import os

import pandas as pd

BASE_DIR = os.path.join(".")

if __name__ == "__main__":
    chapters = []

    for root, dirs, files in os.walk(os.path.join(BASE_DIR, "documents")):
        if "extracted_text.md" in files:
            with open(os.path.join(root, "extracted_text.md"), "r", encoding="utf-8") as file:
                full_path = os.path.join(root, "extracted_text.md")
                text = file.read()
                lines = text.split("\n")
                chapters_indices = [i for i in range(len(lines)) if lines[i].startswith("# ")]
                for i in range(len(chapters_indices)):
                    next_index = chapters_indices[i + 1] if i < len(chapters_indices) - 1 else len(lines)

                    title = lines[chapters_indices[i]][2:].strip()

                    content = '\n'.join(lines[chapters_indices[i] + 1:next_index])
                    content = '\n'.join(line.rstrip() for line in content.split("\n"))
                    content = content.rstrip()

                    chapters.append({
                        'region': full_path.split('\\')[-5],
                        'topic': full_path.split('\\')[-4],
                        'document_type': full_path.split('\\')[-3],
                        'entity': full_path.split('\\')[-2].split('_')[1],
                        'document_date': full_path.split('\\')[-2].split('_')[0],
                        'document_id': full_path.split('\\')[-2].split('_')[2],
                        'progress': i+1,
                        "title": title,
                        "content": content
                    })

    df = pd.DataFrame(chapters).sort_values(by=['region', 'topic', 'document_type', 'document_id', 'progress'])
    df.to_csv(os.path.join(BASE_DIR, 'corpus.csv'), index=False, encoding='utf-8')
    df.to_csv(os.path.join(BASE_DIR, 'corpus.tsv'), sep='\t', index=False, encoding='utf-8')
    df.to_excel(os.path.join(BASE_DIR, 'corpus.xlsx'), index=False)