Postprocessing

class rupsycho.postprocessing.PostprocessingPipeline(config_file_path, results_file_patterns, cleaner, validator, judge, output_path='processed_results.csv')[source]

Bases: object

A pipeline for postprocessing experiment results by cleaning responses, validating them, and determining the best answer option.

This class loads CSV files matching specified patterns, applies text cleaning, validation, and judgment processes, and then saves the processed results.

config_file_path

Path to the JSON configuration file defining the experiment structure.

Type:: str

results_file_patterns

List of file patterns to locate result CSVs.

Type:: list

cleaner

An instance of a cleaner that preprocesses text responses.

Type:: object

validator

An instance of a validator that determines the validity of responses.

Type:: object

judge

An instance of a judge that selects the best answer option.

Type:: object

output_path

Path where the processed results CSV will be saved.

Type:: str

run()[source]

Run the postprocessing pipeline: load data, process it, and save the results.

Outputs:: Saves the processed results to a CSV file specified by the output_path.