@Marvin I'm receiving this error: Crash detected! Execution was interrupted by an unexpected exception: PrefectHTTPStatusError: Server error '500 Internal Server Error' for url 'http://prefect-server.prefect.svc.cluster.local:8080/api/task_runs/7cf53f17-9286-40a2-beb8-2182956f78b9/set_state' Response: {'exception_message': 'Internal Server Error'} For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/500 Can you help me?

To help you with the error you're encountering, I need to determine your Prefect version first. Could you please let me know if you are using Prefect 2.x or 3.x? This will guide my search for the most relevant solution. If you're unsure, please provide any additional context or error details you have.

@Marvin i'm using the 2.20.1 prefect version.

The error you're encountering, a

500 Internal Server Error

, indicates that something went wrong on the server side. This type of error doesn't specify a particular client-side action to resolve, as it's often due to server-side issues or misconfigurations. However, I've found relevant information that might help you address this problem. 1. Possible Causes and Actions: - Network Configuration: If you are using Prefect with integrations such as Databricks, transient networking issues or misconfigurations might lead to server errors. Ensure network settings are correctly configured to prevent access issues. - Prefect Databricks Integration contains troubleshooting steps that might be applicable. - Retry Settings: Issues may arise from retry settings in your task configuration. For example, using

exponential_backoff

with

retries=0

was identified as causing 500 errors in some cases. You might want to adjust retry configurations to ensure they align with your task and system capabilities. - Related GitHub Issue: Exponential backoff with retries=0 causes a 500 internal server error. - Database Timeouts and Configuration: If you are seeing random 500 errors, it might be related to database connection issues. Increasing

PREFECT_API_DATABASE_CONNECTION_TIMEOUT

and

PREFECT_API_DATABASE_TIMEOUT

has helped in some cases. Verify database performance and configuration. - Related GitHub Issue: Random 500 Internal Server Error in UI. 2. Check for Updates: Ensure that you are using the latest version of Prefect, as the bug may have been resolved in a more recent release. Consider updating or re-evaluating your current Prefect deployment. 3. Inspect Server Logs: Check your Prefect server logs for specific traceback or error messages that could indicate the root cause of the issue. This might provide insight into what part of the server process is failing. If these steps do not resolve the issue, you may want to seek further assistance by providing server logs or additional context to the Prefect community or support channels.

@task(
    name="clean_old_records",
    description="Delete records older than three months from the specified table in the Prefect database.",
    task_run_name=generate_task_name,
    tags=["clean_logs"],
)
async def clean_old_records(table_name: str):
    """
    Deletes records older than three months from the specified table in the Prefect database.

    Args:
        table_name: The name of the table from which to delete old records.

    Returns:
        None

    Example:
    ```python
    clean_old_records(
        table_name="table1",
    )

""" prefect_db = await load_credential("prefectdb") conn = psycopg.connect(prefect_db, autocommit=True) logger = get_run_logger() logger.info(f"Deleting data from the table {table_name}") with conn.cursor() as cur: cur.execute( f""" DELETE FROM public.{table_name} WHERE "created" < NOW() - INTERVAL '3 months'; """ ) logger.info(f"Deleted old records from {table_name}.") return table_name @task( name="reclaim_space_old_records", description="Reclaims space by deleting records older than three months from a specified table in the Prefect database.", task_run_name=generate_task_name, tags=["clean_logs"], ) async def reclaim_space_old_records(table_name: str): """ Reclaims space by deleting records older than three months from the specified table in the Prefect database. Args: table_name: The name of the table from which to reclaim space by deleting old records. Returns: None Example:

python
    reclaim_space_old_records(
        table_name="table1",
    )

""" prefect_db = await load_credential("prefectdb") conn = psycopg.connect(prefect_db, autocommit=True) logger = get_run_logger() logger.info(f"Cleaning data from the table {table_name}") with conn.cursor() as cur: cur.execute(f"VACUUM FULL public.{table_name};") logger.info(f"Executed VACUUM FULL on {table_name} to reclaim space.")```