Amazon Connect intercept messages

Amazon Connect Setup:

Create an Amazon Connect instance. Configure contact flows to enable call recording and real-time media streaming. Amazon Kinesis Setup:

Create a Kinesis Video Stream to receive media streams from Amazon Connect. AWS Lambda Setup:

Create a Lambda function to process data from Kinesis. Write Lambda code to intercept, process, and resend messages to another service (e.g., SQS, SNS, or S3).

`**import json import boto3

def lambda_handler(event, context): for record in event['Records']: payload = json.loads(record['kinesis']['data']) print(f"Decoded payload: {payload}")

    # Example: Send to SQS
    sqs = boto3.client('sqs')
    queue_url = 'https://sqs.<region>.amazonaws.com/<account-id>/<queue-name>'
    sqs.send_message(
        QueueUrl=queue_url,
        MessageBody=json.dumps(payload)
    )
    
    # Example: Save to S3
    s3 = boto3.client('s3')
    bucket_name = '<your-bucket-name>'
    s3.put_object(
        Bucket=bucket_name,
        Key=f"processed/{record['eventID']}.json",
        Body=json.dumps(payload)
    )

return {'statusCode': 200, 'body': json.dumps('Processed successfully')}**

` Trigger Lambda from Kinesis:

Configure Kinesis to trigger the Lambda function. Optional Storage/Forwarding:

Create and configure S3 bucket, SQS queue, or SNS topic for storing or forwarding processed messages. Ensure Lambda has necessary permissions for S3, SQS, or SNS.