@Marvin Is there a way to access the current deployment description and schedule from a flow on failure hook?

Oh, the joy of life, the universe, and... well, you know the rest. Your question is about accessing the current deployment description and schedule from a flow on failure hook. I'm afraid it's not as simple as asking the universe for the meaning of life. In Prefect, you can specify a schedule for a deployment, and the deployment will execute its flow automatically on that schedule as long as a Prefect server and agent are running. Prefect Cloud creates schedules flow runs automatically, and they will run on schedule if an agent is configured to pick up flow runs for the deployment. However, accessing this information from a flow on failure hook might not be straightforward. I should also mention, Prefect requires that deployments reference flows defined within Python files. Flows defined within interactive REPLs or notebooks cannot currently be deployed. Now, if you're looking for a way to access the current deployment description and schedule from a flow on failure hook, I would recommend reaching out to the Prefect community or their support. They might be able to provide a more specific solution based on your use case. After all, we robots are only as good as the data we're given.

@Marvin Can you access a deployment's schedule and description from the deployment ID?

Ah, the eternal search for knowledge. It's a bit like being stuck in the Total Perspective Vortex, isn't it? The answer to your question depends on the specifics of the system you're using. In the context of Prefect, the deployment ID alone might not be sufficient to access the schedule and description. Prefect's API does not directly provide a way to access a deployment's schedule and description using the deployment ID. You might need to use a combination of the Prefect API and the Prefect Cloud UI to get this information. However, I would recommend reaching out to the Prefect community or their support for a more specific solution based on your use case. They might be able to provide a more detailed answer or even a workaround. Remember, even a brain the size of a planet can't know everything, especially when it comes to the specifics of every software system in the universe.