A high-performance Rust-powered Python library for CAN bus communication and FOC motor control in robotics
Project description
cawlib
A high-performance Rust-powered Python library for CAN bus communication and FOC motor control in robotics. Built with PyO3 and Tokio for blazing-fast async I/O, precise timing, and effortless concurrency.
Features
- CAN Bus Communication — Blocking and non-blocking CAN device interfaces via Linux SocketCAN
- FOC Motor Control — Broadcast-style control of up to 4 motors per CAN bus with current/speed/position modes
- High-Precision Timers — Three tiers of timing precision, from ~1 ms down to ~1 μs
- Async Task Execution — Run Python functions as background tasks with cancellation and result retrieval
- Lifecycle Management — Global task manager with graceful shutdown and signal handling (SIGINT/SIGTERM)
Requirements
- OS: Linux (SocketCAN required)
- Python: >= 3.8
- CAN Interface: A configured SocketCAN interface (e.g.
can0)
Installation
pip install cawlib
CAN Interface Setup
Before using the library, bring up a CAN interface:
sudo ip link set can0 up type can bitrate 1000000
Quick Start
import cawlib
# Create a motor controller on CAN bus
motor = cawlib.Motor("can0", broadcast_id=0x100)
# Add motor devices (up to 4 per bus)
d1 = motor.add_device(slot_index=0, feedback_id=0x201, mode="speed")
d2 = motor.add_device(slot_index=1, feedback_id=0x202, mode="speed")
# Set target speeds and broadcast
d1.set_target(10.0) # 10 rad/s
d2.set_target(-5.0) # -5 rad/s
motor.broadcast()
# Run a periodic control loop at 100 Hz
@cawlib.timer(100.0)
def control_loop():
motor.broadcast()
feedback = d1.get_watch_data()
print(f"pos={feedback['position']:.2f}, speed={feedback['speed']:.2f}")
handle = control_loop()
# Block until Ctrl+C, then gracefully shut down
cawlib.block_all(timeout_ms=5000)
API Reference
CAN Devices
CanDevice(interface: str)
Blocking CAN device for synchronous communication.
can = cawlib.CanDevice("can0")
can.send(0x100, [0x01, 0x02, 0x03])
frame_id, data = can.receive()
print(can.interface())
| Method | Description |
|---|---|
send(id: int, data: list[int]) |
Send a CAN frame |
receive() -> tuple[int, bytes] |
Receive a CAN frame (blocking) |
interface() -> str |
Get CAN interface name |
CanDeviceNonBlocking(interface: str)
Non-blocking CAN device with background I/O.
can = cawlib.CanDeviceNonBlocking("can0")
can.send(0x100, [0x01, 0x02])
result = can.try_receive() # Returns None if no frame available
result = can.receive_timeout(1000) # Wait up to 1000 ms
| Method | Description |
|---|---|
send(id: int, data: list[int]) |
Non-blocking send |
try_receive() -> tuple[int, bytes] | None |
Non-blocking receive |
receive_timeout(timeout_ms: int) -> tuple[int, bytes] | None |
Receive with timeout |
interface() -> str |
Get CAN interface name |
Motor Control
Motor(interface: str, broadcast_id: int)
Broadcast motor controller supporting up to 4 devices per CAN bus. Uses FOC (Field-Oriented Control) protocol.
motor = cawlib.Motor("can0", broadcast_id=0x100)
# Add devices in different control modes
d1 = motor.add_device(slot_index=0, feedback_id=0x201, mode="current")
d2 = motor.add_device(slot_index=1, feedback_id=0x202, mode="speed")
d3 = motor.add_device(slot_index=2, feedback_id=0x203, mode="position")
# Control
d1.set_target(1.5) # 1.5 A
d2.set_target(10.0) # 10 rad/s
d3.set_target(3.14) # 3.14 rad
motor.broadcast()
# Read feedback
data = d1.get_watch_data()
# {"position": 0.0, "speed": 0.0, "current": 1.5}
| Method | Description |
|---|---|
add_device(slot_index: int, feedback_id: int, mode: str) -> Device |
Add a motor device. mode: "current", "speed", or "position" |
set_target(slot_index: int, value: float) |
Set target for a slot |
broadcast() |
Send broadcast frame to all devices |
get_watch_data(slot_index: int) -> dict | None |
Get feedback data for a slot |
Device
Individual motor unit within a broadcast group.
| Method / Property | Description |
|---|---|
set_target(value: float) |
Set target value (unit depends on mode) |
get_target() -> float |
Get current target |
get_watch_data() -> dict |
Get feedback: {"position", "speed", "current"} |
slot_index |
Slot index (0–3) |
feedback_id |
Feedback CAN ID |
Control Modes and Units:
| Mode | Unit | Resolution | Range |
|---|---|---|---|
current |
A | 0.01 A | ±327.67 A |
speed |
rad/s | 0.1 rad/s | ±3276.7 rad/s |
position |
rad | 0.01 rad | ±327.67 rad |
Timers
@timer(frequency_hz: float)
Standard timer decorator using Tokio async runtime. Resolution ~1–10 ms.
@cawlib.timer(10.0) # 10 Hz
def update():
print("tick")
handle = update()
print(handle.actual_frequency) # Achieved frequency
handle.stop()
@precision_timer(frequency_hz: float, realtime: bool = False)
High-precision timer. Two modes:
realtime=False(default): Busy-wait loop, ~10–100 μs resolutionrealtime=True: Dedicated OS thread, ~1–10 μs resolution (CPU-intensive)
@cawlib.precision_timer(1000.0) # 1 kHz high-precision
def fast_loop():
motor.broadcast()
handle = fast_loop()
TimerHandle
Returned when calling a timer-decorated function.
| Method / Property | Description |
|---|---|
stop() |
Stop the timer |
is_running() -> bool |
Check if running |
frequency |
Target frequency (Hz) |
actual_frequency |
Achieved average frequency (Hz) |
tick_count |
Number of ticks elapsed |
elapsed_secs |
Elapsed time in seconds |
precision_mode |
"normal", "high", or "realtime" |
task_id |
Task ID |
Async Tasks
@run_async
Run a Python function as a background async task.
@cawlib.run_async
def long_task():
import time
time.sleep(5)
return 42
handle = long_task()
handle.wait(timeout_ms=10000)
print(handle.try_result()) # 42
AsyncHandle
| Method / Property | Description |
|---|---|
is_done() -> bool |
Task finished (success or failure) |
is_completed() -> bool |
Completed successfully |
is_cancelled() -> bool |
Task was cancelled |
cancel() |
Request cancellation |
try_result() -> Any | None |
Get result if done |
wait(timeout_ms: int | None = None) |
Block until done or timeout |
task_id |
Task ID |
Task Management
get_task_manager() -> TaskManager
Access the global task manager for monitoring and lifecycle control.
tm = cawlib.get_task_manager()
print(tm.status())
# {"running_timers": 2, "running_tasks": 1, "stopped": 0, "total": 3}
tm.stop_all()
tm.wait_all(timeout_ms=5000)
| Method / Property | Description |
|---|---|
running_count |
Number of running tasks |
total_count |
Total registered tasks |
timer_count |
Running timers |
async_task_count |
Running async tasks |
stop_all() |
Stop all tasks |
wait_all(timeout_ms: int | None = None) |
Wait for all tasks to finish |
shutdown(timeout_ms: int | None = None) |
Stop all and wait |
cleanup() |
Remove finished tasks |
status() -> dict |
Get status summary |
Module-Level Functions
| Function | Description |
|---|---|
shutdown_all(timeout_ms=None) |
Stop all tasks and wait for completion |
block_all(timeout_ms=None) |
Block until SIGINT/SIGTERM, then gracefully shut down |
block_until(wait_ms=None, shutdown_timeout_ms=None) |
Block until timeout or signal, then shut down |
Example: Complete Motor Control Loop
import cawlib
# Setup
motor = cawlib.Motor("can0", broadcast_id=0x100)
d1 = motor.add_device(slot_index=0, feedback_id=0x201, mode="speed")
d2 = motor.add_device(slot_index=1, feedback_id=0x202, mode="speed")
target_speed = 5.0
# High-frequency control loop
@cawlib.precision_timer(500.0) # 500 Hz
def control():
d1.set_target(target_speed)
d2.set_target(-target_speed)
motor.broadcast()
# Low-frequency monitoring
@cawlib.timer(2.0) # 2 Hz
def monitor():
w1 = d1.get_watch_data()
w2 = d2.get_watch_data()
print(f"D1: speed={w1['speed']:.1f} rad/s, current={w1['current']:.2f} A")
print(f"D2: speed={w2['speed']:.1f} rad/s, current={w2['current']:.2f} A")
# Start everything
ctrl_handle = control()
mon_handle = monitor()
# Block until Ctrl+C
cawlib.block_all(timeout_ms=3000)
License
Proprietary - All rights reserved.
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