pdf_title_image/get_info.py

# -*- coding: utf-8 -*-
# @Author: privacy
# @Date:   2024-06-11 13:43:14
# @Last Modified by:   privacy
# @Last Modified time: 2024-07-03 16:44:17

# import os

# from PIL import Image
# from PyPDF2 import PdfReader


# # 读取PDF文件
# with open(pdf_path, 'rb') as file:
#     reader = PdfReader(file)
#     num_pages = len(reader.pages)

#     # 遍历PDF的每一页
#     for page_num in range(num_pages):
#         page = reader.pages[page_num]

#         # 提取页面中的图像
#         if '/XObject' in page['/Resources']:
#             xobjects = page['/Resources']['/XObject'].get_object()

#             for obj in xobjects:
#                 if xobjects[obj]['/Subtype'] == '/Image':
#                     size = (xobjects[obj]['/Width'], xobjects[obj]['/Height'])
#                     data = xobjects[obj].get_data()
#                     if xobjects[obj]['/ColorSpace'] == '/DeviceRGB':
#                         mode = "RGB"
#                     else:
#                         mode = "P"

#                     img = Image.frombytes(mode, size, data)
#                     img_path = os.path.join(output_dir, f'image_{page_num}_{obj}.png')
#                     img.save(img_path)
#                     print(f'Image saved: {img_path}')


#######################################################################

# import os
# import re
# import fitz

# def pdf2pic(path, save_path):
#     checkXO = r"/Type(?= */XObject)"
#     checkIM = r"/Subtype(?= */Image)"
#     pdf = fitz.open(path)
#     lenXREF = pdf._getXrefLength()
#     imgcount = 0
#     for i in range(1, lenXREF):
#         text = pdf._getXrefString(i)
#         isXObject = re.search(checkXO, text)
#         isImage = re.search(checkIM, text)
#         if not isXObject or not isImage:
#             continue
#         imgcount += 1
#         pix = fitz.Pixmap(pdf, i)
#         new_name = f"img_{imgcount}.png"
#         if pix.n < 5:
#             pix.writePNG(os.path.join(pic_path, new_name))
#         else:
#             pix0 = fitz.Pixmap(fitz.csRGB, pix)
#             pix0.writePNG(os.path.join(pic_path, new_name))
#             pix0 = None
#         pix = None


# if __name__ == '__main__':
#     pdf2pic(pdf_path, image_dir)


#######################################################################

# 标准包导入
import os
import re
import json
from io import BytesIO
from pprint import pprint

# 第三方包导入
import numpy as np
import pandas as pd
import cv2
from pdfminer.high_level import extract_pages
from pdfminer.layout import LTRect, LTTextBoxHorizontal, LTLine, LTFigure, LTCurve, LTImage, LTChar
from pdfminer.pdfcolor import LITERAL_DEVICE_CMYK
from pdfminer.pdfcolor import LITERAL_DEVICE_GRAY
from pdfminer.pdfcolor import LITERAL_DEVICE_RGB
from pdfminer.pdftypes import (
    LITERALS_DCT_DECODE,
    LITERALS_JBIG2_DECODE,
    LITERALS_JPX_DECODE,
    LITERALS_FLATE_DECODE,
)
from pdfminer.pdfparser import PDFParser, PDFSyntaxError
from pdfminer.pdfdocument import PDFDocument, PDFNoOutlines
from pdfminer.image import BMPWriter
import pdfplumber

# 自定义包导入
from tools import RefPageNumberResolver

HEADERS = set({'序号', '项目编码', '项目名称', '项目特征', '单位', '工程量', '全费用综合单价', '合价', '备注', '主材名称', '规格型号', '不低于下列同档次品牌', '投标选用品牌及规格型号', '名称', '事项', '数量', '含税单价（元）', '含税合价（元）', '条款号', '评分因素', '评分标准', '页码'})


def is_title(line: str) -> bool:
    title_word = re.findall('^[（\(][一二三四五六七八九十]+[\)）]|^\d\.|^1\d\.|^2\d\.|^[第][一二三四五六七八九十\d]+[章节条]|[一二三四五六七八九十]+[、要是]', line.strip())
    if title_word:
        return True
    title_word = re.findall('^附录|^参考文献|^附表', line.strip())
    if title_word:
        return True
    return False

def export_image(image: LTImage, path: str) -> str:
    """Save an LTImage to disk"""
    (width, height) = image.srcsize

    filters = image.stream.get_filters()

    if len(filters) == 1 and filters[0][0] in LITERALS_DCT_DECODE:
        name = _save_jpeg(image, path)

    elif len(filters) == 1 and filters[0][0] in LITERALS_JPX_DECODE:
        name = _save_jpeg2000(image, path)

    elif image.bits == 1:
        name = _save_bmp(image, width, height, (width + 7) // 8, image.bits, path)

    elif image.bits == 8 and LITERAL_DEVICE_RGB in image.colorspace:
        name = _save_bmp(image, width, height, width * 3, image.bits * 3, path)

    elif image.bits == 8 and LITERAL_DEVICE_GRAY in image.colorspace:
        name = _save_bmp(image, width, height, width, image.bits, path)

    elif len(filters) == 1 and filters[0][0] in LITERALS_FLATE_DECODE:
        name = _save_bytes(image)

    else:
        name = _save_raw(image)

    return name

def _save_jpeg(image: LTImage, path: str) -> str:
    """Save a JPEG encoded image"""
    raw_data = image.stream.get_rawdata()
    assert raw_data is not None

    path = path + ".jpg"

    with open(path, "wb") as fp:
        if LITERAL_DEVICE_CMYK in image.colorspace:
            try:
                from PIL import Image, ImageChops  # type: ignore[import]
            except ImportError:
                raise ImportError(PIL_ERROR_MESSAGE)

            ifp = BytesIO(raw_data)
            i = Image.open(ifp)
            i = ImageChops.invert(i)
            i = i.convert("RGB")
            i.save(fp, "JPEG")
        else:
            fp.write(raw_data)

    return path

def _save_jpeg2000(image: LTImage, path: str) -> str:
    """Save a JPEG 2000 encoded image"""
    raw_data = image.stream.get_rawdata()
    assert raw_data is not None

    path = path + ".png"

    try:
        from PIL import Image  # type: ignore[import]
    except ImportError:
        raise ImportError(PIL_ERROR_MESSAGE)

    # 如果我们只写原始数据，我尝试过的大多数图像程序都无法打开文件。
    # 然而，使用OpenCV2打开和保存会生成一个文件，该文件似乎很容易被其他程序打开
    ifp = BytesIO(raw_data)
    i = Image.open(ifp)
    opencv_image = cv2.cvtColor(np.array(i), cv2.COLOR_RGB2BGR)
    cv2.imwrite(path, opencv_image)
    return path

def _save_bmp(image: LTImage, width: int, height: int, bytes_per_line: int, bits: int, path: str) -> str:
    """Save a BMP encoded image"""
    path = path + ".bmp"
    with open(path, "wb") as fp:
        bmp = BMPWriter(fp, bits, width, height)
        data = image.stream.get_data()
        i = 0
        for y in range(height):
            bmp.write_line(y, data[i : i + bytes_per_line])
            i += bytes_per_line
    return name

def main_parse(pdf_path: str, title_path: str, image_dir: str) -> None:
    texts = []
    images = []
    # 读取PDF文件并提取页面
    for page_number, page_layout in enumerate(extract_pages(pdf_path)):
        title_index = 0
        image_index = 0
        for element in page_layout:
            if isinstance(element, LTLine):
                pass
            elif isinstance(element, LTRect):
                pass
            elif isinstance(element, LTTextBoxHorizontal) and len(element._objs) == 1:
                text = element.get_text().strip()
                # # 假设标题通常是一行且字体较大
                if text and (is_title(text) or element.height > 15):
                    texts.append({'index': title_index, 'page_number': page_number, 'bbox': element.bbox, 'text': text})
                    title_index += 1
            elif isinstance(element, LTFigure):
                for e_obj in element._objs:
                    if isinstance(e_obj, LTImage):
                        # 提取图片数据
                        image_file = os.path.join(image_dir, f'image_page_{page_number}_{image_index}')
                        image_file = export_image(e_obj, image_file)
                        images.append(image_file)
                        pprint(f'Image saved: {image_file}')
                        image_index += 1

    with open(title_path, 'w', encoding='utf-8') as fp:
        json.dump(texts, fp, indent=4, ensure_ascii=False)


def table_parse(pdf_path: str, title_path: str, start_title: str = '六、已标价工程量清单', end_title: str = '七、施工组织设计', table_path: str = 'table.json', start_page_number: int = None, end_page_number: int = None) -> list:
    """pdf表格解析功能
    @pdf_path
    @title_path
    @start_title
    @end_title
    @table_path
    @start_page_number
    @end_page_number
    """
    tables = []

    if (start_page_number == None) or (end_page_number == None):
        df = pd.read_json(title_path)
        start_page_number = df[df['text'] == start_title].page_number.max()
        end_page_number = df[df['text'] == end_title].page_number.max()

    def concat_table(tables, table):
        """尝试将表添加到结果列中，有两种情况，直接添加一个新表；拼接最后一个表
        @tables
        @table
        """
        first = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[0]]
        tail = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[-1]]
        if len(table) > 1:
            second = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[1]]
        # pprint(first)
        if len(HEADERS & set(first)) > 2:
            # pprint("找到大量表头元素，判断为独立表头，生成新表!")
            tables.append({"page_numbers": [i], "title_len": len(first), "col_len": len(table[-1]), "table": table, "confidence": 1})
        elif ((i-1) in tables[-1]['page_numbers']) and (len(first) == tables[-1]['col_len']):
            # pprint("有空列，不是单独表，直接合并")
            tables[-1]['page_numbers'].append(i)
            tables[-1]['table'].extend(table)
        else:
            tables.append({"page_numbers": [i], "title_len": len(first), "col_len": len(table[-1]), "table": table, "confidence": 0})
        return tables

    with pdfplumber.open(pdf_path) as pdf:
        for i in range(start_page_number, end_page_number):
            for table in pdf.pages[i].extract_tables():
                tables = concat_table(tables, table)

    with open(table_path, 'w', encoding='utf-8') as fp:
        json.dump(tables, fp, indent=4, ensure_ascii=False)

    return tables


class PdfExtractAttr(object):
    def __init__(self, file_path: str):
        """PDF文件解析
        @file_path
        """
        super(PdfExtractAttr, self).__init__()
        self.file_path = file_path
        self.details = []
        self.tables = []

    def parse_outline(self):
        """PDF大纲解析
        """
        results = []
        with open(self.file_path, "rb") as fp:
            try:
                parser = PDFParser(fp)
                document = PDFDocument(parser)
                ref_pagenum_resolver = RefPageNumberResolver(document)
                outlines = document.get_outlines()
                for (level, title, dest, a, se) in outlines:
                    if dest:
                        page_num = ref_pagenum_resolver.resolve(dest)
                    elif a:
                        page_num = ref_pagenum_resolver.resolve(a)
                    elif se:
                        page_num = ref_pagenum_resolver.resolve(se)
                    else:
                        page_num = None
                    results.append({'level': level, 'title': title, 'page_number': page_num})
            except PDFNoOutlines:
                print("No outlines found.")
            except PDFSyntaxError:
                print("Corrupted PDF or non-PDF file.")
            finally:
                parser.close()

        with open('outlines.json', 'w', encoding='utf-8') as op:
            json.dump(results, op, indent=4, ensure_ascii=False)

        print(results)

    def parse_text(self) -> None:
        """文本解析
        """
        for page_number, page_layout in enumerate(extract_pages(self.file_path)):
            for element in page_layout:
                if isinstance(element, LTTextBoxHorizontal):
                    # 距离左侧
                    left = element.x0
                    # 距离右侧
                    right = (page_layout.width - element.x1)
                    # 距离上侧
                    top = (page_layout.height - element.y1)
                    # 距离下侧
                    button = element.y0
                    # 文本宽度
                    width = element.width
                    if (left > right) and (abs(left - right) > 100):
                        alignment = 'right'
                    elif (left > 100) and (abs(left - right) < 50) and ((abs(left - right) / width) < 0.5):
                        alignment = 'center'
                    else:
                        alignment = 'left'
                    self.details.append({
                        'page_number': page_number,
                        'index': element.index,
                        'x0': element.bbox[0],
                        'y0': element.bbox[1],
                        'x1': element.bbox[2],
                        'y1': element.bbox[3],
                        'alignment': alignment,
                        'lines': len(element._objs),
                        'text': element.get_text().strip(),
                        'is_table_name': element.get_text().strip().endswith('表')
                    })
        self.detail_df = pd.DataFrame(self.details)

    def concat_table(self, table: list, page_number: int, table_name: str = None) -> None:
        """尝试将表添加到结果列中，有两种情况，直接添加一个新表；拼接最后一个表
        @table
        """
        first = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[0]]
        tail = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[-1]]
        if len(table) > 1:
            second = [''.join([i for i in cell.split() if i]) if cell else cell for cell in table[1]]
        else:
            second = None
        # pprint(first)
        if len(HEADERS & set(first)) > 2:
            # pprint("找到大量表头元素，判断为独立表头，生成新表!")
            self.tables.append({"page_numbers": [page_number], "title_len": len(first), "col_len": len(table[-1]), "table": table, "confidence": 1, "table_name": table_name if table_name else ""})
        elif second and (len(HEADERS & set(second)) > 2):
            # pprint("找到大量表头元素，判断为独立表头，生成新表!")
            if not table_name:
                first = [i for i in first if i]
                if len(first) == 1:
                    table_name = "".join(first)
            self.tables.append({"page_numbers": [page_number], "title_len": len(second), "col_len": len(table[-1]), "table": table[1:], "confidence": 1, "table_name": table_name if table_name else ""})
        elif ((page_number-1) in self.tables[-1]['page_numbers']) and (len(first) == self.tables[-1]['col_len']):
            # pprint("有空列，不是单独表，直接合并")
            self.tables[-1]['page_numbers'].append(page_number)
            self.tables[-1]['table'].extend(table)
        else:
            self.tables.append({"page_numbers": [page_number], "title_len": len(first), "col_len": len(table[-1]), "table": table, "confidence": 0, "table_name": table_name if table_name else ""})
    
    def parse_table(self) -> None:
        """表格解析
        """
        with pdfplumber.open(self.file_path) as pdf:
            for page_number, page_layout in enumerate(pdf.pages):
                # 查询是否存在表格
                tables = page_layout.find_tables()
                # 检测到该页面存在一个表格，对其进行合并判断
                if len(tables) == 1:
                    table = tables[0]
                    x0, y0, x1, y1 = table.bbox
                    table_title_df = self.detail_df.query(f''' page_number == {page_number} and is_table_name == True and alignment == "center" ''')
                    if table_title_df.empty:
                        self.concat_table(table.extract(), page_number=page_number)
                    else:
                        table_title_name = table_title_df.iloc[0]['text']
                        self.concat_table(table.extract(), page_number=page_number, table_name=table_title_name)
                    table = tables[0]
                    #self.concat_table(table.extract(), table_title_name)
                # 检测到存在多个表格，对第一个表格进行合并判断之后的表格一定不相干
                elif len(tables) > 1:
                    pass

    def output(self, table_path: str = 'all_tables.json'):
        """结果输出
        """
        with open(table_path, 'w', encoding='utf-8') as fp:
            json.dump(self.tables, fp, indent=4, ensure_ascii=False)

        return self.tables


if __name__ == '__main__':
    pdf_path = './投标文件-修改版9-5-1-1.pdf'
    title_path = './投标文件-修改版9-5-1-1.json'
    image_dir = './extracted_images'
    os.makedirs(image_dir, exist_ok=True)
    main_parse(pdf_path=pdf_path, title_path=title_path, image_dir=image_dir)
    # tables = table_parse(pdf_path=pdf_path, title_path=title_path, start_title='六、已标价工程量清单', end_title = '七、施工组织设计')
    # tables = table_parse(pdf_path=pdf_path, title_path=title_path, start_page_number=0, end_page_number=725)
    agent = PdfExtractAttr(file_path=pdf_path)
    agent.parse_outline()
    agent.parse_text()
    agent.parse_table()
    agent.output()