Skip to content

Running a second Cascade immediately after the first raises non-blocking error #2

Description

@Kyle-Ross

Run using functions defined as:

def analyse_improvement_comments(source_file: str) -> pd.DataFrame:
    # code
    )

    # Sanitising the data of sensitive information, on default patterns and appends the result

    improvement_cascade.sanitiser.add_pattern(
        # code
    )
    improvement_cascade.sanitiser.run()

    # Set the LLM Handler for this cascade instance
    improvement_cascade.set_llm_handler(
        # code
    )

    # Run the llm_handler
    improvement_cascade.llm_handler.run("HandlerImprovementComments1")

    # Output the result in the specified format
    return improvement_cascade.get_output()


def analyse_dept_comments(source_file: str) -> pd.DataFrame:
    # Intialising a cascade object, setting its first record from the source file
    department_cascade = gd.Cascade(
        # code
    )

    # Sanitising the data of sensitive information, on default patterns and appends the result

    department_cascade.sanitiser.add_pattern(
        # code
    )
    department_cascade.sanitiser.run()

    # Set the LLM Handler for this cascade instance
    department_cascade.set_llm_handler(
        # code
    )

    # Run the llm_handler
    department_cascade.llm_handler.run("HandlerDeptSatisfactionComments1")

    # Output the result in the specified format
    return department_cascade.get_output()

Then imported and ran like this:

# Run generation cascades and store result
improvement_generation = analyse_improvement_comments(improvement_input)
department_generation = analyse_dept_comments(department_input)

See attached logs for error.

Output seemed fine.

logs.txt

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions