pdf_parse_by_txt.py 21.5 KB
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import time

# from anyio import Path

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from magic_pdf.libs.commons import fitz, get_delta_time, get_img_s3_client, get_docx_model_output
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import json
import os
import math
from loguru import logger
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from magic_pdf.layout.bbox_sort import (
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    prepare_bboxes_for_layout_split,
)
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from magic_pdf.layout.layout_sort import LAYOUT_UNPROC, get_bboxes_layout, get_columns_cnt_of_layout, sort_text_block
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from magic_pdf.libs.convert_utils import dict_to_list
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from magic_pdf.libs.drop_reason import DropReason
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from magic_pdf.libs.hash_utils import compute_md5
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from magic_pdf.libs.markdown_utils import escape_special_markdown_char
from magic_pdf.libs.safe_filename import sanitize_filename
from magic_pdf.libs.vis_utils import draw_bbox_on_page, draw_layout_bbox_on_page
from magic_pdf.pre_proc.detect_images import parse_images
from magic_pdf.pre_proc.detect_tables import parse_tables  # 获取tables的bbox
from magic_pdf.pre_proc.detect_equation import parse_equations  # 获取equations的bbox
from magic_pdf.pre_proc.detect_header import parse_headers  # 获取headers的bbox
from magic_pdf.pre_proc.detect_page_number import parse_pageNos  # 获取pageNos的bbox
from magic_pdf.pre_proc.detect_footnote import parse_footnotes_by_model, parse_footnotes_by_rule  # 获取footnotes的bbox
from magic_pdf.pre_proc.detect_footer_by_model import parse_footers  # 获取footers的bbox
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from magic_pdf.post_proc.detect_para import (
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    ParaProcessPipeline,
    TitleDetectionException,
    TitleLevelException,
    ParaSplitException,
    ParaMergeException,
    DenseSingleLineBlockException,
)
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from magic_pdf.pre_proc.main_text_font import get_main_text_font
from magic_pdf.pre_proc.remove_colored_strip_bbox import remove_colored_strip_textblock
from magic_pdf.pre_proc.remove_footer_header import remove_headder_footer_one_page
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'''
from para.para_pipeline import ParaProcessPipeline
from para.exceptions import (
    TitleDetectionException,
    TitleLevelException,
    ParaSplitException,
    ParaMergeException,
    DenseSingleLineBlockException,
)
'''

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from magic_pdf.libs.commons import read_file, join_path
from magic_pdf.libs.pdf_image_tools import save_images_by_bboxes
from magic_pdf.post_proc.remove_footnote import merge_footnote_blocks, remove_footnote_blocks
from magic_pdf.pre_proc.citationmarker_remove import remove_citation_marker
from magic_pdf.pre_proc.equations_replace import combine_chars_to_pymudict, remove_chars_in_text_blocks, replace_equations_in_textblock
from magic_pdf.pre_proc.pdf_pre_filter import pdf_filter
from magic_pdf.pre_proc.detect_footer_header_by_statistics import drop_footer_header
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from magic_pdf.pre_proc.construct_page_dict import construct_page_component
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from magic_pdf.pre_proc.fix_image import combine_images, fix_image_vertical, fix_seperated_image, include_img_title
from magic_pdf.post_proc.pdf_post_filter import pdf_post_filter
from magic_pdf.pre_proc.remove_rotate_bbox import get_side_boundry, remove_rotate_side_textblock, remove_side_blank_block
from magic_pdf.pre_proc.resolve_bbox_conflict import check_text_block_horizontal_overlap, resolve_bbox_overlap_conflict
from magic_pdf.pre_proc.fix_table import fix_table_text_block, fix_tables, include_table_title
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from magic_pdf.pre_proc.solve_line_alien import solve_inline_too_large_interval
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denseSingleLineBlockException_msg = DenseSingleLineBlockException().message
titleDetectionException_msg = TitleDetectionException().message
titleLevelException_msg = TitleLevelException().message
paraSplitException_msg = ParaSplitException().message
paraMergeException_msg = ParaMergeException().message




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def parse_pdf_by_txt(
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    pdf_bytes,
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    pdf_model_output,
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    imageWriter,
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    start_page_id=0,
    end_page_id=None,
    debug_mode=False,
):
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    pdf_bytes_md5 = compute_md5(pdf_bytes)
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    pdf_docs = fitz.open("pdf", pdf_bytes)
    pdf_info_dict = {}
    start_time = time.time()

    """通过统计pdf全篇文字,识别正文字体"""
    main_text_font = get_main_text_font(pdf_docs)

    end_page_id = end_page_id if end_page_id else len(pdf_docs) - 1
    for page_id in range(start_page_id, end_page_id + 1):
        page = pdf_docs[page_id]
        page_width = page.rect.width
        page_height = page.rect.height

        if debug_mode:
            time_now = time.time()
            logger.info(f"page_id: {page_id}, last_page_cost_time: {get_delta_time(start_time)}")
            start_time = time_now
        """
        # 通过一个规则,过滤掉单页超过1500非junkimg的pdf
        # 对单页面非重复id的img数量做统计,如果当前页超过1500则直接return need_drop
        """
        page_imgs = page.get_images()
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        # 去除对junkimg的依赖,简化逻辑
        if len(page_imgs) > 1500:  # 如果当前页超过1500张图片,直接跳过
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            logger.warning(f"page_id: {page_id}, img_counts: {len(page_imgs)}, drop this pdf")
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            result = {"_need_drop": True, "_drop_reason": DropReason.HIGH_COMPUTATIONAL_lOAD_BY_IMGS}
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            if not debug_mode:
                return result

        """
        ==================================================================================================================================
        首先获取基本的block数据,对pdf进行分解,获取图片、表格、公式、text的bbox
        """
        # 解析pdf原始文本block
        text_raw_blocks = page.get_text(
            "dict",
            flags=fitz.TEXTFLAGS_TEXT,
        )["blocks"]
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        model_output_json = get_docx_model_output(pdf_model_output, page_id)
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        # 解析图片
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        image_bboxes = parse_images(page_id, page, model_output_json)
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        image_bboxes = fix_image_vertical(image_bboxes, text_raw_blocks)  # 修正图片的位置
        image_bboxes = fix_seperated_image(image_bboxes)  # 合并有边重合的图片
        image_bboxes = include_img_title(text_raw_blocks, image_bboxes)  # 向图片上方和下方寻找title,使用规则进行匹配,暂时只支持英文规则
        """此时image_bboxes中可能出现这种情况,水平并列的2个图片,下方分别有各自的子标题,2个子标题下方又有大标题(形如Figxxx),会出现2个图片的bbox都包含了这个大标题,这种情况需要把图片合并"""
        image_bboxes = combine_images(image_bboxes)  # 合并图片

        # 解析表格并对table_bboxes进行位置的微调,防止表格周围的文字被截断
        table_bboxes = parse_tables(page_id, page, model_output_json)
        table_bboxes = fix_tables(page, table_bboxes, include_table_title=True, scan_line_num=2)  # 修正
        table_bboxes = fix_table_text_block(text_raw_blocks, table_bboxes)  # 修正与text block的关系,某些table修正与pymupdf获取到的table内textblock没有完全包含,因此要进行一次修正。
        #debug_show_bbox(pdf_docs, page_id, table_bboxes, [], [b['bbox'] for b in text_raw_blocks], join_path(save_path, book_name, f"{book_name}_debug.pdf"), 7)
        table_bboxes = include_table_title(text_raw_blocks, table_bboxes)  # 向table上方和下方寻找title,使用规则进行匹配,暂时只支持英文规则

        # 解析公式
        equations_inline_bboxes, equations_interline_bboxes = parse_equations(page_id, page, model_output_json)

        """
        ==================================================================================================================================
        进入预处理-1阶段
        -------------------
        # # 解析标题
        # title_bboxs = parse_titles(page_id, page, model_output_json)
        # # 评估Layout是否规整、简单
        # isSimpleLayout_flag, fullColumn_cnt, subColumn_cnt, curPage_loss = evaluate_pdf_layout(page_id, page, model_output_json)
        接下来开始进行预处理过程
        """
        
        """去掉每页的页码、页眉、页脚"""
        page_no_bboxs = parse_pageNos(page_id, page, model_output_json)
        header_bboxs = parse_headers(page_id, page, model_output_json)
        footer_bboxs = parse_footers(page_id, page, model_output_json)
        image_bboxes, table_bboxes, remain_text_blocks, removed_hdr_foot_txt_block, removed_hdr_foot_img_block, removed_hdr_foot_table = remove_headder_footer_one_page(text_raw_blocks, image_bboxes, table_bboxes, header_bboxs, footer_bboxs, page_no_bboxs, page_width, page_height)

        """去除页面上半部分长条色块内的文本块"""
        remain_text_blocks, removed_colored_narrow_strip_background_text_block = remove_colored_strip_textblock(remain_text_blocks, page)

        #debug_show_bbox(pdf_docs, page_id, footnote_bboxes_by_model, [b['bbox'] for b in remain_text_blocks], header_bboxs, join_path(save_path, book_name, f"{book_name}_debug.pdf"), 7)

        """去掉旋转的文字:水印、垂直排列的文字"""
        remain_text_blocks, removed_non_horz_text_block = remove_rotate_side_textblock(
            remain_text_blocks, page_width, page_height
        )  # 去掉水印,非水平文字
        remain_text_blocks, removed_empty_side_block = remove_side_blank_block(remain_text_blocks, page_width, page_height) # 删除页面四周可能会留下的完全空白的textblock,这种block形成原因未知

        """出现在图片、表格上的文字块去掉,把层叠的图片单独分离出来,不参与layout的计算"""
        (
            image_bboxes,
            table_bboxes,
            equations_interline_bboxes,
            equations_inline_bboxes,
            remain_text_blocks,
            text_block_on_image_removed,
            images_overlap_backup,
            interline_eq_temp_text_block
        ) = resolve_bbox_overlap_conflict(
            image_bboxes, table_bboxes, equations_interline_bboxes, equations_inline_bboxes, remain_text_blocks
        )

        # """去掉footnote, 从文字和图片中"""
        # # 通过模型识别到的footnote
        # footnote_bboxes_by_model = parse_footnotes_by_model(page_id, page, model_output_json, md_bookname_save_path,
        #                                                     debug_mode=debug_mode)
        # # 通过规则识别到的footnote
        # footnote_bboxes_by_rule = parse_footnotes_by_rule(remain_text_blocks, page_height, page_id)
        """
        ==================================================================================================================================
        """

        # 把图、表、公式都进行截图,保存到存储上,返回图片路径作为内容
        image_info, image_backup_info, table_info, inline_eq_info, interline_eq_info = save_images_by_bboxes(
            page_id,
            page,
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            pdf_bytes_md5,
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            image_bboxes,
            images_overlap_backup,
            table_bboxes,
            equations_inline_bboxes,
            equations_interline_bboxes,
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            imageWriter
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        )  # 只要表格和图片的截图
        
        """"以下进入到公式替换环节 """
        char_level_text_blocks = page.get_text("rawdict", flags=fitz.TEXTFLAGS_TEXT)['blocks']
        remain_text_blocks = combine_chars_to_pymudict(remain_text_blocks, char_level_text_blocks)# 合并chars
        remain_text_blocks = replace_equations_in_textblock(remain_text_blocks, inline_eq_info, interline_eq_info)
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        remain_text_blocks = remove_citation_marker(remain_text_blocks) # 公式替换之后去角标,防止公式无法替换成功。但是这样也会带来个问题就是把角标当公式。各有优劣。
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        remain_text_blocks = remove_chars_in_text_blocks(remain_text_blocks) # 减少中间态数据体积
        #debug_show_bbox(pdf_docs, page_id, [b['bbox'] for b in inline_eq_info], [b['bbox'] for b in interline_eq_info], [], join_path(save_path, book_name, f"{book_name}_debug.pdf"), 3)

        """去掉footnote, 从文字和图片中(先去角标再去footnote试试)"""
        # 通过模型识别到的footnote
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        footnote_bboxes_by_model = parse_footnotes_by_model(page_id, page, model_output_json, debug_mode=debug_mode)
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        # 通过规则识别到的footnote
        footnote_bboxes_by_rule = parse_footnotes_by_rule(remain_text_blocks, page_height, page_id, main_text_font)
        """进入pdf过滤器,去掉一些不合理的pdf"""
        is_good_pdf, err = pdf_filter(page, remain_text_blocks, table_bboxes, image_bboxes)
        if not is_good_pdf:
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            logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {err}")
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            if not debug_mode:
                return err

        """
        ==================================================================================================================================
        进行版面布局切分和过滤
        """
        """在切分之前,先检查一下bbox是否有左右重叠的情况,如果有,那么就认为这个pdf暂时没有能力处理好,这种左右重叠的情况大概率是由于pdf里的行间公式、表格没有被正确识别出来造成的 """

        is_text_block_horz_overlap = check_text_block_horizontal_overlap(remain_text_blocks, header_bboxs, footer_bboxs)

        if is_text_block_horz_overlap:
            # debug_show_bbox(pdf_docs, page_id, [b['bbox'] for b in remain_text_blocks], [], [], join_path(save_path, book_name, f"{book_name}_debug.pdf"), 0)
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            logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {DropReason.TEXT_BLCOK_HOR_OVERLAP}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.TEXT_BLCOK_HOR_OVERLAP}
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            if not debug_mode:
                return result

        """统一格式化成一个数据结构用于计算layout"""
        page_y0 = 0 if len(header_bboxs) == 0 else max([b[3] for b in header_bboxs])
        page_y1 = page_height if len(footer_bboxs) == 0 else min([b[1] for b in footer_bboxs])
        left_x, right_x = get_side_boundry(removed_non_horz_text_block, page_width, page_height)
        page_boundry = [math.floor(left_x), page_y0 + 1, math.ceil(right_x), page_y1 - 1]
        # 返回的是一个数组,每个元素[x0, y0, x1, y1, block_content, idx_x, idx_y], 初始时候idx_x, idx_y都是None. 对于图片、公式来说,block_content是图片的地址, 对于段落来说,block_content是段落的内容
        
        all_bboxes = prepare_bboxes_for_layout_split(
            image_info, image_backup_info, table_info, inline_eq_info, interline_eq_info, remain_text_blocks, page_boundry, page)
        #debug_show_bbox(pdf_docs, page_id, [], [], all_bboxes, join_path(save_path, book_name, f"{book_name}_debug.pdf"), 1)
        """page_y0, page_y1能够过滤掉页眉和页脚,不会算作layout内"""
        layout_bboxes, layout_tree = get_bboxes_layout(all_bboxes, page_boundry, page_id)
        
        if len(remain_text_blocks)>0 and len(all_bboxes)>0 and len(layout_bboxes)==0:
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            logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {DropReason.CAN_NOT_DETECT_PAGE_LAYOUT}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.CAN_NOT_DETECT_PAGE_LAYOUT}
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            if not debug_mode:
                return result

        """以下去掉复杂的布局和超过2列的布局"""
        if any([lay["layout_label"] == LAYOUT_UNPROC for lay in layout_bboxes]):  # 复杂的布局
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            logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {DropReason.COMPLICATED_LAYOUT}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.COMPLICATED_LAYOUT}
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            if not debug_mode:
                return result

        layout_column_width = get_columns_cnt_of_layout(layout_tree)
        if layout_column_width > 2:  # 去掉超过2列的布局pdf
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            logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {DropReason.TOO_MANY_LAYOUT_COLUMNS}")
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            result = {
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                "_need_drop": True,
                "_drop_reason": DropReason.TOO_MANY_LAYOUT_COLUMNS,
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                "extra_info": {"column_cnt": layout_column_width},
            }
            if not debug_mode:
                return result


        """
        ==================================================================================================================================
        构造出下游需要的数据结构
        """
        remain_text_blocks = remain_text_blocks + interline_eq_temp_text_block # 把计算layout时候临时删除的行间公式再放回去,防止行间公式替换的时候丢失。
        removed_text_blocks = []
        removed_text_blocks.extend(removed_hdr_foot_txt_block)
        # removed_text_blocks.extend(removed_footnote_text_block)
        removed_text_blocks.extend(text_block_on_image_removed)
        removed_text_blocks.extend(removed_non_horz_text_block)
        removed_text_blocks.extend(removed_colored_narrow_strip_background_text_block)

        removed_images = []
        # removed_images.extend(footnote_imgs)
        removed_images.extend(removed_hdr_foot_img_block)

        images_backup = []
        images_backup.extend(image_backup_info)
        remain_text_blocks = escape_special_markdown_char(remain_text_blocks) # 转义span里的text
        sorted_text_remain_text_block = sort_text_block(remain_text_blocks, layout_bboxes)

        footnote_bboxes_tmp = []
        footnote_bboxes_tmp.extend(footnote_bboxes_by_model)
        footnote_bboxes_tmp.extend(footnote_bboxes_by_rule)
        

        page_info = construct_page_component(
            page_id,
            image_info,
            table_info,
            sorted_text_remain_text_block,
            layout_bboxes,
            inline_eq_info,
            interline_eq_info,
            page.get_text("dict", flags=fitz.TEXTFLAGS_TEXT)["blocks"],
            removed_text_blocks=removed_text_blocks,
            removed_image_blocks=removed_images,
            images_backup=images_backup,
            droped_table_block=[],
            table_backup=[],
            layout_tree=layout_tree,
            page_w=page.rect.width,
            page_h=page.rect.height,
            footnote_bboxes_tmp=footnote_bboxes_tmp
        )
        pdf_info_dict[f"page_{page_id}"] = page_info

    # end page for

    '''计算后处理阶段耗时'''
    start_time = time.time()

    """
    ==================================================================================================================================
    去掉页眉和页脚,这里需要用到一定的统计量,所以放到最后
    页眉和页脚主要从文本box和图片box中去除,位于页面的四周。
    下面函数会直接修改pdf_info_dict,从文字块中、图片中删除属于页眉页脚的内容,删除内容做相对应记录
    """
    # 去页眉页脚
    header, footer = drop_footer_header(pdf_info_dict)

    """对单个layout内footnote和他下面的所有textbbox合并"""

    for page_key, page_info in pdf_info_dict.items():
        page_info = merge_footnote_blocks(page_info, main_text_font)
        page_info = remove_footnote_blocks(page_info)
        pdf_info_dict[page_key] = page_info

    """进入pdf后置过滤器,去掉一些不合理的pdf"""

    i = 0
    for page_info in pdf_info_dict.values():
        is_good_pdf, err = pdf_post_filter(page_info)
        if not is_good_pdf:
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            logger.warning(f"page_id: {i}, drop this pdf: {pdf_bytes_md5}, reason: {err}")
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            if not debug_mode:
                return err
        i += 1

    if debug_mode:
        # 打印后处理阶段耗时
        logger.info(f"post_processing_time: {get_delta_time(start_time)}")

    """
    ==================================================================================================================================
    进入段落处理-2阶段
    """
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    # 处理行内文字间距较大问题
    pdf_info_dict = solve_inline_too_large_interval(pdf_info_dict)
    
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    start_time = time.time()

    para_process_pipeline = ParaProcessPipeline()

    def _deal_with_text_exception(error_info):
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        logger.warning(f"page_id: {page_id}, drop this pdf: {pdf_bytes_md5}, reason: {error_info}")
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        if error_info == denseSingleLineBlockException_msg:
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            logger.warning(f"Drop this pdf: {pdf_bytes_md5}, reason: {DropReason.DENSE_SINGLE_LINE_BLOCK}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.DENSE_SINGLE_LINE_BLOCK}
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            return result
        if error_info == titleDetectionException_msg:
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            logger.warning(f"Drop this pdf: {pdf_bytes_md5}, reason: {DropReason.TITLE_DETECTION_FAILED}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.TITLE_DETECTION_FAILED}
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            return result
        elif error_info == titleLevelException_msg:
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            logger.warning(f"Drop this pdf: {pdf_bytes_md5}, reason: {DropReason.TITLE_LEVEL_FAILED}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.TITLE_LEVEL_FAILED}
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            return result
        elif error_info == paraSplitException_msg:
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            logger.warning(f"Drop this pdf: {pdf_bytes_md5}, reason: {DropReason.PARA_SPLIT_FAILED}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.PARA_SPLIT_FAILED}
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            return result
        elif error_info == paraMergeException_msg:
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            logger.warning(f"Drop this pdf: {pdf_bytes_md5}, reason: {DropReason.PARA_MERGE_FAILED}")
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            result = {"_need_drop": True, "_drop_reason": DropReason.PARA_MERGE_FAILED}
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            return result

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    pdf_info_dict, error_info = para_process_pipeline.para_process_pipeline(pdf_info_dict)
    if error_info is not None:
        return _deal_with_text_exception(error_info)
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    """dict转list"""
    pdf_info_list = dict_to_list(pdf_info_dict)
    new_pdf_info_dict = {
        "pdf_info": pdf_info_list,
    }

    return new_pdf_info_dict