MinerU/mineru/cli/common.py

# Copyright (c) Opendatalab. All rights reserved.
import io
import json
import os
import copy
from pathlib import Path

import pypdfium2 as pdfium
from loguru import logger

from mineru.data.data_reader_writer import FileBasedDataWriter
from mineru.utils.draw_bbox import draw_layout_bbox, draw_span_bbox
from mineru.utils.enum_class import MakeMode
from mineru.utils.pdf_image_tools import images_bytes_to_pdf_bytes
from mineru.backend.vlm.vlm_middle_json_mkcontent import union_make as vlm_union_make
from mineru.backend.vlm.vlm_analyze import doc_analyze as vlm_doc_analyze

pdf_suffixes = [".pdf"]
image_suffixes = [".png", ".jpeg", ".jpg"]


def read_fn(path):
    if not isinstance(path, Path):
        path = Path(path)
    with open(str(path), "rb") as input_file:
        file_bytes = input_file.read()
        if path.suffix in image_suffixes:
            return images_bytes_to_pdf_bytes(file_bytes)
        elif path.suffix in pdf_suffixes:
            return file_bytes
        else:
            raise Exception(f"Unknown file suffix: {path.suffix}")


def prepare_env(output_dir, pdf_file_name, parse_method):
    local_md_dir = str(os.path.join(output_dir, pdf_file_name, parse_method))
    local_image_dir = os.path.join(str(local_md_dir), "images")
    os.makedirs(local_image_dir, exist_ok=True)
    os.makedirs(local_md_dir, exist_ok=True)
    return local_image_dir, local_md_dir


def convert_pdf_bytes_to_bytes_by_pypdfium2(pdf_bytes, start_page_id=0, end_page_id=None):

    # 从字节数据加载PDF
    pdf = pdfium.PdfDocument(pdf_bytes)

    # 确定结束页
    end_page_id = end_page_id if end_page_id is not None and end_page_id >= 0 else len(pdf) - 1
    if end_page_id > len(pdf) - 1:
        logger.warning("end_page_id is out of range, use pdf_docs length")
        end_page_id = len(pdf) - 1

    # 创建一个新的PDF文档
    output_pdf = pdfium.PdfDocument.new()

    # 选择要导入的页面索引
    page_indices = list(range(start_page_id, end_page_id + 1))

    # 从原PDF导入页面到新PDF
    output_pdf.import_pages(pdf, page_indices)

    # 将新PDF保存到内存缓冲区
    output_buffer = io.BytesIO()
    output_pdf.save(output_buffer)

    # 获取字节数据
    output_bytes = output_buffer.getvalue()

    pdf.close()  # 关闭原PDF文档以释放资源
    output_pdf.close()  # 关闭新PDF文档以释放资源

    return output_bytes


def do_parse(
    output_dir,
    pdf_file_names: list[str],
    pdf_bytes_list: list[bytes],
    p_lang_list: list[str],
    backend="pipeline",
    parse_method="auto",
    p_formula_enable=True,
    p_table_enable=True,
    server_url=None,
    f_draw_layout_bbox=True,
    f_draw_span_bbox=True,
    f_dump_md=True,
    f_dump_middle_json=True,
    f_dump_model_output=True,
    f_dump_orig_pdf=True,
    f_dump_content_list=True,
    f_make_md_mode=MakeMode.MM_MD,
    start_page_id=0,
    end_page_id=None,
):

    if backend == "pipeline":

        from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make
        from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json
        from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze

        for idx, pdf_bytes in enumerate(pdf_bytes_list):
            new_pdf_bytes = convert_pdf_bytes_to_bytes_by_pypdfium2(pdf_bytes, start_page_id, end_page_id)
            pdf_bytes_list[idx] = new_pdf_bytes

        infer_results, all_image_lists, all_pdf_docs, lang_list, ocr_enabled_list = pipeline_doc_analyze(pdf_bytes_list, p_lang_list, parse_method=parse_method, formula_enable=p_formula_enable,table_enable=p_table_enable)

        for idx, model_list in enumerate(infer_results):
            model_json = copy.deepcopy(model_list)
            pdf_file_name = pdf_file_names[idx]
            local_image_dir, local_md_dir = prepare_env(output_dir, pdf_file_name, parse_method)
            image_writer, md_writer = FileBasedDataWriter(local_image_dir), FileBasedDataWriter(local_md_dir)

            images_list = all_image_lists[idx]
            pdf_doc = all_pdf_docs[idx]
            _lang = lang_list[idx]
            _ocr_enable = ocr_enabled_list[idx]

            middle_json = pipeline_result_to_middle_json(model_list, images_list, pdf_doc, image_writer, _lang, _ocr_enable, p_formula_enable)

            pdf_info = middle_json["pdf_info"]

            pdf_bytes = pdf_bytes_list[idx]
            if f_draw_layout_bbox:
                draw_layout_bbox(pdf_info, pdf_bytes, local_md_dir, f"{pdf_file_name}_layout.pdf")

            if f_draw_span_bbox:
                draw_span_bbox(pdf_info, pdf_bytes, local_md_dir, f"{pdf_file_name}_span.pdf")

            if f_dump_orig_pdf:
                md_writer.write(
                    f"{pdf_file_name}_origin.pdf",
                    pdf_bytes,
                )

            if f_dump_md:
                image_dir = str(os.path.basename(local_image_dir))
                md_content_str = pipeline_union_make(pdf_info, f_make_md_mode, image_dir)
                md_writer.write_string(
                    f"{pdf_file_name}.md",
                    md_content_str,
                )

            if f_dump_content_list:
                image_dir = str(os.path.basename(local_image_dir))
                content_list = pipeline_union_make(pdf_info, MakeMode.CONTENT_LIST, image_dir)
                md_writer.write_string(
                    f"{pdf_file_name}_content_list.json",
                    json.dumps(content_list, ensure_ascii=False, indent=4),
                )

            if f_dump_middle_json:
                md_writer.write_string(
                    f"{pdf_file_name}_middle.json",
                    json.dumps(middle_json, ensure_ascii=False, indent=4),
                )

            if f_dump_model_output:
                md_writer.write_string(
                    f"{pdf_file_name}_model.json",
                    json.dumps(model_json, ensure_ascii=False, indent=4),
                )

            logger.info(f"local output dir is {local_md_dir}")
    else:

        if backend.startswith("vlm-"):
            backend = backend[4:]

        f_draw_span_bbox = False
        parse_method = "vlm"
        for idx, pdf_bytes in enumerate(pdf_bytes_list):
            pdf_file_name = pdf_file_names[idx]
            pdf_bytes = convert_pdf_bytes_to_bytes_by_pypdfium2(pdf_bytes, start_page_id, end_page_id)
            local_image_dir, local_md_dir = prepare_env(output_dir, pdf_file_name, parse_method)
            image_writer, md_writer = FileBasedDataWriter(local_image_dir), FileBasedDataWriter(local_md_dir)
            middle_json, infer_result = vlm_doc_analyze(pdf_bytes, image_writer=image_writer, backend=backend, server_url=server_url)

            pdf_info = middle_json["pdf_info"]

            if f_draw_layout_bbox:
                draw_layout_bbox(pdf_info, pdf_bytes, local_md_dir, f"{pdf_file_name}_layout.pdf")

            if f_draw_span_bbox:
                draw_span_bbox(pdf_info, pdf_bytes, local_md_dir, f"{pdf_file_name}_span.pdf")

            if f_dump_orig_pdf:
                md_writer.write(
                    f"{pdf_file_name}_origin.pdf",
                    pdf_bytes,
                )

            if f_dump_md:
                image_dir = str(os.path.basename(local_image_dir))
                md_content_str = vlm_union_make(pdf_info, f_make_md_mode, image_dir)
                md_writer.write_string(
                    f"{pdf_file_name}.md",
                    md_content_str,
                )

            if f_dump_content_list:
                image_dir = str(os.path.basename(local_image_dir))
                content_list = vlm_union_make(pdf_info, MakeMode.CONTENT_LIST, image_dir)
                md_writer.write_string(
                    f"{pdf_file_name}_content_list.json",
                    json.dumps(content_list, ensure_ascii=False, indent=4),
                )

            if f_dump_middle_json:
                md_writer.write_string(
                    f"{pdf_file_name}_middle.json",
                    json.dumps(middle_json, ensure_ascii=False, indent=4),
                )

            if f_dump_model_output:
                model_output = ("\n" + "-" * 50 + "\n").join(infer_result)
                md_writer.write_string(
                    f"{pdf_file_name}_model_output.txt",
                    model_output,
                )

            logger.info(f"local output dir is {local_md_dir}")



if __name__ == "__main__":
    # pdf_path = "../../demo/pdfs/demo3.pdf"
    pdf_path = "C:/Users/zhaoxiaomeng/Downloads/4546d0e2-ba60-40a5-a17e-b68555cec741.pdf"

    try:
       do_parse("./output", [Path(pdf_path).stem], [read_fn(Path(pdf_path))],["ch"],
                end_page_id=10,
                backend='vlm-huggingface'
                # backend = 'pipeline'
                )
    except Exception as e:
        logger.exception(e)