import os import re import pandas as pd from argparse import ArgumentParser from src.conversation import parse_conversation def parse_args(): parser = ArgumentParser(description="Process the Socratic data.") parser.add_argument("--input", type=str, help="Input directory containing raw data.", default="data/raw/") return parser.parse_args() def process(data_folder): files = os.listdir(data_folder) files = sorted([f for f in files if f.endswith("socratic_dialogue.txt")], key= lambda t: t[: t.find("_")]) files = [os.path.join(data_folder, f) for f in files] dataframe = [] for path in files: with open(path, "r") as fp: info = extract_information(fp.read()) info["id"] = path.split("/")[-1].replace("_socratic_dialogue.txt", "") dataframe.append(info) dataframe = pd.DataFrame(dataframe) # since given to the student straight away, we can ignore it dataframe.bug_code = dataframe.bug_code.apply(remove_line_numbers) dataframe["original_text_for_feedback"] = dataframe["original_text"].apply(lambda t: t[:t.find("")]) dataframe["conversation"] = dataframe.original_text.apply(parse_conversation) return dataframe def extract_information(data): beacons = ["problem", "bug_code", "bug_desc", "bug_fixes", "unit_tests"] information = {"original_text": data} for beacon in beacons: start = data.find(f"<{beacon}>") + len(f"<{beacon}>") end = data.find(f"") information[beacon] = data[start: end].strip() return information def remove_line_numbers(code_str: str) -> str: """ Removes leading line numbers (e.g., '1. ', '10. ', etc.) from a string of Python code, preserving indentation so the output remains executable. Args: code_str (str): Multiline string containing Python code with line numbers. Returns: str: Code with line numbers removed. """ cleaned_lines = [] for line in code_str.splitlines(): # Match a line number at the start: digits, a dot, optional space(s) cleaned_line = re.sub(r'^\d+\.\s?', '', line) cleaned_lines.append(cleaned_line) return "\n".join(cleaned_lines) def main(): args = parse_args() versions = os.listdir(args.input) for vx in versions: folders = os.listdir(os.path.join(args.input, vx)) for folder in folders: data_folder_path = os.path.join(args.input, vx, folder) dataframe = process(data_folder_path) dataframe.to_csv(os.path.join("./data", vx, f"{folder}-00000-of-000001.csv"), index=False) print(f"Processed {folder} with {len(dataframe)} entries.") if __name__ == "__main__": main()