基于可迭代数据生成一维字典

def get_path(data, value, flag=True):
    """
    :param data: 被查找的数据
    :param value: 要查的数据
    :param flag: False:模糊查找,True:精确查找
    :return:
    """
    dt = gen_dict(data)
    paths = []
    for k, v in dt.items():
        if not isinstance(v, str) or not isinstance(v, str) or flag:
            if v == value:
                paths.append(k)
        else:
            if value in v:
                paths.append(k)
    return paths


def gen_dict(data):
    dt = dict()
    if data:
        if isinstance(data, dict):
            for key, value in data.items():
                if isinstance(value, dict) or isinstance(value, tuple) or isinstance(value, list):
                    nt = gen_dict(value)
                    for k, v in nt.items():
                        dt[f"{key}.{k}"] = v
                else:
                    dt[key] = value
        elif isinstance(data, tuple) or isinstance(data, list):
            for i, value in enumerate(data):
                if isinstance(value, dict) or isinstance(value, tuple) or isinstance(value, list):
                    nt = gen_dict(value)
                    for k, v in nt.items():
                        dt[f"{i}.{k}"] = v
                else:
                    dt[i] = value
        else:
            dt["unknown"] = data
    return dt


data = {
    "s": "5",
    "t": ["5", "3", "5", {"name": "5"}]
}
print(gen_dict(data))
print(get_path(data, "5"))