* wip torqued
* add basic logic
* setup in manager
* check sanity and publish msg
* add first order filter to outputs
* wire up controlsd, and update gains
* rename intercept to offset
* add cloudlog, live values are not updated
* fix bugs, do not reset points for now
* fix crashes
* rename to main
* fix bugs, works offline
* fix float in cereal bug
* add latacc filter
* randomly choose points, approx for iid
* add variable decay
* local param to capnp instead of dict
* verify works in replay
* use torqued output in controlsd
* use in controlsd; use points from past routes
* controlsd bugfix
* filter before updating gains, needs to be replaced
* save all points to ensure smooth transition across routes, revert friction factor to 1.5
* add filters to prevent noisy low-speed data points; improve fit sanity
* add engaged buffer
* revert lat_acc thresh
* use paramsd realtime process config
* make latacc-to-torque generic, and overrideable
* move freq to 4Hz, avoid storing in np.array, don't publish points in the message
* float instead of np
* remove constant while storing pts
* rename slope, offset to lat_accet_factor, offset
* resolve issues
* use camelcase in all capnp params
* use camelcase everywhere
* reduce latacc threshold or sanity, add car_sane todo, save points properly
* add and check tag
* write param to disk at end of route
* remove args
* rebase op, cereal
* save on exit
* restore default handler
* cpu usage check
* add to process replay
* handle reset better, reduce unnecessary computation
* always publish raw values - useful for debug
* regen routes
* update refs
* checks on cache restore
* check tuning vals too
* clean that up
* reduce cpu usage
* reduce cpu usage by 75%
* cleanup
* optimize further
* handle reset condition better, don't put points in init, use only in corolla
* bump cereal after rebasing
* update refs
* Update common/params.cc
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* remove unnecessary checks
* Update RELEASES.md
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 4fa62f1464
Process replay
Process replay is a regression test designed to identify any changes in the output of a process. This test replays a segment through individual processes and compares the output to a known good replay. Each make is represented in the test with a segment.
If the test fails, make sure that you didn't unintentionally change anything. If there are intentional changes, the reference logs will be updated.
Use test_processes.py to run the test locally.
Use FILEREADER_CACHE='1' test_processes.py to cache log files.
Currently the following processes are tested:
- controlsd
- radard
- plannerd
- calibrationd
- dmonitoringd
- locationd
- laikad
- paramsd
- ubloxd
Usage
Usage: test_processes.py [-h] [--whitelist-procs PROCS] [--whitelist-cars CARS] [--blacklist-procs PROCS]
[--blacklist-cars CARS] [--ignore-fields FIELDS] [--ignore-msgs MSGS] [--update-refs] [--upload-only]
Regression test to identify changes in a process's output
optional arguments:
-h, --help show this help message and exit
--whitelist-procs PROCS Whitelist given processes from the test (e.g. controlsd)
--whitelist-cars WHITELIST_CARS Whitelist given cars from the test (e.g. HONDA)
--blacklist-procs BLACKLIST_PROCS Blacklist given processes from the test (e.g. controlsd)
--blacklist-cars BLACKLIST_CARS Blacklist given cars from the test (e.g. HONDA)
--ignore-fields IGNORE_FIELDS Extra fields or msgs to ignore (e.g. carState.events)
--ignore-msgs IGNORE_MSGS Msgs to ignore (e.g. carEvents)
--update-refs Updates reference logs using current commit
--upload-only Skips testing processes and uploads logs from previous test run
Forks
openpilot forks can use this test with their own reference logs, by default test_proccess.py saves logs locally.
To generate new logs:
./test_processes.py
Then, check in the new logs using git-lfs. Make sure to also update the ref_commit file to the current commit.