New Version Available ============================= A new AWS IoT Device SDK is [now available](https://github.com/awslabs/aws-iot-device-sdk-python-v2). It is a complete rework, built to improve reliability, performance, and security. We invite your feedback! This SDK will no longer receive feature updates, but will receive security updates. AWS IoT Device SDK for Python ============================= The AWS IoT Device SDK for Python allows developers to write Python script to use their devices to access the AWS IoT platform through `MQTT or MQTT over the WebSocket protocol `__. By connecting their devices to AWS IoT, users can securely work with the message broker, rules, and the device shadow (sometimes referred to as a thing shadow) provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, and more. - Overview_ - Installation_ - `Use the SDK`_ - `Key Features`_ - Examples_ - `API Documentation`_ - License_ - Support_ -------------- .. _Overview: Overview ~~~~~~~~ This document provides instructions for installing and configuring the AWS IoT Device SDK for Python. It includes examples demonstrating the use of the SDK APIs. MQTT Connections ________________ The SDK is built on top of a modified `Paho MQTT Python client library `__. Developers can choose from two types of connections to connect to AWS IoT: - MQTT (over TLS 1.2) with X.509 certificate-based mutual authentication. - MQTT over the WebSocket protocol with AWS Signature Version 4 authentication. - MQTT (over TLS 1.2) with X.509 certificate-based mutual authentication with TLS ALPN extension. For MQTT over TLS (port 8883 and port 443), a valid certificate and a private key are required for authentication. For MQTT over the WebSocket protocol (port 443), a valid AWS Identity and Access Management (IAM) access key ID and secret access key pair are required for authentication. Device Shadow _____________ A device shadow, or thing shadow, is a JSON document that is used to store and retrieve current state information for a thing (device, app, and so on). A shadow can be created and maintained for each thing or device so that its state can be get and set regardless of whether the thing or device is connected to the Internet. The SDK implements the protocol for applications to retrieve, update, and delete shadow documents. The SDK allows operations on shadow documents of single or multiple shadow instances in one MQTT connection. The SDK also allows the use of the same connection for shadow operations and non-shadow, simple MQTT operations. .. _Installation: Installation ~~~~~~~~~~~~ Minimum Requirements ____________________ - Python 2.7+ or Python 3.3+ for X.509 certificate-based mutual authentication via port 8883 and MQTT over WebSocket protocol with AWS Signature Version 4 authentication - Python 2.7.10+ or Python 3.5+ for X.509 certificate-based mutual authentication via port 443 - OpenSSL version 1.0.1+ (TLS version 1.2) compiled with the Python executable for X.509 certificate-based mutual authentication To check your version of OpenSSL, use the following command in a Python interpreter: .. code-block:: python >>> import ssl >>> ssl.OPENSSL_VERSION Install from pip ________________ .. code-block:: sh pip install AWSIoTPythonSDK Build from source _________________ .. code-block:: sh git clone https://github.com/aws/aws-iot-device-sdk-python.git cd aws-iot-device-sdk-python python setup.py install Download the zip file _____________________ The SDK zip file is available `here `__. Unzip the package and install the SDK like this: .. code-block:: python python setup.py install .. _Use_the_SDK: Use the SDK ~~~~~~~~~~~ Collection of Metrics _____________________ Beginning with Release v1.3.0 of the SDK, AWS collects usage metrics indicating which language and version of the SDK is being used. This feature is enabled by default and allows us to prioritize our resources towards addressing issues faster in SDKs that see the most and is an important data point. However, we do understand that not all customers would want to report this data. In that case, the sending of usage metrics can be easily disabled by the user using the corresponding API: .. code-block:: python # AWS IoT MQTT Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.enableMetricsCollection() AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.disableMetricsCollection() # AWS IoT MQTT Shadow Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTShadowClient.enableMetricsCollection() AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTShadowClient.disableMetricsCollection() Credentials ___________ The SDK supports two types of credentials that correspond to the two connection types: - X.509 certificate For the certificate-based mutual authentication connection type. Download the `AWS IoT root CA `__. Use the AWS IoT console to create and download the certificate and private key. You must specify the location of these files when you initialize the client. - IAM credentials For the Websocket with Signature Version 4 authentication type. You will need IAM credentials: an access key ID, a secret access key, and an optional session token. You must also download the `AWS IoT root CA `__. You can specify the IAM credentials by: - Passing method parameters The SDK will first call the following method to check if there is any input for a custom IAM credentials configuration: .. code-block:: python # AWS IoT MQTT Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.configureIAMCredentials(obtainedAccessKeyID, obtainedSecretAccessKey, obtainedSessionToken) # AWS IoT MQTT Shadow Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTShadowClient.configureIAMCredentials(obtainedAccessKeyID, obtainedSecretAccessKey, obtainedSessionToken) Note: We do not recommend hard-coding credentials in a custom script. You can use `Amazon Cognito Identity `__ or another credential provider. - Exporting environment variables If there is no custom configuration through method calls, the SDK will then check these environment variables for credentials: ``AWS_ACCESS_KEY_ID`` The access key for your AWS account. ``AWS_SECRET_ACCESS_KEY`` The secret key for your AWS account. ``AWS_SESSION_TOKEN`` The session key for your AWS account. This is required only when you are using temporary credentials. For more information, see `here `__. You can set your IAM credentials as environment variables by using the preconfigured names. For Unix systems, you can do the following: .. code-block:: sh export AWS_ACCESS_KEY_ID= export AWS_SECRET_ACCESS_KEY= export AWS_SESSION_TOKEN= For Windows, open ``Control Panel`` and choose ``System``. In ``Advanced system settings`` choose ``Environment Variables`` and then configure the required environment variables. - Configuring shared credentials file If there are no such environment variables specified, the SDK will check the **default** section for a shared credentials file (in Unix, ``~/.aws/credentials`` and in Windows, ``%UserProfile%\.aws\credentials``) as follows: .. code-block:: sh [default] aws_access_key_id=foo aws_secret_access_key=bar aws_session_token=baz You can use the AWS CLI to configure the shared credentials file `__: .. code-block:: sh aws configure AWSIoTMQTTClient ________________ This is the client class used for plain MQTT communication with AWS IoT. You can initialize and configure the client like this: .. code-block:: python # Import SDK packages from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient # For certificate based connection myMQTTClient = AWSIoTMQTTClient("myClientID") # For Websocket connection # myMQTTClient = AWSIoTMQTTClient("myClientID", useWebsocket=True) # Configurations # For TLS mutual authentication myMQTTClient.configureEndpoint("YOUR.ENDPOINT", 8883) # For Websocket # myMQTTClient.configureEndpoint("YOUR.ENDPOINT", 443) # For TLS mutual authentication with TLS ALPN extension # myMQTTClient.configureEndpoint("YOUR.ENDPOINT", 443) myMQTTClient.configureCredentials("YOUR/ROOT/CA/PATH", "PRIVATE/KEY/PATH", "CERTIFICATE/PATH") # For Websocket, we only need to configure the root CA # myMQTTClient.configureCredentials("YOUR/ROOT/CA/PATH") myMQTTClient.configureOfflinePublishQueueing(-1) # Infinite offline Publish queueing myMQTTClient.configureDrainingFrequency(2) # Draining: 2 Hz myMQTTClient.configureConnectDisconnectTimeout(10) # 10 sec myMQTTClient.configureMQTTOperationTimeout(5) # 5 sec ... For basic MQTT operations, your script will look like this: .. code-block:: python ... myMQTTClient.connect() myMQTTClient.publish("myTopic", "myPayload", 0) myMQTTClient.subscribe("myTopic", 1, customCallback) myMQTTClient.unsubscribe("myTopic") myMQTTClient.disconnect() ... AWSIoTShadowClient __________________ This is the client class used for device shadow operations with AWS IoT. You can initialize and configure the client like this: .. code-block:: python from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTShadowClient # For certificate based connection myShadowClient = AWSIoTMQTTShadowClient("myClientID") # For Websocket connection # myMQTTClient = AWSIoTMQTTClient("myClientID", useWebsocket=True) # Configurations # For TLS mutual authentication myShadowClient.configureEndpoint("YOUR.ENDPOINT", 8883) # For Websocket # myShadowClient.configureEndpoint("YOUR.ENDPOINT", 443) # For TLS mutual authentication with TLS ALPN extension # myShadowClient.configureEndpoint("YOUR.ENDPOINT", 443) myShadowClient.configureCredentials("YOUR/ROOT/CA/PATH", "PRIVATE/KEY/PATH", "CERTIFICATE/PATH") # For Websocket, we only need to configure the root CA # myShadowClient.configureCredentials("YOUR/ROOT/CA/PATH") myShadowClient.configureConnectDisconnectTimeout(10) # 10 sec myShadowClient.configureMQTTOperationTimeout(5) # 5 sec ... For shadow operations, your script will look like this: .. code-block:: python ... myShadowClient.connect() # Create a device shadow instance using persistent subscription myDeviceShadow = myShadowClient.createShadowHandlerWithName("Bot", True) # Shadow operations myDeviceShadow.shadowGet(customCallback, 5) myDeviceShadow.shadowUpdate(myJSONPayload, customCallback, 5) myDeviceShadow.shadowDelete(customCallback, 5) myDeviceShadow.shadowRegisterDeltaCallback(customCallback) myDeviceShadow.shadowUnregisterDeltaCallback() ... You can also retrieve the MQTTClient(MQTT connection) to perform plain MQTT operations along with shadow operations: .. code-block:: python myMQTTClient = myShadowClient.getMQTTConnection() myMQTTClient.publish("plainMQTTTopic", "Payload", 1) AWSIoTMQTTThingJobsClient __________________ This is the client class used for jobs operations with AWS IoT. See docs here: https://docs.aws.amazon.com/iot/latest/developerguide/iot-jobs.html You can initialize and configure the client like this: .. code-block:: python from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTThingJobsClient # For certificate based connection myJobsClient = AWSIoTMQTTThingJobsClient("myClientID", "myThingName") # For Websocket connection # myJobsClient = AWSIoTMQTTThingJobsClient("myClientID", "myThingName", useWebsocket=True) # Configurations # For TLS mutual authentication myJobsClient.configureEndpoint("YOUR.ENDPOINT", 8883) # For Websocket # myJobsClient.configureEndpoint("YOUR.ENDPOINT", 443) myJobsClient.configureCredentials("YOUR/ROOT/CA/PATH", "PRIVATE/KEY/PATH", "CERTIFICATE/PATH") # For Websocket, we only need to configure the root CA # myJobsClient.configureCredentials("YOUR/ROOT/CA/PATH") myJobsClient.configureConnectDisconnectTimeout(10) # 10 sec myJobsClient.configureMQTTOperationTimeout(5) # 5 sec ... For job operations, your script will look like this: .. code-block:: python ... myJobsClient.connect() # Create a subsciption for $notify-next topic myJobsClient.createJobSubscription(notifyNextCallback, jobExecutionTopicType.JOB_NOTIFY_NEXT_TOPIC) # Create a subscription for update-job-execution accepted response topic myJobsClient.createJobSubscription(updateSuccessfulCallback, jobExecutionTopicType.JOB_UPDATE_TOPIC, jobExecutionTopicReplyType.JOB_ACCEPTED_REPLY_TYPE, '+') # Send a message to start the next pending job (if any) myJobsClient.sendJobsStartNext(statusDetailsDict) # Send a message to update a successfully completed job myJobsClient.sendJobsUpdate(jobId, jobExecutionStatus.JOB_EXECUTION_SUCCEEDED, statusDetailsDict) ... You can also retrieve the MQTTClient(MQTT connection) to perform plain MQTT operations along with shadow operations: .. code-block:: python myMQTTClient = myJobsClient.getMQTTConnection() myMQTTClient.publish("plainMQTTTopic", "Payload", 1) DiscoveryInfoProvider _____________________ This is the client class for device discovery process with AWS IoT Greengrass. You can initialize and configure the client like this: .. code-block:: python from AWSIoTPythonSDK.core.greengrass.discovery.providers import DiscoveryInfoProvider discoveryInfoProvider = DiscoveryInfoProvider() discoveryInfoProvider.configureEndpoint("YOUR.IOT.ENDPOINT") discoveryInfoProvider.configureCredentials("YOUR/ROOT/CA/PATH", "CERTIFICATE/PATH", "PRIVATE/KEY/PATH") discoveryInfoProvider.configureTimeout(10) # 10 sec To perform the discovery process for a Greengrass Aware Device (GGAD) that belongs to a deployed group, your script should look like this: .. code-block:: python discoveryInfo = discoveryInfoProvider.discover("myGGADThingName") # I know nothing about the group/core I want to connect to. I want to iterate through all cores and find out. coreList = discoveryInfo.getAllCores() groupIdCAList = discoveryInfo.getAllCas() # list([(groupId, ca), ...]) # I know nothing about the group/core I want to connect to. I want to iterate through all groups and find out. groupList = discoveryInfo.getAllGroups() # I know exactly which group, which core and which connectivity info I need to connect. connectivityInfo = discoveryInfo.toObjectAtGroupLevel()["YOUR_GROUP_ID"] .getCoreConnectivityInfo("YOUR_CORE_THING_ARN") .getConnectivityInfo("YOUR_CONNECTIVITY_ID") # Connecting logic follows... ... For more information about discovery information access at group/core/connectivity info set level, please refer to the API documentation for ``AWSIoTPythonSDK.core.greengrass.discovery.models``, `Greengrass Discovery documentation `__ or `Greengrass overall documentation `__. Synchronous APIs and Asynchronous APIs ______________________________________ Beginning with Release v1.2.0, SDK provides asynchronous APIs and enforces synchronous API behaviors for MQTT operations, which includes: - connect/connectAsync - disconnect/disconnectAsync - publish/publishAsync - subscribe/subscribeAsync - unsubscribe/unsubscribeAsync - Asynchronous APIs Asynchronous APIs translate the invocation into MQTT packet and forward it to the underneath connection to be sent out. They return immediately once packets are out for delivery, regardless of whether the corresponding ACKs, if any, have been received. Users can specify their own callbacks for ACK/message (server side PUBLISH) processing for each individual request. These callbacks will be sequentially dispatched and invoked upon the arrival of ACK/message (server side PUBLISH) packets. - Synchronous APIs Synchronous API behaviors are enforced by registering blocking ACK callbacks on top of the asynchronous APIs. Synchronous APIs wait on their corresponding ACK packets, if there is any, before the invocation returns. For example, a synchronous QoS1 publish call will wait until it gets its PUBACK back. A synchronous subscribe call will wait until it gets its SUBACK back. Users can configure operation time out for synchronous APIs to stop the waiting. Since callbacks are sequentially dispatched and invoked, calling synchronous APIs within callbacks will deadlock the user application. If users are inclined to utilize the asynchronous mode and perform MQTT operations within callbacks, asynchronous APIs should be used. For more details, please check out the provided samples at ``samples/basicPubSub/basicPubSub_APICallInCallback.py`` .. _Key_Features: Key Features ~~~~~~~~~~~~ Progressive Reconnect Back Off ______________________________ When a non-client-side disconnect occurs, the SDK will reconnect automatically. The following APIs are provided for configuration: .. code-block:: python # AWS IoT MQTT Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.configureAutoReconnectBackoffTime(baseReconnectQuietTimeSecond, maxReconnectQuietTimeSecond, stableConnectionTimeSecond) # AWS IoT MQTT Shadow Client AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTShadowClient.configureAutoReconnectBackoffTime(baseReconnectQuietTimeSecond, maxReconnectQuietTimeSecond, stableConnectionTimeSecond) The auto-reconnect occurs with a progressive backoff, which follows this mechanism for reconnect backoff time calculation: t\ :sup:`current` = min(2\ :sup:`n` t\ :sup:`base`, t\ :sup:`max`) where t\ :sup:`current` is the current reconnect backoff time, t\ :sup:`base` is the base reconnect backoff time, t\ :sup:`max` is the maximum reconnect backoff time. The reconnect backoff time will be doubled on disconnect and reconnect attempt until it reaches the preconfigured maximum reconnect backoff time. After the connection is stable for over the ``stableConnectionTime``, the reconnect backoff time will be reset to the ``baseReconnectQuietTime``. If no ``configureAutoReconnectBackoffTime`` is called, the following default configuration for backoff timing will be performed on initialization: .. code-block:: python baseReconnectQuietTimeSecond = 1 maxReconnectQuietTimeSecond = 32 stableConnectionTimeSecond = 20 Offline Requests Queueing with Draining _______________________________________ If the client is temporarily offline and disconnected due to network failure, publish/subscribe/unsubscribe requests will be added to an internal queue until the number of queued-up requests reaches the size limit of the queue. This functionality is for plain MQTT operations. Shadow client contains time-sensitive data and is therefore not supported. The following API is provided for configuration: .. code-block:: python AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.configureOfflinePublishQueueing(queueSize, dropBehavior) After the queue is full, offline publish/subscribe/unsubscribe requests will be discarded or replaced according to the configuration of the drop behavior: .. code-block:: python # Drop the oldest request in the queue AWSIoTPythonSDK.MQTTLib.DROP_OLDEST = 0 # Drop the newest request in the queue AWSIoTPythonSDK.MQTTLib.DROP_NEWEST = 1 Let's say we configure the size of offlinePublishQueue to 5 and we have 7 incoming offline publish requests. In a ``DROP_OLDEST`` configuration: .. code-block:: python myClient.configureOfflinePublishQueueing(5, AWSIoTPythonSDK.MQTTLib.DROP_OLDEST); The internal queue should be like this when the queue is just full: .. code-block:: sh HEAD ['pub_req1', 'pub_req2', 'pub_req3', 'pub_req4', 'pub_req5'] When the 6th and the 7th publish requests are made offline, the internal queue will be like this: .. code-block:: sh HEAD ['pub_req3', 'pub_req4', 'pub_req5', 'pub_req6', 'pub_req7'] Because the queue is already full, the oldest requests ``pub_req1`` and ``pub_req2`` are discarded. In a ``DROP_NEWEST`` configuration: .. code-block:: python myClient.configureOfflinePublishQueueing(5, AWSIoTPythonSDK.MQTTLib.DROP_NEWEST); The internal queue should be like this when the queue is just full: .. code-block:: sh HEAD ['pub_req1', 'pub_req2', 'pub_req3', 'pub_req4', 'pub_req5'] When the 6th and the 7th publish requests are made offline, the internal queue will be like this: .. code-block:: sh HEAD ['pub_req1', 'pub_req2', 'pub_req3', 'pub_req4', 'pub_req5'] Because the queue is already full, the newest requests ``pub_req6`` and ``pub_req7`` are discarded. When the client is back online, connected, and resubscribed to all topics it has previously subscribed to, the draining starts. All requests in the offline request queue will be resent at the configured draining rate: .. code-block:: python AWSIoTPythonSDK.MQTTLib.AWSIoTMQTTClient.configureDrainingFrequency(frequencyInHz) If no ``configOfflinePublishQueue`` or ``configureDrainingFrequency`` is called, the following default configuration for offline request queueing and draining will be performed on the initialization: .. code-block:: python offlinePublishQueueSize = 20 dropBehavior = DROP_NEWEST drainingFrequency = 2Hz Before the draining process is complete, any new publish/subscribe/unsubscribe request within this time period will be added to the queue. Therefore, the draining rate should be higher than the normal request rate to avoid an endless draining process after reconnect. The disconnect event is detected based on PINGRESP MQTT packet loss. Offline request queueing will not be triggered until the disconnect event is detected. Configuring a shorter keep-alive interval allows the client to detect disconnects more quickly. Any QoS0 publish, subscribe and unsubscribe requests issued after the network failure and before the detection of the PINGRESP loss will be lost. Persistent/Non-Persistent Subscription ______________________________________ Device shadow operations are built on top of the publish/subscribe model for the MQTT protocol, which provides an asynchronous request/response workflow. Shadow operations (Get, Update, Delete) are sent as requests to AWS IoT. The registered callback will be executed after a response is returned. In order to receive responses, the client must subscribe to the corresponding shadow response topics. After the responses are received, the client might want to unsubscribe from these response topics to avoid getting unrelated responses for charges for other requests not issued by this client. The SDK provides a persistent/non-persistent subscription selection on the initialization of a device shadow. Developers can choose the type of subscription workflow they want to follow. For a non-persistent subscription, you will need to create a device shadow like this: .. code-block:: python nonPersistentSubShadow = myShadowClient.createShadowHandlerWithName("NonPersistentSubShadow", False) In this case, the request to subscribe to accepted/rejected topics will be sent on each shadow operation. After a response is returned, accepted/rejected topics will be unsubscribed to avoid getting unrelated responses. For a persistent subscription, you will need to create a device shadow like this: .. code-block:: python persistentSubShadow = myShadowClient.createShadowHandlerWithName("PersistentSubShadow", True) In this case, the request to subscribe to the corresponding accepted/rejected topics will be sent on the first shadow operation. For example, on the first call of shadowGet API, the following topics will be subscribed to on the first Get request: .. code-block:: sh $aws/things/PersistentSubShadow/shadow/get/accepted $aws/things/PersistentSubShadow/shadow/get/rejected Because it is a persistent subscription, no unsubscribe requests will be sent when a response is returned. The SDK client is always listening on accepted/rejected topics. In all SDK examples, PersistentSubscription is used in consideration of its better performance. SSL Ciphers Setup ______________________________________ If custom SSL Ciphers are required for the client, they can be set when configuring the client before starting the connection. To setup specific SSL Ciphers: .. code-block:: python myAWSIoTMQTTClient.configureCredentials(rootCAPath, privateKeyPath, certificatePath, Ciphers="AES128-SHA256") .. _Examples: Examples ~~~~~~~~ BasicPubSub ___________ This example demonstrates a simple MQTT publish/subscribe using AWS IoT. It first subscribes to a topic and registers a callback to print new messages and then publishes to the same topic in a loop. New messages are printed upon receipt, indicating the callback function has been called. Instructions ************ Run the example like this: .. code-block:: python # Certificate based mutual authentication python basicPubSub.py -e -r -c -k # MQTT over WebSocket python basicPubSub.py -e -r -w # Customize client id and topic python basicPubSub.py -e -r -c -k -id -t # Customize the message python basicPubSub.py -e -r -c -k -id -t -M # Customize the port number python basicPubSub.py -e -r -c -k -p # change the run mode to subscribe or publish only (see python basicPubSub.py -h for the available options) python basicPubSub.py -e -r -c -k -m Source ****** The example is available in ``samples/basicPubSub/``. BasicPubSub with Amazon Cognito Session Token _____________________________________________ This example demonstrates a simple MQTT publish/subscribe using an Amazon Cognito Identity session token. It uses the AWS IoT Device SDK for Python and the AWS SDK for Python (boto3). It first makes a request to Amazon Cognito to retrieve the access ID, the access key, and the session token for temporary authentication. It then uses these credentials to connect to AWS IoT and communicate data/messages using MQTT over Websocket, just like the BasicPubSub example. Instructions ************ To run the example, you will need your **Amazon Cognito identity pool ID** and allow **unauthenticated identities** to connect. Make sure that the policy attached to the unauthenticated role has permissions to access the required AWS IoT APIs. For more information about Amazon Cognito, see `here `__. Run the example like this: .. code-block:: python python basicPubSub_CognitoSTS.py -e -r -C # Customize client id and topic python basicPubsub_CognitoSTS.py -e -r -C -id -t Source ****** The example is available in ``samples/basicPubSub/``. BasicPubSub Asynchronous version ________________________________ This example demonstrates a simple MQTT publish/subscribe with asynchronous APIs using AWS IoT. It first registers general notification callbacks for CONNACK reception, disconnect reception and message arrival. It then registers ACK callbacks for subscribe and publish requests to print out received ack packet ids. It subscribes to a topic with no specific callback and then publishes to the same topic in a loop. New messages are printed upon reception by the general message arrival callback, indicating the callback function has been called. New ack packet ids are printed upon reception of PUBACK and SUBACK through ACK callbacks registered with asynchronous API calls, indicating that the the client received ACKs for the corresponding asynchronous API calls. Instructions ************ Run the example like this: .. code-block:: python # Certificate based mutual authentication python basicPubSubAsync.py -e -r -c -k # MQTT over WebSocket python basicPubSubAsync.py -e -r -w # Customize client id and topic python basicPubSubAsync.py -e -r -c -k -id -t # Customize the port number python basicPubSubAsync.py -e -r -c -k -p Source ****** The example is available in ``samples/basicPubSub/``. BasicPubSub with API invocation in callback ___________ This example demonstrates the usage of asynchronous APIs within callbacks. It first connects to AWS IoT and subscribes to 2 topics with the corresponding message callbacks registered. One message callback contains client asynchronous API invocation that republishes the received message from to /republish. The other message callback simply prints out the received message. It then publishes messages to in an infinite loop. For every message received from , it will be republished to /republish and be printed out as configured in the simple print-out message callback. New ack packet ids are printed upon reception of PUBACK and SUBACK through ACK callbacks registered with asynchronous API calls, indicating that the the client received ACKs for the corresponding asynchronous API calls. Instructions ************ Run the example like this: .. code-block:: python # Certificate based mutual authentication python basicPubSub_APICallInCallback.py -e -r -c -k # MQTT over WebSocket python basicPubSub_APICallInCallback.py -e -r -w # Customize client id and topic python basicPubSub_APICallInCallback.py -e -r -c -k -id -t # Customize the port number python basicPubSub_APICallInCallback.py -e -r -c -k -p Source ****** The example is available in ``samples/basicPubSub/``. BasicShadow ___________ This example demonstrates the use of basic shadow operations (update/delta). It has two scripts, ``basicShadowUpdater.py`` and ``basicShadowDeltaListener.py``. The example shows how an shadow update request triggers delta events. ``basicShadowUpdater.py`` performs a shadow update in a loop to continuously modify the desired state of the shadow by changing the value of the integer attribute. ``basicShadowDeltaListener.py`` subscribes to the delta topic of the same shadow and receives delta messages when there is a difference between the desired and reported states. Because only the desired state is being updated by basicShadowUpdater, a series of delta messages that correspond to the shadow update requests should be received in basicShadowDeltaListener. Instructions ************ Run the example like this: First, start the basicShadowDeltaListener: .. code-block:: python # Certificate-based mutual authentication python basicShadowDeltaListener.py -e -r -c -k # MQTT over WebSocket python basicShadowDeltaListener.py -e -r -w # Customize the port number python basicShadowDeltaListener.py -e -r -c -k -p Then, start the basicShadowUpdater: .. code-block:: python # Certificate-based mutual authentication python basicShadowUpdater.py -e -r -c -k # MQTT over WebSocket python basicShadowUpdater.py -e -r -w # Customize the port number python basicShadowUpdater.py -e -r -c -k -p After the basicShadowUpdater starts sending shadow update requests, you should be able to see corresponding delta messages in the basicShadowDeltaListener output. Source ****** The example is available in ``samples/basicShadow/``. ThingShadowEcho _______________ This example demonstrates how a device communicates with AWS IoT, syncing data into the device shadow in the cloud and receiving commands from another app. Whenever there is a new command from the app side to change the desired state of the device, the device receives this request and applies the change by publishing it as the reported state. By registering a delta callback function, users will be able to see this incoming message and notice the syncing of the state. Instructions ************ Run the example like this: .. code-block:: python # Certificate based mutual authentication python ThingShadowEcho.py -e -r -c -k # MQTT over WebSocket python ThingShadowEcho.py -e -r -w # Customize client Id and thing name python ThingShadowEcho.py -e -r -c -k -id -n # Customize the port number python ThingShadowEcho.py -e -r -c -k -p Now use the `AWS IoT console `__ or other MQTT client to update the shadow desired state only. You should be able to see the reported state is updated to match the changes you just made in desired state. Source ****** The example is available in ``samples/ThingShadowEcho/``. JobsSample __________ This example demonstrates how a device communicates with AWS IoT while also taking advantage of AWS IoT Jobs functionality. It shows how to subscribe to Jobs topics in order to recieve Job documents on your device. It also shows how to process those Jobs so that you can see in the `AWS IoT console `__ which of your devices have received and processed which Jobs. See the AWS IoT Device Management documentation `here `__ for more information on creating and deploying Jobs to your fleet of devices to facilitate management tasks such deploying software updates and running diagnostics. Instructions ************ First use the `AWS IoT console `__ to create and deploy Jobs to your fleet of devices. Then run the example like this: .. code-block:: python # Certificate based mutual authentication python jobsSample.py -e -r -c -k -n # MQTT over WebSocket python jobsSample.py -e -r -w -n # Customize client Id and thing name python jobsSample.py -e -r -c -k -id -n # Customize the port number python jobsSample.py -e -r -c -k -n -p Source ****** The example is available in ``samples/jobs/``. BasicDiscovery ______________ This example demonstrates how to perform a discovery process from a Greengrass Aware Device (GGAD) to obtain the required connectivity/identity information to connect to the Greengrass Core (GGC) deployed within the same group. It uses the discovery information provider to invoke discover call for a certain GGAD with its thing name. After it gets back a success response, it picks up the first GGC and the first set of identity information (CA) for the first group, persists \ it locally and iterates through all connectivity info sets for this GGC to establish a MQTT connection to the designated GGC. It then publishes messages to the topic, which, on the GGC side, is configured to route the messages back to the same GGAD. Therefore, it receives the published messages and invokes the corresponding message callbacks. Note that in order to get the sample up and running correctly, you need: 1. Have a successfully deployed Greengrass group. 2. Use the certificate and private key that have been deployed with the group for the GGAD to perform discovery process. 3. The subscription records for that deployed group should contain a route that routes messages from the targeted GGAD to itself via a dedicated MQTT topic. 4. The deployed GGAD thing name, the deployed GGAD certificate/private key and the dedicated MQTT topic should be used as the inputs for this sample. Run the sample like this: .. code-block:: python python basicDiscovery.py -e -r -c -k -n -t If the group, GGC, GGAD and group subscription/routes are set up correctly, you should be able to see the sample running on your GGAD, receiving messages that get published to GGC by itself. .. _API_Documentation: API Documentation ~~~~~~~~~~~~~~~~~ You can find the API documentation for the SDK `here `__. .. _License: License ~~~~~~~ This SDK is distributed under the `Apache License, Version 2.0 `__, see LICENSE.txt and NOTICE.txt for more information. .. _Support: Support ~~~~~~~ If you have technical questions about the AWS IoT Device SDK, use the `AWS IoT Forum `__. For any other questions about AWS IoT, contact `AWS Support `__.