152 lines
5.4 KiB
Python
152 lines
5.4 KiB
Python
import PyPDF2
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import re # 导入正则表达式库
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from PyPDF2 import PdfReader
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def clean_page_content(text, common_header):
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# 首先删除抬头公共部分
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if common_header: # 确保有公共抬头才进行替换
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for header_line in common_header.split('\n'):
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if header_line.strip(): # 只处理非空行
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# 替换首次出现的完整行
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text = re.sub(r'^' + re.escape(header_line.strip()) + r'\n?', '', text, count=1)
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# 删除页码 eg:89/129 这个代码分三步走可以把89/129完全删除
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text = re.sub(r'^\s*\d+\s*(?=\D)', '', text) # 删除开头的页码，仅当紧跟非数字字符时
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text = re.sub(r'\s+\d+\s*$', '', text) # 删除结尾的页码
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text = re.sub(r'\s*\/\s*\d+\s*', '', text) # 删除形如 /129 的页码
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return text
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def extract_common_header(pdf_path):
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pdf_document = PdfReader(pdf_path)
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headers = []
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total_pages = len(pdf_document.pages)
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# 确定要读取的页数和起始页
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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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for i in range(start_page, min(start_page + pages_to_read, total_pages)):
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page = pdf_document.pages[i]
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text = page.extract_text() or ""
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if text:
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# 只取每页的前三行
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first_lines = text.strip().split('\n')[:3]
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headers.append(first_lines)
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if len(headers) < 2:
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return "" # 如果没有足够的页来比较，返回空字符串
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# 寻找每一行中的公共部分
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common_headers = []
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for lines in zip(*headers):
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# 在每一行中寻找公共单词
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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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return '\n'.join(common_headers)
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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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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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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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# 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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# 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 = 'C:\\Users\\Administrator\\Desktop\\货物标\\output4\\广水农商行门禁控制主机及基础验证设备采购项目——磋商文件（定稿）（三次）_tobidders_notice_part2.pdf'
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# file_path = 'C:\\Users\\Administrator\\Desktop\\货物标\\output4\\2-招标文件（2020年广水市中小学教师办公电脑系统及多媒体“班班通”设备采购安装项目）_tobidders_notice_part2.pdf'
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# file_path = 'C:\\Users\\Administrator\\Desktop\\货物标\\output4\\磋商文件_tobidders_notice_part2.pdf'
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file_path = 'C:\\Users\\Administrator\\Desktop\\货物标\\output4\\竞争性谈判文件(3)_tobidders_notice_part2.pdf'
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res=extract_text_by_page(file_path)
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# print(res)磋商文件_tobidders_notice_part2.pdf |