2.19 使用脚本额外判断docx文档是否为乱码文件
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@ -25,7 +25,7 @@ def extract_text_by_page_fitz(file_path):
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return result
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def extract_text_by_page(file_path):
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def extract_text_by_page_pypdf2(file_path):
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# common_header=""
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common_header = extract_common_header(file_path)
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# print(common_header)
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@ -109,7 +109,7 @@ def save_extracted_text_to_txt(pdf_path, txt_path):
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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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extracted_text = extract_text_by_page_pypdf2(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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@ -203,7 +203,7 @@ if __name__ == '__main__':
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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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extract_text_by_page(pdf_path)
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extract_text_by_page_pypdf2(pdf_path)
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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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@ -1,9 +1,9 @@
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from flask_app.general.读取文件.按页读取pdf import extract_text_by_page
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from flask_app.general.读取文件.按页读取pdf import extract_text_by_page_pypdf2
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def check_strings_in_pdf(file_path):
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judge_list=['施工机械设备', '企业信息登记']
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# Read text from PDF
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text = extract_text_by_page(file_path) # Assuming this returns all text from the PDF
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text = extract_text_by_page_pypdf2(file_path) # Assuming this returns all text from the PDF
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full_text = ''.join(text).replace('\n', '').replace(' ', '') # Clean up the text
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# Initialize the questions list
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@ -1,7 +1,7 @@
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import time
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from PyPDF2 import PdfReader # 确保已安装 PyPDF2: pip install PyPDF2
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from docx import Document
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import fitz
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from flask_app.general.llm.通义千问long import upload_file, qianwen_long
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def judge_zbfile_exec(file_path):
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@ -12,28 +12,38 @@ def judge_zbfile_exec(file_path):
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start_time = time.time()
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# 检查文件是否为PDF格式
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if file_path.lower().endswith('.pdf'):
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# 使用 with 语句确保文件关闭
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with open(file_path, 'rb') as f:
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reader = PdfReader(f)
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num_pages = len(reader.pages)
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if num_pages <= 5:
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return False
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elif file_path.lower().endswith('.docx'):
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doc = Document(file_path)
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accumulated_text = ""
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chunk_size = 10 # 每次读取10个段落
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paragraphs = doc.paragraphs
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try:
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with open(file_path, 'rb') as f:
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reader = PdfReader(f)
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num_pages = len(reader.pages)
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except Exception:
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try:
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doc = fitz.open(file_path)
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num_pages = len(doc)
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except Exception:
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print("PDF 文件读取失败")
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return False # 两种解析方式都失败,直接返回 False
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for i in range(0, len(paragraphs), chunk_size):
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chunk = paragraphs[i:i + chunk_size]
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for para in chunk:
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accumulated_text += para.text
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# 判断累计字符数是否已经达到1000字,
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if len(accumulated_text) >= 1000:
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break
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# 若累计内容不足1000字,则直接返回False
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if len(accumulated_text) < 1000:
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return False
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if num_pages <= 5:
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return False # 小于等于 5 页的 PDF 直接判定为非招标文件
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elif file_path.lower().endswith('.docx'):
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try:
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doc = Document(file_path)
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accumulated_text = ""
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chunk_size = 10 # 每次读取10个段落
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paragraphs = doc.paragraphs
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for i in range(0, len(paragraphs), chunk_size):
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chunk = paragraphs[i:i + chunk_size]
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for para in chunk:
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accumulated_text += para.text
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if len(accumulated_text) >= 1000:
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break # 读取超过1000字后即可停止
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if len(accumulated_text) < 1000:
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return False # 若累计内容不足1000字,则直接返回 False
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except Exception:
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print("DOCX 文件读取失败,可能为乱码文件")
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return False # 解析失败直接返回 False
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# 使用大模型进行判断
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user_query = """该文件是否属于招标文件?如果是的话,请返回'是',如果不是的话,返回'否'。请不要返回其他解释或内容。
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以下是常见的招标文件类型:
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@ -58,7 +68,7 @@ def judge_zbfile_exec(file_path):
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if __name__ == '__main__':
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start_time = time.time()
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pdf_path = r"C:\Users\Administrator\Downloads\file1739842556194.docx"
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pdf_path = r"C:\Users\Administrator\Desktop\fsdownload\19f53a17-ad4c-43b5-a7ed-981958ec3e0fs\ztbfile.docx"
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res = judge_zbfile_exec(pdf_path)
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if res:
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print("yes")
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