@Marvin how to deploy a deployment with a prefect.yaml file without asking for a schedule every time

To deploy a deployment using a

prefect.yaml

file without being prompted for a schedule every time, you can define the schedule directly within the

prefect.yaml

file. This way, the schedule is part of the deployment configuration, and you won't be asked to specify it each time you deploy. Here's a general approach: 1. Define the Schedule in `prefect.yaml`: Include a schedule object in your

prefect.yaml

file. This object should specify the desired schedule for your deployment. 2. Deploy Using CLI: When you run the

prefect deploy

command, it will use the schedule defined in the

prefect.yaml

file, avoiding the need for additional prompts. For more details on how to structure your

prefect.yaml

file and manage schedules, you can refer to the Prefect documentation: - Managing Deployments with prefect.yaml - Adding Schedules in Prefect If you're looking for specific syntax or examples, feel free to ask for more details.

@Marvin i dont have a schedule, i want to start the flow via api call

To deploy a flow using a

prefect.yaml

file without a schedule and start it via an API call, you can follow these steps: 1. Define Deployment in `prefect.yaml`: Ensure your

prefect.yaml

file includes the necessary deployment configuration without specifying a schedule. This will allow you to deploy the flow without any automatic scheduling. 2. Deploy the Flow: Use the CLI command

prefect deploy

pointing to your

prefect.yaml

file. This will register the deployment without a schedule. 3. Start the Flow via API Call: You can start the flow using Prefect's API. Here's a basic example of how you might do this using Python:

python
   from prefect import get_client

   async def trigger_flow_run(deployment_id):
       async with get_client() as client:
           flow_run = await client.create_flow_run_from_deployment(deployment_id=deployment_id)
           print(f"Flow run created: {flow_run.id}")

   # Replace 'your-deployment-id' with the actual deployment ID
   await trigger_flow_run('your-deployment-id')

For more detailed instructions on using the Prefect API, you may refer to the Prefect API Documentation. This approach keeps your deployment schedule-free, allowing you to trigger runs programmatically whenever needed. If you have further questions or need specific examples, feel free to ask.

@Marvin

prefect deploy

will still ask for schedule

To deploy a flow using a

prefect.yaml

file without being prompted for a schedule, you can ensure that the

schedule

field is either omitted or set to

null

in your

prefect.yaml

file. This should prevent the

prefect deploy

command from prompting you for a schedule. Here's a brief outline: 1. Modify `prefect.yaml`: Ensure your

prefect.yaml

file does not include a schedule or explicitly sets it to

null

.

yaml
   deployments:
     - name: my-deployment
       flow_name: my-flow
       parameters: {}
       schedule: null  # This line ensures no schedule is set

2. Deploy Using CLI: Run the

prefect deploy

command. With the schedule set to

null

, it should not prompt for a schedule. For more detailed information, you can refer to the Prefect documentation on managing schedules: - Prefect Schedules If you follow these steps and still encounter prompts, please let me know. There might be additional configuration specifics to address.

@Marvin still prompts

It seems there's no specific issue currently addressing the prompt for a schedule during deployment with

prefect.yaml

when you don't want one. However, you might try using the

--no-prompt

flag with your

prefect deploy

command. This is intended to suppress interactive prompts, including those for schedules. Here's how you might structure your command:

bash
prefect deploy --no-prompt

If this still doesn't work as expected, it might be worth checking if there are any updates or discussions in the Prefect community or GitHub issues related to this behavior. You can follow up with the Prefect community on their Slack channel or GitHub repository for more support.