zbparse/flask_app/main/投标人须知正文提取指定内容.py

import json
import re


# 定义查找与目标值匹配的键的函数
def find_keys_by_value(target_value, json_data):
    matched_keys = [k for k, v in json_data.items() if v == target_value]
    if not matched_keys:
        matched_keys = [k for k, v in json_data.items() if isinstance(v, str) and v.startswith(target_value)]
    return matched_keys


# 定义查找以特定前缀开始的键的函数
def find_keys_with_prefix(key_prefix, json_data):
    subheadings = [k for k in json_data if k.startswith(key_prefix)]
    return subheadings


# 从文件中读取JSON数据，并提取特定内容
def extract_json(data, target_values):
    results = {}
    for target_value in target_values:
        matched_keys = find_keys_by_value(target_value, data)
        for key in matched_keys:
            key_and_subheadings = find_keys_with_prefix(key, data)
            for subkey in key_and_subheadings:
                if "." in subkey:
                    parent_key = subkey.rsplit('.', 1)[0]
                    top_level_key = parent_key.split('.')[0] + '.'
                    # 特别处理定标相关的顶级键，确保不会重复添加其他键
                    if target_value == "定标" and top_level_key not in results:
                        results[top_level_key] = "定标"
                    # 添加或更新父级键
                    if parent_key not in results:
                        if parent_key in data:
                            results[parent_key] = data[parent_key]
                # 添加当前键
                results[subkey] = data[subkey]
    return results


# 转换结构化的JSON数据
def transform_json(data):
    result = {}
    temp = {0: result}

    for key, value in data.items():
        match = re.match(r'(\d+)(?:\.(\d+))?(?:\.(\d+))?', key)
        if match:
            levels = [int(l) for l in match.groups() if l is not None]
            parent = temp[len(levels) - 1]

            if len(levels) == len(match.groups()):
                if isinstance(parent, list):
                    parent.append(value)
                else:
                    # 对于没有 \n 的情况，使用首个空格分割的词作为键
                    parent[value.split()[0]] = value
            else:
                new_key = value.split()[0]
                if '\n' in value and len(levels) == 2:
                    # 处理换行情况并分割键和值
                    new_key, new_value = value.split('\n', 1)
                    new_key = new_key.strip()
                    new_value = new_value.strip()
                    # 确保父级是字典
                    if isinstance(parent, list):
                        if len(parent) == 0 or not isinstance(parent[-1], dict):
                            parent.append({})
                        parent[-1][new_key] = new_value
                    else:
                        parent[new_key] = new_value
                else:
                    if isinstance(parent, list):
                        if len(parent) == 0 or not isinstance(parent[-1], dict):
                            parent.append({})
                        parent = parent[-1]
                    if new_key not in parent:
                        parent[new_key] = []
                    temp[len(levels)] = parent[new_key]

    # 修改函数以移除只有一个元素的列表和空列表
    def remove_single_item_lists(node):
        if isinstance(node, dict):
            for key in list(node.keys()):
                node[key] = remove_single_item_lists(node[key])
                if isinstance(node[key], list) and not node[key]:
                    node[key] = ""  # 如果列表为空，转换为空字符串
        elif isinstance(node, list) and len(node) == 1:
            return remove_single_item_lists(node[0])
        return node

    return remove_single_item_lists(result)


# 读取JSON数据，提取内容，转换结构，并打印结果
def extract_from_notice(clause_path, type):
    if type == 1:
        target_values = ["投标文件", "投标"]
    elif type == 2:
        target_values = ["开标", "评标", "定标"]
    elif type == 3:
        target_values = ["重新招标、不再招标和终止招标", "重新招标", "不再招标", "终止招标"]
    else:
        raise ValueError("Invalid type specified. Use 1 for '开标, 评标, 定标' or 2 for '投标文件, 投标'.")
    with open(clause_path, 'r', encoding='utf-8') as file:
        data = json.load(file)
        extracted_data = extract_json(data, target_values)  # 读取json
        transformed_data = transform_json(extracted_data)
        return transformed_data


# 假设原始数据文件路径
if __name__ == "__main__":
    file_path = 'clause2.json'
    try:
        res = extract_from_notice(file_path, 3)  # 可以改变此处的 type 参数测试不同的场景
        print(res)
    except ValueError as e:
        print(e)