lib_6107 2026.0.0.1

Python helper library focused on the CyberJagzz FRC Team 6107 robot requirements

frclib-6107

Python helper library focused on the CyberJagzz FRC Team 6107 robot requirements

Table of Contents

• Background and Intended Direction
• Key Interfaces
• Commands
  • Drivetrain
  • Vision
  • Pykit
• Subsystems
  • Gyro
  • Pykit
  • RPM
  • Vision
• Utilities

Background and Intended Direction

During the initial FRC python effort for the 2026 Rebuilt build-season, several useful utilities were identified along with much common functionality between some subsystems. On top of this, the pykit module had a few bugs identified and were brought into the Team's product.

All of this work was performed under the lib_6107 subdirectory of our 2026 Rebuilt project, and now that build season is over, it sure would be nice to pull this into a loadable module, clean up and document the interfaces, and get under some sort of unit tests.

If this is successful, the hope is that the main robot-loadable source for 2026 and our future robots is greatly reduced.

Another key focus is to speed the periodic code by at least 25%. The current loop is taking about 23 mS, and we need this under 20. While the new controller for 2027 will probably be significantly faster, saving time to run new functionality (vision w/ dynamic collision avoidance) will most likely take this time up.

Key Interfaces

Below are the main areas (often subdirectories) contained in this project.

commands

drivetrain

vision

pykit

subsystems

gyro

pykit

rpm

vision

util

Planned Releases and Improvements

The first 'beta' release will be 2026.0.1 and will primarily be a move of the current 2026-Rebuilt project into an installable module. Following that release, the start of several improvements based on the prioritized list below. Note that priorities may change without notice.

Impovement	Task	Description
	lib_2026 move	2026.0.1 - Successful move into an installable module. Little or no added functionality.
	lint-part-1	[automation] Support lint via Makefile
	bandit-part-1	[automation] Support bandit via Makefile
	build-part-1	[automation] Support automated release via Makefile
	-
	constants	Do constants better so initial value are in lib_6107 but easy to override by developers
	drivesubsystem	A base subsystem for a drivetrain (focus on swerve initially)
	-
	period	Support an easy way to set/manipulate the period with the default being the 20 mS standard value
	-
	robot base	Base class for the robot that is responsible for at least the initial logging setup and determining if this is a replay
	subsystem base	Base subsystem class that supports pykit, simulation, and sysId overridable methods
	-
	lint-part-2	[automation] Support lint via GitHub actions
	bandit-part-2	[automation] Support bandit via GitHub actions
	build-part-2	[automation] Support automated release via GitHub actions
	-
	performance	[performance] Review existing code so far and address and areas for increasing code efficiency. Create items for the improvement
	fault handling	[fault handling]Review existing code so far and address and areas for increasing code stability and recovery.C reate items for the improvement
	-
	pykit unit-test	[fault handling] Get to >70% unit test coverage of pykit logging functionality Focus on performance measurements. Keep track of results
	-
	ut-part-1	[automation] Support unit-tests via makefile
	-
	-
	CTRE/REV	Provide customized/customizable subsystem support for CTRE and Rev Robotics based subsystems
	-
	-
	pykit slots	[performance] Support @DataClass(slots=True) for pykit logging if it can help with performance
	-
	-
	pykit meta	Support subsystem metadata. Auto-save firmware versions, model numbers, vendor info, and other status we can scrap from devices and their APIs.
	pykit asyncio	[performance] Support asyncio in pykit to improve performance
	canbus logging	[performance] Support Canbus logging to pykit (option to disable via logged chooser)
	-
	github copilot	Investigate what github copilot may help us with
	-
	ut-part-2	[automation] Support unit-tests via GitHub actions
	unit-test-10%	Reach at least 10% or better unit-test coverage
	-
	vision sim 1	Support vision simulation (PhotonVision)
	-
	example	Create an example project that can be used by other to examine how to use this module. Also may be able to use it in some automated unit-tests.
	-
	-
	vision sim 2	Support vision simulation (Limelight)
	-
	unit-test-30%	Reach at least 30% or better unit-test coverage. Supports github action/workflow.
	unit-test-50%	Reach at least 50% or better unit-test coverage.
	unit-test-70%	Reach at least 70% or better unit-test coverage
	unit-test-80%	Reach at least 80% or better unit-test coverage
	-
	tools	Generate a list of possible tools to improve or automate some of the steps we go through
	-
	-
	log exporter	[tools] Auto-log export into a database (mongodb?) Include additional match/circumstance type metadata and have settable via UI.
	otel	[tools] [performance] OpenTelemetry support investigation
	elastic	[example] In the 'example' robot project. Include an elastic JSON layout file that shows how some of the module NT4 data can be displayed/manipulated.
	-
	-
DONE	-------------	---------------------------------------------
	Placeholder	As items are completed, the will be moved below this lineDo we want to support pitch and roll in our logged gyro outputs with the version that they first became available in

NOTICE

As with many frc projects, the code in this module draws from many other repositories belonging to different teams. As I begin to extract code and move it into this repo, I hope to provide credit below. If I miss anyone, my apologies, it is not intentional.

Also, we use: - both Rev and CTRE motors - pathplanner - pykit - PhotonVision (and maybe Limelight soon)

So those modules will be downloaded if you install this module as well. Maybe a little code bloat, but it should not be much of an impact in 2027 where this is being targeted.

Westwood Robotics - 1757

• The original work on pykit and of course their robots tha provide good examples of how to use pykit

Team 714

• Gene Panov's (Team 714) CommandRevSwerve project and so many good videos of how to use robotpy...
• Misc vision videos by other team members