190 lines
9.4 KiB
Python
190 lines
9.4 KiB
Python
import ast
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import json
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import os
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import re
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from PyPDF2 import PdfWriter, PdfReader
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from flask_app.main.通义千问long import upload_file, qianwen_long
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def extract_and_format_from_paths(json_paths, includes, excludes):
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"""
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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。
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参数:
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json_paths (list): 包含多个 JSON 文件路径的列表。
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includes (list): 包含要检查的关键词的列表。
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excludes (list): 包含要排除的关键词的列表。
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返回:
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list: 包含所有文件中满足条件的格式化字符串列表。
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"""
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all_formatted_results = []
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# 遍历每个文件路径
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for path in json_paths:
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try:
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with open(path, 'r', encoding='utf-8') as file:
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# 加载 JSON 数据
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json_data = json.load(file)
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formatted_results = []
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# 遍历 JSON 数据的每个键值对
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for key, value in json_data.items():
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if isinstance(value, dict):
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# 如果值是字典，检查嵌套字典的每个键值对
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for sub_key, sub_value in value.items():
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if any(include in sub_key for include in includes):
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# 如果子值包含关键词，格式化并添加到结果列表
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formatted_results.append(f"{sub_value}")
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elif isinstance(value, str): # clause
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# 检查是否包含任何 include 关键词
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for include in includes:
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if include in value:
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# 找到 include 之前的内容
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prefix = value.split(include)[0]
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# 检查 prefix 是否不包含任何 exclude 关键词
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if not any(exclude in prefix for exclude in excludes):
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# 如果不包含任何 exclude 关键词，添加整个 value 到结果列表
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if '\n' in value:
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value = value.split('\n', 1)[-1]
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formatted_results.append(value)
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break # 找到一个符合条件的就跳出循环
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# 将当前文件的结果添加到总结果列表
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all_formatted_results.extend(formatted_results)
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except FileNotFoundError:
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print(f"禁止投标情形: Error: The file '{path}' does not exist.")
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except json.JSONDecodeError:
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print(f"禁止投标情形: Error: The file '{path}' contains invalid JSON.")
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return all_formatted_results
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def extract_unique_items_from_texts(texts):
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# 更新正则表达式以包括更广泛的序号类型，包括中文序号
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pattern = re.compile(r'(?:\d+\.|\（\d+\）|\(\d+\)|\d+\)|\①|\②|\③|\④|\⑤|\⑥|\⑦|\⑧|\⑨|\⑩|\⑪|\⑫)\s*')
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intro_pattern = re.compile(r'^.*?[:：]')
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punctuation_pattern = re.compile(r'[；。，、．.,:;!?！？]+$')
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url_pattern = re.compile(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')
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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
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all_results = []
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seen = set()
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for text in texts:
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# 去除文本中的制表符和换行符
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text = text.replace('\t', '').replace('\n', '')
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# 删除引导性的文本（直到冒号，但保留冒号后的内容）
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text = intro_pattern.sub('', text)
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# 替换URL为占位符，并保存URL以便后续还原
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urls = []
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def url_replacer(match):
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urls.append(match.group(0))
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return f"{{URL{len(urls)}}}"
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text = url_pattern.sub(url_replacer, text)
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# 使用数字和括号的模式分割文本
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items = pattern.split(text)
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for item in items:
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cleaned_item = item.strip()
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if cleaned_item:
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# 进一步清理每个条目
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cleaned_item = pattern.sub('', cleaned_item)
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cleaned_item = punctuation_pattern.sub('', cleaned_item)
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cleaned_item = cleaned_item.strip()
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# 还原URL
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for i, url in enumerate(urls, 1):
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cleaned_item = cleaned_item.replace(f"{{URL{i}}}", url)
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# 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
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if cleaned_item and cleaned_item not in seen and len(cleaned_item) > 3 and content_check_pattern.search(cleaned_item):
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seen.add(cleaned_item)
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all_results.append(cleaned_item)
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return all_results
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def merge_pdfs(paths, output_filename):
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pdf_writer = PdfWriter()
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output_path = None
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for path in paths:
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pdf_reader = PdfReader(path)
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for page in range(len(pdf_reader.pages)):
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# 将每页添加到写入对象中
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pdf_writer.add_page(pdf_reader.pages[page])
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if output_path is None:
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# 确定输出文件路径
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output_path = os.path.join(os.path.dirname(path), output_filename)
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# 写入合并的PDF到文件
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if output_path:
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with open(output_path, 'wb') as out:
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pdf_writer.write(out)
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print(f"禁止投标情形: Merged PDF saved to {output_path}")
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else:
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print("禁止投标情形: No files to merge.")
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return output_path
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def process_string_list(string_list):
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# 使用正则表达式匹配方括号内的内容
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match = re.search(r'\[(.*?)\]', string_list)
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if match:
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# 获取匹配的内容，即方括号内的部分
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content_inside_brackets = match.group(1)
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if content_inside_brackets: # 检查内容是否为空
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# 检查内容是否是数字列表
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if all(item.strip().isdigit() for item in content_inside_brackets.split(',')):
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# 如果是数字，不用加引号，直接保留数字
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formatted_list = '[' + ', '.join(item.strip() for item in content_inside_brackets.split(',') if item.strip()) + ']'
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else:
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# 如果不全是数字，按字符串处理
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formatted_list = '[' + ', '.join(f"'{item.strip()}'" for item in content_inside_brackets.split(',') if item.strip()) + ']'
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else:
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return [] # 直接返回空列表如果内容为空
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# 使用 ast.literal_eval 来解析格式化后的字符串
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try:
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actual_list = ast.literal_eval(formatted_list)
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return actual_list
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except SyntaxError as e:
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print(f"禁止投标情形: Error parsing list: {e}")
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return []
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else:
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# 如果没有匹配到内容，返回空列表
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return []
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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
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# output_filename="merged.pdf"
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# paths=[truncate1,truncate4]
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# 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。
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if truncate3:
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file_id=upload_file(truncate3)
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# 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'。"
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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[]。"
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qianwen_forbidden_str = qianwen_long(file_id, user_query_forbidden)
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else:
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qianwen_forbidden_str="[]"
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actual_list=process_string_list(qianwen_forbidden_str) #提取出字符串列表 ["xxx","xx"]
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includes = ["不得存在", "不得与", "禁止投标", "对投标人的纪律"]
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excludes = ["招标", "评标", "定标"]
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forbidden_results = extract_and_format_from_paths([truncate_json_path, clause_path], includes,excludes)
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print(forbidden_results)
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processed_results = extract_unique_items_from_texts(forbidden_results)
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# print(processed_results)
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merged_forbidden_list = list(dict.fromkeys(actual_list + processed_results))
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forbidden_dict={'不得存在的其他情形':merged_forbidden_list}
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return forbidden_dict
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#TODO:不得存在的情况文中有很多内容,货物标中采用了全文搜索的逻辑。
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if __name__ == '__main__':
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truncate_json_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\truncate_output.json"
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clause_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\clause1.json"
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truncate3 = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\ztbfile_qualification.pdf"
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output_dir = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f"
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doc_path = 'C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\ztbfile.docx'
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res = find_forbidden(truncate_json_path, clause_path, truncate3)
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print(json.dumps(res, ensure_ascii=False, indent=4)) |