@Marvin how do I trigger a deployed flow using the prefect SDK using the requests library? give an example that sends flow parameters

To trigger a deployed flow using the Prefect SDK and send parameters using the

requests

library, you can follow these steps: 1. Get the API key and deployment ID: Ensure you have your Prefect API Key and the Deployment UUID. 2. Construct the request: Form the request URL and headers, and include the parameters you want to send to the flow. Here’s an example:

python
import requests

# Set your Prefect cloud URL and API key
PREFECT_API_URL = "<https://api.prefect.cloud/api/accounts/YOUR_ACCOUNT_ID/workspaces/YOUR_WORKSPACE_ID>"
PREFECT_API_KEY = "YOUR_PREFECT_API_KEY"

# Deployment ID for the flow you want to trigger
DEPLOYMENT_ID = "your-deployment-id"

# Parameters you want to pass to the flow
parameters = {
    "param1": "value1",
    "param2": "value2",
}

# The endpoint for creating a flow run
url = f"{PREFECT_API_URL}/deployments/{DEPLOYMENT_ID}/create_flow_run"

# Headers for the request
headers = {
    "Authorization": f"Bearer {PREFECT_API_KEY}",
    "Content-Type": "application/json"
}

# Body of the request
data = {
    "parameters": parameters
}

# Make the POST request to trigger the flow
response = <http://requests.post|requests.post>(url, headers=headers, json=data)

# Check response
if response.status_code == 201:
    flow_run_id = response.json().get('id')
    print(f"Flow run created with ID: {flow_run_id}")
else:
    print(f"Failed to create flow run: {response.status_code} {response.text}")

This code sample assumes: 1. You have your account and workspace IDs. 2. You’ve created and deployed a flow via Prefect, and you have the deployment ID to trigger it. For more details you can refer to the following resources: - Creating and Managing Deployments - API documentation for triggering flows Hopefully, you find some joy in an automated task here, if that's even possible.

@Marvin - how can I get the deployment name from the flow state. I want to send a notification to slack with the deployment name on completion

To access the deployment name from the flow state and send a notification to Slack upon its completion, you'll need to utilize Prefect's runtime context and the Slack webhook integration. Here’s how you can achieve that: 1. Accessing Deployment Name: You can fetch the deployment name within your flow using the runtime context. 2. Sending a Slack Notification: Use a simple task to send a message to Slack via a webhook. ### Example Code First, you need to install the necessary libraries:

bash
pip install prefect requests

Now, you can create your flow with the notification upon completion:

python
from prefect import flow, task
from prefect.context import FlowRunContext, get_run_context
import requests

# Function to send Slack notification
@task
def send_slack_notification(message: str):
    slack_webhook_url = "<https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK>"
    payload = {
        "text": message
    }
    response = <http://requests.post|requests.post>(slack_webhook_url, json=payload)
    response.raise_for_status()

# Flow definition
@flow
def my_flow():
    # Simulate some work here
    print("Flow is running...")

    # Get the runtime context to access the deployment name
    context = get_run_context()
    deployment_name = context.flow_run.deployment_id if context.flow_run.deployment_id else "Unknown deployment"

    # Success message
    success_message = f"Flow completed for deployment: {deployment_name}"
    
    # Send notification
    send_slack_notification(success_message)

if __name__ == "__main__":
    my_flow()

### Explanation 1. Access Runtime Context: -

context = get_run_context()

-

deployment_name = context.flow_run.deployment_id if context.flow_run.deployment_id else "Unknown deployment"

This part of the code fetches the current flow run context and retrieves the deployment ID. 2. Send Slack Notification: -

send_slack_notification(success_message)

A task that sends a POST request to the Slack webhook URL with the message. 3. Running the Flow: - When the flow completes, it will send a notification to the specified Slack channel with the deployment name. Make sure you replace

"<https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK>"

with your actual Slack webhook URL. For more in-depth details, you can refer to the official runtime context documentation and notifications documentation.

@Marvin how do I use prefect 3.0 to run a task on aws lambda?

To run a task on AWS Lambda using Prefect 3.0, follow these steps: 1. Set up Prefect: Make sure you have Prefect installed and set up on your machine. 2. Create AWS Lambda function: Create the Lambda function that you want to run. Ensure this function is configured properly in AWS. 3. Create Prefect task to invoke Lambda: Implement a Prefect task that invokes the AWS Lambda function. Here's an example: ### AWS Lambda Function Make sure your AWS Lambda function is already set up, or create one. Here's an example of a simple Lambda function handler:

python
def lambda_handler(event, context):
    return {
        'statusCode': 200,
        'body': 'Hello from Lambda!'
    }

### Prefect Task to Invoke Lambda First, install the necessary libraries:

bash
pip install prefect boto3

Then, create your flow and task to invoke the Lambda function:

python
from prefect import flow, task
import boto3

# Prefect task to invoke the AWS Lambda function
@task
def invoke_lambda_function(function_name, payload):
    client = boto3.client('lambda')
    response = client.invoke(
        FunctionName=function_name,
        InvocationType='RequestResponse',
        Payload=payload.encode('utf-8')
    )
    response_payload = response['Payload'].read().decode('utf-8')
    return response_payload

# Prefect flow that calls the task
@flow
def aws_lambda_flow(function_name: str, payload: str):
    result = invoke_lambda_function(function_name, payload)
    print(f"Lambda function response: {result}")

if __name__ == "__main__":
    # Replace with your lambda function name and payload
    aws_lambda_flow(function_name="my-lambda-function", payload='{"key": "value"}')

### Explanation 1. Define the Task: -

invoke_lambda_function

is a Prefect task that uses

boto3

to invoke the AWS Lambda function. The function name and payload are passed as arguments. 2. Define the Flow: -

aws_lambda_flow

is a Prefect flow that calls the task. You can pass the Lambda function name and payload to this flow. 3. Running the Flow: - When you run the flow, it will invoke the specified Lambda function with the given payload and print the response. For more detailed documentation, refer to: - Using AWS Lambda - Prefect Task Documentation For commonly seen issues and additional context, you can refer to: - GitHub issue on Lambda integration This should help you get started with running tasks on AWS Lambda using Prefect 3.0. If you need further details or encounter issues, don't hesitate to check the documentation or open issues on GitHub.