order:对数据进行大写字母排序展示给前端

from xpinyin import Pinyin
pin = Pinyin()
from collections import OrderedDict


def deal_conversion(tags):
    """
    将标签中的值得中文名处理为拼音，英文名不变
    :param tags: 
    :return: 
    """
    _tags = []
    for tag in tags:
        value = tag.get("value")
        pinyin_value = pin.get_pinyin(value)
        tag['conversion'] = pinyin_value
        _tags.append(tag)

    return _tags


def sorted_by_conversion(tags):
    """
    基本按照拼音排序
    :param tags: 
    :return: 
    """
    tags = sorted(tags, key=lambda tag: tag['conversion'])
    return tags


def sort_by_capital(new_tags):
    """
    归类
    tag_list = [
    {"class": 'A', 'tags': []},
    {"class": 'B', 'tags': []},
    ]
    :param 
    :return: 
    """

    # print("new_tags:", new_tags)

    A = []
    B = []
    C = []
    D = []
    E = []
    F = []
    G = []
    J = []
    H = []
    I = []
    J = []
    K = []
    L = []
    M = []
    N = []
    O = []
    P = []
    Q = []
    R = []
    S = []
    T = []
    U = []
    V = []
    W = []
    X = []
    Y = []
    Z = []
    other = []
    capital_list = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N',
                    'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']

    # 将标签依次放到相应列表
    for tag in new_tags:
        conversion = tag.get("conversion")
        if conversion:
            start = conversion.upper()[0]
            if start in capital_list:
                local_dict = locals()
                capital_single = local_dict.get(start)
                capital_single.append(tag)
            else:
                other.append(tag)

    # 构造聚合类的列表
    class_list = []
    for capital in capital_list:
        class_dict = {}
        class_dict["class"] = capital
        local_dict = locals()
        capital_single_list = local_dict.get(capital)
        if len(capital_single_list) > 0:
            class_dict["tags"] = capital_single_list
            class_list.append(class_dict)

        # 如果大写字母的列表是空的，就不用返回了
        # else:
        #     class_dict["tags"] = []
        # class_list.append(class_dict)

    # 根据聚合类的大写字母排序
    tag_list = sorted(class_list, key=lambda item: item['class'])
    # 去重
    b = OrderedDict()
    for item in tag_list:
        b.setdefault(item['class'], {**item, })
    tag_list = list(b.values())

    # 将非字母的数字和特殊符号单独放置在class: #中，放到聚类末尾
    class_other = {}
    class_other["class"] = "#"
    if len(other) > 0:
        class_other["tags"] = other
        tag_list.append(class_other)

    # 给所有的聚类列表伪造一个"全部"头
    header = {
        "class": "",
        "tags": [
            {
                "id": "100000000000000000000003",
                "value": "全部"
            }
        ]
    }

    tag_list.insert(0, header)
    return tag_list


if __name__ == '__main__':
    tags = [
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "brand",
        "value" : "3.1 Phillip Lim",
        "_type" : "brand"
    },
    {
        "_id": "5c810376dd40ba638423c623",
        "key": "star",
        "value": "贾静雯",
        "_type": "star"
    },
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "brand",
        "value" : "A Détacher",
        "_type" : "brand"
    },
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "brand",
        "value" : "Z Peace Treaty",
        "_type" : "brand"
    },
    {
        "_id": "5c810376dd40ba638423c623",
        "key": "123 ",
        "value": "#@$",
        "_type": "brand"
    },
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "brand",
        "value" : "Spark",
        "_type" : "brand"
    },
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "star",
        "value" : "陈奕迅",
        "_type" : "star"
    },
    {
        "_id": "5c810376dd40ba638423c623",
        "key": "star",
        "value": "林青霞",
        "_type": "star"
    },
    {
        "_id" : "5c810376dd40ba638423c623",
        "key" : "brand",
        "value" : "Hello",
        "_type" : "brand"
    },
    {
        "_id": "5c810376dd40ba638423c623",
        "key": "123 ",
        "value": "Hello",
        "_type": "brand"
    },

]

    # 将中文名转换成拼音，英文的不变
    tags = deal_conversion(tags)
    # print(tags)

    # 根据转换值排序，即特殊字符-数字-英文26字母大写-英文26字母小写排序
    tags = sorted_by_conversion(tags)
    # print(tags)

    # 根据大写字母分别放到相应大写字母的列表，数字和特殊字符安置在其他，然后聚类
    tags = sort_by_capital(tags)
    print(tags)



# 结果
# [{
# 	'class': '',
# 	'tags': [{
# 		'id': '100000000000000000000003',
# 		'value': '全部'
# 	}]
# }, {
# 	'class': 'A',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'brand',
# 		'value': 'A Détacher',
# 		'_type': 'brand',
# 		'conversion': 'A Détacher'
# 	}]
# }, {
# 	'class': 'C',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'star',
# 		'value': '陈奕迅',
# 		'_type': 'star',
# 		'conversion': 'chen-yi-xun'
# 	}]
# }, {
# 	'class': 'H',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'brand',
# 		'value': 'Hello',
# 		'_type': 'brand',
# 		'conversion': 'Hello'
# 	}, {
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': '123 ',
# 		'value': 'Hello',
# 		'_type': 'brand',
# 		'conversion': 'Hello'
# 	}]
# }, {
# 	'class': 'J',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'star',
# 		'value': '贾静雯',
# 		'_type': 'star',
# 		'conversion': 'jia-jing-wen'
# 	}]
# }, {
# 	'class': 'L',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'star',
# 		'value': '林青霞',
# 		'_type': 'star',
# 		'conversion': 'lin-qing-xia'
# 	}]
# }, {
# 	'class': 'S',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'brand',
# 		'value': 'Spark',
# 		'_type': 'brand',
# 		'conversion': 'Spark'
# 	}]
# }, {
# 	'class': 'Z',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'brand',
# 		'value': 'Z Peace Treaty',
# 		'_type': 'brand',
# 		'conversion': 'Z Peace Treaty'
# 	}]
# }, {
# 	'class': '#',
# 	'tags': [{
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': '123 ',
# 		'value': '#@$',
# 		'_type': 'brand',
# 		'conversion': '#@$'
# 	}, {
# 		'_id': '5c810376dd40ba638423c623',
# 		'key': 'brand',
# 		'value': '3.1 Phillip Lim',
# 		'_type': 'brand',
# 		'conversion': '3.1 Phillip Lim'
# 	}]
# }]