CPython supports asynchronous programming via the asyncio
library.
MicroPython provides uasyncio
which is a subset of this, optimised for small
code size and high performance on bare metal targets. This repository provides
documentation, tutorial material and code to aid in its effective use. It also
contains an optional fast_io
variant of uasyncio
.
Damien has completely rewritten uasyncio
. Its release is likely to be
imminent, see
PR5332 and below.
This comprises two parts.
- The fast_io version of
uasyncio
is a "drop in" replacement for the official version providing bug fixes, additional functionality and, in certain respects, higher performance. - An optional extension module enabling the fast_io version to run with very low power draw. This is Pyboard-only including Pyboard D.
- A tutorial An introductory tutorial on asynchronous
programming and the use of the
uasyncio
library. - Asynchronous device drivers. A module providing drivers for devices such as switches and pushbuttons.
- Synchronisation primitives. Provides commonly used synchronisation primitives plus an API for task cancellation and monitoring.
- A driver for an IR remote control This is intended as an example of an asynchronous device driver. It decodes signals received from infra red remote controls using the popular NEC protocol.
- A driver for the HTU21D temperature and humidity sensor. This is intended to be portable across platforms and is another example of an asynchronous device driver.
- A driver for character LCD displays. A simple asynchronous interface to displays based on the Hitachi HD44780 chip.
- A driver for GPS modules Runs a background task to read and decode NMEA sentences, providing constantly updated position, course, altitude and time/date information.
- Communication using I2C slave mode. Enables a Pyboard to to communicate with another MicroPython device using stream I/O. The Pyboard achieves bidirectional communication with targets such as an ESP8266.
- Communication between devices Enables MicroPython boards to communicate without using a UART. This is hardware agnostic but slower than the I2C version.
- Under the hood A guide to help understand the
uasyncio
code. For scheduler geeks and those wishing to modifyuasyncio
.
Paul Sokolovsky (uasyncio
author) has released versions of uasyncio
which
supercede the official version. His latest version is that on PyPi and requires
his Pycopy fork of MicroPython
firmware. His uasyncio
code may also be found in
his fork of micropython-lib.
I support only the official build of MicroPython. The library code guaranteed to work with this build is in micropython-lib. Most of the resources in here should work with Paul's forks (most work with CPython).
Most documentation and code in this repository assumes the current official
version of uasyncio
. This is V2.0 from
micropython-lib.
It is recommended to use MicroPython firmware V1.11 or later. On many platforms
uasyncio
is incorporated and no installation is required.
Some examples illustrate features of the fast_io
fork and therefore require
this version.
See tutorial for
installation instructions where uasyncio
is not pre-installed.
This complete rewrite of uasyncio
supports CPython 3.8 syntax. A design aim
is that it should be be a compatible subset of asyncio
. Many applications
using the coding style advocated in the tutorial will work unchanged. The
following features will involve minor changes to application code:
- Task cancellation:
cancel
is now a method of aTask
instance. - Event loop methods:
call_at
,call_later
,call_later_ms
andcall_soon
are no longer supported. In CPython docs these are lightly deprecated in application code; there are simple workrounds. yield
in coroutines should be replaced byawait asyncio.sleep_ms(0)
: this is in accord with CPython whereyield
will produce a syntax error.- Awaitable classes: currently under discussion. The
__iter__
method works butyield
should be replaced byawait asyncio.sleep_ms(0)
. As yet I have found no way to write an awaitable class compatible with the newuasyncio
and which does not throw syntax errors under CPython 3.8/asyncio
.
It is planned to retain V2 under a different name. The new version fixes bugs which have been outstanding for a long time. In my view V2 is best viewed as deprecated. I will retain V2-specific code and docs in a separate directory, with the rest of this repo being adapted for the new version.
This requires only minor changes.
The fast_io
fork is incompatible and will be relegated to the V2 directory.
The new version's design greatly simplifies the implementation of fast I/O:
I therefore hope the new uasyncio
will include it. The other principal aims
were to provide workrounds for bugs now fixed. If uasyncio
includes fast I/O
there is no reason to fork the new version; other fast_io
features will be
lost unless Damien sees fit to implement them. The low priority task option is
little used and arguably is ill-conceived: I will not be advocating for its
inclusion.
The CPython asyncio
library supports these synchronisation primitives:
Lock
- already incorporated in newuasyncio
.Event
- already incorporated.gather
- already incorporated.Semaphore
andBoundedSemaphore
. My classes work under new version.Condition
. Works under new version.Queue
. This was implemented by Paul Sokolvsky inuasyncio.queues
.
Incorporating these will produce more efficient implementations; my solutions
were designed to work with stock uasyncio
V2.
The Event
class in asyn.py
provides a nonstandard option to supply a data
value to the .set
method and to retrieve this with .value
. It is also an
awaitable class. I will support these by subclassing the native Event
.
The following work under new and old versions:
Barrier
(now adapted).Delay_ms
(this and the following in aswitch.py)Switch
Pushbutton
The following were workrounds for bugs and omissions in V2 which are now fixed. They will be removed.
- The cancellation decorators and classes (cancellation works as per CPython).
- The nonstandard support for
gather
(now properly supported).
These notes are intended for users familiar with asyncio
under CPython.
The MicroPython language is based on CPython 3.4. The uasyncio
library
supports a subset of the CPython 3.4 asyncio
library with some V3.5
extensions. In addition there are non-standard extensions to optimise services
such as millisecond level timing and task cancellation. Its design focus is on
high performance and scheduling is performed without RAM allocation.
The uasyncio
library supports the following Python 3.5 features:
async def
andawait
syntax.- Awaitable classes (using
__iter__
rather than__await__
). - Asynchronous context managers.
- Asynchronous iterators.
- Event loop methods
call_soon
andcall_later
. sleep(seconds)
.
It supports millisecond level timing with the following:
- Event loop method
call_later_ms
- uasyncio
sleep_ms(time)
uasyncio
V2 supports coroutine timeouts and cancellation.
wait_for(coro, t_secs)
runscoro
with a timeout.cancel(coro)
tagscoro
for cancellation when it is next scheduled.
Classes Task
and Future
are not supported.
Asynchronous I/O (StreamReader
and StreamWriter
classes) support devices
with streaming drivers, such as UARTs and sockets. It is now possible to write
streaming device drivers in Python.
For timing asyncio uses floating point values of seconds. The uasyncio.sleep
method accepts floats (including sub-second values) or integers. Note that in
MicroPython the use of floats implies RAM allocation which incurs a performance
penalty. The design of uasyncio
enables allocation-free scheduling. In
applications where performance is an issue, integers should be used and the
millisecond level functions (with integer arguments) employed where necessary.
The loop.time
method returns an integer number of milliseconds whereas
CPython returns a floating point number of seconds. call_at
follows the
same convention.
Official uasyncio
suffers from high levels of latency when scheduling I/O in
typical applications. It also has an issue which can cause bidirectional
devices such as UART's to block. The fast_io
version fixes the bug. It also
provides a facility for reducing I/O latency which can substantially improve
the performance of stream I/O drivers. It provides other features aimed at
providing greater control over scheduling behaviour.
To take advantage of the reduced latency device drivers should be written to
employ stream I/O. To operate at low latency they are simply run under the
fast_io
version. The tutorial
has details of how to write streaming drivers.
The current fast_io
version 0.24 fixes an issue with task cancellation and
timeouts. In uasyncio
version 2.0, where a coroutine is waiting on a
sleep()
or on I/O, a timeout or cancellation is deferred until the coroutine
is next scheduled. This introduces uncertainty into when the coroutine is
stopped. This issue is also addressed in Paul Sokolovsky's fork.
This is documented here. In essence a Python file is
placed on the device which configures the fast_io
version of uasyncio
to
reduce power consumption at times when it is not busy. This provides a means of
using uasyncio
in battery powered projects.
This library (docs) provides 'micro' implementations of the
asyncio
synchronisation primitives.
CPython docs
It also supports a Barrier
class to facilitate coroutine synchronisation.
Coroutine cancellation is performed in an efficient manner in uasyncio
. The
asyn
library uses this, further enabling the cancelling coro to pause until
cancellation is complete. It also provides a means of checking the 'running'
status of individual coroutines.
A lightweight implementation of asyncio.gather
is provided.