Here's how you can access flow run information during execution, including some approaches for infrastructure details: 1. Basic flow run information can be accessed using the

prefect.runtime

module:

python
from prefect.runtime import flow_run

# Get the flow run ID
flow_run_id = flow_run.id

# Get job variables (may contain infrastructure-specific information)
job_variables = flow_run.job_variables

2. For ECS-specific task ID, you have a few options:

python
import os
import boto3

def get_ecs_task_id():
    # Method 1: From ECS container metadata
    task_metadata_uri = os.getenv("ECS_CONTAINER_METADATA_URI_V4")
    if task_metadata_uri:
        import requests
        metadata = requests.get(task_metadata_uri).json()
        return metadata.get("TaskARN")
    
    # Method 2: From ECS Task ID environment variable
    return os.getenv("AWS_ECS_TASK_ID")

3. You can also access the flow run's metadata through the Prefect API during execution:

python
from prefect.client import get_client

async def get_flow_run_infrastructure_details():
    async with get_client() as client:
        flow_run_data = await client.read_flow_run(flow_run.id)
        # Infrastructure details may be available in the flow run data
        return flow_run_data

Note that the exact location of the ECS Task ID might vary depending on your worker configuration and how the infrastructure was set up. The most reliable method is typically using the ECS container metadata endpoint, which is automatically available within ECS tasks. For more information about ECS integration with Prefect, you can refer to the ECS Guide in the Prefect documentation. Let me know if you need any clarification or have questions about accessing specific infrastructure details!

Based on the research, here's the most reliable way to get the ECS task execution ID during flow execution: 1. Using the ECS Container Metadata Endpoint (Most Reliable Method):

python
import requests
import os
from typing import Optional

def get_ecs_task_details() -> Optional[dict]:
    """Get ECS task details including task ID and execution ID."""
    metadata_uri = os.getenv("ECS_CONTAINER_METADATA_URI_V4")
    if not metadata_uri:
        return None
    
    try:
        # Get task metadata
        task_response = requests.get(f"{metadata_uri}/task")
        if task_response.status_code == 200:
            task_metadata = task_response.json()
            return {
                "task_id": task_metadata.get("TaskARN", "").split("/")[-1],
                "task_execution_id": task_metadata.get("TaskExecutionARN", "").split("/")[-1],
                "cluster": task_metadata.get("Cluster"),
                "task_arn": task_metadata.get("TaskARN"),
                "task_execution_arn": task_metadata.get("TaskExecutionARN")
            }
    except Exception as e:
        print(f"Error fetching ECS metadata: {e}")
    return None

2. Alternative method using boto3 (if you need to query additional task details):

python
import boto3
from prefect import task
import os

@task
def get_task_execution_details():
    # Get the task ID from the metadata endpoint first
    task_details = get_ecs_task_details()
    if not task_details:
        return None
    
    # Use boto3 to get additional details if needed
    ecs_client = boto3.client('ecs')
    try:
        response = ecs_client.describe_tasks(
            cluster=task_details["cluster"],
            tasks=[task_details["task_arn"]]
        )
        if response["tasks"]:
            task = response["tasks"][0]
            return {
                "task_id": task_details["task_id"],
                "task_execution_id": task_details["task_execution_id"],
                "last_status": task.get("lastStatus"),
                "desired_status": task.get("desiredStatus"),
                "container_instance_arn": task.get("containerInstanceArn")
            }
    except Exception as e:
        print(f"Error querying ECS API: {e}")
    return None

You can use these functions in your Prefect flow:

python
from prefect import flow

@flow
def my_ecs_flow():
    task_details = get_ecs_task_details()
    if task_details:
        print(f"Running in ECS Task: {task_details['task_id']}")
        print(f"Task Execution ID: {task_details['task_execution_id']}")
    else:
        print("Not running in ECS or couldn't fetch task details")

The ECS Container Metadata Endpoint (V4) is the most reliable way to get this information because: 1. It's automatically available inside ECS tasks 2. It doesn't require additional AWS permissions 3. It provides real-time information about the current task Note that the metadata endpoint is only available when running inside an ECS container. If you need to access this information from outside the task, you'll need to use the boto3 method with appropriate AWS permissions. For more information about ECS task metadata, you can refer to the AWS documentation about ECS container metadata.