import ast import json import os import re from PyPDF2 import PdfWriter, PdfReader from flask import g from flask_app.main.通义千问long import upload_file, qianwen_long def extract_and_format_from_paths(json_paths, includes, excludes): """ 从多个 JSON 文件路径读取数据，提取包含特定关键词的内容，并按照格式要求合并。 参数: json_paths (list): 包含多个 JSON 文件路径的列表。 includes (list): 包含要检查的关键词的列表。 excludes (list): 包含要排除的关键词的列表。 返回: list: 包含所有文件中满足条件的格式化字符串列表。 """ all_formatted_results = [] # 遍历每个文件路径 for path in json_paths: try: with open(path, 'r', encoding='utf-8') as file: # 加载 JSON 数据 json_data = json.load(file) formatted_results = [] # 遍历 JSON 数据的每个键值对 for key, value in json_data.items(): if isinstance(value, dict): # 如果值是字典，检查嵌套字典的每个键值对 for sub_key, sub_value in value.items(): if any(include in sub_key for include in includes): # 如果子值包含关键词，格式化并添加到结果列表 formatted_results.append(f"{sub_value}") elif isinstance(value, str): # clause # 检查是否包含任何 include 关键词 for include in includes: if include in value: # 找到 include 之前的内容 prefix = value.split(include)[0] # 检查 prefix 是否不包含任何 exclude 关键词 if not any(exclude in prefix for exclude in excludes): # 如果不包含任何 exclude 关键词，添加整个 value 到结果列表 if '\n' in value: value = value.split('\n', 1)[-1] formatted_results.append(value) break # 找到一个符合条件的就跳出循环 # 将当前文件的结果添加到总结果列表 all_formatted_results.extend(formatted_results) except FileNotFoundError: g.logger.error(f"禁止投标情形: Error: The file '{path}' does not exist.") except json.JSONDecodeError: g.logger.error(f"禁止投标情形: Error: The file '{path}' contains invalid JSON.") return all_formatted_results def extract_unique_items_from_texts(texts): # 更新正则表达式以包括更广泛的序号类型，包括中文序号 pattern = re.compile(r'(?:\d+\.|\（\d+\）|\(\d+\)|\d+\)|\①|\②|\③|\④|\⑤|\⑥|\⑦|\⑧|\⑨|\⑩|\⑪|\⑫)\s*') intro_pattern = re.compile(r'^.*?[:：]') punctuation_pattern = re.compile(r'[；。，、．.,:;!?！？]+$') url_pattern = re.compile(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+') content_check_pattern = re.compile(r'[\u4e00-\u9fa5a-zA-Z0-9]{2,}') # 检查是否含有至少2个连续的字母、数字或汉字 all_results = [] seen = set() for text in texts: # 去除文本中的制表符和换行符 text = text.replace('\t', '').replace('\n', '') # 删除引导性的文本（直到冒号，但保留冒号后的内容） text = intro_pattern.sub('', text) # 替换URL为占位符，并保存URL以便后续还原 urls = [] def url_replacer(match): urls.append(match.group(0)) return f"{{URL{len(urls)}}}" text = url_pattern.sub(url_replacer, text) # 使用数字和括号的模式分割文本 items = pattern.split(text) for item in items: cleaned_item = item.strip() if cleaned_item: # 进一步清理每个条目 cleaned_item = pattern.sub('', cleaned_item) cleaned_item = punctuation_pattern.sub('', cleaned_item) cleaned_item = cleaned_item.strip() # 还原URL for i, url in enumerate(urls, 1): cleaned_item = cleaned_item.replace(f"{{URL{i}}}", url) # 添加未见过的独特条目，确保它包含足够的实质内容并长度大于3个字符 if cleaned_item and cleaned_item not in seen and len(cleaned_item) > 3 and content_check_pattern.search(cleaned_item): seen.add(cleaned_item) all_results.append(cleaned_item) return all_results def merge_pdfs(paths, output_filename): pdf_writer = PdfWriter() output_path = None for path in paths: pdf_reader = PdfReader(path) for page in range(len(pdf_reader.pages)): # 将每页添加到写入对象中 pdf_writer.add_page(pdf_reader.pages[page]) if output_path is None: # 确定输出文件路径 output_path = os.path.join(os.path.dirname(path), output_filename) # 写入合并的PDF到文件 if output_path: with open(output_path, 'wb') as out: pdf_writer.write(out) g.logger.info(f"禁止投标情形: Merged PDF saved to {output_path}") else: g.logger.error("禁止投标情形: No files to merge.") return output_path def process_string_list(string_list): # 使用正则表达式匹配方括号内的内容 match = re.search(r'\[(.*?)\]', string_list) if match: # 获取匹配的内容，即方括号内的部分 content_inside_brackets = match.group(1) if content_inside_brackets: # 检查内容是否为空 # 检查内容是否是数字列表 if all(item.strip().isdigit() for item in content_inside_brackets.split(',')): # 如果是数字，不用加引号，直接保留数字 formatted_list = '[' + ', '.join(item.strip() for item in content_inside_brackets.split(',') if item.strip()) + ']' else: # 如果不全是数字，按字符串处理 formatted_list = '[' + ', '.join(f"'{item.strip()}'" for item in content_inside_brackets.split(',') if item.strip()) + ']' else: return [] # 直接返回空列表如果内容为空 # 使用 ast.literal_eval 来解析格式化后的字符串 try: actual_list = ast.literal_eval(formatted_list) return actual_list except SyntaxError as e: g.logger.error(f"禁止投标情形: Error parsing list: {e}") return [] else: # 如果没有匹配到内容，返回空列表 return [] def find_forbidden(truncate_json_path,clause_path,truncate3): #投标人须知前附表 条款 评分前附表和资格审查表中 # output_filename="merged.pdf" # paths=[truncate1,truncate4] # merged_filepath=merge_pdfs(paths,output_filename) #暂时废弃，评分前附表中的在'否决投标'中摘录了。 if truncate3: file_id=upload_file(truncate3) # user_query_forbidden = "该招标文件规定的投标人不得存在的其他情形有哪些，请按json列表格式给我提供信息，键名为'不得存在的其他情形'，请你不要回答有关\"信誉要求\"的内容,若文件中未说明，请在键值中填'未知'。" user_query_forbidden = "该招标文件规定的投标人不得存在的其他情形有哪些，请以列表给我提供信息，形如[xx,xx,...],请你不要回答有关\"信誉要求\"的内容,若原文未提及，返回[]。" qianwen_forbidden_str = qianwen_long(file_id, user_query_forbidden) else: qianwen_forbidden_str="[]" actual_list=process_string_list(qianwen_forbidden_str) #提取出字符串列表 ["xxx","xx"] includes = ["不得存在", "不得与", "禁止投标", "对投标人的纪律"] excludes = ["招标", "评标", "定标"] forbidden_results = extract_and_format_from_paths([truncate_json_path, clause_path], includes,excludes) processed_results = extract_unique_items_from_texts(forbidden_results) # print(processed_results) merged_forbidden_list = list(dict.fromkeys(actual_list + processed_results)) forbidden_dict={'不得存在的其他情形':merged_forbidden_list} return forbidden_dict #TODO:不得存在的情况文中有很多内容 if __name__ == '__main__': truncate_json_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\796f7bb3-2f7a-4332-b044-9d817a07861e\\truncate_output.json" clause_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\796f7bb3-2f7a-4332-b044-9d817a07861e\\clause1.json" truncate3 = "C:\\Users\\Administrator\\Desktop\\fsdownload\\796f7bb3-2f7a-4332-b044-9d817a07861e\\ztbfile_qualification.pdf" output_dir = "C:\\Users\\Administrator\\Desktop\\fsdownload\\796f7bb3-2f7a-4332-b044-9d817a07861e" doc_path = 'C:\\Users\\Administrator\\Desktop\\fsdownload\\796f7bb3-2f7a-4332-b044-9d817a07861e\\ztbfile.docx' res = find_forbidden(truncate_json_path, clause_path, truncate3) print(json.dumps(res, ensure_ascii=False, indent=4))