body @24; # body control module
# Toyota only
dsu @6;
# Honda only
vsa @13; # Vehicle Stability Assist
programmedFuelInjection @14;
debug @17;
}
enum FingerprintSource {
can @0;
fw @1;
fixed @2;
}
enum NetworkLocation {
fwdCamera @0; # Standard/default integration at LKAS camera
gateway @1; # Integration at vehicle's CAN gateway
}
enableGasInterceptor @2 :Bool;
enableCameraDEPRECATED @4 :Bool;
enableApgsDEPRECATED @6 :Bool;
steerRateCostDEPRECATED @33 :Float32;
isPandaBlackDEPRECATED @39 :Bool;
hasStockCameraDEPRECATED @57 :Bool;
safetyParamDEPRECATED @10 :Int16;
safetyModelDEPRECATED @9 :SafetyModel;
safetyModelPassiveDEPRECATED @42 :SafetyModel = silent;
minSpeedCanDEPRECATED @51 :Float32;
communityFeatureDEPRECATED @46: Bool;
startingAccelRateDEPRECATED @53 :Float32;
steerMaxBPDEPRECATED @11 :List(Float32);
steerMaxVDEPRECATED @12 :List(Float32);
gasMaxBPDEPRECATED @13 :List(Float32);
gasMaxVDEPRECATED @14 :List(Float32);
brakeMaxBPDEPRECATED @15 :List(Float32);
brakeMaxVDEPRECATED @16 :List(Float32);
directAccelControlDEPRECATED @30 :Bool;
maxSteeringAngleDegDEPRECATED @54 :Float32;
longitudinalActuatorDelayLowerBoundDEPRECATEDDEPRECATED @61 :Float32;
}
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using Cxx = import "./include/c++.capnp";
$Cxx.namespace("cereal");
using Car = import "car.capnp";
@0xb526ba661d550a59;
# custom.capnp: a home for empty structs reserved for custom forks
# These structs are guaranteed to remain reserved and empty in mainline
# cereal, so use these if you want custom events in your fork.
# you can rename the struct, but don't change the identifier
struct FrogPilotCarParams @0x81c2f05a394cf4af {
fpFlags @0 :UInt32;
openpilotLongitudinalControlDisabled @1 :Bool;
}
struct FrogPilotCarState @0xaedffd8f31e7b55d {
struct ButtonEvent {
enum Type {
lkas @0;
}
}
accelPressed @0 :Bool;
alwaysOnLateralAllowed @1 :Bool;
alwaysOnLateralEnabled @2 :Bool;
brakeLights @3 :Bool;
dashboardSpeedLimit @4 :Float32;
decelPressed @5 :Bool;
distancePressed @6 :Bool;
distanceLongPressed @7 :Bool;
distanceVeryLongPressed @8 :Bool;
ecoGear @9 :Bool;
forceCoast @10 :Bool;
pauseLateral @11 :Bool;
pauseLongitudinal @12 :Bool;
sportGear @13 :Bool;
trafficMode @14 :Bool;
}
struct FrogPilotDeviceState @0xf35cc4560bbf6ec2 {
freeSpace @0 :Int16;
usedSpace @1 :Int16;
}
struct FrogPilotNavigation @0xda96579883444c35 {
approachingIntersection @0 :Bool;
approachingTurn @1 :Bool;
navigationSpeedLimit @2 :Float32;
}
struct FrogPilotPlan @0x80ae746ee2596b11 {
accelerationJerk @0 :Float32;
accelerationJerkStock @1 :Float32;
dangerJerk @2 :Float32;
desiredFollowDistance @3 :Int64;
experimentalMode @4 :Bool;
forcingStop @5 :Bool;
forcingStopLength @6 :Float32;
frogpilotEvents @7 :List(Car.CarEvent);
lateralCheck @8 :Bool;
laneWidthLeft @9 :Float32;
laneWidthRight @10 :Float32;
maxAcceleration @11 :Float32;
minAcceleration @12 :Float32;
mtscSpeed @13 :Float32;
redLight @14 :Bool;
roadCurvature @15 :Float32;
slcMapSpeedLimit @16 :Float32;
slcMapboxSpeedLimit @17 :Float32;
slcNextSpeedLimit @18 :Float32;
slcOverridden @19 :Bool;
slcOverriddenSpeed @20 :Float32;
slcSpeedLimit @21 :Float32;
slcSpeedLimitOffset @22 :Float32;
slcSpeedLimitSource @23 :Text;
speedJerk @24 :Float32;
speedJerkStock @25 :Float32;
speedLimitChanged @26 :Bool;
tFollow @27 :Float32;
togglesUpdated @28 :Bool;
unconfirmedSlcSpeedLimit @29 :Float32;
vCruise @30 :Float32;
vtscControllingCurve @31 :Bool;
vtscSpeed @32 :Float32;
}
struct CustomReserved5 @0xa5cd762cd951a455 {
}
struct CustomReserved6 @0xf98d843bfd7004a3 {
}
struct CustomReserved7 @0xb86e6369214c01c8 {
}
struct CustomReserved8 @0xf416ec09499d9d19 {
}
struct CustomReserved9 @0xa1680744031fdb2d {
}
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using Cxx = import "./include/c++.capnp";
$Cxx.namespace("cereal");
@0x80ef1ec4889c2a63;
# legacy.capnp: a home for deprecated structs
struct LogRotate @0x9811e1f38f62f2d1 {
segmentNum @0 :Int32;
path @1 :Text;
}
struct LiveUI @0xc08240f996aefced {
rearViewCam @0 :Bool;
alertText1 @1 :Text;
alertText2 @2 :Text;
awarenessStatus @3 :Float32;
}
struct UiLayoutState @0x88dcce08ad29dda0 {
activeApp @0 :App;
sidebarCollapsed @1 :Bool;
mapEnabled @2 :Bool;
mockEngaged @3 :Bool;
enum App @0x9917470acf94d285 {
home @0;
music @1;
nav @2;
settings @3;
none @4;
}
}
struct OrbslamCorrection @0x8afd33dc9b35e1aa {
correctionMonoTime @0 :UInt64;
prePositionECEF @1 :List(Float64);
postPositionECEF @2 :List(Float64);
prePoseQuatECEF @3 :List(Float32);
postPoseQuatECEF @4 :List(Float32);
numInliers @5 :UInt32;
}
struct EthernetPacket @0xa99a9d5b33cf5859 {
pkt @0 :Data;
ts @1 :Float32;
}
struct CellInfo @0xcff7566681c277ce {
timestamp @0 :UInt64;
repr @1 :Text; # android toString() for now
}
struct WifiScan @0xd4df5a192382ba0b {
bssid @0 :Text;
ssid @1 :Text;
capabilities @2 :Text;
frequency @3 :Int32;
level @4 :Int32;
timestamp @5 :Int64;
centerFreq0 @6 :Int32;
centerFreq1 @7 :Int32;
channelWidth @8 :ChannelWidth;
operatorFriendlyName @9 :Text;
venueName @10 :Text;
is80211mcResponder @11 :Bool;
passpoint @12 :Bool;
distanceCm @13 :Int32;
distanceSdCm @14 :Int32;
enum ChannelWidth @0xcb6a279f015f6b51 {
w20Mhz @0;
w40Mhz @1;
w80Mhz @2;
w160Mhz @3;
w80Plus80Mhz @4;
}
}
struct LiveEventData @0x94b7baa90c5c321e {
name @0 :Text;
value @1 :Int32;
}
struct ModelData @0xb8aad62cffef28a9 {
frameId @0 :UInt32;
frameAge @12 :UInt32;
frameDropPerc @13 :Float32;
timestampEof @9 :UInt64;
modelExecutionTime @14 :Float32;
gpuExecutionTime @16 :Float32;
rawPred @15 :Data;
path @1 :PathData;
leftLane @2 :PathData;
rightLane @3 :PathData;
lead @4 :LeadData;
freePath @6 :List(Float32);
settings @5 :ModelSettings;
leadFuture @7 :LeadData;
speed @8 :List(Float32);
meta @10 :MetaData;
longitudinal @11 :LongitudinalData;
struct PathData @0x8817eeea389e9f08 {
points @0 :List(Float32);
prob @1 :Float32;
std @2 :Float32;
stds @3 :List(Float32);
poly @4 :List(Float32);
validLen @5 :Float32;
}
struct LeadData @0xd1c9bef96d26fa91 {
dist @0 :Float32;
prob @1 :Float32;
std @2 :Float32;
relVel @3 :Float32;
relVelStd @4 :Float32;
relY @5 :Float32;
relYStd @6 :Float32;
relA @7 :Float32;
relAStd @8 :Float32;
}
struct ModelSettings @0xa26e3710efd3e914 {
bigBoxX @0 :UInt16;
bigBoxY @1 :UInt16;
bigBoxWidth @2 :UInt16;
bigBoxHeight @3 :UInt16;
boxProjection @4 :List(Float32);
yuvCorrection @5 :List(Float32);
inputTransform @6 :List(Float32);
}
struct MetaData @0x9744f25fb60f2bf8 {
engagedProb @0 :Float32;
desirePrediction @1 :List(Float32);
brakeDisengageProb @2 :Float32;
gasDisengageProb @3 :Float32;
steerOverrideProb @4 :Float32;
desireState @5 :List(Float32);
}
struct LongitudinalData @0xf98f999c6a071122 {
distances @2 :List(Float32);
speeds @0 :List(Float32);
accelerations @1 :List(Float32);
}
}
struct ECEFPoint @0xc25bbbd524983447 {
x @0 :Float64;
y @1 :Float64;
z @2 :Float64;
}
struct ECEFPointDEPRECATED @0xe10e21168db0c7f7 {
x @0 :Float32;
y @1 :Float32;
z @2 :Float32;
}
struct GPSPlannerPoints @0xab54c59699f8f9f3 {
curPosDEPRECATED @0 :ECEFPointDEPRECATED;
pointsDEPRECATED @1 :List(ECEFPointDEPRECATED);
curPos @6 :ECEFPoint;
points @7 :List(ECEFPoint);
valid @2 :Bool;
trackName @3 :Text;
speedLimit @4 :Float32;
accelTarget @5 :Float32;
}
struct GPSPlannerPlan @0xf5ad1d90cdc1dd6b {
valid @0 :Bool;
poly @1 :List(Float32);
trackName @2 :Text;
speed @3 :Float32;
acceleration @4 :Float32;
pointsDEPRECATED @5 :List(ECEFPointDEPRECATED);
points @6 :List(ECEFPoint);
xLookahead @7 :Float32;
}
struct UiNavigationEvent @0x90c8426c3eaddd3b {
type @0: Type;
status @1: Status;
distanceTo @2: Float32;
endRoadPointDEPRECATED @3: ECEFPointDEPRECATED;
endRoadPoint @4: ECEFPoint;
enum Type @0xe8db07dcf8fcea05 {
none @0;
laneChangeLeft @1;
laneChangeRight @2;
mergeLeft @3;
mergeRight @4;
turnLeft @5;
turnRight @6;
}
enum Status @0xb9aa88c75ef99a1f {
none @0;
passive @1;
approaching @2;
active @3;
}
}
struct LiveLocationData @0xb99b2bc7a57e8128 {
status @0 :UInt8;
# 3D fix
lat @1 :Float64;
lon @2 :Float64;
alt @3 :Float32; # m
# speed
speed @4 :Float32; # m/s
# NED velocity components
vNED @5 :List(Float32);
# roll, pitch, heading (x,y,z)
roll @6 :Float32; # WRT to center of earth?
pitch @7 :Float32; # WRT to center of earth?
heading @8 :Float32; # WRT to north?
# what are these?
wanderAngle @9 :Float32;
trackAngle @10 :Float32;
# car frame -- https://upload.wikimedia.org/wikipedia/commons/f/f5/RPY_angles_of_cars.png
# gyro, in car frame, deg/s
gyro @11 :List(Float32);
# accel, in car frame, m/s^2
accel @12 :List(Float32);
accuracy @13 :Accuracy;
source @14 :SensorSource;
# if we are fixing a location in the past
fixMonoTime @15 :UInt64;
gpsWeek @16 :Int32;
timeOfWeek @17 :Float64;
positionECEF @18 :List(Float64);
poseQuatECEF @19 :List(Float32);
pitchCalibration @20 :Float32;
yawCalibration @21 :Float32;
imuFrame @22 :List(Float32);
struct Accuracy @0x943dc4625473b03f {
pNEDError @0 :List(Float32);
vNEDError @1 :List(Float32);
rollError @2 :Float32;
pitchError @3 :Float32;
headingError @4 :Float32;
ellipsoidSemiMajorError @5 :Float32;
ellipsoidSemiMinorError @6 :Float32;
ellipsoidOrientationError @7 :Float32;
}
enum SensorSource @0xc871d3cc252af657 {
applanix @0;
kalman @1;
orbslam @2;
timing @3;
dummy @4;
}
}
struct OrbOdometry @0xd7700859ed1f5b76 {
# timing first
startMonoTime @0 :UInt64;
endMonoTime @1 :UInt64;
# fundamental matrix and error
f @2: List(Float64);
err @3: Float64;
# number of inlier points
inliers @4: Int32;
# for debug only
# indexed by endMonoTime features
# value is startMonoTime feature match
# -1 if no match
matches @5: List(Int16);
}
struct OrbFeatures @0xcd60164a8a0159ef {
timestampEof @0 :UInt64;
# transposed arrays of normalized image coordinates
# len(xs) == len(ys) == len(descriptors) * 32
xs @1 :List(Float32);
ys @2 :List(Float32);
descriptors @3 :Data;
octaves @4 :List(Int8);
# match index to last OrbFeatures
# -1 if no match
timestampLastEof @5 :UInt64;
matches @6: List(Int16);
}
struct OrbFeaturesSummary @0xd500d30c5803fa4f {
timestampEof @0 :UInt64;
timestampLastEof @1 :UInt64;
featureCount @2 :UInt16;
matchCount @3 :UInt16;
computeNs @4 :UInt64;
}
struct OrbKeyFrame @0xc8233c0345e27e24 {
# this is a globally unique id for the KeyFrame
id @0: UInt64;
# this is the location of the KeyFrame
pos @1: ECEFPoint;
# these are the features in the world
# len(dpos) == len(descriptors) * 32
dpos @2 :List(ECEFPoint);
descriptors @3 :Data;
}
struct KalmanOdometry @0x92e21bb7ea38793a {
trans @0 :List(Float32); # m/s in device frame
rot @1 :List(Float32); # rad/s in device frame
transStd @2 :List(Float32); # std m/s in device frame
rotStd @3 :List(Float32); # std rad/s in device frame
}
struct OrbObservation @0x9b326d4e436afec7 {
observationMonoTime @0 :UInt64;
normalizedCoordinates @1 :List(Float32);
locationECEF @2 :List(Float64);
matchDistance @3: UInt32;
}
struct CalibrationFeatures @0x8fdfadb254ea867a {
frameId @0 :UInt32;
p0 @1 :List(Float32);
p1 @2 :List(Float32);
status @3 :List(Int8);
}
struct NavStatus @0xbd8822120928120c {
isNavigating @0 :Bool;
currentAddress @1 :Address;
struct Address @0xce7cd672cacc7814 {
title @0 :Text;
lat @1 :Float64;
lng @2 :Float64;
house @3 :Text;
address @4 :Text;
street @5 :Text;
city @6 :Text;
state @7 :Text;
country @8 :Text;
}
}
struct NavUpdate @0xdb98be6565516acb {
isNavigating @0 :Bool;
curSegment @1 :Int32;
segments @2 :List(Segment);
struct LatLng @0x9eaef9187cadbb9b {
lat @0 :Float64;
lng @1 :Float64;
}
struct Segment @0xa5b39b4fc4d7da3f {
from @0 :LatLng;
to @1 :LatLng;
updateTime @2 :Int32;
distance @3 :Int32;
crossTime @4 :Int32;
exitNo @5 :Int32;
instruction @6 :Instruction;
parts @7 :List(LatLng);
enum Instruction @0xc5417a637451246f {
turnLeft @0;
turnRight @1;
keepLeft @2;
keepRight @3;
straight @4;
roundaboutExitNumber @5;
roundaboutExit @6;
roundaboutTurnLeft @7;
unkn8 @8;
roundaboutStraight @9;
unkn10 @10;
roundaboutTurnRight @11;
unkn12 @12;
roundaboutUturn @13;
unkn14 @14;
arrive @15;
exitLeft @16;
exitRight @17;
unkn18 @18;
uturn @19;
# ...
}
}
}
struct TrafficEvent @0xacfa74a094e62626 {
type @0 :Type;
distance @1 :Float32;
action @2 :Action;
resuming @3 :Bool;
enum Type @0xd85d75253435bf4b {
stopSign @0;
lightRed @1;
lightYellow @2;
lightGreen @3;
stopLight @4;
}
enum Action @0xa6f6ce72165ccb49 {
none @0;
yield @1;
stop @2;
resumeReady @3;
}
}
struct AndroidGnss @0xdfdf30d03fc485bd {
union {
measurements @0 :Measurements;
navigationMessage @1 :NavigationMessage;
}
struct Measurements @0xa20710d4f428d6cd {
clock @0 :Clock;
measurements @1 :List(Measurement);
struct Clock @0xa0e27b453a38f450 {
timeNanos @0 :Int64;
hardwareClockDiscontinuityCount @1 :Int32;
hasTimeUncertaintyNanos @2 :Bool;
timeUncertaintyNanos @3 :Float64;
hasLeapSecond @4 :Bool;
leapSecond @5 :Int32;
hasFullBiasNanos @6 :Bool;
fullBiasNanos @7 :Int64;
hasBiasNanos @8 :Bool;
biasNanos @9 :Float64;
hasBiasUncertaintyNanos @10 :Bool;
biasUncertaintyNanos @11 :Float64;
hasDriftNanosPerSecond @12 :Bool;
driftNanosPerSecond @13 :Float64;
hasDriftUncertaintyNanosPerSecond @14 :Bool;
driftUncertaintyNanosPerSecond @15 :Float64;
}
struct Measurement @0xd949bf717d77614d {
svId @0 :Int32;
constellation @1 :Constellation;
timeOffsetNanos @2 :Float64;
state @3 :Int32;
receivedSvTimeNanos @4 :Int64;
receivedSvTimeUncertaintyNanos @5 :Int64;
cn0DbHz @6 :Float64;
pseudorangeRateMetersPerSecond @7 :Float64;
pseudorangeRateUncertaintyMetersPerSecond @8 :Float64;
accumulatedDeltaRangeState @9 :Int32;
accumulatedDeltaRangeMeters @10 :Float64;
accumulatedDeltaRangeUncertaintyMeters @11 :Float64;
hasCarrierFrequencyHz @12 :Bool;
carrierFrequencyHz @13 :Float32;
hasCarrierCycles @14 :Bool;
carrierCycles @15 :Int64;
hasCarrierPhase @16 :Bool;
carrierPhase @17 :Float64;
hasCarrierPhaseUncertainty @18 :Bool;
carrierPhaseUncertainty @19 :Float64;
hasSnrInDb @20 :Bool;
snrInDb @21 :Float64;
multipathIndicator @22 :MultipathIndicator;
enum Constellation @0x9ef1f3ff0deb5ffb {
unknown @0;
gps @1;
sbas @2;
glonass @3;
qzss @4;
beidou @5;
galileo @6;
}
enum State @0xcbb9490adce12d72 {
unknown @0;
codeLock @1;
bitSync @2;
subframeSync @3;
towDecoded @4;
msecAmbiguous @5;
symbolSync @6;
gloStringSync @7;
gloTodDecoded @8;
bdsD2BitSync @9;
bdsD2SubframeSync @10;
galE1bcCodeLock @11;
galE1c2ndCodeLock @12;
galE1bPageSync @13;
sbasSync @14;
}
enum MultipathIndicator @0xc04e7b6231d4caa8 {
unknown @0;
detected @1;
notDetected @2;
}
}
}
struct NavigationMessage @0xe2517b083095fd4e {
type @0 :Int32;
svId @1 :Int32;
messageId @2 :Int32;
submessageId @3 :Int32;
data @4 :Data;
status @5 :Status;
enum Status @0xec1ff7996b35366f {
unknown @0;
parityPassed @1;
parityRebuilt @2;
}
}
}
struct LidarPts @0xe3d6685d4e9d8f7a {
r @0 :List(UInt16); # uint16 m*500.0
theta @1 :List(UInt16); # uint16 deg*100.0
reflect @2 :List(UInt8); # uint8 0-255
# For storing out of file.
idx @3 :UInt64;
# For storing in file
pkt @4 :Data;
}
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@@ -0,0 +1,49 @@
using Cxx = import "./include/c++.capnp";
$Cxx.namespace("cereal");
@0xa086df597ef5d7a0;
# Geometry
struct Point {
x @0: Float64;
y @1: Float64;
z @2: Float64;
}
struct PolyLine {
points @0: List(Point);
}
# Map features
struct Lane {
id @0 :Text;
leftBoundary @1 :LaneBoundary;
rightBoundary @2 :LaneBoundary;
leftAdjacentId @3 :Text;
rightAdjacentId @4 :Text;
inboundIds @5 :List(Text);
outboundIds @6 :List(Text);
struct LaneBoundary {
polyLine @0 :PolyLine;
startHeading @1 :Float32; # WRT north
}
}
# Map tiles
struct TileSummary {
version @0 :Text;
updatedAt @1 :UInt64; # Millis since epoch
level @2 :UInt8;
x @3 :UInt16;
y @4 :UInt16;
}
struct MapTile {
summary @0 :TileSummary;
lanes @1 :List(Lane);
}
+10
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@@ -0,0 +1,10 @@
demo
bridge
test_runner
*.o
*.os
*.d
*.a
*.so
messaging_pyx.cpp
build/
+252
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# must be built with scons
from msgq.ipc_pyx import Context, Poller, SubSocket, PubSocket, SocketEventHandle, toggle_fake_events, \
set_fake_prefix, get_fake_prefix, delete_fake_prefix, wait_for_one_event
from msgq.ipc_pyx import MultiplePublishersError, IpcError
from msgq import fake_event_handle, pub_sock, sub_sock, drain_sock_raw, context
import os
import capnp
import time
from typing import Optional, List, Union, Dict, Deque
from collections import deque
from cereal import log
from cereal.services import SERVICE_LIST
NO_TRAVERSAL_LIMIT = 2**64-1
def log_from_bytes(dat: bytes) -> capnp.lib.capnp._DynamicStructReader:
with log.Event.from_bytes(dat, traversal_limit_in_words=NO_TRAVERSAL_LIMIT) as msg:
return msg
def new_message(service: Optional[str], size: Optional[int] = None, **kwargs) -> capnp.lib.capnp._DynamicStructBuilder:
args = {
'valid': False,
'logMonoTime': int(time.monotonic() * 1e9),
**kwargs
}
dat = log.Event.new_message(**args)
if service is not None:
if size is None:
dat.init(service)
else:
dat.init(service, size)
return dat
def drain_sock(sock: SubSocket, wait_for_one: bool = False) -> List[capnp.lib.capnp._DynamicStructReader]:
"""Receive all message currently available on the queue"""
msgs = drain_sock_raw(sock, wait_for_one=wait_for_one)
return [log_from_bytes(m) for m in msgs]
# TODO: print when we drop packets?
def recv_sock(sock: SubSocket, wait: bool = False) -> Optional[capnp.lib.capnp._DynamicStructReader]:
"""Same as drain sock, but only returns latest message. Consider using conflate instead."""
dat = None
while 1:
if wait and dat is None:
recv = sock.receive()
else:
recv = sock.receive(non_blocking=True)
if recv is None: # Timeout hit
break
dat = recv
if dat is not None:
dat = log_from_bytes(dat)
return dat
def recv_one(sock: SubSocket) -> Optional[capnp.lib.capnp._DynamicStructReader]:
dat = sock.receive()
if dat is not None:
dat = log_from_bytes(dat)
return dat
def recv_one_or_none(sock: SubSocket) -> Optional[capnp.lib.capnp._DynamicStructReader]:
dat = sock.receive(non_blocking=True)
if dat is not None:
dat = log_from_bytes(dat)
return dat
def recv_one_retry(sock: SubSocket) -> capnp.lib.capnp._DynamicStructReader:
"""Keep receiving until we get a message"""
while True:
dat = sock.receive()
if dat is not None:
return log_from_bytes(dat)
class SubMaster:
def __init__(self, services: List[str], poll: Optional[str] = None,
ignore_alive: Optional[List[str]] = None, ignore_avg_freq: Optional[List[str]] = None,
ignore_valid: Optional[List[str]] = None, addr: str = "127.0.0.1", frequency: Optional[float] = None):
self.frame = -1
self.seen = {s: False for s in services}
self.updated = {s: False for s in services}
self.recv_time = {s: 0. for s in services}
self.recv_frame = {s: 0 for s in services}
self.alive = {s: False for s in services}
self.freq_ok = {s: False for s in services}
self.recv_dts: Dict[str, Deque[float]] = {}
self.sock = {}
self.data = {}
self.valid = {}
self.logMonoTime = {}
self.max_freq = {}
self.min_freq = {}
self.poller = Poller()
polled_services = set([poll, ] if poll is not None else services)
self.non_polled_services = set(services) - polled_services
self.ignore_average_freq = [] if ignore_avg_freq is None else ignore_avg_freq
self.ignore_alive = [] if ignore_alive is None else ignore_alive
self.ignore_valid = [] if ignore_valid is None else ignore_valid
self.simulation = bool(int(os.getenv("SIMULATION", "0")))
# if freq and poll aren't specified, assume the max to be conservative
assert frequency is None or poll is None, "Do not specify 'frequency' - frequency of the polled service will be used."
self.update_freq = frequency or max([SERVICE_LIST[s].frequency for s in polled_services])
for s in services:
p = self.poller if s not in self.non_polled_services else None
self.sock[s] = sub_sock(s, poller=p, addr=addr, conflate=True)
try:
data = new_message(s)
except capnp.lib.capnp.KjException:
data = new_message(s, 0) # lists
self.data[s] = getattr(data.as_reader(), s)
self.logMonoTime[s] = 0
self.valid[s] = True # FIXME: this should default to False
freq = max(min([SERVICE_LIST[s].frequency, self.update_freq]), 1.)
if s == poll:
max_freq = freq
min_freq = freq
else:
max_freq = min(freq, self.update_freq)
if SERVICE_LIST[s].frequency >= 2*self.update_freq:
min_freq = self.update_freq
elif self.update_freq >= 2*SERVICE_LIST[s].frequency:
min_freq = freq
else:
min_freq = min(freq, freq / 2.)
self.max_freq[s] = max_freq*1.2
self.min_freq[s] = min_freq*0.8
self.recv_dts[s] = deque(maxlen=int(10*freq))
def __getitem__(self, s: str) -> capnp.lib.capnp._DynamicStructReader:
return self.data[s]
def _check_avg_freq(self, s: str) -> bool:
return SERVICE_LIST[s].frequency > 0.99 and (s not in self.ignore_average_freq) and (s not in self.ignore_alive)
def update(self, timeout: int = 100) -> None:
msgs = []
for sock in self.poller.poll(timeout):
msgs.append(recv_one_or_none(sock))
# non-blocking receive for non-polled sockets
for s in self.non_polled_services:
msgs.append(recv_one_or_none(self.sock[s]))
self.update_msgs(time.monotonic(), msgs)
def update_msgs(self, cur_time: float, msgs: List[capnp.lib.capnp._DynamicStructReader]) -> None:
self.frame += 1
self.updated = dict.fromkeys(self.updated, False)
for msg in msgs:
if msg is None:
continue
s = msg.which()
self.seen[s] = True
self.updated[s] = True
if self.recv_time[s] > 1e-5:
self.recv_dts[s].append(cur_time - self.recv_time[s])
self.recv_time[s] = cur_time
self.recv_frame[s] = self.frame
self.data[s] = getattr(msg, s)
self.logMonoTime[s] = msg.logMonoTime
self.valid[s] = msg.valid
for s in self.data:
if SERVICE_LIST[s].frequency > 1e-5 and not self.simulation:
# alive if delay is within 10x the expected frequency
self.alive[s] = (cur_time - self.recv_time[s]) < (10. / SERVICE_LIST[s].frequency)
# check average frequency; slow to fall, quick to recover
dts = self.recv_dts[s]
assert dts.maxlen is not None
recent_dts = list(dts)[-int(dts.maxlen / 10):]
try:
avg_freq = 1 / (sum(dts) / len(dts))
avg_freq_recent = 1 / (sum(recent_dts) / len(recent_dts))
except ZeroDivisionError:
avg_freq = 0
avg_freq_recent = 0
avg_freq_ok = self.min_freq[s] <= avg_freq <= self.max_freq[s]
recent_freq_ok = self.min_freq[s] <= avg_freq_recent <= self.max_freq[s]
self.freq_ok[s] = avg_freq_ok or recent_freq_ok
else:
self.freq_ok[s] = True
if self.simulation:
self.alive[s] = self.seen[s] # alive is defined as seen when simulation flag set
else:
self.alive[s] = True
def all_alive(self, service_list: Optional[List[str]] = None) -> bool:
if service_list is None:
service_list = list(self.sock.keys())
return all(self.alive[s] for s in service_list if s not in self.ignore_alive)
def all_freq_ok(self, service_list: Optional[List[str]] = None) -> bool:
if service_list is None:
service_list = list(self.sock.keys())
return all(self.freq_ok[s] for s in service_list if self._check_avg_freq(s))
def all_valid(self, service_list: Optional[List[str]] = None) -> bool:
if service_list is None:
service_list = list(self.sock.keys())
return all(self.valid[s] for s in service_list if s not in self.ignore_valid)
def all_checks(self, service_list: Optional[List[str]] = None) -> bool:
return self.all_alive(service_list) and self.all_freq_ok(service_list) and self.all_valid(service_list)
class PubMaster:
def __init__(self, services: List[str]):
self.sock = {}
for s in services:
self.sock[s] = pub_sock(s)
def send(self, s: str, dat: Union[bytes, capnp.lib.capnp._DynamicStructBuilder]) -> None:
if not isinstance(dat, bytes):
dat = dat.to_bytes()
self.sock[s].send(dat)
def wait_for_readers_to_update(self, s: str, timeout: int, dt: float = 0.05) -> bool:
for _ in range(int(timeout*(1./dt))):
if self.sock[s].all_readers_updated():
return True
time.sleep(dt)
return False
def all_readers_updated(self, s: str) -> bool:
return self.sock[s].all_readers_updated() # type: ignore
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#!/usr/bin/env python3
from typing import Optional
class Service:
def __init__(self, should_log: bool, frequency: float, decimation: Optional[int] = None):
self.should_log = should_log
self.frequency = frequency
self.decimation = decimation
_services: dict[str, tuple] = {
# service: (should_log, frequency, qlog decimation (optional))
# note: the "EncodeIdx" packets will still be in the log
"gyroscope": (True, 104., 104),
"gyroscope2": (True, 100., 100),
"accelerometer": (True, 104., 104),
"accelerometer2": (True, 100., 100),
"magnetometer": (True, 25., 25),
"lightSensor": (True, 100., 100),
"temperatureSensor": (True, 2., 200),
"temperatureSensor2": (True, 2., 200),
"gpsNMEA": (True, 9.),
"deviceState": (True, 2., 1),
"can": (True, 100., 1223), # decimation gives ~5 msgs in a full segment
"controlsState": (True, 100., 10),
"pandaStates": (True, 10., 1),
"peripheralState": (True, 2., 1),
"radarState": (True, 20., 5),
"roadEncodeIdx": (False, 20., 1),
"liveTracks": (True, 20.),
"sendcan": (True, 100., 139),
"logMessage": (True, 0.),
"errorLogMessage": (True, 0., 1),
"liveCalibration": (True, 4., 4),
"liveTorqueParameters": (True, 4., 1),
"androidLog": (True, 0.),
"carState": (True, 100., 10),
"carControl": (True, 100., 10),
"carOutput": (True, 100., 10),
"longitudinalPlan": (True, 20., 5),
"procLog": (True, 0.5, 15),
"gpsLocationExternal": (True, 10., 10),
"gpsLocation": (True, 1., 1),
"ubloxGnss": (True, 10.),
"qcomGnss": (True, 2.),
"gnssMeasurements": (True, 10., 10),
"clocks": (True, 0.1, 1),
"ubloxRaw": (True, 20.),
"liveLocationKalman": (True, 20., 5),
"liveParameters": (True, 20., 5),
"cameraOdometry": (True, 20., 5),
"thumbnail": (True, 0.2, 1),
"onroadEvents": (True, 1., 1),
"carParams": (True, 0.02, 1),
"roadCameraState": (True, 20., 20),
"driverCameraState": (True, 20., 20),
"driverEncodeIdx": (False, 20., 1),
"driverStateV2": (True, 20., 10),
"driverMonitoringState": (True, 20., 10),
"wideRoadEncodeIdx": (False, 20., 1),
"wideRoadCameraState": (True, 20., 20),
"drivingModelData": (True, 20., 10),
"modelV2": (True, 20., 40),
"managerState": (True, 2., 1),
"uploaderState": (True, 0., 1),
"navInstruction": (True, 1., 10),
"navRoute": (True, 0.),
"navThumbnail": (True, 0.),
"navModel": (True, 2., 4.),
"mapRenderState": (True, 2., 1.),
"uiPlan": (True, 20., 40.),
"qRoadEncodeIdx": (False, 20.),
"userFlag": (True, 0., 1),
"microphone": (True, 10., 10),
# debug
"uiDebug": (True, 0., 1),
"testJoystick": (True, 0.),
"roadEncodeData": (False, 20.),
"driverEncodeData": (False, 20.),
"wideRoadEncodeData": (False, 20.),
"qRoadEncodeData": (False, 20.),
"livestreamWideRoadEncodeIdx": (False, 20.),
"livestreamRoadEncodeIdx": (False, 20.),
"livestreamDriverEncodeIdx": (False, 20.),
"livestreamWideRoadEncodeData": (False, 20.),
"livestreamRoadEncodeData": (False, 20.),
"livestreamDriverEncodeData": (False, 20.),
"customReservedRawData0": (True, 0.),
"customReservedRawData1": (True, 0.),
"customReservedRawData2": (True, 0.),
# FrogPilot
"frogpilotCarParams": (True, 0.02, 1),
"frogpilotCarState": (True, 100., 10),
"frogpilotDeviceState": (True, 2., 1),
"frogpilotNavigation": (True, 1., 10),
"frogpilotPlan": (True, 20., 5),
}
SERVICE_LIST = {name: Service(*vals) for
idx, (name, vals) in enumerate(_services.items())}
def build_header():
h = ""
h += "/* THIS IS AN AUTOGENERATED FILE, PLEASE EDIT services.py */\n"
h += "#ifndef __SERVICES_H\n"
h += "#define __SERVICES_H\n"
h += "#include <map>\n"
h += "#include <string>\n"
h += "struct service { std::string name; bool should_log; int frequency; int decimation; };\n"
h += "static std::map<std::string, service> services = {\n"
for k, v in SERVICE_LIST.items():
should_log = "true" if v.should_log else "false"
decimation = -1 if v.decimation is None else v.decimation
h += ' { "%s", {"%s", %s, %d, %d}},\n' % \
(k, k, should_log, v.frequency, decimation)
h += "};\n"
h += "#endif\n"
return h
if __name__ == "__main__":
print(build_header())
-6
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@@ -1,6 +0,0 @@
Import('env')
# parser
env.Command(['common_pyx.so'],
['common_pyx_setup.py', 'clock.pyx'],
"cd common && python3 common_pyx_setup.py build_ext --inplace")
-130
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@@ -1,130 +0,0 @@
import os
import binascii
import itertools
import re
import struct
import subprocess
import random
from cereal import log
NetworkType = log.ThermalData.NetworkType
ANDROID = os.path.isfile('/EON')
def getprop(key):
if not ANDROID:
return ""
return subprocess.check_output(["getprop", key], encoding='utf8').strip()
def get_imei(slot):
slot = str(slot)
if slot not in ("0", "1"):
raise ValueError("SIM slot must be 0 or 1")
ret = parse_service_call_string(service_call(["iphonesubinfo", "3" ,"i32", str(slot)]))
if not ret:
# allow non android to be identified differently
ret = "%015d" % random.randint(0, 1<<32)
return ret
def get_serial():
ret = getprop("ro.serialno")
if ret == "":
ret = "cccccccc"
return ret
def get_subscriber_info():
ret = parse_service_call_string(service_call(["iphonesubinfo", "7"]))
if ret is None or len(ret) < 8:
return ""
return ret
def reboot(reason=None):
if reason is None:
reason_args = ["null"]
else:
reason_args = ["s16", reason]
subprocess.check_output([
"service", "call", "power", "16", # IPowerManager.reboot
"i32", "0", # no confirmation,
*reason_args,
"i32", "1" # wait
])
def service_call(call):
if not ANDROID:
return None
ret = subprocess.check_output(["service", "call", *call], encoding='utf8').strip()
if 'Parcel' not in ret:
return None
return parse_service_call_bytes(ret)
def parse_service_call_unpack(r, fmt):
try:
return struct.unpack(fmt, r)[0]
except Exception:
return None
def parse_service_call_string(r):
try:
r = r[8:] # Cut off length field
r = r.decode('utf_16_be')
# All pairs of two characters seem to be swapped. Not sure why
result = ""
for a, b, in itertools.zip_longest(r[::2], r[1::2], fillvalue='\x00'):
result += b + a
result = result.replace('\x00', '')
return result
except Exception:
return None
def parse_service_call_bytes(ret):
try:
r = b""
for hex_part in re.findall(r'[ (]([0-9a-f]{8})', ret):
r += binascii.unhexlify(hex_part)
return r
except Exception:
return None
def get_network_type():
if not ANDROID:
return NetworkType.none
wifi_check = parse_service_call_string(service_call(["connectivity", "2"]))
if wifi_check is None:
return NetworkType.none
elif 'WIFI' in wifi_check:
return NetworkType.wifi
else:
cell_check = parse_service_call_unpack(service_call(['phone', '59']), ">q")
# from TelephonyManager.java
cell_networks = {
0: NetworkType.none,
1: NetworkType.cell2G,
2: NetworkType.cell2G,
3: NetworkType.cell3G,
4: NetworkType.cell2G,
5: NetworkType.cell3G,
6: NetworkType.cell3G,
7: NetworkType.cell3G,
8: NetworkType.cell3G,
9: NetworkType.cell3G,
10: NetworkType.cell3G,
11: NetworkType.cell2G,
12: NetworkType.cell3G,
13: NetworkType.cell4G,
14: NetworkType.cell4G,
15: NetworkType.cell3G,
16: NetworkType.cell2G,
17: NetworkType.cell3G,
18: NetworkType.cell4G,
19: NetworkType.cell4G
}
return cell_networks.get(cell_check, NetworkType.none)
+20 -13
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@@ -1,13 +1,19 @@
import jwt
import os
import requests
from datetime import datetime, timedelta
from common.basedir import PERSIST
from selfdrive.version import version
from openpilot.system.hardware.hw import Paths
from openpilot.system.version import get_version
class Api():
from openpilot.frogpilot.common.frogpilot_utilities import use_konik_server
API_HOST = os.getenv('API_HOST', 'https://api.commadotai.com')
KONIK_API_HOST = os.getenv('API_HOST', 'https://api.konik.ai')
class Api:
def __init__(self, dongle_id):
self.dongle_id = dongle_id
with open(PERSIST+'/comma/id_rsa') as f:
with open(Paths.persist_root()+'/comma/id_rsa') as f:
self.private_key = f.read()
def get(self, *args, **kwargs):
@@ -19,24 +25,25 @@ class Api():
def request(self, method, endpoint, timeout=None, access_token=None, **params):
return api_get(endpoint, method=method, timeout=timeout, access_token=access_token, **params)
def get_token(self):
def get_token(self, expiry_hours=1):
now = datetime.utcnow()
payload = {
'identity': self.dongle_id,
'nbf': now,
'iat': now,
'exp': now + timedelta(hours=1)
'exp': now + timedelta(hours=expiry_hours)
}
return jwt.encode(payload, self.private_key, algorithm='RS256').decode('utf8')
token = jwt.encode(payload, self.private_key, algorithm='RS256')
if isinstance(token, bytes):
token = token.decode('utf8')
return token
def api_get(endpoint, method='GET', timeout=None, access_token=None, **params):
backend = "https://api.commadotai.com/"
headers = {}
if access_token is not None:
headers['Authorization'] = "JWT "+access_token
headers['Authorization'] = "JWT " + access_token
headers['User-Agent'] = "openpilot-" + version
return requests.request(method, backend+endpoint, timeout=timeout, headers = headers, params=params)
headers['User-Agent'] = "openpilot-" + get_version()
return requests.request(method, (KONIK_API_HOST if use_konik_server() else API_HOST) + "/" + endpoint, timeout=timeout, headers=headers, params=params)
-99
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@@ -1,99 +0,0 @@
import os
import subprocess
import glob
import hashlib
import shutil
from common.basedir import BASEDIR
from selfdrive.swaglog import cloudlog
android_packages = ("ai.comma.plus.offroad", "ai.comma.plus.frame")
def get_installed_apks():
dat = subprocess.check_output(["pm", "list", "packages", "-f"], encoding='utf8').strip().split("\n")
ret = {}
for x in dat:
if x.startswith("package:"):
v,k = x.split("package:")[1].split("=")
ret[k] = v
return ret
def install_apk(path):
# can only install from world readable path
install_path = "/sdcard/%s" % os.path.basename(path)
shutil.copyfile(path, install_path)
ret = subprocess.call(["pm", "install", "-r", install_path])
os.remove(install_path)
return ret == 0
def start_frame():
set_package_permissions()
system("am start -n ai.comma.plus.frame/.MainActivity")
def set_package_permissions():
pm_grant("ai.comma.plus.offroad", "android.permission.ACCESS_FINE_LOCATION")
pm_grant("ai.comma.plus.offroad", "android.permission.READ_PHONE_STATE")
appops_set("ai.comma.plus.offroad", "SU", "allow")
appops_set("ai.comma.plus.offroad", "WIFI_SCAN", "allow")
appops_set("ai.comma.plus.offroad", "READ_EXTERNAL_STORAGE", "allow")
appops_set("ai.comma.plus.offroad", "WRITE_EXTERNAL_STORAGE", "allow")
def appops_set(package, op, mode):
system(f"LD_LIBRARY_PATH= appops set {package} {op} {mode}")
def pm_grant(package, permission):
system(f"pm grant {package} {permission}")
def system(cmd):
try:
cloudlog.info("running %s" % cmd)
subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True)
except subprocess.CalledProcessError as e:
cloudlog.event("running failed",
cmd=e.cmd,
output=e.output[-1024:],
returncode=e.returncode)
# *** external functions ***
def update_apks():
# install apks
installed = get_installed_apks()
install_apks = glob.glob(os.path.join(BASEDIR, "apk/*.apk"))
for apk in install_apks:
app = os.path.basename(apk)[:-4]
if app not in installed:
installed[app] = None
cloudlog.info("installed apks %s" % (str(installed), ))
for app in installed.keys():
apk_path = os.path.join(BASEDIR, "apk/"+app+".apk")
if not os.path.exists(apk_path):
continue
h1 = hashlib.sha1(open(apk_path, 'rb').read()).hexdigest()
h2 = None
if installed[app] is not None:
h2 = hashlib.sha1(open(installed[app], 'rb').read()).hexdigest()
cloudlog.info("comparing version of %s %s vs %s" % (app, h1, h2))
if h2 is None or h1 != h2:
cloudlog.info("installing %s" % app)
success = install_apk(apk_path)
if not success:
cloudlog.info("needing to uninstall %s" % app)
system("pm uninstall %s" % app)
success = install_apk(apk_path)
assert success
def pm_apply_packages(cmd):
for p in android_packages:
system("pm %s %s" % (cmd, p))
if __name__ == "__main__":
update_apks()
+2 -9
View File
@@ -1,11 +1,4 @@
import os
BASEDIR = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../"))
from common.android import ANDROID
if ANDROID:
PERSIST = "/persist"
PARAMS = "/data/params"
else:
PERSIST = os.path.join(BASEDIR, "persist")
PARAMS = os.path.join(BASEDIR, "persist", "params")
-22
View File
@@ -1,22 +0,0 @@
from posix.time cimport clock_gettime, timespec, CLOCK_MONOTONIC_RAW, clockid_t
IF UNAME_SYSNAME == "Darwin":
# Darwin doesn't have a CLOCK_BOOTTIME
CLOCK_BOOTTIME = CLOCK_MONOTONIC_RAW
ELSE:
from posix.time cimport CLOCK_BOOTTIME
cdef double readclock(clockid_t clock_id):
cdef timespec ts
cdef double current
clock_gettime(clock_id, &ts)
current = ts.tv_sec + (ts.tv_nsec / 1000000000.)
return current
def monotonic_time():
return readclock(CLOCK_MONOTONIC_RAW)
def sec_since_boot():
return readclock(CLOCK_BOOTTIME)
-150
View File
@@ -1,150 +0,0 @@
import os
import numpy as np
import collections
from contextlib import closing
from common.file_helpers import mkdirs_exists_ok
class ColumnStoreReader():
def __init__(self, path, mmap=False, allow_pickle=False, direct_io=False):
if not (path and os.path.isdir(path)):
raise ValueError("Not a column store: {}".format(path))
self._path = os.path.realpath(path)
self._keys = os.listdir(self._path)
self._mmap = mmap
self._allow_pickle = allow_pickle
self._direct_io = direct_io
@property
def path(self):
return self._path
def close(self):
pass
def get(self, key):
try:
return self[key]
except KeyError:
return None
def keys(self):
return list(self._keys)
def iteritems(self):
for k in self:
yield (k, self[k])
def itervalues(self):
for k in self:
yield self[k]
def get_npy_path(self, key):
"""Gets a filesystem path for an npy file containing the specified array,
or none if the column store does not contain key.
"""
if key in self:
return os.path.join(self._path, key)
else:
return None
def __getitem__(self, key):
try:
path = os.path.join(self._path, key)
# TODO(mgraczyk): This implementation will need to change for zip.
if os.path.isdir(path):
return ColumnStoreReader(path)
else:
if self._mmap:
# note that direct i/o does nothing for mmap since file read/write interface is not used
ret = np.load(path, mmap_mode='r', allow_pickle=self._allow_pickle, fix_imports=False)
else:
if self._direct_io:
opener = lambda path, flags: os.open(path, os.O_RDONLY | os.O_DIRECT)
with open(path, 'rb', buffering=0, opener=opener) as f:
ret = np.load(f, allow_pickle=self._allow_pickle, fix_imports=False)
else:
ret = np.load(path, allow_pickle=self._allow_pickle, fix_imports=False)
if type(ret) == np.lib.npyio.NpzFile:
# if it's saved as compressed, it has arr_0 only in the file. deref this
return ret['arr_0']
else:
return ret
except IOError:
raise KeyError(key)
def __contains__(self, item):
try:
self[item]
return True
except KeyError:
return False
def __len__(self):
return len(self._keys)
def __bool__(self):
return bool(self._keys)
def __iter__(self):
return iter(self._keys)
def __str__(self):
return "ColumnStoreReader({})".format(str({k: "..." for k in self._keys}))
def __enter__(self): return self
def __exit__(self, type, value, traceback): self.close()
class ColumnStoreWriter():
def __init__(self, path, allow_pickle=False):
self._path = path
self._allow_pickle = allow_pickle
mkdirs_exists_ok(self._path)
def map_column(self, path, dtype, shape):
npy_path = os.path.join(self._path, path)
mkdirs_exists_ok(os.path.dirname(npy_path))
return np.lib.format.open_memmap(npy_path, mode='w+', dtype=dtype, shape=shape)
def add_column(self, path, data, dtype=None, compression=False, overwrite=False):
npy_path = os.path.join(self._path, path)
mkdirs_exists_ok(os.path.dirname(npy_path))
if overwrite:
f = open(npy_path, "wb")
else:
f = os.fdopen(os.open(npy_path, os.O_WRONLY | os.O_CREAT | os.O_EXCL), "wb")
with closing(f) as f:
data2 = np.array(data, copy=False, dtype=dtype)
if compression:
np.savez_compressed(f, data2)
else:
np.save(f, data2, allow_pickle=self._allow_pickle, fix_imports=False)
def add_group(self, group_name):
# TODO(mgraczyk): This implementation will need to change if we add zip or compression.
return ColumnStoreWriter(os.path.join(self._path, group_name))
def close(self):
pass
def __enter__(self): return self
def __exit__(self, type, value, traceback): self.close()
def _save_dict_as_column_store(values, writer):
for k, v in values.items():
if isinstance(v, collections.Mapping):
_save_dict_as_column_store(v, writer.add_group(k))
else:
writer.add_column(k, v)
def save_dict_as_column_store(values, output_path):
with ColumnStoreWriter(output_path) as writer:
_save_dict_as_column_store(values, writer)
-20
View File
@@ -1,20 +0,0 @@
from distutils.core import Extension, setup # pylint: disable=import-error,no-name-in-module
from Cython.Build import cythonize
from common.cython_hacks import BuildExtWithoutPlatformSuffix
sourcefiles = ['clock.pyx']
extra_compile_args = ["-std=c++11"]
setup(name='Common',
cmdclass={'build_ext': BuildExtWithoutPlatformSuffix},
ext_modules=cythonize(
Extension(
"common_pyx",
language="c++",
sources=sourcefiles,
extra_compile_args=extra_compile_args,
)
),
nthreads=4,
)
-3
View File
@@ -1,3 +0,0 @@
# py2,3 compatiblity helpers
basestring = (str, bytes)
+25
View File
@@ -0,0 +1,25 @@
import numpy as np
class Conversions:
# Speed
MPH_TO_KPH = 1.609344
KPH_TO_MPH = 1. / MPH_TO_KPH
MS_TO_KPH = 3.6
KPH_TO_MS = 1. / MS_TO_KPH
MS_TO_MPH = MS_TO_KPH * KPH_TO_MPH
MPH_TO_MS = MPH_TO_KPH * KPH_TO_MS
MS_TO_KNOTS = 1.9438
KNOTS_TO_MS = 1. / MS_TO_KNOTS
# Distance
METER_TO_FOOT = 3.28084
FOOT_TO_METER = 1. / METER_TO_FOOT
CM_TO_INCH = 1. / 2.54
INCH_TO_CM = 1. / CM_TO_INCH
# Angle
DEG_TO_RAD = np.pi / 180.
RAD_TO_DEG = 1. / DEG_TO_RAD
# Mass
LB_TO_KG = 0.453592
-23
View File
@@ -1,23 +0,0 @@
import os
import sysconfig
from Cython.Distutils import build_ext
def get_ext_filename_without_platform_suffix(filename):
name, ext = os.path.splitext(filename)
ext_suffix = sysconfig.get_config_var('EXT_SUFFIX')
if ext_suffix == ext:
return filename
ext_suffix = ext_suffix.replace(ext, '')
idx = name.find(ext_suffix)
if idx == -1:
return filename
else:
return name[:idx] + ext
class BuildExtWithoutPlatformSuffix(build_ext):
def get_ext_filename(self, ext_name):
filename = super().get_ext_filename(ext_name)
return get_ext_filename_without_platform_suffix(filename)
+9
View File
@@ -0,0 +1,9 @@
# remove all keys that end in DEPRECATED
def strip_deprecated_keys(d):
for k in list(d.keys()):
if isinstance(k, str):
if k.endswith('DEPRECATED'):
d.pop(k)
elif isinstance(d[k], dict):
strip_deprecated_keys(d[k])
return d
+1 -48
View File
@@ -1,55 +1,8 @@
import os
import sys
import fcntl
import hashlib
import platform
from cffi import FFI
def suffix():
if platform.system() == "Darwin":
return ".dylib"
else:
return ".so"
def ffi_wrap(name, c_code, c_header, tmpdir="/tmp/ccache", cflags="", libraries=None):
if libraries is None:
libraries = []
cache = name + "_" + hashlib.sha1(c_code.encode('utf-8')).hexdigest()
try:
os.mkdir(tmpdir)
except OSError:
pass
fd = os.open(tmpdir, 0)
fcntl.flock(fd, fcntl.LOCK_EX)
try:
sys.path.append(tmpdir)
try:
mod = __import__(cache)
except Exception:
print("cache miss {0}".format(cache))
compile_code(cache, c_code, c_header, tmpdir, cflags, libraries)
mod = __import__(cache)
finally:
os.close(fd)
return mod.ffi, mod.lib
def compile_code(name, c_code, c_header, directory, cflags="", libraries=None):
if libraries is None:
libraries = []
ffibuilder = FFI()
ffibuilder.set_source(name, c_code, source_extension='.cpp', libraries=libraries)
ffibuilder.cdef(c_header)
os.environ['OPT'] = "-fwrapv -O2 -DNDEBUG -std=c++11"
os.environ['CFLAGS'] = cflags
ffibuilder.compile(verbose=True, debug=False, tmpdir=directory)
def wrap_compiled(name, directory):
sys.path.append(directory)
mod = __import__(name)
return mod.ffi, mod.lib
+30 -102
View File
@@ -1,109 +1,37 @@
import os
import shutil
import tempfile
from atomicwrites import AtomicWriter
def mkdirs_exists_ok(path):
try:
os.makedirs(path)
except OSError:
if not os.path.isdir(path):
raise
def rm_not_exists_ok(path):
try:
os.remove(path)
except OSError:
if os.path.exists(path):
raise
def rm_tree_or_link(path):
if os.path.islink(path):
os.unlink(path)
elif os.path.isdir(path):
shutil.rmtree(path)
def get_tmpdir_on_same_filesystem(path):
normpath = os.path.normpath(path)
parts = normpath.split("/")
if len(parts) > 1 and parts[1] == "scratch":
return "/scratch/tmp"
elif len(parts) > 2 and parts[2] == "runner":
return "/{}/runner/tmp".format(parts[1])
return "/tmp"
class AutoMoveTempdir():
def __init__(self, target_path, temp_dir=None):
self._target_path = target_path
self._path = tempfile.mkdtemp(dir=temp_dir)
@property
def name(self):
return self._path
def close(self):
os.rename(self._path, self._target_path)
def __enter__(self): return self
def __exit__(self, type, value, traceback):
if type is None:
self.close()
else:
shutil.rmtree(self._path)
class NamedTemporaryDir():
def __init__(self, temp_dir=None):
self._path = tempfile.mkdtemp(dir=temp_dir)
@property
def name(self):
return self._path
def close(self):
shutil.rmtree(self._path)
def __enter__(self): return self
def __exit__(self, type, value, traceback):
self.close()
def _get_fileobject_func(writer, temp_dir):
def _get_fileobject():
file_obj = writer.get_fileobject(dir=temp_dir)
os.chmod(file_obj.name, 0o644)
return file_obj
return _get_fileobject
def atomic_write_on_fs_tmp(path, **kwargs):
"""Creates an atomic writer using a temporary file in a temporary directory
on the same filesystem as path.
"""
# TODO(mgraczyk): This use of AtomicWriter relies on implementation details to set the temp
# directory.
writer = AtomicWriter(path, **kwargs)
return writer._open(_get_fileobject_func(writer, get_tmpdir_on_same_filesystem(path)))
import contextlib
def atomic_write_in_dir(path, **kwargs):
"""Creates an atomic writer using a temporary file in the same directory
as the destination file.
"""
writer = AtomicWriter(path, **kwargs)
return writer._open(_get_fileobject_func(writer, os.path.dirname(path)))
class CallbackReader:
"""Wraps a file, but overrides the read method to also
call a callback function with the number of bytes read so far."""
def __init__(self, f, callback, *args):
self.f = f
self.callback = callback
self.cb_args = args
self.total_read = 0
def atomic_write_in_dir_neos(path, contents, mode=None):
"""
Atomically writes contents to path using a temporary file in the same directory
as path. Useful on NEOS, where `os.link` (required by atomic_write_in_dir) is missing.
"""
def __getattr__(self, attr):
return getattr(self.f, attr)
f = tempfile.NamedTemporaryFile(delete=False, prefix=".tmp", dir=os.path.dirname(path))
f.write(contents)
f.flush()
if mode is not None:
os.fchmod(f.fileno(), mode)
os.fsync(f.fileno())
f.close()
def read(self, *args, **kwargs):
chunk = self.f.read(*args, **kwargs)
self.total_read += len(chunk)
self.callback(*self.cb_args, self.total_read)
return chunk
os.rename(f.name, path)
@contextlib.contextmanager
def atomic_write_in_dir(path: str, mode: str = 'w', buffering: int = -1, encoding: str = None, newline: str = None,
overwrite: bool = False):
"""Write to a file atomically using a temporary file in the same directory as the destination file."""
dir_name = os.path.dirname(path)
if not overwrite and os.path.exists(path):
raise FileExistsError(f"File '{path}' already exists. To overwrite it, set 'overwrite' to True.")
with tempfile.NamedTemporaryFile(mode=mode, buffering=buffering, encoding=encoding, newline=newline, dir=dir_name, delete=False) as tmp_file:
yield tmp_file
tmp_file_name = tmp_file.name
os.replace(tmp_file_name, path)
+14 -6
View File
@@ -1,10 +1,18 @@
class FirstOrderFilter():
class FirstOrderFilter:
# first order filter
def __init__(self, x0, ts, dt):
self.k = (dt / ts) / (1. + dt / ts)
def __init__(self, x0, rc, dt, initialized=True):
self.x = x0
self.dt = dt
self.update_alpha(rc)
self.initialized = initialized
def update_alpha(self, rc):
self.alpha = self.dt / (rc + self.dt)
def update(self, x):
self.x = (1. - self.k) * self.x + self.k * x
if self.initialized:
self.x = (1. - self.alpha) * self.x + self.alpha * x
else:
self.initialized = True
self.x = x
return self.x
-1
View File
@@ -1 +0,0 @@
-24
View File
@@ -1,24 +0,0 @@
import numpy as np
import os
import csv
path = os.path.dirname(os.path.abspath(__file__))
# locally cache cities from
# https://github.com/thampiman/reverse-geocoder
csv_file_name = path + '/rg_cities1000.csv'
# right hand drive is when the steering wheel is on the right of the car
# left hand traffic is when cars driver on the left side of the road
LHT_COUNTRIES = ['AU', 'IN', 'IE', 'JP', 'MU', 'MY', 'NZ', 'UK', 'ZA']
def get_city(lat, lon):
cities = np.array(list(csv.reader(open(csv_file_name))))[1:]
positions = cities[:,:2].astype(np.float32)
idx = np.argmin(np.linalg.norm((positions - np.array([lat, lon])), axis=1))
return cities[idx]
def is_lht(lat, lon):
city = get_city(lat, lon)
country = city[-1]
return country in LHT_COUNTRIES
File diff suppressed because it is too large Load Diff
+42
View File
@@ -0,0 +1,42 @@
from functools import cache
import subprocess
from openpilot.common.run import run_cmd, run_cmd_default
@cache
def get_commit(cwd: str = None, branch: str = "HEAD") -> str:
return run_cmd_default(["git", "rev-parse", branch], cwd=cwd)
@cache
def get_commit_date(cwd: str = None, commit: str = "HEAD") -> str:
return run_cmd_default(["git", "show", "--no-patch", "--format='%ct %ci'", commit], cwd=cwd)
@cache
def get_short_branch(cwd: str = None) -> str:
return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "HEAD"], cwd=cwd)
@cache
def get_branch(cwd: str = None) -> str:
return run_cmd_default(["git", "rev-parse", "--abbrev-ref", "--symbolic-full-name", "@{u}"], cwd=cwd)
@cache
def get_origin(cwd: str = None) -> str:
try:
local_branch = run_cmd(["git", "name-rev", "--name-only", "HEAD"], cwd=cwd)
tracking_remote = run_cmd(["git", "config", "branch." + local_branch + ".remote"], cwd=cwd)
return run_cmd(["git", "config", "remote." + tracking_remote + ".url"], cwd=cwd)
except subprocess.CalledProcessError: # Not on a branch, fallback
return run_cmd_default(["git", "config", "--get", "remote.origin.url"], cwd=cwd)
@cache
def get_normalized_origin(cwd: str = None) -> str:
return get_origin(cwd) \
.replace("git@", "", 1) \
.replace(".git", "", 1) \
.replace("https://", "", 1) \
.replace(":", "/", 1)
+54
View File
@@ -0,0 +1,54 @@
import os
from functools import cache
def gpio_init(pin: int, output: bool) -> None:
try:
with open(f"/sys/class/gpio/gpio{pin}/direction", 'wb') as f:
f.write(b"out" if output else b"in")
except Exception as e:
print(f"Failed to set gpio {pin} direction: {e}")
def gpio_set(pin: int, high: bool) -> None:
try:
with open(f"/sys/class/gpio/gpio{pin}/value", 'wb') as f:
f.write(b"1" if high else b"0")
except Exception as e:
print(f"Failed to set gpio {pin} value: {e}")
def gpio_read(pin: int) -> bool | None:
val = None
try:
with open(f"/sys/class/gpio/gpio{pin}/value", 'rb') as f:
val = bool(int(f.read().strip()))
except Exception as e:
print(f"Failed to set gpio {pin} value: {e}")
return val
def gpio_export(pin: int) -> None:
if os.path.isdir(f"/sys/class/gpio/gpio{pin}"):
return
try:
with open("/sys/class/gpio/export", 'w') as f:
f.write(str(pin))
except Exception:
print(f"Failed to export gpio {pin}")
@cache
def get_irq_action(irq: int) -> list[str]:
try:
with open(f"/sys/kernel/irq/{irq}/actions") as f:
actions = f.read().strip().split(',')
return actions
except FileNotFoundError:
return []
def get_irqs_for_action(action: str) -> list[str]:
ret = []
with open("/proc/interrupts") as f:
for l in f.readlines():
irq = l.split(':')[0].strip()
if irq.isdigit() and action in get_irq_action(irq):
ret.append(irq)
return ret
-1
View File
@@ -1 +0,0 @@
simple_kalman_impl.c
-6
View File
@@ -1,6 +0,0 @@
Import('env')
env.Command(['simple_kalman_impl.so'],
['simple_kalman_impl.pyx', 'simple_kalman_impl.pxd', 'simple_kalman_setup.py'],
"cd common/kalman && python3 simple_kalman_setup.py build_ext --inplace")
-3
View File
@@ -1,3 +0,0 @@
# pylint: skip-file
from common.kalman.simple_kalman_impl import KF1D as KF1D
assert KF1D
-16
View File
@@ -1,16 +0,0 @@
cdef class KF1D:
cdef public:
double x0_0
double x1_0
double K0_0
double K1_0
double A0_0
double A0_1
double A1_0
double A1_1
double C0_0
double C0_1
double A_K_0
double A_K_1
double A_K_2
double A_K_3
-36
View File
@@ -1,36 +0,0 @@
# cython: language_level=3
cdef class KF1D:
def __init__(self, x0, A, C, K):
self.x0_0 = x0[0][0]
self.x1_0 = x0[1][0]
self.A0_0 = A[0][0]
self.A0_1 = A[0][1]
self.A1_0 = A[1][0]
self.A1_1 = A[1][1]
self.C0_0 = C[0]
self.C0_1 = C[1]
self.K0_0 = K[0][0]
self.K1_0 = K[1][0]
self.A_K_0 = self.A0_0 - self.K0_0 * self.C0_0
self.A_K_1 = self.A0_1 - self.K0_0 * self.C0_1
self.A_K_2 = self.A1_0 - self.K1_0 * self.C0_0
self.A_K_3 = self.A1_1 - self.K1_0 * self.C0_1
def update(self, meas):
cdef double x0_0 = self.A_K_0 * self.x0_0 + self.A_K_1 * self.x1_0 + self.K0_0 * meas
cdef double x1_0 = self.A_K_2 * self.x0_0 + self.A_K_3 * self.x1_0 + self.K1_0 * meas
self.x0_0 = x0_0
self.x1_0 = x1_0
return [self.x0_0, self.x1_0]
@property
def x(self):
return [[self.x0_0], [self.x1_0]]
@x.setter
def x(self, x):
self.x0_0 = x[0][0]
self.x1_0 = x[1][0]
-23
View File
@@ -1,23 +0,0 @@
import numpy as np
class KF1D:
# this EKF assumes constant covariance matrix, so calculations are much simpler
# the Kalman gain also needs to be precomputed using the control module
def __init__(self, x0, A, C, K):
self.x = x0
self.A = A
self.C = C
self.K = K
self.A_K = self.A - np.dot(self.K, self.C)
# K matrix needs to be pre-computed as follow:
# import control
# (x, l, K) = control.dare(np.transpose(self.A), np.transpose(self.C), Q, R)
# self.K = np.transpose(K)
def update(self, meas):
self.x = np.dot(self.A_K, self.x) + np.dot(self.K, meas)
return self.x
-9
View File
@@ -1,9 +0,0 @@
from distutils.core import Extension, setup
from Cython.Build import cythonize
from common.cython_hacks import BuildExtWithoutPlatformSuffix
setup(name='Simple Kalman Implementation',
cmdclass={'build_ext': BuildExtWithoutPlatformSuffix},
ext_modules=cythonize(Extension("simple_kalman_impl", ["simple_kalman_impl.pyx"])))
-85
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@@ -1,85 +0,0 @@
import unittest
import random
import timeit
import numpy as np
from common.kalman.simple_kalman import KF1D
from common.kalman.simple_kalman_old import KF1D as KF1D_old
class TestSimpleKalman(unittest.TestCase):
def setUp(self):
dt = 0.01
x0_0 = 0.0
x1_0 = 0.0
A0_0 = 1.0
A0_1 = dt
A1_0 = 0.0
A1_1 = 1.0
C0_0 = 1.0
C0_1 = 0.0
K0_0 = 0.12287673
K1_0 = 0.29666309
self.kf_old = KF1D_old(x0=np.matrix([[x0_0], [x1_0]]),
A=np.matrix([[A0_0, A0_1], [A1_0, A1_1]]),
C=np.matrix([C0_0, C0_1]),
K=np.matrix([[K0_0], [K1_0]]))
self.kf = KF1D(x0=[[x0_0], [x1_0]],
A=[[A0_0, A0_1], [A1_0, A1_1]],
C=[C0_0, C0_1],
K=[[K0_0], [K1_0]])
def test_getter_setter(self):
self.kf.x = [[1.0], [1.0]]
self.assertEqual(self.kf.x, [[1.0], [1.0]])
def update_returns_state(self):
x = self.kf.update(100)
self.assertEqual(x, self.kf.x)
def test_old_equal_new(self):
for _ in range(1000):
v_wheel = random.uniform(0, 200)
x_old = self.kf_old.update(v_wheel)
x = self.kf.update(v_wheel)
# Compare the output x, verify that the error is less than 1e-4
self.assertAlmostEqual(x_old[0], x[0])
self.assertAlmostEqual(x_old[1], x[1])
def test_new_is_faster(self):
setup = """
import numpy as np
from common.kalman.simple_kalman import KF1D
from common.kalman.simple_kalman_old import KF1D as KF1D_old
dt = 0.01
x0_0 = 0.0
x1_0 = 0.0
A0_0 = 1.0
A0_1 = dt
A1_0 = 0.0
A1_1 = 1.0
C0_0 = 1.0
C0_1 = 0.0
K0_0 = 0.12287673
K1_0 = 0.29666309
kf_old = KF1D_old(x0=np.matrix([[x0_0], [x1_0]]),
A=np.matrix([[A0_0, A0_1], [A1_0, A1_1]]),
C=np.matrix([C0_0, C0_1]),
K=np.matrix([[K0_0], [K1_0]]))
kf = KF1D(x0=[[x0_0], [x1_0]],
A=[[A0_0, A0_1], [A1_0, A1_1]],
C=[C0_0, C0_1],
K=[[K0_0], [K1_0]])
"""
kf_speed = timeit.timeit("kf.update(1234)", setup=setup, number=10000)
kf_old_speed = timeit.timeit("kf_old.update(1234)", setup=setup, number=10000)
self.assertTrue(kf_speed < kf_old_speed / 4)
-12
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@@ -1,12 +0,0 @@
class lazy_property():
"""Defines a property whose value will be computed only once and as needed.
This can only be used on instance methods.
"""
def __init__(self, func):
self._func = func
def __get__(self, obj_self, cls):
value = self._func(obj_self)
setattr(obj_self, self._func.__name__, value)
return value
-284
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@@ -1,284 +0,0 @@
import os
import struct
import bisect
import numpy as np
import _io
import capnp
from cereal import log as capnp_log
class RawData():
def __init__(self, f):
self.f = _io.FileIO(f, 'rb')
self.lenn = struct.unpack("I", self.f.read(4))[0]
self.count = os.path.getsize(f) / (self.lenn+4)
def read(self, i):
self.f.seek((self.lenn+4)*i + 4)
return self.f.read(self.lenn)
def yuv420_to_rgb(raw, image_dim=None, swizzled=False):
def expand(x):
x = np.repeat(x, 2, axis=0)
return np.repeat(x, 2, axis=1)
if image_dim is None:
image_dim = (raw.shape[1]*2, raw.shape[2]*2)
swizzled = True
if not swizzled:
img_data = np.array(raw, copy=False, dtype=np.uint8)
uv_len = (image_dim[0]/2)*(image_dim[1]/2)
img_data_u = expand(img_data[image_dim[0]*image_dim[1]: \
image_dim[0]*image_dim[1]+uv_len]. \
reshape(image_dim[0]/2, image_dim[1]/2))
img_data_v = expand(img_data[image_dim[0]*image_dim[1]+uv_len: \
image_dim[0]*image_dim[1]+2*uv_len]. \
reshape(image_dim[0]/2, image_dim[1]/2))
img_data_y = img_data[0:image_dim[0]*image_dim[1]].reshape(image_dim)
else:
img_data_y = np.zeros(image_dim, dtype=np.uint8)
img_data_y[0::2, 0::2] = raw[0]
img_data_y[1::2, 0::2] = raw[1]
img_data_y[0::2, 1::2] = raw[2]
img_data_y[1::2, 1::2] = raw[3]
img_data_u = expand(raw[4])
img_data_v = expand(raw[5])
yuv = np.stack((img_data_y, img_data_u, img_data_v)).swapaxes(0,2).swapaxes(0,1)
yuv = yuv.astype(np.int16)
# http://maxsharabayko.blogspot.com/2016/01/fast-yuv-to-rgb-conversion-in-python-3.html
# according to ITU-R BT.709
yuv[:,:, 0] = yuv[:,:, 0].clip(16, 235).astype(yuv.dtype) - 16
yuv[:,:,1:] = yuv[:,:,1:].clip(16, 240).astype(yuv.dtype) - 128
A = np.array([[1.164, 0.000, 1.793],
[1.164, -0.213, -0.533],
[1.164, 2.112, 0.000]])
# our result
img = np.dot(yuv, A.T).clip(0, 255).astype('uint8')
return img
class YuvData():
def __init__(self, f, dim=(160,320)):
self.f = _io.FileIO(f, 'rb')
self.image_dim = dim
self.image_size = self.image_dim[0]/2 * self.image_dim[1]/2 * 6
self.count = os.path.getsize(f) / self.image_size
def read_frame(self, frame):
self.f.seek(self.image_size*frame)
raw = self.f.read(self.image_size)
return raw
def read_frames(self, range_start, range_len):
self.f.seek(self.image_size*range_start)
raw = self.f.read(self.image_size*range_len)
return raw
def read_frames_into(self, range_start, buf):
self.f.seek(self.image_size*range_start)
return self.f.readinto(buf)
def read(self, frame):
return yuv420_to_rgb(self.read_frame(frame), self.image_dim)
def close(self):
self.f.close()
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
class OneReader():
def __init__(self, base_path, goofy=False, segment_range=None):
self.base_path = base_path
route_name = os.path.basename(base_path)
self.rcamera_size = (304, 560)
if segment_range is None:
parent_path = os.path.dirname(base_path)
self.segment_nums = []
for p in os.listdir(parent_path):
if not p.startswith(route_name+"--"):
continue
self.segment_nums.append(int(p.rsplit("--", 1)[-1]))
if not self.segment_nums:
raise Exception("no route segments found")
self.segment_nums.sort()
self.segment_range = (self.segment_nums[0], self.segment_nums[-1])
else:
self.segment_range = segment_range
self.segment_nums = range(segment_range[0], segment_range[1]+1)
for i in self.segment_nums:
if not os.path.exists(base_path+"--"+str(i)):
raise Exception("missing segment in provided range")
# goofy data is broken with discontinuous logs
if goofy and (self.segment_range[0] != 0
or self.segment_nums != range(self.segment_range[0], self.segment_range[1]+1)):
raise Exception("goofy data needs all the segments for a route")
self.cur_seg = None
self.cur_seg_f = None
# index the frames
print("indexing frames {}...".format(self.segment_nums))
self.rcamera_encode_map = {} # frame_id -> (segment num, segment id, frame_time)
last_frame_id = -1
if goofy:
# goofy is goofy
frame_size = self.rcamera_size[0]*self.rcamera_size[1]*3/2
# find the encode id ranges for each segment by using the rcamera file size
segment_encode_ids = []
cur_encode_id = 0
for n in self.segment_nums:
camera_path = os.path.join(self.seg_path(n), "rcamera")
if not os.path.exists(camera_path):
# for goofy, missing camera files means a bad route
raise Exception("Missing camera file {}".format(camera_path))
camera_size = os.path.getsize(camera_path)
assert (camera_size % frame_size) == 0
num_frames = camera_size / frame_size
segment_encode_ids.append(cur_encode_id)
cur_encode_id += num_frames
last_encode_id = -1
# use the segment encode id map and frame events to build the frame index
for n in self.segment_nums:
log_path = os.path.join(self.seg_path(n), "rlog")
if os.path.exists(log_path):
with open(log_path, "rb") as f:
for evt in capnp_log.Event.read_multiple(f):
if evt.which() == 'frame':
if evt.frame.frameId < last_frame_id:
# a non-increasing frame id is bad route (eg visiond was restarted)
raise Exception("non-increasing frame id")
last_frame_id = evt.frame.frameId
seg_i = bisect.bisect_right(segment_encode_ids, evt.frame.encodeId)-1
assert seg_i >= 0
seg_num = self.segment_nums[seg_i]
seg_id = evt.frame.encodeId-segment_encode_ids[seg_i]
frame_time = evt.logMonoTime / 1.0e9
self.rcamera_encode_map[evt.frame.frameId] = (seg_num, seg_id,
frame_time)
last_encode_id = evt.frame.encodeId
if last_encode_id-cur_encode_id > 10:
# too many missing frames is a bad route (eg route from before encoder rotating worked)
raise Exception("goofy route is missing frames: {}, {}".format(
last_encode_id, cur_encode_id))
else:
# for harry data, build the index from encodeIdx events
for n in self.segment_nums:
log_path = os.path.join(self.seg_path(n), "rlog")
if os.path.exists(log_path):
with open(log_path, "rb") as f:
for evt in capnp_log.Event.read_multiple(f):
if evt.which() == 'encodeIdx' and evt.encodeIdx.type == 'bigBoxLossless':
frame_time = evt.logMonoTime / 1.0e9
self.rcamera_encode_map[evt.encodeIdx.frameId] = (
evt.encodeIdx.segmentNum, evt.encodeIdx.segmentId,
frame_time)
print("done")
# read the first event to find the start time
self.reset_to_seg(self.segment_range[0])
for evt in self.events():
if evt.which() != 'initData':
self.start_mono = evt.logMonoTime
break
self.reset_to_seg(self.segment_range[0])
def seg_path(self, num):
return self.base_path+"--"+str(num)
def reset_to_seg(self, seg):
self.cur_seg = seg
if self.cur_seg_f:
self.cur_seg_f.close()
self.cur_seg_f = None
def seek_ts(self, ts):
seek_seg = int(ts/60)
if seek_seg < self.segment_range[0] or seek_seg > self.segment_range[1]:
raise ValueError
self.reset_to_seg(seek_seg)
target_mono = self.start_mono + int(ts*1e9)
for evt in self.events():
if evt.logMonoTime >= target_mono:
break
def read_event(self):
while True:
if self.cur_seg > self.segment_range[1]:
return None
if self.cur_seg_f is None:
log_path = os.path.join(self.seg_path(self.cur_seg), "rlog")
if not os.path.exists(log_path):
print("missing log file!", log_path)
self.cur_seg += 1
continue
self.cur_seg_f = open(log_path, "rb")
try:
return capnp_log.Event.read(self.cur_seg_f)
except capnp.lib.capnp.KjException as e:
if 'EOF' in str(e): # dumb, but pycapnp does this too
self.cur_seg_f.close()
self.cur_seg_f = None
self.cur_seg += 1
else:
raise
def events(self):
while True:
r = self.read_event()
if r is None:
break
yield r
def read_frame(self, frame_id):
encode_idx = self.rcamera_encode_map.get(frame_id)
if encode_idx is None:
return None
seg_num, seg_id, _ = encode_idx
camera_path = os.path.join(self.seg_path(seg_num), "rcamera")
if not os.path.exists(camera_path):
return None
with YuvData(camera_path, self.rcamera_size) as data:
return data.read_frame(seg_id)
def close(self):
if self.cur_seg_f is not None:
self.cur_seg_f.close()
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
-92
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@@ -1,92 +0,0 @@
import sys
import json
# pip2 install msgpack-python
import msgpack
import zlib
import os
import logging
from Crypto.Cipher import AES
ext = ".gz"
SWAG = '\xde\xe2\x11\x15VVC\xf2\x8ep\xd7\xe4\x87\x8d,9'
def compress_json(in_file, out_file):
logging.debug("compressing %s -> %s", in_file, out_file)
errors = 0
good = []
last_can_time = 0
with open(in_file, 'r') as inf:
for ln in inf:
ln = ln.rstrip()
if not ln: continue
try:
ll = json.loads(ln)
except ValueError:
errors += 1
continue
if ll is None or ll[0] is None:
continue
if ll[0][1] == 1:
# no CAN in hex
ll[1][2] = ll[1][2].decode("hex")
# relativize the CAN timestamps
this_can_time = ll[1][1]
ll[1] = [ll[1][0], this_can_time - last_can_time, ll[1][2]]
last_can_time = this_can_time
good.append(ll)
logging.debug("compressing %s -> %s, read done", in_file, out_file)
data = msgpack.packb(good)
data_compressed = zlib.compress(data)
# zlib doesn't care about this
data_compressed += "\x00" * (16 - len(data_compressed)%16)
aes = AES.new(SWAG, AES.MODE_CBC, "\x00"*16)
data_encrypted = aes.encrypt(data_compressed)
with open(out_file, "wb") as outf:
outf.write(data_encrypted)
logging.debug("compressing %s -> %s, write done", in_file, out_file)
return errors
def decompress_json_internal(data_encrypted):
aes = AES.new(SWAG, AES.MODE_CBC, "\x00"*16)
data_compressed = aes.decrypt(data_encrypted)
data = zlib.decompress(data_compressed)
msgs = msgpack.unpackb(data)
good = []
last_can_time = 0
for ll in msgs:
if ll[0][1] == 1:
# back into hex
ll[1][2] = ll[1][2].encode("hex")
# derelativize CAN timestamps
last_can_time += ll[1][1]
ll[1] = [ll[1][0], last_can_time, ll[1][2]]
good.append(ll)
return good
def decompress_json(in_file, out_file):
logging.debug("decompressing %s -> %s", in_file, out_file)
f = open(in_file)
data_encrypted = f.read()
f.close()
good = decompress_json_internal(data_encrypted)
out = '\n'.join(map(lambda x: json.dumps(x), good)) + "\n"
logging.debug("decompressing %s -> %s, writing", in_file, out_file)
f = open(out_file, 'w')
f.write(out)
f.close()
logging.debug("decompressing %s -> %s, write finished", in_file, out_file)
if __name__ == "__main__":
for dat in sys.argv[1:]:
print(dat)
compress_json(dat, "/tmp/out"+ext)
decompress_json("/tmp/out"+ext, "/tmp/test")
os.system("diff "+dat+" /tmp/test")
+84 -27
View File
@@ -3,6 +3,8 @@ import os
import sys
import copy
import json
import time
import uuid
import socket
import logging
import traceback
@@ -10,6 +12,8 @@ from threading import local
from collections import OrderedDict
from contextlib import contextmanager
LOG_TIMESTAMPS = "LOG_TIMESTAMPS" in os.environ
def json_handler(obj):
# if isinstance(obj, (datetime.date, datetime.time)):
# return obj.isoformat()
@@ -62,14 +66,57 @@ class SwagFormatter(logging.Formatter):
return record_dict
def format(self, record):
if self.swaglogger is None:
raise Exception("must set swaglogger before calling format()")
return json_robust_dumps(self.format_dict(record))
class SwagLogFileFormatter(SwagFormatter):
def fix_kv(self, k, v):
# append type to names to preserve legacy naming in logs
# avoids overlapping key namespaces with different types
# e.g. log.info() creates 'msg' -> 'msg$s'
# log.event() creates 'msg.health.logMonoTime' -> 'msg.health.logMonoTime$i'
# because overlapping namespace 'msg' caused problems
if isinstance(v, (str, bytes)):
k += "$s"
elif isinstance(v, float):
k += "$f"
elif isinstance(v, bool):
k += "$b"
elif isinstance(v, int):
k += "$i"
elif isinstance(v, dict):
nv = {}
for ik, iv in v.items():
ik, iv = self.fix_kv(ik, iv)
nv[ik] = iv
v = nv
elif isinstance(v, list):
k += "$a"
return k, v
def format(self, record):
if isinstance(record, str):
v = json.loads(record)
else:
v = self.format_dict(record)
mk, mv = self.fix_kv('msg', v['msg'])
del v['msg']
v[mk] = mv
v['id'] = uuid.uuid4().hex
return json_robust_dumps(v)
class SwagErrorFilter(logging.Filter):
def filter(self, record):
return record.levelno < logging.ERROR
_tmpfunc = lambda: 0
_srcfile = os.path.normcase(_tmpfunc.__code__.co_filename)
def _tmpfunc():
return 0
def _srcfile():
return os.path.normcase(_tmpfunc.__code__.co_filename)
class SwagLogger(logging.Logger):
def __init__(self):
@@ -106,20 +153,28 @@ class SwagLogger(logging.Logger):
def bind_global(self, **kwargs):
self.global_ctx.update(kwargs)
def event(self, event_name, *args, **kwargs):
def event(self, event, *args, **kwargs):
evt = NiceOrderedDict()
evt['event'] = event_name
evt['event'] = event
if args:
evt['args'] = args
evt.update(kwargs)
ctx = self.get_ctx()
if ctx:
evt['ctx'] = self.get_ctx()
if 'error' in kwargs:
self.error(evt)
elif 'debug' in kwargs:
self.debug(evt)
else:
self.info(evt)
def timestamp(self, event_name):
if LOG_TIMESTAMPS:
t = time.monotonic()
tstp = NiceOrderedDict()
tstp['timestamp'] = NiceOrderedDict()
tstp['timestamp']["event"] = event_name
tstp['timestamp']["time"] = t*1e9
self.debug(tstp)
def findCaller(self, stack_info=False, stacklevel=1):
"""
Find the stack frame of the caller so that we can note the source
@@ -129,31 +184,33 @@ class SwagLogger(logging.Logger):
#On some versions of IronPython, currentframe() returns None if
#IronPython isn't run with -X:Frames.
if f is not None:
f = f.f_back
f = f.f_back
orig_f = f
while f and stacklevel > 1:
f = f.f_back
stacklevel -= 1
f = f.f_back
stacklevel -= 1
if not f:
f = orig_f
f = orig_f
rv = "(unknown file)", 0, "(unknown function)", None
while hasattr(f, "f_code"):
co = f.f_code
filename = os.path.normcase(co.co_filename)
if filename == _srcfile:
f = f.f_back
continue
sinfo = None
if stack_info:
sio = io.StringIO()
sio.write('Stack (most recent call last):\n')
traceback.print_stack(f, file=sio)
sinfo = sio.getvalue()
if sinfo[-1] == '\n':
sinfo = sinfo[:-1]
sio.close()
rv = (co.co_filename, f.f_lineno, co.co_name, sinfo)
break
co = f.f_code
filename = os.path.normcase(co.co_filename)
# TODO: is this pylint exception correct?
if filename == _srcfile:
f = f.f_back
continue
sinfo = None
if stack_info:
sio = io.StringIO()
sio.write('Stack (most recent call last):\n')
traceback.print_stack(f, file=sio)
sinfo = sio.getvalue()
if sinfo[-1] == '\n':
sinfo = sinfo[:-1]
sio.close()
rv = (co.co_filename, f.f_lineno, co.co_name, sinfo)
break
return rv
if __name__ == "__main__":
+45
View File
@@ -0,0 +1,45 @@
HTML_REPLACEMENTS = [
(r'&', r'&amp;'),
(r'"', r'&quot;'),
]
def parse_markdown(text: str, tab_length: int = 2) -> str:
lines = text.split("\n")
output: list[str] = []
list_level = 0
def end_outstanding_lists(level: int, end_level: int) -> int:
while level > end_level:
level -= 1
output.append("</ul>")
if level > 0:
output.append("</li>")
return end_level
for i, line in enumerate(lines):
if i + 1 < len(lines) and lines[i + 1].startswith("==="): # heading
output.append(f"<h1>{line}</h1>")
elif line.startswith("==="):
pass
elif line.lstrip().startswith("* "): # list
line_level = 1 + line.count(" " * tab_length, 0, line.index("*"))
if list_level >= line_level:
list_level = end_outstanding_lists(list_level, line_level)
else:
list_level += 1
if list_level > 1:
output[-1] = output[-1].replace("</li>", "")
output.append("<ul>")
output.append(f"<li>{line.replace('*', '', 1).lstrip()}</li>")
else:
list_level = end_outstanding_lists(list_level, 0)
if len(line) > 0:
output.append(line)
end_outstanding_lists(list_level, 0)
output_str = "\n".join(output) + "\n"
for (fr, to) in HTML_REPLACEMENTS:
output_str = output_str.replace(fr, to)
return output_str
+50
View File
@@ -0,0 +1,50 @@
"""
Utilities for generating mock messages for testing.
example in common/tests/test_mock.py
"""
import functools
import threading
from cereal.messaging import PubMaster
from cereal.services import SERVICE_LIST
from openpilot.common.mock.generators import generate_liveLocationKalman
from openpilot.common.realtime import Ratekeeper
MOCK_GENERATOR = {
"liveLocationKalman": generate_liveLocationKalman
}
def generate_messages_loop(services: list[str], done: threading.Event):
pm = PubMaster(services)
rk = Ratekeeper(100)
i = 0
while not done.is_set():
for s in services:
should_send = i % (100/SERVICE_LIST[s].frequency) == 0
if should_send:
message = MOCK_GENERATOR[s]()
pm.send(s, message)
i += 1
rk.keep_time()
def mock_messages(services: list[str] | str):
if isinstance(services, str):
services = [services]
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
done = threading.Event()
t = threading.Thread(target=generate_messages_loop, args=(services, done))
t.start()
try:
return func(*args, **kwargs)
finally:
done.set()
t.join()
return wrapper
return decorator
+20
View File
@@ -0,0 +1,20 @@
from cereal import messaging
LOCATION1 = (32.7174, -117.16277)
LOCATION2 = (32.7558, -117.2037)
LLK_DECIMATION = 10
RENDER_FRAMES = 15
DEFAULT_ITERATIONS = RENDER_FRAMES * LLK_DECIMATION
def generate_liveLocationKalman(location=LOCATION1):
msg = messaging.new_message('liveLocationKalman')
msg.liveLocationKalman.positionGeodetic = {'value': [*location, 0], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.positionECEF = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.calibratedOrientationNED = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.velocityCalibrated = {'value': [0., 0., 0.], 'std': [0., 0., 0.], 'valid': True}
msg.liveLocationKalman.status = 'valid'
msg.liveLocationKalman.gpsOK = True
return msg
+3 -5
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@@ -1,11 +1,9 @@
def int_rnd(x):
return int(round(x))
def clip(x, lo, hi):
return max(lo, min(hi, x))
def interp(x, xp, fp):
N = len(xp)
def get_interp(xv):
hi = 0
while hi < N and xv > xp[hi]:
@@ -14,8 +12,8 @@ def interp(x, xp, fp):
return fp[-1] if hi == N and xv > xp[low] else (
fp[0] if hi == 0 else
(xv - xp[low]) * (fp[hi] - fp[low]) / (xp[hi] - xp[low]) + fp[low])
return [get_interp(v) for v in x] if hasattr(
x, '__iter__') else get_interp(x)
return [get_interp(v) for v in x] if hasattr(x, '__iter__') else get_interp(x)
def mean(x):
return sum(x) / len(x)
-66
View File
@@ -1,66 +0,0 @@
import bisect
import numpy as np
from scipy.interpolate import interp1d
def deep_interp_0_fast(dx, x, y):
FIX = False
if len(y.shape) == 1:
y = y[:, None]
FIX = True
ret = np.zeros((dx.shape[0], y.shape[1]))
index = list(x)
for i in range(dx.shape[0]):
idx = bisect.bisect_left(index, dx[i])
if idx == x.shape[0]:
idx = x.shape[0] - 1
ret[i] = y[idx]
if FIX:
return ret[:, 0]
else:
return ret
def running_mean(x, N):
cumsum = np.cumsum(np.insert(x, [0]*(int(N/2)) + [-1]*(N-int(N/2)), [x[0]]*int(N/2) + [x[-1]]*(N-int(N/2))))
return (cumsum[N:] - cumsum[:-N]) / N
def deep_interp_np(x, xp, fp):
x = np.atleast_1d(x)
xp = np.array(xp)
if len(xp) < 2:
return np.repeat(fp, len(x), axis=0)
if min(np.diff(xp)) < 0:
raise RuntimeError('Bad x array for interpolation')
j = np.searchsorted(xp, x) - 1
j = np.clip(j, 0, len(xp)-2)
d = np.divide(x - xp[j], xp[j + 1] - xp[j], out=np.ones_like(x, dtype=np.float64), where=xp[j + 1] - xp[j] != 0)
vals_interp = (fp[j].T*(1 - d)).T + (fp[j + 1].T*d).T
if len(vals_interp) == 1:
return vals_interp[0]
else:
return vals_interp
def clipping_deep_interp(x, xp, fp):
if len(xp) < 2:
return deep_interp_np(x, xp, fp)
bad_idx = np.where(np.diff(xp) < 0)[0]
if len(bad_idx) > 0:
if bad_idx[0] ==1:
return np.zeros([] + list(fp.shape[1:]))
return deep_interp_np(x, xp[:bad_idx[0]], fp[:bad_idx[0]])
else:
return deep_interp_np(x, xp, fp)
def deep_interp(dx, x, y, kind="slinear"):
return interp1d(
x, y,
axis=0,
kind=kind,
bounds_error=False,
fill_value="extrapolate",
assume_sorted=True)(dx)
Executable → Regular
+15 -412
View File
@@ -1,415 +1,18 @@
#!/usr/bin/env python3
"""ROS has a parameter server, we have files.
The parameter store is a persistent key value store, implemented as a directory with a writer lock.
On Android, we store params under params_dir = /data/params. The writer lock is a file
"<params_dir>/.lock" taken using flock(), and data is stored in a directory symlinked to by
"<params_dir>/d".
Each key, value pair is stored as a file with named <key> with contents <value>, located in
<params_dir>/d/<key>
Readers of a single key can just open("<params_dir>/d/<key>") and read the file contents.
Readers who want a consistent snapshot of multiple keys should take the lock.
Writers should take the lock before modifying anything. Writers should also leave the DB in a
consistent state after a crash. The implementation below does this by copying all params to a temp
directory <params_dir>/<tmp>, then atomically symlinking <params_dir>/<d> to <params_dir>/<tmp>
before deleting the old <params_dir>/<d> directory.
Writers that only modify a single key can simply take the lock, then swap the corresponding value
file in place without messing with <params_dir>/d.
"""
import time
import os
import errno
import sys
import shutil
import fcntl
import tempfile
import threading
from enum import Enum
from common.basedir import PARAMS
def mkdirs_exists_ok(path):
try:
os.makedirs(path)
except OSError:
if not os.path.isdir(path):
raise
class TxType(Enum):
PERSISTENT = 1
CLEAR_ON_MANAGER_START = 2
CLEAR_ON_PANDA_DISCONNECT = 3
class UnknownKeyName(Exception):
pass
keys = {
"AccessToken": [TxType.PERSISTENT],
"AthenadPid": [TxType.PERSISTENT],
"CalibrationParams": [TxType.PERSISTENT],
"CarParams": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"CarParamsCache": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"CarVin": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"CommunityFeaturesToggle": [TxType.PERSISTENT],
"CompletedTrainingVersion": [TxType.PERSISTENT],
"ControlsParams": [TxType.PERSISTENT],
"DoUninstall": [TxType.CLEAR_ON_MANAGER_START],
"DongleId": [TxType.PERSISTENT],
"GitBranch": [TxType.PERSISTENT],
"GitCommit": [TxType.PERSISTENT],
"GitRemote": [TxType.PERSISTENT],
"GithubSshKeys": [TxType.PERSISTENT],
"HasAcceptedTerms": [TxType.PERSISTENT],
"HasCompletedSetup": [TxType.PERSISTENT],
"IsLdwEnabled": [TxType.PERSISTENT],
"IsGeofenceEnabled": [TxType.PERSISTENT],
"IsMetric": [TxType.PERSISTENT],
"IsOffroad": [TxType.CLEAR_ON_MANAGER_START],
"IsRHD": [TxType.PERSISTENT],
"IsTakingSnapshot": [TxType.CLEAR_ON_MANAGER_START],
"IsUpdateAvailable": [TxType.CLEAR_ON_MANAGER_START],
"IsUploadRawEnabled": [TxType.PERSISTENT],
"LastUpdateTime": [TxType.PERSISTENT],
"LimitSetSpeed": [TxType.PERSISTENT],
"LimitSetSpeedNeural": [TxType.PERSISTENT],
"LiveParameters": [TxType.PERSISTENT],
"LongitudinalControl": [TxType.PERSISTENT],
"OpenpilotEnabledToggle": [TxType.PERSISTENT],
"PandaFirmware": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"PandaFirmwareHex": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"PandaDongleId": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"Passive": [TxType.PERSISTENT],
"RecordFront": [TxType.PERSISTENT],
"ReleaseNotes": [TxType.PERSISTENT],
"ShouldDoUpdate": [TxType.CLEAR_ON_MANAGER_START],
"SpeedLimitOffset": [TxType.PERSISTENT],
"SubscriberInfo": [TxType.PERSISTENT],
"TermsVersion": [TxType.PERSISTENT],
"TrainingVersion": [TxType.PERSISTENT],
"UpdateAvailable": [TxType.CLEAR_ON_MANAGER_START],
"Version": [TxType.PERSISTENT],
"Offroad_ChargeDisabled": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"Offroad_ConnectivityNeeded": [TxType.CLEAR_ON_MANAGER_START],
"Offroad_ConnectivityNeededPrompt": [TxType.CLEAR_ON_MANAGER_START],
"Offroad_TemperatureTooHigh": [TxType.CLEAR_ON_MANAGER_START],
"Offroad_PandaFirmwareMismatch": [TxType.CLEAR_ON_MANAGER_START, TxType.CLEAR_ON_PANDA_DISCONNECT],
"Offroad_InvalidTime": [TxType.CLEAR_ON_MANAGER_START],
"Offroad_IsTakingSnapshot": [TxType.CLEAR_ON_MANAGER_START],
}
def fsync_dir(path):
fd = os.open(path, os.O_RDONLY)
try:
os.fsync(fd)
finally:
os.close(fd)
class FileLock():
def __init__(self, path, create):
self._path = path
self._create = create
self._fd = None
def acquire(self):
self._fd = os.open(self._path, os.O_CREAT if self._create else 0)
fcntl.flock(self._fd, fcntl.LOCK_EX)
def release(self):
if self._fd is not None:
os.close(self._fd)
self._fd = None
class DBAccessor():
def __init__(self, path):
self._path = path
self._vals = None
def keys(self):
self._check_entered()
return self._vals.keys()
def get(self, key):
self._check_entered()
try:
return self._vals[key]
except KeyError:
return None
def _get_lock(self, create):
lock = FileLock(os.path.join(self._path, ".lock"), create)
lock.acquire()
return lock
def _read_values_locked(self):
"""Callers should hold a lock while calling this method."""
vals = {}
try:
data_path = self._data_path()
keys = os.listdir(data_path)
for key in keys:
with open(os.path.join(data_path, key), "rb") as f:
vals[key] = f.read()
except (OSError, IOError) as e:
# Either the DB hasn't been created yet, or somebody wrote a bug and left the DB in an
# inconsistent state. Either way, return empty.
if e.errno == errno.ENOENT:
return {}
return vals
def _data_path(self):
return os.path.join(self._path, "d")
def _check_entered(self):
if self._vals is None:
raise Exception("Must call __enter__ before using DB")
class DBReader(DBAccessor):
def __enter__(self):
try:
lock = self._get_lock(False)
except OSError as e:
# Do not create lock if it does not exist.
if e.errno == errno.ENOENT:
self._vals = {}
return self
try:
# Read everything.
self._vals = self._read_values_locked()
return self
finally:
lock.release()
def __exit__(self, type, value, traceback): pass
class DBWriter(DBAccessor):
def __init__(self, path):
super(DBWriter, self).__init__(path)
self._lock = None
self._prev_umask = None
def put(self, key, value):
self._vals[key] = value
def delete(self, key):
self._vals.pop(key, None)
def __enter__(self):
mkdirs_exists_ok(self._path)
# Make sure we can write and that permissions are correct.
self._prev_umask = os.umask(0)
try:
os.chmod(self._path, 0o777)
self._lock = self._get_lock(True)
self._vals = self._read_values_locked()
except:
os.umask(self._prev_umask)
self._prev_umask = None
raise
return self
def __exit__(self, type, value, traceback):
self._check_entered()
try:
# data_path refers to the externally used path to the params. It is a symlink.
# old_data_path is the path currently pointed to by data_path.
# tempdir_path is a path where the new params will go, which the new data path will point to.
# new_data_path is a temporary symlink that will atomically overwrite data_path.
#
# The current situation is:
# data_path -> old_data_path
# We're going to write params data to tempdir_path
# tempdir_path -> params data
# Then point new_data_path to tempdir_path
# new_data_path -> tempdir_path
# Then atomically overwrite data_path with new_data_path
# data_path -> tempdir_path
old_data_path = None
new_data_path = None
tempdir_path = tempfile.mkdtemp(prefix=".tmp", dir=self._path)
try:
# Write back all keys.
os.chmod(tempdir_path, 0o777)
for k, v in self._vals.items():
with open(os.path.join(tempdir_path, k), "wb") as f:
f.write(v)
f.flush()
os.fsync(f.fileno())
fsync_dir(tempdir_path)
data_path = self._data_path()
try:
old_data_path = os.path.join(self._path, os.readlink(data_path))
except (OSError, IOError):
# NOTE(mgraczyk): If other DB implementations have bugs, this could cause
# copies to be left behind, but we still want to overwrite.
pass
new_data_path = "{}.link".format(tempdir_path)
os.symlink(os.path.basename(tempdir_path), new_data_path)
os.rename(new_data_path, data_path)
fsync_dir(self._path)
finally:
# If the rename worked, we can delete the old data. Otherwise delete the new one.
success = new_data_path is not None and os.path.exists(data_path) and (
os.readlink(data_path) == os.path.basename(tempdir_path))
if success:
if old_data_path is not None:
shutil.rmtree(old_data_path)
else:
shutil.rmtree(tempdir_path)
# Regardless of what happened above, there should be no link at new_data_path.
if new_data_path is not None and os.path.islink(new_data_path):
os.remove(new_data_path)
finally:
os.umask(self._prev_umask)
self._prev_umask = None
# Always release the lock.
self._lock.release()
self._lock = None
def read_db(params_path, key):
path = "%s/d/%s" % (params_path, key)
try:
with open(path, "rb") as f:
return f.read()
except IOError:
return None
def write_db(params_path, key, value):
if isinstance(value, str):
value = value.encode('utf8')
prev_umask = os.umask(0)
lock = FileLock(params_path+"/.lock", True)
lock.acquire()
try:
tmp_path = tempfile.mktemp(prefix=".tmp", dir=params_path)
with open(tmp_path, "wb") as f:
f.write(value)
f.flush()
os.fsync(f.fileno())
path = "%s/d/%s" % (params_path, key)
os.rename(tmp_path, path)
fsync_dir(os.path.dirname(path))
finally:
os.umask(prev_umask)
lock.release()
class Params():
def __init__(self, db=PARAMS):
self.db = db
# create the database if it doesn't exist...
if not os.path.exists(self.db+"/d"):
with self.transaction(write=True):
pass
def clear_all(self):
shutil.rmtree(self.db, ignore_errors=True)
with self.transaction(write=True):
pass
def transaction(self, write=False):
if write:
return DBWriter(self.db)
else:
return DBReader(self.db)
def _clear_keys_with_type(self, tx_type):
with self.transaction(write=True) as txn:
for key in keys:
if tx_type in keys[key]:
txn.delete(key)
def manager_start(self):
self._clear_keys_with_type(TxType.CLEAR_ON_MANAGER_START)
def panda_disconnect(self):
self._clear_keys_with_type(TxType.CLEAR_ON_PANDA_DISCONNECT)
def delete(self, key):
with self.transaction(write=True) as txn:
txn.delete(key)
def get(self, key, block=False, encoding=None):
if key not in keys:
raise UnknownKeyName(key)
while 1:
ret = read_db(self.db, key)
if not block or ret is not None:
break
# is polling really the best we can do?
time.sleep(0.05)
if ret is not None and encoding is not None:
ret = ret.decode(encoding)
return ret
def put(self, key, dat):
"""
Warning: This function blocks until the param is written to disk!
In very rare cases this can take over a second, and your code will hang.
Use the put_nonblocking helper function in time sensitive code, but
in general try to avoid writing params as much as possible.
"""
if key not in keys:
raise UnknownKeyName(key)
write_db(self.db, key, dat)
def put_nonblocking(key, val):
def f(key, val):
params = Params()
params.put(key, val)
t = threading.Thread(target=f, args=(key, val))
t.start()
return t
from openpilot.common.params_pyx import Params, ParamKeyType, UnknownKeyName
assert Params
assert ParamKeyType
assert UnknownKeyName
if __name__ == "__main__":
params = Params()
if len(sys.argv) > 2:
params.put(sys.argv[1], sys.argv[2])
else:
for k in keys:
pp = params.get(k)
if pp is None:
print("%s is None" % k)
elif all(ord(c) < 128 and ord(c) >= 32 for c in pp):
print("%s = %s" % (k, pp))
else:
print("%s = %s" % (k, pp.encode("hex")))
import sys
# Test multiprocess:
# seq 0 100000 | xargs -P20 -I{} python common/params.py DongleId {} && sleep 0.05
# while python common/params.py DongleId; do sleep 0.05; done
params = Params()
key = sys.argv[1]
assert params.check_key(key), f"unknown param: {key}"
if len(sys.argv) == 3:
val = sys.argv[2]
print(f"SET: {key} = {val}")
params.put(key, val)
elif len(sys.argv) == 2:
print(f"GET: {key} = {params.get(key)}")
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@@ -0,0 +1,163 @@
# distutils: language = c++
# cython: language_level = 3
from libcpp cimport bool
from libcpp.string cimport string
from libcpp.vector cimport vector
cdef extern from "common/params.h":
cpdef enum ParamKeyType:
PERSISTENT
CLEAR_ON_MANAGER_START
CLEAR_ON_ONROAD_TRANSITION
CLEAR_ON_OFFROAD_TRANSITION
DEVELOPMENT_ONLY
ALL
cdef cppclass c_Params "Params":
c_Params(string) except + nogil
string get(string, bool) nogil
bool getBool(string, bool) nogil
int getInt(string, bool) nogil
float getFloat(string, bool) nogil
int remove(string) nogil
int put(string, string) nogil
void putNonBlocking(string, string) nogil
void putBoolNonBlocking(string, bool) nogil
void putIntNonBlocking(string, int) nogil
void putFloatNonBlocking(string, float) nogil
int putBool(string, bool) nogil
int putInt(string, int) nogil
int putFloat(string, float) nogil
bool checkKey(string) nogil
string getParamPath(string) nogil
void clearAll(ParamKeyType)
vector[string] allKeys()
ParamKeyType getKeyType(string) nogil
def ensure_bytes(v):
return v.encode() if isinstance(v, str) else v
class UnknownKeyName(Exception):
pass
cdef class Params:
cdef c_Params* p
def __cinit__(self, d=""):
cdef string path = <string>d.encode()
with nogil:
self.p = new c_Params(path)
def __dealloc__(self):
del self.p
def clear_all(self, tx_type=ParamKeyType.ALL):
self.p.clearAll(tx_type)
def check_key(self, key):
key = ensure_bytes(key)
if not self.p.checkKey(key):
raise UnknownKeyName(key)
return key
def get(self, key, bool block=False, encoding=None):
cdef string k = self.check_key(key)
cdef string val
with nogil:
val = self.p.get(k, block)
if val == b"":
if block:
# If we got no value while running in blocked mode
# it means we got an interrupt while waiting
raise KeyboardInterrupt
else:
return None
return val if encoding is None else val.decode(encoding)
def get_bool(self, key, bool block=False):
cdef string k = self.check_key(key)
cdef bool r
with nogil:
r = self.p.getBool(k, block)
return r
def get_int(self, key, bool block=False):
cdef string k = self.check_key(key)
cdef int r
with nogil:
r = self.p.getInt(k, block)
return r
def get_float(self, key, bool block=False):
cdef string k = self.check_key(key)
cdef float r
with nogil:
r = self.p.getFloat(k, block)
return r
def put(self, key, dat):
"""
Warning: This function blocks until the param is written to disk!
In very rare cases this can take over a second, and your code will hang.
Use the put_nonblocking, put_bool_nonblocking in time sensitive code, but
in general try to avoid writing params as much as possible.
"""
cdef string k = self.check_key(key)
cdef string dat_bytes = ensure_bytes(dat)
with nogil:
self.p.put(k, dat_bytes)
def put_bool(self, key, bool val):
cdef string k = self.check_key(key)
with nogil:
self.p.putBool(k, val)
def put_int(self, key, int val):
cdef string k = self.check_key(key)
with nogil:
self.p.putInt(k, val)
def put_float(self, key, float val):
cdef string k = self.check_key(key)
with nogil:
self.p.putFloat(k, val)
def put_nonblocking(self, key, dat):
cdef string k = self.check_key(key)
cdef string dat_bytes = ensure_bytes(dat)
with nogil:
self.p.putNonBlocking(k, dat_bytes)
def put_bool_nonblocking(self, key, bool val):
cdef string k = self.check_key(key)
with nogil:
self.p.putBoolNonBlocking(k, val)
def put_int_nonblocking(self, key, int val):
cdef string k = self.check_key(key)
with nogil:
self.p.putIntNonBlocking(k, val)
def put_float_nonblocking(self, key, float val):
cdef string k = self.check_key(key)
with nogil:
self.p.putFloatNonBlocking(k, val)
def remove(self, key):
cdef string k = self.check_key(key)
with nogil:
self.p.remove(k)
def get_param_path(self, key=""):
cdef string key_bytes = ensure_bytes(key)
return self.p.getParamPath(key_bytes).decode("utf-8")
def all_keys(self):
return self.p.allKeys()
def get_key_type(self, key):
cdef string k = self.check_key(key)
return self.p.getKeyType(k)
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@@ -1,163 +0,0 @@
#!/usr/bin/env python3
# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law.
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See
# http://www.wtfpl.net/ for more details.
#
# note that the function peakdetect is derived from code which was released to
# public domain see: http://billauer.co.il/peakdet.html
#
from math import log
import numpy as np
__all__ = ["peakdetect"]
def _datacheck_peakdetect(x_axis, y_axis):
if x_axis is None:
x_axis = range(len(y_axis))
if len(y_axis) != len(x_axis):
raise ValueError("Input vectors y_axis and x_axis must have same length")
#needs to be a numpy array
y_axis = np.array(y_axis)
x_axis = np.array(x_axis)
return x_axis, y_axis
def _pad(fft_data, pad_len):
"""
Pads fft data to interpolate in time domain
keyword arguments:
fft_data -- the fft
pad_len -- By how many times the time resolution should be increased by
return: padded list
"""
length = len(fft_data)
n = _n(length * pad_len)
fft_data = list(fft_data)
return fft_data[:length // 2] + [0] * (2**n-length) + fft_data[length // 2:]
def _n(x):
"""
Find the smallest value for n, which fulfils 2**n >= x
keyword arguments:
x -- the value, which 2**n must surpass
return: the integer n
"""
return int(log(x)/log(2)) + 1
def peakdetect(y_axis, x_axis=None, lookahead=200, delta=0):
"""
Converted from/based on a MATLAB script at:
http://billauer.co.il/peakdet.html
function for detecting local maxima and minima in a signal.
Discovers peaks by searching for values which are surrounded by lower
or larger values for maxima and minima respectively
keyword arguments:
y_axis -- A list containing the signal over which to find peaks
x_axis -- A x-axis whose values correspond to the y_axis list and is used
in the return to specify the position of the peaks. If omitted an
index of the y_axis is used.
(default: None)
lookahead -- distance to look ahead from a peak candidate to determine if
it is the actual peak
(default: 200)
'(samples / period) / f' where '4 >= f >= 1.25' might be a good value
delta -- this specifies a minimum difference between a peak and
the following points, before a peak may be considered a peak. Useful
to hinder the function from picking up false peaks towards to end of
the signal. To work well delta should be set to delta >= RMSnoise * 5.
(default: 0)
When omitted delta function causes a 20% decrease in speed.
When used Correctly it can double the speed of the function
return: two lists [max_peaks, min_peaks] containing the positive and
negative peaks respectively. Each cell of the lists contains a tuple
of: (position, peak_value)
to get the average peak value do: np.mean(max_peaks, 0)[1] on the
results to unpack one of the lists into x, y coordinates do:
x, y = zip(*max_peaks)
"""
max_peaks = []
min_peaks = []
dump = [] # Used to pop the first hit which almost always is false
# check input data
x_axis, y_axis = _datacheck_peakdetect(x_axis, y_axis)
# store data length for later use
length = len(y_axis)
#perform some checks
if lookahead < 1:
raise ValueError("Lookahead must be '1' or above in value")
if not (np.isscalar(delta) and delta >= 0):
raise ValueError("delta must be a positive number")
#maxima and minima candidates are temporarily stored in
#mx and mn respectively
mn, mx = np.Inf, -np.Inf
#Only detect peak if there is 'lookahead' amount of points after it
for index, (x, y) in enumerate(zip(x_axis[:-lookahead],
y_axis[:-lookahead])):
if y > mx:
mx = y
mxpos = x
if y < mn:
mn = y
mnpos = x
####look for max####
if y < mx-delta and mx != np.Inf:
#Maxima peak candidate found
#look ahead in signal to ensure that this is a peak and not jitter
if y_axis[index:index+lookahead].max() < mx:
max_peaks.append([mxpos, mx])
dump.append(True)
#set algorithm to only find minima now
mx = np.Inf
mn = np.Inf
if index+lookahead >= length:
#end is within lookahead no more peaks can be found
break
continue
#else: #slows shit down this does
# mx = ahead
# mxpos = x_axis[np.where(y_axis[index:index+lookahead]==mx)]
####look for min####
if y > mn+delta and mn != -np.Inf:
#Minima peak candidate found
#look ahead in signal to ensure that this is a peak and not jitter
if y_axis[index:index+lookahead].min() > mn:
min_peaks.append([mnpos, mn])
dump.append(False)
#set algorithm to only find maxima now
mn = -np.Inf
mx = -np.Inf
if index+lookahead >= length:
#end is within lookahead no more peaks can be found
break
#else: #slows shit down this does
# mn = ahead
# mnpos = x_axis[np.where(y_axis[index:index+lookahead]==mn)]
#Remove the false hit on the first value of the y_axis
try:
if dump[0]:
max_peaks.pop(0)
else:
min_peaks.pop(0)
del dump
except IndexError:
#no peaks were found, should the function return empty lists?
pass
return [max_peaks, min_peaks]
+53
View File
@@ -0,0 +1,53 @@
import os
import shutil
import uuid
from openpilot.common.params import Params
from openpilot.system.hardware import PC
from openpilot.system.hardware.hw import Paths
from openpilot.system.hardware.hw import DEFAULT_DOWNLOAD_CACHE_ROOT
class OpenpilotPrefix:
def __init__(self, prefix: str = None, clean_dirs_on_exit: bool = True, shared_download_cache: bool = False):
self.prefix = prefix if prefix else str(uuid.uuid4().hex[0:15])
self.msgq_path = os.path.join('/dev/shm', self.prefix)
self.clean_dirs_on_exit = clean_dirs_on_exit
self.shared_download_cache = shared_download_cache
def __enter__(self):
self.original_prefix = os.environ.get('OPENPILOT_PREFIX', None)
os.environ['OPENPILOT_PREFIX'] = self.prefix
try:
os.mkdir(self.msgq_path)
except FileExistsError:
pass
os.makedirs(Paths.log_root(), exist_ok=True)
if self.shared_download_cache:
os.environ["COMMA_CACHE"] = DEFAULT_DOWNLOAD_CACHE_ROOT
return self
def __exit__(self, exc_type, exc_obj, exc_tb):
if self.clean_dirs_on_exit:
self.clean_dirs()
try:
del os.environ['OPENPILOT_PREFIX']
if self.original_prefix is not None:
os.environ['OPENPILOT_PREFIX'] = self.original_prefix
except KeyError:
pass
return False
def clean_dirs(self):
symlink_path = Params().get_param_path()
if os.path.exists(symlink_path):
shutil.rmtree(os.path.realpath(symlink_path), ignore_errors=True)
os.remove(symlink_path)
shutil.rmtree(self.msgq_path, ignore_errors=True)
if PC:
shutil.rmtree(Paths.log_root(), ignore_errors=True)
if not os.environ.get("COMMA_CACHE", False):
shutil.rmtree(Paths.download_cache_root(), ignore_errors=True)
shutil.rmtree(Paths.comma_home(), ignore_errors=True)
-46
View File
@@ -1,46 +0,0 @@
import time
class Profiler():
def __init__(self, enabled=False):
self.enabled = enabled
self.cp = {}
self.cp_ignored = []
self.iter = 0
self.start_time = time.time()
self.last_time = self.start_time
self.tot = 0.
def reset(self, enabled=False):
self.enabled = enabled
self.cp = {}
self.cp_ignored = []
self.iter = 0
self.start_time = time.time()
self.last_time = self.start_time
def checkpoint(self, name, ignore=False):
# ignore flag needed when benchmarking threads with ratekeeper
if not self.enabled:
return
tt = time.time()
if name not in self.cp:
self.cp[name] = 0.
if ignore:
self.cp_ignored.append(name)
self.cp[name] += tt - self.last_time
if not ignore:
self.tot += tt - self.last_time
self.last_time = tt
def display(self):
if not self.enabled:
return
self.iter += 1
print("******* Profiling *******")
for n, ms in sorted(self.cp.items(), key=lambda x: -x[1]):
if n in self.cp_ignored:
print("%30s: %7.2f percent: %3.0f IGNORED" % (n, ms*1000.0, ms/self.tot*100))
else:
print("%30s: %7.2f percent: %3.0f" % (n, ms*1000.0, ms/self.tot*100))
print("Iter clock: %2.6f TOTAL: %2.2f" % (self.tot/self.iter, self.tot))
+55 -35
View File
@@ -1,73 +1,93 @@
"""Utilities for reading real time clocks and keeping soft real time constraints."""
import gc
import os
import time
import platform
import subprocess
import multiprocessing
from cffi import FFI
from collections import deque
from common.common_pyx import sec_since_boot # pylint: disable=no-name-in-module, import-error
from setproctitle import getproctitle
from openpilot.system.hardware import PC
# time step for each process
DT_CTRL = 0.01 # controlsd
DT_MDL = 0.05 # model
DT_DMON = 0.1 # driver monitoring
DT_TRML = 0.5 # thermald and manager
DT_HW = 0.5 # hardwared and manager
DT_DMON = 0.05 # driver monitoring
ffi = FFI()
ffi.cdef("long syscall(long number, ...);")
libc = ffi.dlopen(None)
class Priority:
# CORE 2
# - modeld = 55
# - camerad = 54
CTRL_LOW = 51 # plannerd & radard
# CORE 3
# - pandad = 55
CTRL_HIGH = 53
def set_realtime_priority(level):
if os.getuid() != 0:
print("not setting priority, not root")
return
if platform.machine() == "x86_64":
NR_gettid = 186
elif platform.machine() == "aarch64":
NR_gettid = 178
else:
raise NotImplementedError
tid = libc.syscall(NR_gettid)
return subprocess.call(['chrt', '-f', '-p', str(level), str(tid)])
def set_realtime_priority(level: int) -> None:
if not PC:
os.sched_setscheduler(0, os.SCHED_FIFO, os.sched_param(level))
class Ratekeeper():
def __init__(self, rate, print_delay_threshold=0.):
def set_core_affinity(cores: list[int]) -> None:
if not PC:
os.sched_setaffinity(0, cores)
def config_realtime_process(cores: int | list[int], priority: int) -> None:
gc.disable()
set_realtime_priority(priority)
c = cores if isinstance(cores, list) else [cores, ]
set_core_affinity(c)
class Ratekeeper:
def __init__(self, rate: float, print_delay_threshold: float | None = 0.0) -> None:
"""Rate in Hz for ratekeeping. print_delay_threshold must be nonnegative."""
self._interval = 1. / rate
self._next_frame_time = sec_since_boot() + self._interval
self._next_frame_time = time.monotonic() + self._interval
self._print_delay_threshold = print_delay_threshold
self._frame = 0
self._remaining = 0
self._process_name = multiprocessing.current_process().name
self._remaining = 0.0
self._process_name = getproctitle()
self._dts = deque([self._interval], maxlen=100)
self._last_monitor_time = time.monotonic()
@property
def frame(self):
def frame(self) -> int:
return self._frame
@property
def remaining(self):
def remaining(self) -> float:
return self._remaining
@property
def lagging(self) -> bool:
avg_dt = sum(self._dts) / len(self._dts)
expected_dt = self._interval * (1 / 0.9)
return avg_dt > expected_dt
# Maintain loop rate by calling this at the end of each loop
def keep_time(self):
def keep_time(self) -> bool:
lagged = self.monitor_time()
if self._remaining > 0:
time.sleep(self._remaining)
return lagged
# this only monitor the cumulative lag, but does not enforce a rate
def monitor_time(self):
# Monitors the cumulative lag, but does not enforce a rate
def monitor_time(self) -> bool:
prev = self._last_monitor_time
self._last_monitor_time = time.monotonic()
self._dts.append(self._last_monitor_time - prev)
lagged = False
remaining = self._next_frame_time - sec_since_boot()
remaining = self._next_frame_time - time.monotonic()
self._next_frame_time += self._interval
if self._print_delay_threshold is not None and remaining < -self._print_delay_threshold:
print("%s lagging by %.2f ms" % (self._process_name, -remaining * 1000))
print(f"{self._process_name} lagging by {-remaining * 1000:.2f} ms")
lagged = True
self._frame += 1
self._remaining = remaining
+30
View File
@@ -0,0 +1,30 @@
import time
import functools
from openpilot.common.swaglog import cloudlog
def retry(attempts=3, delay=1.0, ignore_failure=False):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
for _ in range(attempts):
try:
return func(*args, **kwargs)
except Exception:
cloudlog.exception(f"{func.__name__} failed, trying again")
time.sleep(delay)
if ignore_failure:
cloudlog.error(f"{func.__name__} failed after retry")
else:
raise Exception(f"{func.__name__} failed after retry")
return wrapper
return decorator
if __name__ == "__main__":
@retry(attempts=10)
def abc():
raise ValueError("abc failed :(")
abc()
+13
View File
@@ -0,0 +1,13 @@
import subprocess
def run_cmd(cmd: list[str], cwd=None, env=None) -> str:
return subprocess.check_output(cmd, encoding='utf8', cwd=cwd, env=env).strip()
def run_cmd_default(cmd: list[str], default: str = "", cwd=None, env=None) -> str:
try:
return run_cmd(cmd, cwd=cwd, env=env)
except subprocess.CalledProcessError:
return default
-78
View File
@@ -1,78 +0,0 @@
import os
import numpy as np
import random
class SamplingBuffer():
def __init__(self, fn, size, write=False):
self._fn = fn
self._write = write
if self._write:
self._f = open(self._fn, "ab")
else:
self._f = open(self._fn, "rb")
self._size = size
self._refresh()
def _refresh(self):
self.cnt = os.path.getsize(self._fn) / self._size
@property
def count(self):
self._refresh()
return self.cnt
def _fetch_one(self, x):
assert self._write == False
self._f.seek(x*self._size)
return self._f.read(self._size)
def sample(self, count, indices = None):
if indices == None:
cnt = self.count
assert cnt != 0
indices = map(lambda x: random.randint(0, cnt-1), range(count))
return map(self._fetch_one, indices)
def write(self, dat):
assert self._write == True
assert (len(dat) % self._size) == 0
self._f.write(dat)
self._f.flush()
class NumpySamplingBuffer():
def __init__(self, fn, size, dtype, write=False):
self._size = size
self._dtype = dtype
self._buf = SamplingBuffer(fn, len(np.zeros(size, dtype=dtype).tobytes()), write)
@property
def count(self):
return self._buf.count
def write(self, dat):
self._buf.write(dat.tobytes())
def sample(self, count, indices = None):
return np.fromstring(''.join(self._buf.sample(count, indices)), dtype=self._dtype).reshape([count]+list(self._size))
# TODO: n IOPS needed where n is the Multi
class MultiNumpySamplingBuffer():
def __init__(self, fn, npa, write=False):
self._bufs = []
for i,n in enumerate(npa):
self._bufs.append(NumpySamplingBuffer(fn + ("_%d" % i), n[0], n[1], write))
def write(self, dat):
for b,x in zip(self._bufs, dat):
b.write(x)
@property
def count(self):
return min(map(lambda x: x.count, self._bufs))
def sample(self, count):
cnt = self.count
assert cnt != 0
indices = map(lambda x: random.randint(0, cnt-1), range(count))
return map(lambda x: x.sample(count, indices), self._bufs)
+54
View File
@@ -0,0 +1,54 @@
import numpy as np
def get_kalman_gain(dt, A, C, Q, R, iterations=100):
P = np.zeros_like(Q)
for _ in range(iterations):
P = A.dot(P).dot(A.T) + dt * Q
S = C.dot(P).dot(C.T) + R
K = P.dot(C.T).dot(np.linalg.inv(S))
P = (np.eye(len(P)) - K.dot(C)).dot(P)
return K
class KF1D:
# this EKF assumes constant covariance matrix, so calculations are much simpler
# the Kalman gain also needs to be precomputed using the control module
def __init__(self, x0, A, C, K):
self.x0_0 = x0[0][0]
self.x1_0 = x0[1][0]
self.A0_0 = A[0][0]
self.A0_1 = A[0][1]
self.A1_0 = A[1][0]
self.A1_1 = A[1][1]
self.C0_0 = C[0]
self.C0_1 = C[1]
self.K0_0 = K[0][0]
self.K1_0 = K[1][0]
self.A_K_0 = self.A0_0 - self.K0_0 * self.C0_0
self.A_K_1 = self.A0_1 - self.K0_0 * self.C0_1
self.A_K_2 = self.A1_0 - self.K1_0 * self.C0_0
self.A_K_3 = self.A1_1 - self.K1_0 * self.C0_1
# K matrix needs to be pre-computed as follow:
# import control
# (x, l, K) = control.dare(np.transpose(self.A), np.transpose(self.C), Q, R)
# self.K = np.transpose(K)
def update(self, meas):
#self.x = np.dot(self.A_K, self.x) + np.dot(self.K, meas)
x0_0 = self.A_K_0 * self.x0_0 + self.A_K_1 * self.x1_0 + self.K0_0 * meas
x1_0 = self.A_K_2 * self.x0_0 + self.A_K_3 * self.x1_0 + self.K1_0 * meas
self.x0_0 = x0_0
self.x1_0 = x1_0
return [self.x0_0, self.x1_0]
@property
def x(self):
return [[self.x0_0], [self.x1_0]]
def set_x(self, x):
self.x0_0 = x[0][0]
self.x1_0 = x[1][0]
+12 -23
View File
@@ -1,14 +1,14 @@
import os
import subprocess
from common.basedir import BASEDIR
from openpilot.common.basedir import BASEDIR
class Spinner():
class Spinner:
def __init__(self):
try:
self.spinner_proc = subprocess.Popen(["./spinner"],
stdin=subprocess.PIPE,
cwd=os.path.join(BASEDIR, "selfdrive", "ui", "spinner"),
cwd=os.path.join(BASEDIR, "selfdrive", "ui"),
close_fds=True)
except OSError:
self.spinner_proc = None
@@ -16,7 +16,7 @@ class Spinner():
def __enter__(self):
return self
def update(self, spinner_text):
def update(self, spinner_text: str):
if self.spinner_proc is not None:
self.spinner_proc.stdin.write(spinner_text.encode('utf8') + b"\n")
try:
@@ -24,36 +24,25 @@ class Spinner():
except BrokenPipeError:
pass
def update_progress(self, cur: float, total: float):
self.update(str(round(100 * cur / total)))
def close(self):
if self.spinner_proc is not None:
self.spinner_proc.kill()
try:
self.spinner_proc.stdin.close()
except BrokenPipeError:
pass
self.spinner_proc.terminate()
self.spinner_proc.communicate(timeout=2.)
except subprocess.TimeoutExpired:
print("WARNING: failed to kill spinner")
self.spinner_proc = None
def __del__(self):
self.close()
def __exit__(self, type, value, traceback):
def __exit__(self, exc_type, exc_value, traceback):
self.close()
class FakeSpinner():
def __init__(self):
pass
def __enter__(self):
return self
def update(self, _):
pass
def __exit__(self, type, value, traceback):
pass
if __name__ == "__main__":
import time
with Spinner() as s:
+5 -5
View File
@@ -1,6 +1,6 @@
import numpy as np
class RunningStat():
class RunningStat:
# tracks realtime mean and standard deviation without storing any data
def __init__(self, priors=None, max_trackable=-1):
self.max_trackable = max_trackable
@@ -32,7 +32,7 @@ class RunningStat():
self.S_last = 0.
else:
self.M = self.M_last + (new_data - self.M_last) / self.n
self.S = self.S_last + (new_data - self.M_last) * (new_data - self.M);
self.S = self.S_last + (new_data - self.M_last) * (new_data - self.M)
self.M_last = self.M
self.S_last = self.S
@@ -51,9 +51,9 @@ class RunningStat():
def params_to_save(self):
return [self.M, self.S, self.n]
class RunningStatFilter():
class RunningStatFilter:
def __init__(self, raw_priors=None, filtered_priors=None, max_trackable=-1):
self.raw_stat = RunningStat(raw_priors, max_trackable)
self.raw_stat = RunningStat(raw_priors, -1)
self.filtered_stat = RunningStat(filtered_priors, max_trackable)
def reset(self):
@@ -64,7 +64,7 @@ class RunningStatFilter():
_std_last = self.raw_stat.std()
self.raw_stat.push_data(new_data)
_delta_std = self.raw_stat.std() - _std_last
if _delta_std<=0:
if _delta_std <= 0:
self.filtered_stat.push_data(new_data)
else:
pass
-94
View File
@@ -1,94 +0,0 @@
import numpy as np
_DESC_FMT = """
{} (n={}):
MEAN={}
VAR={}
MIN={}
MAX={}
"""
class StatTracker():
def __init__(self, name):
self._name = name
self._mean = 0.
self._var = 0.
self._n = 0
self._min = -float("-inf")
self._max = -float("inf")
@property
def mean(self):
return self._mean
@property
def var(self):
return (self._n * self._var) / (self._n - 1.)
@property
def min(self):
return self._min
@property
def max(self):
return self._max
def update(self, samples):
# https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm
data = samples.reshape(-1)
n_a = data.size
mean_a = np.mean(data)
var_a = np.var(data, ddof=0)
n_b = self._n
mean_b = self._mean
delta = mean_b - mean_a
m_a = var_a * (n_a - 1)
m_b = self._var * (n_b - 1)
m2 = m_a + m_b + delta**2 * n_a * n_b / (n_a + n_b)
self._var = m2 / (n_a + n_b)
self._mean = (n_a * mean_a + n_b * mean_b) / (n_a + n_b)
self._n = n_a + n_b
self._min = min(self._min, np.min(data))
self._max = max(self._max, np.max(data))
def __str__(self):
return _DESC_FMT.format(self._name, self._n, self._mean, self.var, self._min,
self._max)
# FIXME(mgraczyk): The variance computation does not work with 1 sample batches.
class VectorStatTracker(StatTracker):
def __init__(self, name, dim):
self._name = name
self._mean = np.zeros((dim, ))
self._var = np.zeros((dim, dim))
self._n = 0
self._min = np.full((dim, ), -float("-inf"))
self._max = np.full((dim, ), -float("inf"))
@property
def cov(self):
return self.var
def update(self, samples):
n_a = samples.shape[0]
mean_a = np.mean(samples, axis=0)
var_a = np.cov(samples, ddof=0, rowvar=False)
n_b = self._n
mean_b = self._mean
delta = mean_b - mean_a
m_a = var_a * (n_a - 1)
m_b = self._var * (n_b - 1)
m2 = m_a + m_b + delta**2 * n_a * n_b / (n_a + n_b)
self._var = m2 / (n_a + n_b)
self._mean = (n_a * mean_a + n_b * mean_b) / (n_a + n_b)
self._n = n_a + n_b
self._min = np.minimum(self._min, np.min(samples, axis=0))
self._max = np.maximum(self._max, np.max(samples, axis=0))
-6
View File
@@ -1,6 +0,0 @@
def replace_right(s, old, new, occurrence):
# replace_right('1232425', '2', ' ', 1) -> '12324 5'
# replace_right('1232425', '2', ' ', 2) -> '123 4 5'
split = s.rsplit(old, occurrence)
return new.join(split)
+135
View File
@@ -0,0 +1,135 @@
import logging
import os
import time
import warnings
from pathlib import Path
from logging.handlers import BaseRotatingHandler
import zmq
from openpilot.common.logging_extra import SwagLogger, SwagFormatter, SwagLogFileFormatter
from openpilot.system.hardware.hw import Paths
def get_file_handler():
Path(Paths.swaglog_root()).mkdir(parents=True, exist_ok=True)
base_filename = os.path.join(Paths.swaglog_root(), "swaglog")
handler = SwaglogRotatingFileHandler(base_filename)
return handler
class SwaglogRotatingFileHandler(BaseRotatingHandler):
def __init__(self, base_filename, interval=60, max_bytes=1024*256, backup_count=2500, encoding=None):
super().__init__(base_filename, mode="a", encoding=encoding, delay=True)
self.base_filename = base_filename
self.interval = interval # seconds
self.max_bytes = max_bytes
self.backup_count = backup_count
self.log_files = self.get_existing_logfiles()
log_indexes = [f.split(".")[-1] for f in self.log_files]
self.last_file_idx = max([int(i) for i in log_indexes if i.isdigit()] or [-1])
self.last_rollover = None
self.doRollover()
def _open(self):
self.last_rollover = time.monotonic()
self.last_file_idx += 1
next_filename = f"{self.base_filename}.{self.last_file_idx:010}"
stream = open(next_filename, self.mode, encoding=self.encoding)
self.log_files.insert(0, next_filename)
return stream
def get_existing_logfiles(self):
log_files = list()
base_dir = os.path.dirname(self.base_filename)
for fn in os.listdir(base_dir):
fp = os.path.join(base_dir, fn)
if fp.startswith(self.base_filename) and os.path.isfile(fp):
log_files.append(fp)
return sorted(log_files)
def shouldRollover(self, record):
size_exceeded = self.max_bytes > 0 and self.stream.tell() >= self.max_bytes
time_exceeded = self.interval > 0 and self.last_rollover + self.interval <= time.monotonic()
return size_exceeded or time_exceeded
def doRollover(self):
if self.stream:
self.stream.close()
self.stream = self._open()
if self.backup_count > 0:
while len(self.log_files) > self.backup_count:
to_delete = self.log_files.pop()
if os.path.exists(to_delete): # just being safe, should always exist
os.remove(to_delete)
class UnixDomainSocketHandler(logging.Handler):
def __init__(self, formatter):
logging.Handler.__init__(self)
self.setFormatter(formatter)
self.pid = None
self.zctx = None
self.sock = None
def __del__(self):
self.close()
def close(self):
if self.sock is not None:
self.sock.close()
if self.zctx is not None:
self.zctx.term()
def connect(self):
self.zctx = zmq.Context()
self.sock = self.zctx.socket(zmq.PUSH)
self.sock.setsockopt(zmq.LINGER, 10)
self.sock.connect(Paths.swaglog_ipc())
self.pid = os.getpid()
def emit(self, record):
if os.getpid() != self.pid:
# TODO suppresses warning about forking proc with zmq socket, fix root cause
warnings.filterwarnings("ignore", category=ResourceWarning, message="unclosed.*<zmq.*>")
self.connect()
msg = self.format(record).rstrip('\n')
# print("SEND".format(repr(msg)))
try:
s = chr(record.levelno)+msg
self.sock.send(s.encode('utf8'), zmq.NOBLOCK)
except zmq.error.Again:
# drop :/
pass
def add_file_handler(log):
"""
Function to add the file log handler to swaglog.
This can be used to store logs when logmessaged is not running.
"""
handler = get_file_handler()
handler.setFormatter(SwagLogFileFormatter(log))
log.addHandler(handler)
cloudlog = log = SwagLogger()
log.setLevel(logging.DEBUG)
outhandler = logging.StreamHandler()
print_level = os.environ.get('LOGPRINT', 'warning')
if print_level == 'debug':
outhandler.setLevel(logging.DEBUG)
elif print_level == 'info':
outhandler.setLevel(logging.INFO)
elif print_level == 'warning':
outhandler.setLevel(logging.WARNING)
ipchandler = UnixDomainSocketHandler(SwagFormatter(log))
log.addHandler(outhandler)
# logs are sent through IPC before writing to disk to prevent disk I/O blocking
log.addHandler(ipchandler)

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