A Python implementation of the CANopen standard. The aim of the project is to support the most common parts of the CiA 301 standard in a simple Pythonic interface. It is mainly targeted for testing and automation tasks rather than a standard compliant master implementation.
The library supports Python 3.9 or newer.
This library is the asyncio port of CANopen. It is a fork of the upstream canopen library, adding support for running in an asyncio environment.
The library can be run in two modes: regular mode or in async mode. In regular mode, calls to the library may block until a response is ready. In async mode it is possible to read and write to more than one node at the same time without the need of multiple threads.
There is ongoing work to merge this asyncio port back into the upstream canopen library. This is not yet complete, and this package was created to be able to use the asyncio port in the meantime. When the merge is complete, this package will be deprecated and the upstream library will support asyncio natively.
See canopen asyncio issue and canopen asyncio PR for more information about the merge.
The library is mainly meant to be used as a master.
- NMT master
- SDO client
- PDO producer/consumer
- SYNC producer
- EMCY consumer
- TIME producer
- LSS master
- Object Dictionary from EDS
- 402 profile support
Incomplete support for creating slave nodes also exists.
- SDO server
- PDO producer/consumer
- NMT slave
- EMCY producer
- Object Dictionary from EDS
Install from PyPI using pip:
$ pip install canopen-asyncio
Install from latest master on GitHub:
$ pip install https://github.com/sveinse/canopen-asyncio/archive/main.zip
If you want to be able to change the code while using it, clone it then install it in develop mode:
$ git clone https://github.com/sveinse/canopen-asyncio.git $ cd canopen-asyncio $ pip install -e .
Unit tests can be run using the pytest framework:
$ pip install -r requirements-dev.txt $ pytest -v
You can also use unittest standard library module:
$ python3 -m unittest discover test -v
NOTE: The documentation is not yet updated for the asyncio port. These docs are for the upstream canopen library.
Documentation can be found on Read the Docs:
http://canopen.readthedocs.io/en/latest/
It can also be generated from a local clone using Sphinx:
$ pip install -r doc/requirements.txt $ make -C doc html
This library supports multiple hardware and drivers through the python-can package. See the list of supported devices.
It is also possible to integrate this library with a custom backend.
To minimize the impact of the async changes, this port is designed to use the
existing synchronous backend of the library. This means that the library
uses asyncio.to_thread() for many asynchronous operations.
This port remains compatible with using it in a regular non-asyncio
environment. This is selected with the loop parameter in the
Network constructor. If you pass a valid asyncio event loop, the
library will run in async mode. If you pass loop=None, it will run in
regular blocking mode. It cannot be used in both modes at the same time.
This port have some differences with the upstream non-async version of canopen.
The async use of
Networkmust be used in an async context. This is required to setup the async tasks and handles proper cleanup and exception handling.- async with canopen.Network().connect() as network:
# do async stuff with network
Most async functions follow an "a" prefix naming scheme. E.g. the async variant for
SdoClient.download()is available asSdoClient.adownload().Variables in the regular canopen library uses properties for getting and setting. This is replaced with awaitable methods in the async version.
var = sdo['Variable'].raw # synchronous sdo['Variable'].raw = 12 # synchronous
var = await sdo['Variable'] # async var = await sdo['Variable'].aread() # async (equivalent) await sdo['Variable'].awrite(12) # async
Opt-in
ensure_not_async()sentinel guard in functions which prevents calling blocking functions in async context. It will raise the exceptionRuntimeError"Calling a blocking function" when this happen. If this is encountered, the code is not using the async variants of the library when it shouldn't.To enable it call
canopen.async_guard.enable_async_guard(True)in your main thread/main loop.The callbacks to the message handlers have been changed to be handled by
Network.dispatch_callbacks(). They are no longer called with any locks held, as this would not work with async. This affects:PdoMaps.on_messageEmcyConsumer.on_emcyNtmMaster.on_heartbaet
SDO block upload and download is not yet supported in async mode.
BaseNode402does not work with asyncBitsis not working differently in async mode. In non-async mode, the raw value is read from the node when theBitsobject is created. In async mode, the raw value must be manually read by callingawait bits.aread()before accessing the bits.
Here are some quick examples of what you can do with the async port:
import asyncio
import canopen_ayncio as canopen
import can
async def my_node(network, nodeid, od):
# Create the node object and load the OD
node = network.add_node(nodeid, od)
# Read a variable using SDO
device_name = await node.sdo['Manufacturer device name'].aget_raw()
vendor_id = await node.sdo[0x1018][1].aget_raw()
# Write a variable using SDO
await node.sdo['Producer heartbeat time'].aset_raw(1000)
# Read the PDOs from the remote
await node.tpdo.aread()
await node.rpdo.aread()
# Set the module state
node.nmt.set_state('OPERATIONAL')
# Set motor speed via SDO
await node.sdo['MotorSpeed'].awrite(2)
while True:
# Wait for TPDO 1
t = await node.tpdo[1].await_for_reception(1)
if not t:
continue
# Get the TPDO 1 value
rpm = node.tpdo[1]['MotorSpeed Actual'].raw
print(f'SPEED on motor {nodeid}:', rpm)
# Sleep a little
await asyncio.sleep(0.2)
# Send RPDO 1 with some data
node.rpdo[1]['Some variable'].awrite(42, "phys")
node.rpdo[1].transmit()
async def main():
# Connect to the CAN bus
# Arguments are passed to python-can's can.Bus() constructor
# (see https://python-can.readthedocs.io/en/latest/bus.html).
# Note the loop parameter to enable asyncio operation
#
# Connect alternative interfaces:
# connect(interface='socketcan', channel='can0')
# connect(interface='kvaser', channel=0, bitrate=250000)
# connect(interface='pcan', channel='PCAN_USBBUS1', bitrate=250000)
# connect(interface='ixxat', channel=0, bitrate=250000)
# connect(interface='vector', app_name='CANalyzer', channel=0, bitrate=250000)
# connect(interface='nican', channel='CAN0', bitrate=250000)
loop = asyncio.get_running_loop()
async with canopen.Network(loop=loop).connect(
interface='pcan', bitrate=1000000) as network:
# Create two independent tasks for two nodes 51 and 52 which will run concurrently
task1 = asyncio.create_task(my_node(network, 51, '/path/to/object_dictionary.eds'))
task2 = asyncio.create_task(my_node(network, 52, '/path/to/object_dictionary.eds'))
# Wait for both to complete (which will never happen)
await asyncio.gather((task1, task2))
asyncio.run(main())If you need to see what's going on in better detail, you can increase the logging level:
import logging
logging.basicConfig(level=logging.DEBUG)