MinerU/tools/benchmark.py

import zipfile
import os
import shutil
import json
import markdown_calculate
code_path = os.environ.get('GITHUB_WORKSPACE')
#数据集存放路径
pdf_dev_path = "/share/quyuan/mineru/data/"
#magicpdf最终结果
pdf_res_path = "/share/quyuan/mineru/data/mineru"
file_types = ["academic_literature", "atlas", "courseware", "colorful_textbook", "historical_documents", "notes", "ordinary_books", "ordinary_exam_paper", "ordinary_textbook", "research_report", "special_exam_paper"]
def test_cli():
    #magicpdf模型输出结果
    magicpdf_path = os.path.join(pdf_dev_path, "output")
    rm_cmd = "rm -rf %s" % (pdf_res_path)
    os.system(rm_cmd)
    os.makedirs(pdf_res_path)
    cmd = 'cd %s && export PYTHONPATH=. && find %s -type f -name "*.pdf" | xargs -I{} python magic_pdf/cli/magicpdf.py  pdf-command  --pdf {}' % (code_path, magicpdf_path)
    os.system(cmd)
    for root, dirs, files in os.walk(pdf_res_path):
         for magic_file in files:
            for file_type in file_types:
                target_dir = os.path.join(pdf_dev_path, "ci", file_type, "magicpdf")
                if magic_file.endswith(".md") and magic_file.startswith(file_type):
                    source_file = os.path.join(root, magic_file)
                    target_file = os.path.join(pdf_dev_path, "ci", file_type, "magicpdf", magic_file)
                    if not os.path.exists(target_dir):
                         os.makedirs(target_dir) 
                    shutil.copy(source_file, target_file)   

def calculate_score():
    data_path = os.path.join(pdf_dev_path, "ci")
    cmd = "cd %s && export PYTHONPATH=. && python tools/clean_photo.py --tool_name annotations --download_dir %s" % (code_path, data_path)
    os.system(cmd)
    cmd = "cd %s && export PYTHONPATH=. && python tools/clean_photo.py --tool_name magicpdf --download_dir %s" % (code_path, data_path)
    os.system(cmd)
    score = markdown_calculate.Scoring(os.path.join(data_path, "result.json"))
    score.calculate_similarity_total("magicpdf", file_types, data_path)
    res = score.summary_scores()
    return res


def extrat_zip(zip_file_path, extract_to_path):
    if zipfile.is_zipfile(zip_file_path):
        with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
            zip_ref.extractall(extract_to_path)
        print(f'Files extracted to {extract_to_path}')
    else:
        print(f'{zip_file_path} is not a zip file')


def ci_ben():
    fr = open(os.path.join(pdf_dev_path, "ci", "result.json"), "r")
    lines = fr.readlines()
    last_line = lines[-1].strip()
    last_score = json.loads(last_line)
    print ("last_score:", last_score)
    last_simscore = last_score["average_sim_score"]
    last_editdistance = last_score["average_edit_distance"]
    last_bleu = last_score["average_bleu_score"]
    extrat_zip(os.path.join(pdf_dev_path, 'output.zip'), os.path.join(pdf_dev_path))
    test_cli()
    now_score = calculate_score()
    print ("now_score:", now_score)
    now_simscore = now_score["average_sim_score"]
    now_editdistance = now_score["average_edit_distance"]
    now_bleu = now_score["average_bleu_score"]
    assert last_simscore <= now_simscore
    assert last_editdistance <= now_editdistance
    assert last_bleu <= now_bleu


if __name__ == "__main__":
    ci_ben()