Does anyone know how to add a

entrypoint

to

my_flow.deploy()

in Prefect 3? With a

prefect.yaml

I can give an

entrypoint

, but in the

.deploy

function I only see a

entrypoint_type

.

job_variables

and

parameters

are also possible dictionaries that I can use. Yet I can't find any documentation or see in the code what I can place in these dictionaries. Anyone has a clue on where to find this? Perhaps that's where I can add the entrypoint.

Hi Michiel. You can specify the entrypoint in the

flow.from_source()

method as shown in the example here that pulls code from GitHub storage:

from prefect import flow

# Source for the code to deploy (here, a GitHub repo)
SOURCE_REPO="<https://github.com/prefecthq/demos.git>"

if __name__ == "__main__":
    flow.from_source(
        source=SOURCE_REPO,
        entrypoint="my_gh_workflow.py:repo_info", # Specific flow to run
    ).deploy(
        name="my-first-deployment",
        work_pool_name="my-work-pool", # Work pool target
        cron="0 1 * * *", # Cron schedule (1am every day)
    )

I have a PR in to update the flow code storage docs to show more Python examples. 🙂

Hi thanks for your reply! However I'm using an image to access my flow code (see the code block below). Perhaps I would need to manually adjust my

Base Job Template

in the workpool, add an

entrypoint

variable there and then add it to

flow.deploy(job_variables{"entrypoint" = "/path/to/flow.py"})

in this way? Or is there already such an option in e.g. the parameters keyword? It's hard to find documentation on this. Maybe @Marvin knows?

flow.deploy(
        name="mydeployment",
        work_pool_name="k8s-workpool",
        image=base_image
)

To help you with adjusting the

Base Job Template

and using the

entrypoint

variable in Prefect, I need to determine the version you are using. Prefect 2.x and 3.x have different syntaxes and approaches for deployment. I will search the relevant Prefect documentation to find information about adjusting the

Base Job Template

and using the

entrypoint

. Please hold on for a moment while I do this research. It seems I need to provide specific search terms for the documentation search tools. I'll start by focusing on identifying and exploring the specific details related to configuring job templates for deployments. Allow me a moment to perform the necessary searches. Based on the search results, here's how you can configure the entrypoint for your deployment in Prefect: ### Prefect 2.x In Prefect 2.x, the deployment entrypoint is a relative reference to a function decorated as a flow within your filesystem. You can specify the entrypoint by using Python's path-to-object syntax, for example,

path/to/file.py:function_name

. This entrypoint must match the flow's ID. More details are available in the Prefect 2.x concepts documentation. You'd then need to adjust the

Base Job Template

to incorporate appropriate command structure, likely referencing this entrypoint dynamically. For configuring work pools, you can update the base job template using a JSON file and the

prefect work-pool update

command. This process allows you to customize the behavior of the worker executing flow runs. More details on this are provided in the Prefect 2.x work pools documentation. ### Prefect 3.x Similar principles apply in Prefect 3.x. The entrypoint should be specified as a relative path, and it must reference the appropriate function decorated as a flow. You would again adjust the base job template in your work pool to customize deployments. Here, the base job template acts as a contract to define configuration passed to the worker. The variables section allows customization and follows the OpenAPI spec for imposing limits on provided values. Further reading can be found in Prefect 3.x deployment documentation. Both versions seem to rely on defining this behavior through JSON-defined base job templates that leverage placeholders to dynamically insert values for fields like entrypoint or command. If you have additional questions about other functionalities or configurations, feel free to ask!

@Marvin I'm using prefect 3.0.3

Great! Since you're using Prefect 3.0.3, you can set up your deployment with an entrypoint by modifying the base job template for your work pool. Here's how you can approach it: ### Setting Up the Deployment with Entrypoint 1. Define the Entrypoint: The entrypoint for your deployment should be a path-to-function in the form

path/to/flow.py:function_name

. 2. Modify the Base Job Template: You need to define the base job template using JSON, which includes a

job_configuration

section that uses placeholders for dynamic values. You can use a template like this:

json
   {
       "job_configuration": {
           "command": "{{ command }}",
           "entrypoint": "{{ entrypoint }}",
           "env": "{{ env }}",
           "labels": "{{ labels }}",
           "name": "{{ name }}",
           "working_dir": "{{ working_dir }}"
       },
       "variables": {
           "type": "object",
           "properties": {
               "command": { "type": "string" },
               "entrypoint": { "type": "string" },
               "env": { "type": "object" },
               "labels": { "type": "array", "items": { "type": "string" }},
               "name": { "type": "string" },
               "working_dir": { "type": "string" }
           }
       }
   }

3. Update the Work Pool: Use the Prefect CLI command to update your work pool with this base job template JSON file.

bash
   prefect work-pool update --base-job-template path/to/your/base-job-template.json your-work-pool

4. Deploy the Flow: In your flow deployment script, pass the entrypoint as a job variable:

python
   flow.deploy(
       name="mydeployment",
       work_pool_name="k8s-workpool",
       job_variables={"entrypoint": "path/to/flow.py:function_name"}
   )

This setup allows you to dynamically provide the entrypoint whenever you deploy your flow, using the placeholders in your JSON-defined job template. More details on work pools and job templates can be found in the Prefect 3.x documentation. Feel free to ask if there's anything else you'd like to know!