@Marvin why does prefect run my flow function when I am trying to deploy?

In Prefect 3.x, when you deploy a flow, it might execute immediately if not properly configured. This happens because the deployment process is designed to listen for scheduled runs and can trigger a run if a schedule is already set or if the deployment method you use initiates a run. Here are some key points to consider: 1. Deployment Configuration: Deployments are server-side representations of flows and store metadata for orchestration. When creating a deployment, ensure you configure it to avoid immediate execution, unless that's your intention. You can use options like work pools for more control over the execution environment. 2. Immediate Execution: The

serve

method can create a deployment and start listening for scheduled runs. If you don't want the flow to run immediately, verify that you haven't inadvertently set a schedule that triggers it. 3. Prefect 3.x Changes: Note that Prefect 3.x has introduced several changes, such as replacing agents with workers and infrastructure blocks with work pools. Ensure your deployment method aligns with these updates. For more detailed information, you can refer to the Prefect 3.x deployment documentation.

@Marvin does adding RayTaskRunner affect how my deployment is run? Ever since I added that to my flow, my flow seems to want to run when I want to deploy my code

Adding a

RayTaskRunner

to your flow can indeed affect its execution behavior during deployment. The

RayTaskRunner

is designed to distribute task execution across a Ray cluster, which might inadvertently trigger execution if not properly configured. Here are some insights: 1. Task Execution: The

RayTaskRunner

manages tasks using Ray, which could potentially start executing tasks if the flow is not correctly set up to differentiate between deployment and execution phases. 2. Deployment Behavior: Ensure that your deployment configuration is set so that the flow does not automatically execute when deploying. This might involve checking your deployment scripts and configurations to ensure they don't inadvertently trigger a run. 3. Flow Configuration: Review your flow configuration to ensure that the

RayTaskRunner

is only utilized during actual flow execution and not during deployment setup. For more details, you might want to explore the Prefect task runners code to understand how

RayTaskRunner

integrates with your flow.