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Integration of AWS IoT Job with ESP32

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How does the ESP32 code look to automatically fetch updates from AWS IoT Core using Jobs?

asked a year ago307 views

2 Answers
1

To integrate AWS IoT Jobs with an ESP32 device for automatically fetching updates, you'll need to implement a few key components in your ESP32 code:

  1. MQTT Connection: First, ensure your ESP32 is connected to AWS IoT Core via MQTT. This connection is crucial for receiving job notifications and interacting with the Jobs service.

  2. Job Notification Subscription: Subscribe to the "$aws/things/{thingName}/jobs/notify" topic. This allows your device to receive notifications when new jobs are available.

  3. Job Processing Loop: Implement a loop that checks for new jobs and processes them. This typically involves:

    • Requesting job details using the DescribeJobExecution API
    • Parsing the job document to understand the required actions
    • Executing the job (e.g., downloading and applying a firmware update)
    • Updating the job status using the UpdateJobExecution API
  4. Job Document Handling: Your code should be able to parse and act on the job document. For firmware updates, this often includes:

    • Extracting download URLs for new firmware
    • Downloading the firmware (potentially using HTTPS and the ESP32's networking capabilities)
    • Verifying the firmware (e.g., checking signatures if implemented)
    • Applying the update
  5. Status Reporting: Implement logic to report the progress and completion status of the job back to AWS IoT Core.

Here's a high-level pseudocode structure for your ESP32:

void setup() {
    // Initialize WiFi and connect to AWS IoT Core
    initializeAWSIoTConnection();
    
    // Subscribe to job notification topic
    subscribeToJobNotifications();
}

void loop() {
    // Check for incoming MQTT messages
    checkIncomingMessages();
    
    // If a new job notification is received
    if (newJobAvailable) {
        // Request job details
        requestJobDetails();
        
        // Parse job document
        parseJobDocument();
        
        // Execute job (e.g., firmware update)
        executeJob();
        
        // Update job status
        updateJobStatus();
    }
}

void executeJob() {
    // Download firmware if URL is provided in job document
    if (jobDocument.containsKey("firmwareUrl")) {
        downloadFirmware(jobDocument["firmwareUrl"]);
    }
    
    // Apply firmware update
    if (firmwareDownloaded) {
        applyFirmwareUpdate();
    }
    
    // Perform other job-related tasks as specified in the job document
}

Remember to implement proper error handling, retry mechanisms, and secure practices such as verifying firmware signatures. Also, ensure your ESP32 has sufficient memory and processing capabilities to handle the job operations, especially for larger firmware updates.

This structure allows your ESP32 to automatically check for and process jobs from AWS IoT Core, enabling remote updates and management of your device.

Sources
Jobs workflow - AWS IoT Core
https://docs.aws.amazon.com/embedded-csdk/202108.00/lib-ref/libraries/aws/jobs-for-aws-iot-embedded-sdk/docs/doxygen/output/html/jobs_features.html

answered a year ago

AWS
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reviewed a year ago

AWS
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reviewed a year ago

1

Hi. At a high level, this is the workflow that needs to be implemented on a device: https://docs.aws.amazon.com/iot/latest/developerguide/jobs-workflow-device-online.html. This library helps you implement it: https://github.com/aws/Jobs-for-AWS-IoT-embedded-sdk. So processing the jobs is basically the same C code on any device.

Where it gets different for each device in particular is where/how you store the firmware binary into flash, and boot into it. Here's a complete reference implementation for ESP32: https://github.com/FreeRTOS/iot-reference-esp32. This uses "FreeRTOS OTA" which is a more abstracted feature built on top of jobs. You can read more here: https://repost.aws/articles/ARDHNhV0bnRGau0kmdhTSZZA/comparing-aws-iot-jobs-and-aws-iot-over-the-air-ota-updates

AWS
EXPERT

answered a year ago

AWS
EXPERT

reviewed a year ago

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