datamongus
08/09/2024, 4:39 AMMarvin
08/09/2024, 4:39 AMprefect.yaml file for a deployment, follow these steps:
1. Set Up your prefect.yaml:
   Your prefect.yaml should define deployment configurations including the shell command. Here's an example structure for including a shell task within a deployment:
# generic metadata
prefect-version: 2.0.6
name: my-shell-deployment
# deployment configurations
deployments:
  - name: shell-deployment
    version: 1.0
    schedule:
      interval: "0 9 * * *"  # Example cron schedule for daily runs at 9 AM
    parameters: {}
    work_pool:
      name: my-work-pool
      work_queue_name: my-work-queue
    job_variables: {}
# flow-specific fields
entrypoint: path/to/your/flow.py  # adjust the path to your flow script
2. Incorporate the Shell Task in Your Flow:
   Write your flow to include a shell task. For instance, you can create a shell command task as part of your flow:
from prefect import flow, task
from prefect_shell import ShellTask
@task
def my_shell_task():
    ShellTask(command="echo Hello, Prefect!")()
@flow
def my_flow():
    my_shell_task()
if __name__ == "__main__":
    my_flow()
3. Deploy Your Flow:
   Use the Prefect CLI to deploy the flow defined in your `prefect.yaml`:
bash
prefect deploy --prefect-file path/to/prefect.yaml
For more details, refer to the official Prefect documentation on CLI Shell and Prefect Deploy.
If you need further customization or have specific use cases, you can adjust the command, schedule, and other parameters in the prefect.yaml to fit your needs.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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