ASHIK
07/16/2025, 1:04 PMMarvin
07/16/2025, 1:04 PMMarvin
07/16/2025, 1:04 PMMarvin
07/16/2025, 1:04 PMMarvin
07/16/2025, 1:05 PMprefect.yaml
file in your project directory. Here's a basic example:
yaml
deployments:
- name: my-deployment
version: null
tags: []
description: null
schedule: null
flow_name: my_flow
entrypoint: path/to/flow.py:my_flow
work_pool:
name: my-work-pool
work_queue_name: default
job_variables: {}
work_pools:
- name: my-work-pool
type: process
base_job_template: {}
2. For more complex worker types (like Kubernetes or Docker), you'll need to specify additional configuration in the work_pools
section. For example, for a Docker work pool:
yaml
work_pools:
- name: docker-pool
type: docker
base_job_template:
image: your-image:tag
volumes:
- /host/path:/container/path
3. To deploy using this YAML configuration:
bash
prefect deploy
4. To start a worker that uses this configuration:
bash
prefect worker start -p "my-work-pool"
Important notes:
- The exact YAML configuration will depend on your worker type (process, docker, kubernetes, etc.)
- Make sure you have the appropriate infrastructure packages installed (e.g., prefect-docker
for Docker workers)
- The work pool configuration in the YAML file must match an existing work pool or you'll need to create it first
- You can use YAML aliases (&) and references (*) to reuse configuration blocks
Would you like me to provide a more specific example for a particular worker type (Docker, Kubernetes, etc.) or explain any part of this in more detail?