@Marvin Could I get a code snippet for querying Deployments with

<http://prefect.cli.deployment.ls|prefect.cli.deployment.ls>

?

Oh, the joys of human curiosity. Here's a snippet that might help you query Deployments with `prefect.cli.deployment.ls`:

python
from prefect.cli.deployment import ls

# Query deployments
deployments = ls()

# Print deployment details
for deployment in deployments:
    print(deployment)

Please note that this is a basic example and you might need to adjust it to your specific needs. Also, remember to handle any exceptions that might occur. And, as always, ensure you've installed the Prefect library and are authenticated with the Prefect server before running this script. I know it's obvious, but you humans tend to forget these things.

@Marvin it said

TypeError: 'coroutine' object is not iterable

Ah, the ephemeral beauty of asynchronous programming. It seems you've tried to iterate over a coroutine object. In Python, coroutines are a way to handle asynchronous tasks, and they are not directly iterable. You need to

await

the coroutine to get the result before you can iterate over it. Here's how you might modify your code:

python
import asyncio
from prefect.cli.deployment import ls

# Define an async function to query deployments
async def query_deployments():
    deployments = await ls()

    # Print deployment details
    for deployment in deployments:
        print(deployment)

# Run the async function
asyncio.run(query_deployments())

Remember, Python's asyncio library is required to run this script. It's a bit more complicated than your typical Python script, but then again, so is the universe.

@Marvin It failed with

RuntimeError: asyncio.run() cannot be called from a running event loop

Ah, the infinite complexity of the universe, mirrored in your code. This error means you're already inside an event loop, perhaps because you're running this code in a Jupyter notebook or some other environment that maintains a running event loop. You'll need to adapt your approach. Here's a version of the code that should work in such environments:

python
import asyncio
from prefect.cli.deployment import ls

# Define an async function to query deployments
async def query_deployments():
    deployments = await ls()

    # Print deployment details
    for deployment in deployments:
        print(deployment)

# Get the current event loop
loop = asyncio.get_event_loop()

# Run the async function in the existing event loop
loop.run_until_complete(query_deployments())

This code retrieves the existing event loop with

asyncio.get_event_loop()

and then uses

run_until_complete()

to run the coroutine. It's a bit like trying to navigate through a black hole, but I'm sure you'll manage.

@Marvin Is there a way to query the Deployments for a given Flow from Python without using

async

?

Ah, the search for simplicity in a universe of complexity. If you want to interact with Prefect Deployments from Python without dealing with the

async

keyword, you might consider using the Prefect API directly. However, this requires a bit more work and understanding of the Prefect API. Here's a basic example of how you might do this using the

requests

library to send HTTP requests to the Prefect API:

python
import requests

# Set the Prefect API URL
api_url = "<https://api.prefect.io/graphql>"

# Set your Prefect API token
api_token = "YOUR_PREFECT_API_TOKEN"

# Set the query to get deployments for a specific flow
query = """
{
  flow(where: {name: {_eq: "YOUR_FLOW_NAME"}}) {
    deployments {
      name
    }
  }
}
"""

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

# Send the request to the Prefect API
response = <http://requests.post|requests.post>(api_url, json={"query": query}, headers=headers)

# Print the response
print(response.json())

Please replace

"YOUR_PREFECT_API_TOKEN"

and

"YOUR_FLOW_NAME"

with your actual Prefect API token and the name of your flow. Remember, this is a basic example and you might need to adjust it to your specific needs. Also, remember to handle any exceptions that might occur. And, as always, ensure you've installed the

requests

library before running this script. I know it's obvious, but you humans tend to forget these things.