It seems there's a problem determining the exact Prefect version to provide the most accurate guidance. Since Prefect syntax can vary between versions, I'll assume you are using a version compatible with the

run_deployment

function. If you're using Prefect 2.x or later, here's a general guide on how you can use the

run_deployment

function: 1. Ensure Your Deployment Name is Correct: - The deployment is created with the name

cccg-deployment

. Make sure that the name you use in the

run_deployment

function matches the deployment name in Prefect Cloud or your local server, formatted as

"flow_name/deployment_name"

. 2. Call the Deployment Correctly: - If your flow was defined with the name

cam_flow

and the deployment is known as

cccg-deployment

, you might need to call it like:

python
flow_run = run_deployment(name="cam_flow/cccg-deployment", parameters={"cam_name": cam_name})

3. Parameters: - Double-check if

parameters

is the right way to pass data to your flow. This assumes

cam_name

is defined correctly in your context. For more tailored assistance, confirming your Prefect version would be advantageous, and I'd be happy to look up exact syntax and utilize Prefect's tools more effectively. Alternatively, you might want to check Prefect's official documentation or your deployment logs for more details. If this doesn't solve your issue, please confirm your Prefect version or provide more details, and I'll assist further!

To run a deployment using Prefect, you'll use the

run_deployment

function. From the information I found in the Prefect 2.x documentation, here's how you can do it: 1. Ensure the Deployment Name is Correct: - You mentioned your deployment is named

cccg-deployment

. When using

run_deployment

, you'll need to provide it in the format

flow_name/deployment_name

. Ensure you replace

flow_name

with the actual flow name you've defined. 2. Running the Deployment: - Use the following structure to call your deployment. This assumes that your flow is named

cam_flow

.

python
from prefect.deployments import run_deployment

def run_my_flow():
    response = run_deployment(name="cam_flow/cccg-deployment", parameters={"cam_name": cam_name})
    print(response)

if __name__ == "__main__":
    run_my_flow()

Make sure you've replaced

cam_name

with the appropriate variable or value you intend to pass to the deployment. 3. Prefect Configuration and Environment: - Ensure that your environment is set up to connect to the Prefect API. This might involve setting up a

PREFECT_API_URL

if running agents need to interact remotely. For more details, you can visit the deployment guide on the Prefect website: Prefect Documentation on Deployments.