@Marvin how can I profile tasks or flows on their memory consumption and execution time?

To profile tasks or flows in Prefect for memory consumption and execution time, you can use the following approaches: 1. Logging and Monitoring: Utilize Prefect's logging capabilities to capture execution time by logging timestamps at the start and end of tasks or flows. Prefect's API provides functions like

get_run_logger

to integrate logging within your tasks and flows. You can log the memory usage at various points using Python's standard libraries like

psutil

. 2. Custom Profiling: Implement custom profiling by wrapping your task or flow logic with memory and time profiling tools. Libraries like

memory_profiler

and

time

can be used to measure memory usage and execution time respectively. 3. Prefect Artifacts: Prefect offers artifact creation functions like

create_table_artifact

or

create_markdown_artifact

that can be used to store and visualize profiling data. For example, you might log memory usage and execution time to a table or markdown artifact for later analysis. You can explore Prefect's logging and artifact capabilities further: - Prefect Logging - Prefect Artifacts These approaches should help you track and profile your tasks and flows effectively. If you need more specific examples or guidance, feel free to ask!