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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("<stu_desc>")])
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"</{beacon}>")
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() |