Based on my research, I can provide you with the following information: 1. The traditional Prefect-SNS integration is not available as a built-in feature in Prefect 3.x. 2. However, there's good news! There's recent activity to add SNS integration to the Prefect catalog. According to a recent pull request (https://github.com/PrefectHQ/prefect/pull/9996), work is being done to create an AWS SNS block for Prefect. 3. In the meantime, you have a few options: - Use the AWS SDK (boto3) directly within your Prefect flows to interact with SNS - Watch the progress of the SNS integration in the catalog - Create your own custom block for SNS integration If you need to implement SNS functionality right now, I can provide guidance on how to use boto3 within a Prefect flow to interact with SNS. Would you like me to show you how to do that? Also, since this feature is actively being developed, you might want to: 1. Watch the pull request mentioned above for updates 2. Check the Prefect Catalog periodically for when the SNS integration becomes available Would you like me to provide an example of how to work with SNS using boto3 in a Prefect flow in the meantime?

I'll provide you with a complete example of how to integrate AWS SNS with Prefect using boto3. First, you'll need to install the required packages:

bash
pip install "prefect[aws]" boto3

Here's a comprehensive example that shows how to create a Prefect flow that sends messages to an SNS topic:

python
from prefect import flow, task
from prefect_aws import AwsCredentials
import boto3

@task
def get_sns_client():
    # Load AWS credentials from Prefect block
    aws_credentials = AwsCredentials.load("default")
    
    # Create boto3 SNS client using the credentials
    session = boto3.Session(
        aws_access_key_id=aws_credentials.aws_access_key_id,
        aws_secret_access_key=aws_credentials.aws_secret_access_key,
        region_name=aws_credentials.region_name  # e.g., 'us-east-1'
    )
    return session.client('sns')

@task
def publish_message(client, topic_arn: str, message: str):
    response = client.publish(
        TopicArn=topic_arn,
        Message=message
    )
    return response['MessageId']

@flow
def send_sns_notification(topic_arn: str, message: str):
    # Get SNS client
    sns_client = get_sns_client()
    
    # Publish message
    message_id = publish_message(sns_client, topic_arn, message)
    print(f"Message sent successfully! Message ID: {message_id}")
    return message_id

Before running this flow, you'll need to set up your AWS credentials in Prefect. Here's how to do that: 1. First, create an AWS Credentials block in Prefect:

python
from prefect_aws import AwsCredentials

aws_credentials = AwsCredentials(
    aws_access_key_id="your_access_key_id",
    aws_secret_access_key="your_secret_access_key",
    region_name="your_region"  # e.g., "us-east-1"
)
aws_credentials.save("default")

2. Then you can run your flow:

python
# Example usage
topic_arn = "arn:aws:sns:region:account-id:topic-name"
message = "Hello from Prefect!"

send_sns_notification(topic_arn, message)

Some important notes about this implementation: 1. Error Handling: You might want to add error handling for AWS-specific exceptions. Here's an enhanced version of the publish task:

python
from botocore.exceptions import ClientError

@task(retries=3, retry_delay_seconds=30)
def publish_message(client, topic_arn: str, message: str):
    try:
        response = client.publish(
            TopicArn=topic_arn,
            Message=message
        )
        return response['MessageId']
    except ClientError as e:
        print(f"Error publishing message: {e}")
        raise

2. Best Practices: - Store your AWS credentials securely using Prefect blocks - Use environment variables or secrets management for sensitive information - Consider implementing retries for resilience (as shown in the enhanced example) - Use appropriate IAM permissions (minimal required permissions) 3. Additional Features: You can extend this basic example to include: - Message attributes - Different message structures (JSON) - Subject lines - Message filtering Here's an example with more features:

python
@task
def publish_detailed_message(
    client,
    topic_arn: str,
    message: str,
    subject: str = None,
    message_attributes: dict = None
):
    publish_args = {
        "TopicArn": topic_arn,
        "Message": message
    }
    
    if subject:
        publish_args["Subject"] = subject
        
    if message_attributes:
        publish_args["MessageAttributes"] = message_attributes
        
    response = client.publish(**publish_args)
    return response['MessageId']

@flow
def send_detailed_sns_notification(
    topic_arn: str,
    message: str,
    subject: str = None,
    message_attributes: dict = None
):
    sns_client = get_sns_client()
    message_id = publish_detailed_message(
        sns_client,
        topic_arn,
        message,
        subject,
        message_attributes
    )
    return message_id

Usage example with additional features: ```python

# Example with additional features message_attributes = { 'Priority': { 'DataType': 'String', 'StringValue': 'High' }, 'Environment': { 'DataType': 'String', 'StringValue': 'Production' } } send_detailed_sns_notification( topic_arn="arnawssnsregionaccount-id:topic-name", message="Critical system alert", subject="System Alert", message_attributes=message_attributes ) ``` This implementation gives you a robust foundation for working with AWS SNS in your Prefect flows. You can customize it further based on your specific needs, such as adding more error handling, logging, or specific message formatting requirements. Would you like me to explain any part of this implementation in more detail or show you how to implement specific additional features?

✅ thought for 26.3 seconds

Ah, perfect! I'll show you how to set up SNS notifications specifically for task failures using environment variables for AWS credentials. This is a common and useful pattern. Here's a practical implementation:

python
from prefect import flow, task
from prefect.logging import get_run_logger
import boto3
import os
from typing import Optional

@task
def get_sns_client():
    # Using environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION)
    return boto3.client('sns')

@task
def send_sns_alert(topic_arn: str, error_message: str, task_name: Optional[str] = None):
    logger = get_run_logger()
    sns = get_sns_client()
    
    subject = f"Prefect Task Failure: {task_name}" if task_name else "Prefect Task Failure"
    
    try:
        response = sns.publish(
            TopicArn=topic_arn,
            Subject=subject[:100],  # SNS subject has 100 character limit
            Message=error_message
        )
        <http://logger.info|logger.info>(f"SNS alert sent successfully. MessageId: {response['MessageId']}")
        return response['MessageId']
    except Exception as e:
        logger.error(f"Failed to send SNS alert: {str(e)}")
        raise

# Example task that might fail
@task(on_failure=[lambda task, flow: send_sns_alert(
    topic_arn="your-sns-topic-arn",
    error_message=f"Task {task.name} failed with error: {str(task.get_state().result())}", 
    task_name=task.name
)])
def risky_task():
    # Your task logic here
    raise ValueError("Something went wrong!")

@flow
def main_flow():
    try:
        risky_task()
    except Exception as e:
        print(f"Flow caught error: {str(e)}")

To use this in your actual flows, here's a more complete example with multiple tasks:

python
from prefect import flow, task
from prefect.logging import get_run_logger
import boto3
import os
from typing import Optional, Callable
from functools import partial

def create_failure_handler(topic_arn: str) -> Callable:
    """Creates a failure handler that sends SNS notifications"""
    
    def failure_handler(task, flow):
        error_message = (
            f"Task Failure in Flow '{flow.name}'\n"
            f"Task: {task.name}\n"
            f"Error: {str(task.get_state().result())}\n"
            f"Flow Run ID: {flow.id}"
        )
        
        send_sns_alert.with_options(retries=3, retry_delay_seconds=5)(
            topic_arn=topic_arn,
            error_message=error_message,
            task_name=task.name
        )
    
    return failure_handler

@task
def get_sns_client():
    return boto3.client('sns')

@task
def send_sns_alert(topic_arn: str, error_message: str, task_name: Optional[str] = None):
    logger = get_run_logger()
    sns = get_sns_client()
    
    subject = f"Prefect Task Failure: {task_name}" if task_name else "Prefect Task Failure"
    
    try:
        response = sns.publish(
            TopicArn=topic_arn,
            Subject=subject[:100],
            Message=error_message
        )
        <http://logger.info|logger.info>(f"SNS alert sent successfully. MessageId: {response['MessageId']}")
        return response['MessageId']
    except Exception as e:
        logger.error(f"Failed to send SNS alert: {str(e)}")
        raise

# Create a failure handler with your SNS topic
sns_failure_handler = create_failure_handler(
    topic_arn="arn:aws:sns:region:account-id:your-topic-name"
)

@task(on_failure=[sns_failure_handler])
def process_data():
    # Your data processing logic
    pass

@task(on_failure=[sns_failure_handler])
def validate_results():
    # Your validation logic
    pass

@flow
def main_flow():
    logger = get_run_logger()
    
    try:
        # Your flow logic
        process_data()
        validate_results()
    except Exception as e:
        logger.error(f"Flow failed: {str(e)}")
        raise

To use this code: 1. Make sure your environment variables are set: ```bash export AWS_ACCESS_KEY_ID=your_access_key export AWS_SECRET_ACCESS_KEY=your_secret_key

export AWS_DEFAULT_REGION=your_region

2. Replace the `topic_arn` with your actual SNS topic ARN.

3. Add the failure handler to any task that you want to monitor:
   ```python
   @task(on_failure=[sns_failure_handler])
   def your_task():
       # Your task logic here
       pass

Key features of this implementation: 1. Environment Variables: Uses AWS credentials from environment variables automatically through boto3 2. Retry Logic: The SNS alert task has retry capabilities 3. Detailed Error Messages: Includes task name, flow name, and error details in the notification 4. Logging: Proper logging for debugging and monitoring 5. Reusable: The failure handler can be easily added to any task You can customize the error message format by modifying the

failure_handler

function. For example, you might want to add: - Timestamp - Environment information - Link to the Prefect UI for the failed run - Custom tags or metadata Here's how you could enhance the error message:

python
from datetime import datetime

def create_failure_handler(topic_arn: str, environment: str = "production") -> Callable:
    def failure_handler(task, flow):
        timestamp = datetime.utcnow().isoformat()
        error_message = (
            f":warning: Task Failure Alert :warning:\n"
            f"Timestamp (UTC): {timestamp}\n"
            f"Environment: {environment}\n"
            f"Flow: {flow.name}\n"
            f"Task: {task.name}\n"
            f"Error: {str(task.get_state().result())}\n"
            f"Flow Run ID: {flow.id}\n"
            f"Task Run ID: {task.id}\n"
            # If you're using Prefect Cloud or have a UI URL:
            # f"UI Link: {your_prefect_ui_base_url}/flow-runs/{flow.id}\n"
        )
        
        send_sns_alert.with_options(retries=3, retry_delay_seconds=5)(
            topic_arn=topic_arn,
            error_message=error_message,
            task_name=task.name
        )
    
    return failure_handler

Would you like me to explain any part of this implementation in more detail or show you how to add any specific additional features to the notifications?

Ah, I see the issue. The error occurs because the task failure hook signature has changed in Prefect 3.x. Let me correct the implementation with the proper hook signature. Here's the corrected version:

python
from prefect import flow, task
from prefect.logging import get_run_logger
import boto3
from typing import Optional, Callable

@task
def get_sns_client():
    return boto3.client('sns')

@task
def send_sns_alert(topic_arn: str, error_message: str, task_name: Optional[str] = None):
    logger = get_run_logger()
    sns = get_sns_client()
    
    subject = f"Prefect Task Failure: {task_name}" if task_name else "Prefect Task Failure"
    
    try:
        response = sns.publish(
            TopicArn=topic_arn,
            Subject=subject[:100],  # SNS subject has 100 character limit
            Message=error_message
        )
        <http://logger.info|logger.info>(f"SNS alert sent successfully. MessageId: {response['MessageId']}")
        return response['MessageId']
    except Exception as e:
        logger.error(f"Failed to send SNS alert: {str(e)}")
        raise

def create_failure_handler(topic_arn: str) -> Callable:
    """Creates a failure handler that sends SNS notifications"""
    
    def failure_handler(task, task_run, state):  # Corrected signature with three parameters
        error_message = (
            f"Task Failure in Flow\n"
            f"Task: {task.name}\n"
            f"Error: {state.message}\n"
            f"Flow Run ID: {task_run.flow_run_id}"
        )
        
        send_sns_alert.with_options(retries=3, retry_delay_seconds=5)(
            topic_arn=topic_arn,
            error_message=error_message,
            task_name=task.name
        )
    
    return failure_handler

# Create a failure handler with your SNS topic
sns_failure_handler = create_failure_handler(
    topic_arn="your-sns-topic-arn"  # Replace with your actual SNS topic ARN
)

@task(on_failure=[sns_failure_handler])
def risky_task():
    # Your task logic here
    raise ValueError("Something went wrong!")

@flow
def main_flow():
    try:
        risky_task()
    except Exception as e:
        print(f"Flow caught error: {str(e)}")

if __name__ == "__main__":
    main_flow()

The key changes are: 1. Updated the failure handler signature to accept three parameters: - `task`: The task object - `task_run`: The task run object - `state`: The state object containing error information 2. Updated how we access the error information using

state.message

instead of trying to get it from the task directly If you want a more detailed error message, you can enhance the failure handler like this:

python
from datetime import datetime

def create_failure_handler(topic_arn: str, environment: str = "production") -> Callable:
    def failure_handler(task, task_run, state):
        timestamp = datetime.utcnow().isoformat()
        error_message = (
            f"⚠️ Task Failure Alert ⚠️\n"
            f"Timestamp (UTC): {timestamp}\n"
            f"Environment: {environment}\n"
            f"Task: {task.name}\n"
            f"Error: {state.message}\n"
            f"Flow Run ID: {task_run.flow_run_id}\n"
            f"Task Run ID: {task_run.id}\n"
        )
        
        send_sns_alert.with_options(retries=3, retry_delay_seconds=5)(
            topic_arn=topic_arn,
            error_message=error_message,
            task_name=task.name
        )
    
    return failure_handler

To use this in your code: 1. Replace the

topic_arn

with your actual SNS topic ARN 2. Make sure your AWS credentials are properly set in your environment variables 3. You can add the failure handler to any task you want to monitor:

python
@task(on_failure=[sns_failure_handler])
def your_task():
    # Your task logic here
    pass

This should now work correctly with Prefect 3.x. Would you like me to explain any part of this implementation in more detail or help you with any specific customization?