import json import re def load_json(file_path): """ 加载JSON文件,并统一其中的括号为全角括号。 """ with open(file_path, 'r', encoding='utf-8') as f: data = json.load(f) #字典 return standardize_brackets_in_json(data) def standardize_brackets_in_json(data): """ 递归地处理JSON数据,将所有文本中的半角括号转换为全角括号。 """ if isinstance(data, dict): return {k: standardize_brackets_in_json(v) for k, v in data.items()} elif isinstance(data, list): return [standardize_brackets_in_json(element) for element in data] elif isinstance(data, str): return standardize_brackets(data) else: return data def convert_dict_to_str(d): if isinstance(d, dict): return "\n".join(f"{k}: {v}" for k, v in d.items()) return str(d) def extarct_normal(json_data, value, combined_value): found_subentries = check_and_collect_subentries(json_data, value, combined_value) if not found_subentries: #若无子条目,直接查找 content = json_data.get(value, "") #从一个字典 json_data 中获取与键名 value 相关联的值,默认值为"" if content: combined_value.append(get_values_only(content)) return True return found_subentries #用于查找和处理由主条目派生的子条目 eg:如果 value 是 "1.1",它将查找所有像 "1.1.1", "1.1.2" 等以 "1.1." 开头的键,不会匹配仅为 "1.1" 的键。 def check_and_collect_subentries(json_data, value, combined_value): found_subentries = False subentry_index = 1 for subkey in json_data: if subkey.startswith(value + "."): content = json_data[subkey] combined_value.append(f"{subentry_index}. {get_values_only(content)}") subentry_index += 1 found_subentries = True return found_subentries #针对于有子序号()的情况 def extract_specific_subentry(content, subentry_key): """ 提取指定的子条目文本,考虑全角和半角括号。 """ subentry_index = subentry_key.replace("(", "").replace(")", "") try: idx = int(subentry_index) bracket_pattern = f"({idx})" parts = content.split(bracket_pattern) if len(parts) > 1: next_bracket_pattern = f"({idx+1})" next_part = parts[1].split(next_bracket_pattern, 1)[0] return next_part.strip() except ValueError: return "" return "" def extract_content_after_special_chars(content): if not content: return content """ 提取特定符号后的内容,直到遇到结束符号或内容末尾。 """ # 定义搜索特殊字符的正则表达式 pattern = r'[\x01\x02☑√团]([^□]*)' match = re.search(pattern, content) if match: # 如果找到匹配,返回从特殊字符之后到下一个□或到内容末尾的部分 return match.group(1).strip() # 去除多余空白字符 # 如果没有找到特殊字符,返回原始内容 return content def get_values_only(content): if isinstance(content, dict): # 如果内容是字典,首先将字典的值转换为字符串 content = " / ".join(content.values()) # 检查并处理特殊字符 return extract_content_after_special_chars(content) def standardize_brackets(value): """ 将输入中的所有半角括号转换为全角括号。 """ return value.replace('(', '(').replace(')', ')') def process_json_with_subentries(json_data, value, combined_value): """ 处理JSON数据,寻找指定的条目,考虑全角和半角括号。 """ value = standardize_brackets(value) #将1.11(1)->1.11(1) if "(" in value and ")" in value: #存在()的情况 first_content=get_values_only(json_data.get(value)) if first_content: combined_value.append(first_content) return True base_key, subentry_key = value.split("(") #base_key:1.11 subentry_key:(1) subentry_key = "(" + subentry_key content = json_data.get(base_key.strip()) if content: if isinstance(content, str): extracted_content = extract_specific_subentry(content, subentry_key) if extracted_content: combined_value.append(extracted_content) return True else: return False else: return extarct_normal(json_data, value, combined_value) def find_entries_in_jsons(entries, json_primary, json_secondary): results = {} for entry in entries: key, value = next(iter(entry.items())) combined_value = [] # 先尝试在json_primary中寻找,如果找不到再在json_secondary中查找 found_in_primary = process_json_with_subentries(json_primary, value, combined_value) if not found_in_primary: process_json_with_subentries(json_secondary, value, combined_value) if combined_value: results[key] = "\n".join(combined_value) return results def process_and_merge_entries(entries_with_numbers, primary_json_path, secondary_json_path): primary_json_data = load_json(primary_json_path) secondary_json_data = load_json(secondary_json_path) combined_results = find_entries_in_jsons(entries_with_numbers, primary_json_data, secondary_json_data) return combined_results def process_and_merge2(entries_with_numbers,json_path): json_data=load_json(json_path) combined_results=find_entries_in_jsons(entries_with_numbers,json_data,{}) return combined_results #3.4.1 投标保证金,提取截止有问题。 if __name__ == "__main__": # Hypothetical entries and file paths for testing # entries_with_numbers = [{'形式评审标准.投标文件签字盖章': '3.7.3(3)'}, {'形式评审标准.多标段投标': '10.1'}, {'形式评审标准.“技术暗标”': '3.7.4(5)'}, {'响应性评审标准.投标内容': '1.3.1'}, {'响应性评审标准.工期': '1.3.2'}, {'响应性评审标准.工程质量': '1.3.3'}, {'响应性评审标准.投标有效期': '3.3.1'}, {'响应性评审标准.投标保证金': '3.4.1'}, {'响应性评审标准.分包计划': '1.11'}] entries_with_numbers=[{'xxx': '4.2.3'}] primary_json_path = 'C:\\Users\\Administrator\\Desktop\\招标文件\\招标test文件夹\\truncate_output.json' secondary_json_path = 'C:\\Users\\Administrator\\Desktop\\招标文件\\招标test文件夹\\clause.json' # Since this is just a test block, make sure these paths point to actual JSON files with the appropriate structure try: combined_results = process_and_merge_entries(entries_with_numbers, primary_json_path, secondary_json_path) print("Combined Results:", json.dumps(combined_results, indent=4, ensure_ascii=False)) except FileNotFoundError: print("One or more JSON files were not found. Please check the file paths.") except json.JSONDecodeError: print("One or more files could not be decoded. Please check the file content.")