@Marvin I'm trying to set things up locally completely self-hosted. I have • the server running (

prefect server start

) • i have a worker running (

PREFECT_API_URL=<http://127.0.0.1:4200/api> API_prefect worker start -pool=my-pool

) • i am deploying my job using python like so

upload_deploy = <http://upload_flow.to|upload_flow.to>_deployment("upload-file-deploy", work_pool_name="my-pool")

(and i have a flow decorated function called upload_flow) • i am now calling another python script

run_deployment("upload-flow/upload-file-deploy")

the worker receives the job but it crashes like this:

10:13:51.901 | ERROR   | Flow run 'dazzling-ferret' - Unexpected exception encountered when trying to load flow

FileNotFoundError: [Errno 2] No such file or directory: '/private/var/folders/9b/9dclgrxj76172c20y_qrb9tw0000gn/T/tmp74n9b6voprefect/main.py'

what am i doing wrong?

The error you're encountering is related to the flow's source file not being found by the worker. Here are a few things to check and consider: 1. Deployment Path: Ensure that the deployment is correctly set up with the path to the flow's source file. Prefect 3.x requires specifying the source location when deploying, as the flow needs to be accessible to the worker. You might need to use

from_source

when setting up your deployment to ensure the correct path is specified. See Prefect Deployments. 2. Worker Setup: Verify that the worker is correctly configured to access the deployment's work pool. Workers in Prefect 3.x replace agents and require proper configuration to execute flows. Make sure the worker is polling the correct work pool and has access to the necessary files. More details can be found in the Workers Documentation. 3. Common Gotchas: Be aware that Prefect 3.x has introduced changes, such as replacing agents with workers and infrastructure blocks with work pools. Ensure that your deployment setup aligns with these changes. Notably,

Deployment.build_from_flow()

is removed in 3.x, and you should use

from_source

for specifying the flow location. 4. File Accessibility: Double-check that the path to the flow's source file is accessible from the worker's environment. The error indicates that the file

/private/var/folders/.../main.py

is missing or not accessible. Ensure the file exists at the specified location and is readable by the worker process. For more detailed guidance, you can refer to the Prefect documentation on Deployments and Workers. If the issue persists, consider verifying the path and permissions of the source file.

the path the worker is searching isn't correct..

It seems that the worker is looking for the flow's source file in an incorrect path. Here's how you might address this issue: 1. Correct the Deployment Path: Ensure that when you are deploying your flow, the correct path to the source file is specified. You can use

from_source

to specify the exact location of your flow's Python file when creating the deployment. 2. Deployment Configuration: Double-check the deployment configuration to ensure that it points to the correct directory where your flow's Python file resides. This configuration might need to be set explicitly if the default behavior doesn't meet your needs. 3. Environment Consistency: Make sure the environment in which the worker is running has access to the correct file path. If the file is in a different directory or requires specific permissions, adjust the environment or deployment configuration accordingly. If you provide the deployment configuration code snippet, I can help you further refine it to ensure the correct path is being utilized.

how would i use from_source? i use to_deployment

To use

from_source

in Prefect 3.x for creating a deployment, you would typically follow these steps: 1. Load the Flow: Use

from_source

to specify the location of your flow's source file. This can be a local path, a GitHub URL, or another remote source. 2. Deploy the Flow: After loading the flow with

from_source

, you can deploy it using

deploy

. This setup allows you to ensure that the worker knows exactly where to find the flow's code. Here's a basic example to illustrate how you might use `from_source`:

python
from prefect import flow
from prefect.deployments import Deployment

# Assuming 'upload_flow' is your flow function
from my_flows import upload_flow

# Load the flow from source
deployment = Deployment.from_source(
    flow=upload_flow,
    name="upload-file-deploy",
    source="path/to/your/flow.py",  # Local path to the flow's source file
    work_pool_name="my-pool"
)

# Deploy the flow
deployment.deploy()

In this example: - Replace

"path/to/your/flow.py"

with the actual path to your flow's Python file. - Ensure that the

work_pool_name

matches the pool your worker is polling. For more detailed information, you can refer to the Prefect Deployment Documentation.

prefect.exceptions.PrefectImportError:

prefect.deployments:Deployment

has been removed. Use

flow.serve()

,

flow.deploy()

, or

prefect deploy

instead.

In Prefect 3.x, the

Deployment

class has been removed. Instead, you should use

flow.deploy()

or

prefect deploy

. Here's how you can deploy your flow using the

flow.deploy()

method:

python
from prefect import flow

@flow
def upload_flow():
    # Your flow logic here
    pass

# Deploy the flow
upload_flow.deploy(
    name="upload-file-deploy",
    work_pool_name="my-pool",
    source="path/to/your/flow.py"  # Specify the correct path to the flow's source file
)

In this example: - Replace

"path/to/your/flow.py"

with the actual path to your flow's Python file. - Ensure that the

work_pool_name

matches the pool your worker is polling. This approach directly uses the

deploy

method on the flow object, aligning with the updated Prefect 3.x API. For more details, refer to the Prefect Deployment Documentation.

@Marvin TypeError: Flow.deploy() got an unexpected keyword argument 'source' are u sure u know what ur talking about?

My apologies for the confusion. It seems the

flow.deploy()

method does not accept a

source

argument directly. Instead, you should use

from_source

to specify the source location before deploying. Here's how you can structure it:

python
from prefect import flow

@flow
def upload_flow():
    # Your flow logic here
    pass

# Deploy the flow using from_source
upload_flow.from_source("path/to/your/flow.py").deploy(
    name="upload-file-deploy",
    work_pool_name="my-pool"
)

In this example: - Replace

"path/to/your/flow.py"

with the actual path to your flow's Python file. - Ensure that the

work_pool_name

matches the pool your worker is polling. This method ensures that the flow is sourced correctly before deployment. For more detailed information, you can refer to the Prefect Deployment Documentation.