The full documentation is available here <documentation_>_.
Warning breaking change - Release 2.0 contains a breaking change; see the release notes <https://github.com/eclipse/paho.mqtt.python/releases/tag/v2.0.0>_ and migration details <https://eclipse.dev/paho/files/paho.mqtt.python/html/migrations.html>_.
This document describes the source code for the Eclipse Paho <http://eclipse.org/paho/>_ MQTT Python client library, which implements versions 5.0, 3.1.1, and 3.1 of the MQTT protocol.
This code provides a client class which enables applications to connect to an MQTT <http://mqtt.org/>_ broker to publish messages, and to subscribe to topics and receive published messages. It also provides some helper functions to make publishing one off messages to an MQTT server very straightforward.
It supports Python 3.7+.
The MQTT protocol is a machine-to-machine (M2M)/"Internet of Things" connectivity protocol. Designed as an extremely lightweight publish/subscribe messaging transport, it is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.
Paho is an Eclipse Foundation <https://www.eclipse.org/org/foundation/>_ project.
Known limitations_Usage and API_
Getting Started_Client_
Network loop_Callbacks_Logger_External event loop support_Global helper functions_Publish_
Single_Multiple_Subscribe_
Simple_Using Callback_Reporting bugs_More information_The latest stable version is available in the Python Package Index (PyPi) and can be installed using
::
pip install paho-mqtt
Or with virtualenv:
::
virtualenv paho-mqtt
source paho-mqtt/bin/activate
pip install paho-mqtt
To obtain the full code, including examples and tests, you can clone the git repository:
::
git clone https://github.com/eclipse/paho.mqtt.python
Once you have the code, it can be installed from your repository as well:
::
cd paho.mqtt.python
pip install -e .
To perform all tests (including MQTT v5 tests), you also need to clone paho.mqtt.testing in paho.mqtt.python folder::
git clone https://github.com/eclipse/paho.mqtt.testing.git
cd paho.mqtt.testing
git checkout a4dc694010217b291ee78ee13a6d1db812f9babd
The following are the known unimplemented MQTT features.
When clean_session is False, the session is only stored in memory and not persisted. This means that
when the client is restarted (not just reconnected, the object is recreated usually because the
program was restarted) the session is lost. This results in a possible message loss.
The following part of the client session is lost:
QoS 2 messages which have been received from the server, but have not been completely acknowledged.
Since the client will blindly acknowledge any PUBCOMP (last message of a QoS 2 transaction), it won't hang but will lose this QoS 2 message.
QoS 1 and QoS 2 messages which have been sent to the server, but have not been completely acknowledged.
This means that messages passed to publish() may be lost. This could be mitigated by taking care
that all messages passed to publish() have a corresponding on_publish() call or use wait_for_publish.
It also means that the broker may have the QoS2 message in the session. Since the client starts with an empty session it don't know it and will reuse the mid. This is not yet fixed.
Also, when clean_session is True, this library will republish QoS > 0 message across network
reconnection. This means that QoS > 0 message won't be lost. But the standard says that
we should discard any message for which the publish packet was sent. Our choice means that
we are not compliant with the standard and it's possible for QoS 2 to be received twice.
You should set clean_session = False if you need the QoS 2 guarantee of only one delivery.
Detailed API documentation is available online <documentation_>_ or could be built from docs/ and samples are available in the examples_ directory.
The package provides two modules, a full Client and few helpers for simple publishing or subscribing.
Getting Started
Here is a very simple example that subscribes to the broker $SYS topic tree and prints out the resulting messages:
.. code:: python
import paho.mqtt.client as mqtt
# The callback for when the client receives a CONNACK response from the server.
def on_connect(client, userdata, flags, reason_code, properties):
print(f"Connected with result code {reason_code}")
# Subscribing in on_connect() means that if we lose the connection and
# reconnect then subscriptions will be renewed.
client.subscribe("$SYS/#")
# The callback for when a PUBLISH message is received from the server.
def on_message(client, userdata, msg):
print(msg.topic+" "+str(msg.payload))
mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
mqttc.on_connect = on_connect
mqttc.on_message = on_message
mqttc.connect("mqtt.eclipseprojects.io", 1883, 60)
# Blocking call that processes network traffic, dispatches callbacks and
# handles reconnecting.
# Other loop*() functions are available that give a threaded interface and a
# manual interface.
mqttc.loop_forever()
Client
You can use the client class as an instance, within a class or by subclassing. The general usage flow is as follows:
connect*() functionsloop*() functions to maintain network traffic flow with the brokersubscribe() to subscribe to a topic and receive messagespublish() to publish messages to the brokerdisconnect() to disconnect from the brokerCallbacks will be called to allow the application to process events as necessary. These callbacks are described below.
Network loop
These functions are the driving force behind the client. If they are not
called, incoming network data will not be processed and outgoing network data
will not be sent. There are four options for managing the
network loop. Three are described here, the fourth in "External event loop
support" below. Do not mix the different loop functions.
loop_start() / loop_stop()
''''''''''''''''''''''''''
.. code:: python
mqttc.loop_start()
while True:
temperature = sensor.blocking_read()
mqttc.publish("paho/temperature", temperature)
mqttc.loop_stop()
These functions implement a threaded interface to the network loop. Calling
`loop_start()` once, before or after ``connect*()``, runs a thread in the
background to call `loop()` automatically. This frees up the main thread for
other work that may be blocking. This call also handles reconnecting to the
broker. Call `loop_stop()` to stop the background thread.
The loop is also stopped if you call `disconnect()`.
loop_forever()
''''''''''''''
.. code:: python
mqttc.loop_forever(retry_first_connection=False)
This is a blocking form of the network loop and will not return until the
client calls `disconnect()`. It automatically handles reconnecting.
Except for the first connection attempt when using `connect_async`, use
``retry_first_connection=True`` to make it retry the first connection.
*Warning*: This might lead to situations where the client keeps connecting to an
non existing host without failing.
loop()
''''''
.. code:: python
run = True
while run:
rc = mqttc.loop(timeout=1.0)
if rc != 0:
# need to handle error, possible reconnecting or stopping the application
Call regularly to process network events. This call waits in ``select()`` until
the network socket is available for reading or writing, if appropriate, then
handles the incoming/outgoing data. This function blocks for up to ``timeout``
seconds. ``timeout`` must not exceed the ``keepalive`` value for the client or
your client will be regularly disconnected by the broker.
Using this kind of loop, require you to handle reconnection strategie.
Callbacks
`````````
The interface to interact with paho-mqtt include various callback that are called by
the library when some events occur.
The callbacks are functions defined in your code, to implement the require action on those events. This could
be simply printing received message or much more complex behaviour.
Callbacks API is versioned, and the selected version is the `CallbackAPIVersion` you provided to `Client`
constructor. Currently two version are supported:
* ``CallbackAPIVersion.VERSION1``: it's the historical version used in paho-mqtt before version 2.0.
It's the API used before the introduction of `CallbackAPIVersion`.
This version is deprecated and will be removed in paho-mqtt version 3.0.
* ``CallbackAPIVersion.VERSION2``: This version is more consistent between protocol MQTT 3.x and MQTT 5.x. It's also
much more usable with MQTT 5.x since reason code and properties are always provided when available.
It's recommended for all user to upgrade to this version. It's highly recommended for MQTT 5.x user.
The following callbacks exists:
* `on_connect()`: called when the CONNACK from the broker is received. The call could be for a refused connection,
check the reason_code to see if the connection is successful or rejected.
* `on_connect_fail()`: called by `loop_forever()` and `loop_start()` when the TCP connection failed to establish.
This callback is not called when using `connect()` or `reconnect()` directly. It's only called following
an automatic (re)connection made by `loop_start()` and `loop_forever()`
* `on_disconnect()`: called when the connection is closed.
* `on_message()`: called when a MQTT message is received from the broker.
* `on_publish()`: called when an MQTT message was sent to the broker. Depending on QoS level the callback is called
at different moment:
* For QoS == 0, it's called as soon as the message is sent over the network. This could be before the corresponding ``publish()`` return.
* For QoS == 1, it's called when the corresponding PUBACK is received from the broker
* For QoS == 2, it's called when the corresponding PUBCOMP is received from the broker
* `on_subscribe()`: called when the SUBACK is received from the broker
* `on_unsubscribe()`: called when the UNSUBACK is received from the broker
* `on_log()`: called when the library log a message
* `on_socket_open`, `on_socket_close`, `on_socket_register_write`, `on_socket_unregister_write`: callbacks used for external loop support. See below for details.
For the signature of each callback, see the `online documentation <documentation_>`_.
Subscriber example
''''''''''''''''''
.. code:: python
import paho.mqtt.client as mqtt
def on_subscribe(client, userdata, mid, reason_code_list, properties):
# Since we subscribed only for a single channel, reason_code_list contains
# a single entry
if reason_code_list[0].is_failure:
print(f"Broker rejected you subscription: {reason_code_list[0]}")
else:
print(f"Broker granted the following QoS: {reason_code_list[0].value}")
def on_unsubscribe(client, userdata, mid, reason_code_list, properties):
# Be careful, the reason_code_list is only present in MQTTv5.
# In MQTTv3 it will always be empty
if len(reason_code_list) == 0 or not reason_code_list[0].is_failure:
print("unsubscribe succeeded (if SUBACK is received in MQTTv3 it success)")
else:
print(f"Broker replied with failure: {reason_code_list[0]}")
client.disconnect()
def on_message(client, userdata, message):
# userdata is the structure we choose to provide, here it's a list()
userdata.append(message.payload)
# We only want to process 10 messages
if len(userdata) >= 10:
client.unsubscribe("$SYS/#")
def on_connect(client, userdata, flags, reason_code, properties):
if reason_code.is_failure:
print(f"Failed to connect: {reason_code}. loop_forever() will retry connection")
else:
# we should always subscribe from on_connect callback to be sure
# our subscribed is persisted across reconnections.
client.subscribe("$SYS/#")
mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
mqttc.on_connect = on_connect
mqttc.on_message = on_message
mqttc.on_subscribe = on_subscribe
mqttc.on_unsubscribe = on_unsubscribe
mqttc.user_data_set([])
mqttc.connect("mqtt.eclipseprojects.io")
mqttc.loop_forever()
print(f"Received the following message: {mqttc.user_data_get()}")
publisher example
'''''''''''''''''
.. code:: python
import time
import paho.mqtt.client as mqtt
def on_publish(client, userdata, mid, reason_code, properties):
# reason_code and properties will only be present in MQTTv5. It's always unset in MQTTv3
try:
userdata.remove(mid)
except KeyError:
print("on_publish() is called with a mid not present in unacked_publish")
print("This is due to an unavoidable race-condition:")
print("* publish() return the mid of the message sent.")
print("* mid from publish() is added to unacked_publish by the main thread")
print("* on_publish() is called by the loop_start thread")
print("While unlikely (because on_publish() will be called after a network round-trip),")
print(" this is a race-condition that COULD happen")
print("")
print("The best solution to avoid race-condition is using the msg_info from publish()")
print("We could also try using a list of acknowledged mid rather than removing from pending list,")
print("but remember that mid could be re-used !")
unacked_publish = set()
mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
mqttc.on_publish = on_publish
mqttc.user_data_set(unacked_publish)
mqttc.connect("mqtt.eclipseprojects.io")
mqttc.loop_start()
# Our application produce some messages
msg_info = mqttc.publish("paho/test/topic", "my message", qos=1)
unacked_publish.add(msg_info.mid)
msg_info2 = mqttc.publish("paho/test/topic", "my message2", qos=1)
unacked_publish.add(msg_info2.mid)
# Wait for all message to be published
while len(unacked_publish):
time.sleep(0.1)
# Due to race-condition described above, the following way to wait for all publish is safer
msg_info.wait_for_publish()
msg_info2.wait_for_publish()
mqttc.disconnect()
mqttc.loop_stop()
Logger
``````
The Client emit some log message that could be useful during troubleshooting. The easiest way to
enable logs is the call `enable_logger()`. It's possible to provide a custom logger or let the
default logger being used.
Example:
.. code:: python
import logging
import paho.mqtt.client as mqtt
logging.basicConfig(level=logging.DEBUG)
mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
mqttc.enable_logger()
mqttc.connect("mqtt.eclipseprojects.io", 1883, 60)
mqttc.loop_start()
# Do additional action needed, publish, subscribe, ...
[...]
It's also possible to define a on_log callback that will receive a copy of all log messages. Example:
.. code:: python
import paho.mqtt.client as mqtt
def on_log(client, userdata, paho_log_level, messages):
if paho_log_level == mqtt.LogLevel.MQTT_LOG_ERR:
print(message)
mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2)
mqttc.on_log = on_log
mqttc.connect("mqtt.eclipseprojects.io", 1883, 60)
mqttc.loop_start()
# Do additional action needed, publish, subscribe, ...
[...]
The correspondence with Paho logging levels and standard ones is the following:
==================== ===============
Paho logging
==================== ===============
``MQTT_LOG_ERR`` ``logging.ERROR``
``MQTT_LOG_WARNING`` ``logging.WARNING``
``MQTT_LOG_NOTICE`` ``logging.INFO`` *(no direct equivalent)*
``MQTT_LOG_INFO`` ``logging.INFO``
``MQTT_LOG_DEBUG`` ``logging.DEBUG``
==================== ===============
External event loop support
To support other network loop like asyncio (see examples_), the library expose some method and callback to support those use-case.
The following loop method exists:
loop_read: should be called when the socket is ready for reading.loop_write: should be called when the socket is ready for writing AND the library want to write data.loop_misc: should be called every few seconds to handle message retrying and pings.In pseudo code, it give the following:
.. code:: python
while run:
if need_read:
mqttc.loop_read()
if need_write:
mqttc.loop_write()
mqttc.loop_misc()
if not need_read and not need_write:
# But don't wait more than few seconds, loop_misc() need to be called regularly
wait_for_change_in_need_read_or_write()
updated_need_read_and_write()
The tricky part is implementing the update of need_read / need_write and wait for condition change. To support this, the following method exists:
socket(): which return the socket object when the TCP connection is open.
This call is particularly useful for select_ based loops. See examples/loop_select.py.
want_write(): return true if there is data waiting to be written. This is close to the
need_writew of above pseudo-code, but you should also check whether the socket is ready for writing.
callbacks on_socket_*:
on_socket_open: called when the socket is opened.on_socket_close: called when the socket is about to be closed.on_socket_register_write: called when there is data the client want to write on the socketon_socket_unregister_write: called when there is no more data to write on the socket.Callbacks are particularly useful for event loops where you register or unregister a socket
for reading+writing. See examples/loop_asyncio.py for an example.
.. _select: https://docs.python.org/3/library/select.html#select.select
The callbacks are always called in this order:
on_socket_open
Zero or more times:
on_socket_register_writeon_socket_unregister_writeon_socket_close
Global helper functions
The client module also offers some global helper functions.
``topic_matches_sub(sub, topic)`` can be used to check whether a ``topic``
matches a ``subscription``.
For example:
the topic ``foo/bar`` would match the subscription ``foo/#`` or ``+/bar``
the topic ``non/matching`` would not match the subscription ``non/+/+``
Publish
*******
This module provides some helper functions to allow straightforward publishing
of messages in a one-shot manner. In other words, they are useful for the
situation where you have a single/multiple messages you want to publish to a
broker, then disconnect with nothing else required.
The two functions provided are `single()` and `multiple()`.
Both functions include support for MQTT v5.0, but do not currently let you
set any properties on connection or when sending messages.
Single
``````
Publish a single message to a broker, then disconnect cleanly.
Example:
.. code:: python
import paho.mqtt.publish as publish
publish.single("paho/test/topic", "payload", hostname="mqtt.eclipseprojects.io")
Multiple
````````
Publish multiple messages to a broker, then disconnect cleanly.
Example:
.. code:: python
from paho.mqtt.enums import MQTTProtocolVersion
import paho.mqtt.publish as publish
msgs = [{'topic':"paho/test/topic", 'payload':"multiple 1"},
("paho/test/topic", "multiple 2", 0, False)]
publish.multiple(msgs, hostname="mqtt.eclipseprojects.io", protocol=MQTTProtocolVersion.MQTTv5)
Subscribe
*********
This module provides some helper functions to allow straightforward subscribing
and processing of messages.
The two functions provided are `simple()` and `callback()`.
Both functions include support for MQTT v5.0, but do not currently let you
set any properties on connection or when subscribing.
Simple
``````
Subscribe to a set of topics and return the messages received. This is a
blocking function.
Example:
.. code:: python
import paho.mqtt.subscribe as subscribe
msg = subscribe.simple("paho/test/topic", hostname="mqtt.eclipseprojects.io")
print("%s %s" % (msg.topic, msg.payload))
Using Callback
``````````````
Subscribe to a set of topics and process the messages received using a user
provided callback.
Example:
.. code:: python
import paho.mqtt.subscribe as subscribe
def on_message_print(client, userdata, message):
print("%s %s" % (message.topic, message.payload))
userdata["message_count"] += 1
if userdata["message_count"] >= 5:
# it's possible to stop the program by disconnecting
client.disconnect()
subscribe.callback(on_message_print, "paho/test/topic", hostname="mqtt.eclipseprojects.io", userdata={"message_count": 0})
Reporting bugs
--------------
Please report bugs in the issues tracker at https://github.com/eclipse/paho.mqtt.python/issues.
More information
----------------
Discussion of the Paho clients takes place on the `Eclipse paho-dev mailing list <https://dev.eclipse.org/mailman/listinfo/paho-dev>`_.
General questions about the MQTT protocol itself (not this library) are discussed in the `MQTT Google Group <https://groups.google.com/forum/?fromgroups#!forum/mqtt>`_.
There is much more information available via the `MQTT community site <http://mqtt.org/>`_.
.. _examples: https://github.com/eclipse/paho.mqtt.python/tree/master/examples
.. _documentation: https://eclipse.dev/paho/files/paho.mqtt.python/html/client.html
FAQs
MQTT version 5.0/3.1.1 client class
We found that paho-mqtt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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