155 lines
5.4 KiB
Python
155 lines
5.4 KiB
Python
import PyPDF2
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from flask_app.general.读取文件.clean_pdf import extract_common_header, clean_page_content
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import fitz # PyMuPDF
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def extract_text_by_page_fitz(file_path):
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common_header = extract_common_header(file_path)
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# print(common_header)
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# common_header=""
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result = ""
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with fitz.open(file_path) as doc:
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num_pages = len(doc)
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for page_num in range(num_pages):
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page = doc[page_num]
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text = page.get_text("text") # 获取文本内容
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if text:
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cleaned_text = clean_page_content(text, common_header)
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print(cleaned_text)
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print("-----------------" + str(page_num))
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# result += cleaned_text
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else:
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print(f"Page {page_num + 1} is empty or text could not be extracted.")
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return result
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def extract_text_by_page(file_path):
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common_header = extract_common_header(file_path)
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# print(common_header)
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result = ""
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with open(file_path, 'rb') as file:
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reader = PyPDF2.PdfReader(file)
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num_pages = len(reader.pages)
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# print(f"Total pages: {num_pages}")
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for page_num in range(num_pages):
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page = reader.pages[page_num]
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text = page.extract_text()
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if text:
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# print(text)
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cleaned_text = clean_page_content(text,common_header)
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print(cleaned_text)
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print("-----------------"+str(page_num))
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# result += cleaned_text
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# print(f"Page {page_num + 1} Content:\n{cleaned_text}")
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else:
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print(f"Page {page_num + 1} is empty or text could not be extracted.")
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return result
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def save_extracted_text_to_txt(pdf_path, txt_path):
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"""
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调用 extract_text_by_page 函数提取PDF文本，并将其保存到指定的TXT文件中。
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:param pdf_path: 输入的PDF文件路径
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:param txt_path: 输出的TXT文件路径
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"""
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try:
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# 提取文本内容
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extracted_text = extract_text_by_page(pdf_path)
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# 将提取的文本写入TXT文件
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with open(txt_path, 'w', encoding='utf-8') as txt_file:
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txt_file.write(extracted_text)
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print(f"文本已成功提取并保存到 {txt_path}")
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except FileNotFoundError:
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print(f"文件未找到: {pdf_path}")
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except Exception as e:
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print(f"发生错误: {e}")
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# import fitz # PyMuPDF
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# import re
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#
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#
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# def clean_page_content(text, common_header):
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# if common_header:
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# for header_line in common_header.split('\n'):
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# if header_line.strip():
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# text = re.sub(r'^' + re.escape(header_line.strip()) + r'\n?', '', text, count=1)
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#
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# text = re.sub(r'^\s*\d+\s*(?=\D)', '', text)
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# text = re.sub(r'\s+\d+\s*$', '', text)
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# text = re.sub(r'\s*\/\s*\d+\s*', '', text)
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#
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# return text
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#
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#
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# def extract_common_header(pdf_path):
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# doc = fitz.open(pdf_path)
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# headers = []
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# total_pages = len(doc)
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#
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# if total_pages == 2:
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# pages_to_read = 2
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# start_page = 0
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# else:
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# pages_to_read = 3
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# middle_page = total_pages // 2
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# start_page = max(0, middle_page - 1)
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#
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# for i in range(start_page, min(start_page + pages_to_read, total_pages)):
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# page = doc[i]
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# text = page.get_text()
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# if text:
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# first_lines = text.strip().split('\n')[:3]
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# headers.append(first_lines)
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#
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# doc.close()
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#
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# if len(headers) < 2:
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# return ""
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#
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# common_headers = []
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# for lines in zip(*headers):
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# common_line = set(lines[0].split()).intersection(*[set(line.split()) for line in lines[1:]])
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# if common_line:
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# common_headers.append(' '.join(common_line))
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#
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# return '\n'.join(common_headers)
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#
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#
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# def extract_text_by_page(file_path):
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# common_header = extract_common_header(file_path)
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# result = ""
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# doc = fitz.open(file_path)
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# num_pages = len(doc)
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#
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# for page_num in range(num_pages):
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# page = doc[page_num]
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# text = page.get_text()
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# if text:
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# cleaned_text = clean_page_content(text, common_header)
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# print(cleaned_text)
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# result += cleaned_text
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# else:
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# print(f"Page {page_num + 1} is empty or text could not be extracted.")
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#
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# doc.close()
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# return result
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if __name__ == '__main__':
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# file_path='D:\\flask_project\\flask_app\\static\\output\\output1\\648e094b-e677-47ce-9073-09e0c82af210\\ztbfile_tobidders_notice_part2.pdf'
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pdf_path=r'C:\Users\Administrator\Downloads\（完全没有解析进度）1_南网超高压公司2024年第四批服务公开招标项目（2024-FW-4-S-ZB2） (1).pdf'
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# pdf_path=r"C:\Users\Administrator\Desktop\货物标\output2\广水市妇幼招标文件最新（W改）_evaluation_method.pdf"
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# file_path = 'C:\\Users\\Administrator\\Desktop\\货物标\\截取test\\交警支队机动车查验监管系统项目采购_tobidders_notice_part1.pdf'
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# file_path = "C:\\Users\\Administrator\\Desktop\\招标文件\\招标test文件夹\\zbtest8.pdf"
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# file_path="C:\\Users\\Administrator\\Desktop\\fsdownload\\45f650ce-e519-457b-9ad6-5840e2ede539\\ztbfile_procurement.pdf"
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# ress = extract_common_header(pdf_path)
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# print(ress)
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# print("-----------------")
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res=extract_text_by_page_fitz(pdf_path)
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# print(res)磋商文件_tobidders_notice_part2.pdf
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# save_extracted_text_to_txt(file_path,"output.txt")
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