#!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@Version: 1.0
@Python Version:3.6.6
@Author: ludq1
@Email: ludq1@chinaunicom.cn
@date: 2023/04/07 11:40:00
@Description:
"""

import json

from .my_stringutils import MyStringUtils


class StructureUtils:
    r'''
    结构变换便捷类
    '''
    DEFAULT_KEYNAME_ID = "id"
    DEFAULT_KEYNAME_PARENTID = "parentid"
    DEFAULT_KEYNAME_ISTOPNODE = "isTopNode"
    DEFAULT_KEYNAME_CHILDRENMAP = "childrenMap"
    DEFAULT_KEYNAME_CHILDREN = "children"
    DEFAULT_KEYNAME_SUBLIST = "sublist"
    DEFAULT_KEYNAME_NODELEVEL = "nodelevel"
    DEFAULT_KEYNAME_DESCENTDANTS = "descentdants"
    DEFAULT_KEYNAME_ANCESTORS = "ancestors"
    DEFAULT_KEYNAME_LEFTID = "leftId"
    DEFAULT_KEYNAME_RIGHTID = "rightId"

    @classmethod
    def transfer_dict_to_list(cls, a_dict: dict) -> list:
        r'''
        将 map 转换回 list<map>
        例如
        {
            "1":{ "id":1 },
            "2":{ "id":2 },
            "3":{ "id":3 }
        }
        经过转换后为
        [
            {"id":1 },
            {"id":2 },
            {"id":3 }
        ]
        Args:
            a_dict:

        Returns:

        '''
        if not a_dict:
            return []
        if not isinstance(a_dict, dict):
            raise ValueError("a_dict不是字典")

        return [x for x in a_dict.values()]

    @classmethod
    def transfer_list_to_dict(cls, a_list: list, id_key: str = DEFAULT_KEYNAME_ID,
                              parentid_key: str = DEFAULT_KEYNAME_PARENTID,
                              topnode_parent_value: str = MyStringUtils.EMPTY,
                              append_childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP) -> dict:
        r'''

        将 list<map> 转换为 以 id 为key,map为内容的map,<br/>
        list中的map中的内容为 id,parentid的结构,<br/>
        或只有id的结构(此时parentid_key参数传值为空字符串) <br/>
        生成后在原有的map中增加 children key, 其对应一个map,包含各child id对应的map <br/>
        parentid有值且不是 topNodeParentValue 时, 不会出现 topNodeParentValue 对应的map, 即这样的node也算作是顶级节点 <br/>
        生成后在原有的map中增加 isTopNode key, 表示该节点是否是顶级节点

        例如:
            [
                {"id":1,"parentid":None},
                {"id":2,"parentid":222},
                {"id":3,"parentid":1},
                {"id":4,"parentid":2}
            ]
        经过转换后为
            {
                "1":{
                  "id":1,
                  "parentid":None,
                  "isTopNode":1,
                  "childrenMap":{
                     "3":{"id":3,"parentid":1,"isTopNode":0}
                   }
                },
                "2":{
                    "id":2,
                    "parentid":222,
                    "isTopNode":1,
                    "childrenMap":{
                      "4":{"id":4,"parentid":2,"isTopNode":0}
                     }
                },
                "3":{"id":3,"parentid":1,"isTopNode":0},
                "4":{"id":4,"parentid":2,"isTopNode":0}
           }
        Args:
            a_list:
            id_key:
            parentid_key:
            topnode_parent_value:
            append_childrenmap_keyname:

        Returns:

        '''
        if not a_list:
            return {}

        if not isinstance(a_list, (list, tuple)):
            raise ValueError("a_list不是list或tuple")

        result = {}
        id_key = cls._get_id_keyname(id_key)
        parentid_key = cls._get_parentid_keyname(parentid_key)
        topnode_parent_value = cls._get_topnode_parent_value(topnode_parent_value)
        append_childrenmap_keyname = cls._get_childrenmap_keyname(append_childrenmap_keyname)
        istopnode_keyname = cls._get_istopnode_keyname(None)

        all_id_list = cls._gen_all_id_values(a_list)

        # 遍历 a_list
        for tmp_dict in a_list:
            tmp_dict: dict
            # 取出 id 的值
            id_value = tmp_dict.get(id_key)
            if id_value is None:
                raise ValueError('a_list中的字典中的{}的值不能为空'.format(id_key))

            id_value = MyStringUtils.to_str(id_value)

            # 将自己加入到结果map中
            # 取出 id对应的map
            self_map_in_result: dict = result.get(id_value)
            if self_map_in_result is not None:
                # 如果map中有自身, 说明之前有的map已经将其设置为自己的children了, 将children键取出, 放入tmpMap中
                tmp_dict[append_childrenmap_keyname] = self_map_in_result.get(append_childrenmap_keyname)

            # 将id对应的map设置为自身
            result[id_value] = tmp_dict

            if not MyStringUtils.is_empty(parentid_key):
                # 如果parentIdKeyName为空字符串,表示不需要处理parentId
                # 判断条件不为空, 表示需要处理 parentId
                # 取出parentid, 默认为空字符串, null等同于空字符串
                parentid_val = MyStringUtils.to_str(tmp_dict.get(parentid_key))

                # 将自己加入到parentId对应的map中的childrenMap中
                if not (MyStringUtils.equals(topnode_parent_value, parentid_val) or MyStringUtils.is_empty(
                        parentid_val) or not parentid_val in all_id_list):
                    # 如果 parentId是空字符串或parentId的值是预设的顶级节点的parentId的值, 或者list中不包含 其父节点parentId,
                    # 说明该节点是顶级节点
                    # 否则 说明该节点不是顶级节点, 需要设置自己是谁的子节点
                    # 设置自身是否是顶级节点的属性
                    tmp_dict[istopnode_keyname] = 0

                    parent_dict_in_result: dict = result.get(parentid_val)

                    if parent_dict_in_result is None:
                        parent_dict_in_result = {}
                        result[parentid_val] = parent_dict_in_result

                    # 从 parent_dict_in_result 中取出childrenMap
                    childrenmap_in_parent: dict = parent_dict_in_result.get(append_childrenmap_keyname)
                    if childrenmap_in_parent is None:
                        childrenmap_in_parent = {}
                        parent_dict_in_result[append_childrenmap_keyname] = childrenmap_in_parent

                        childrenmap_in_parent[id_value] = tmp_dict

                else:
                    tmp_dict[istopnode_keyname] = 1

        return result

    @classmethod
    def transfer_list_to_dict_simple(cls, a_list: list, id_key: str = DEFAULT_KEYNAME_ID) -> dict:
        r'''

        将 list<map> 转换为 以 id 为key,map为内容的map,<br/>
        例如:
            [
	           {"id":1, },
	           {"id":2  },
	          {"id":3  }
	        ]
	   经过转换后为
           {
                "1":{ "id":1 },
                "2":{ "id":2 },
                "3":{ "id":3 }
           }

        Args:
            a_list:
            id_key:
        Returns:

        '''
        return cls.transfer_list_to_dict(a_list=a_list, id_key=id_key, parentid_key=MyStringUtils.EMPTY)

    @classmethod
    def gen_topnode_list(cls, a_dict: dict, istopnode_keyname: str = DEFAULT_KEYNAME_ISTOPNODE) -> list:
        r'''
        将 以 id 为key,map为内容的map,
        map中的内容中包括 isTopNode key表示该map是否是顶级节点,以此提取所有的顶级节点的 id值的列表

        例如
               {
                "1":{
                  "id":1,
                  "parentid":None,
                  "isTopNode":1,
                  "childrenMap":{
                     "3":{"id":3,"parentid":1,"isTopNode":0}
                   }
                },
                "2":{
                    "id":2,
                    "parentid":222,
                    "isTopNode":1,
                    "childrenMap":{
                      "4":{"id":4,"parentid":2,"isTopNode":0}
                     }
                },
                "3":{"id":3,"parentid":1,"isTopNode":0},
                "4":{"id":4,"parentid":2,"isTopNode":0}
               }
        提取值为:
            ["1","2"]

        Args:
            a_dict:
            istopnode_keyname:

        Returns:

        '''
        if not a_dict:
            return []

        if not isinstance(a_dict, dict):
            raise ValueError('a_dict 不是 dict')

        result = []

        for tmp_k, tmp_v in a_dict.items():
            tmp_id = MyStringUtils.to_str(tmp_k)
            tmp_dict: dict = tmp_v
            if cls._is_topnode(tmp_dict, istopnode_keyname):
                result.append(tmp_id)

        return result

    @classmethod
    def gen_dict_only_contains_top_node(cls, a_dict: dict, istopnode_keyname: str = DEFAULT_KEYNAME_ISTOPNODE) -> dict:
        r'''
        将 以 id 为key,map为内容的map,<br/>
        map中的内容中包括 isTopNode key表示该map是否是顶级节点,以此构建一个新的map,<br/>
        例如
           {
            "1":{
              "id":1,
              "parentid":None,
              "isTopNode":1,
              "childrenMap":{
                 "3":{"id":3,"parentid":1,"isTopNode":0}
               }
            },
            "2":{
                "id":2,
                "parentid":222,
                "isTopNode":1,
                "childrenMap":{
                  "4":{"id":4,"parentid":2,"isTopNode":0}
                 }
            },
            "3":{"id":3,"parentid":1,"isTopNode":0},
            "4":{"id":4,"parentid":2,"isTopNode":0}
           }

        经过转换后为
            {
            "1":{
              "id":1,
              "parentid":None,
              "isTopNode":1,
              "childrenMap":{
                 "3":{"id":3,"parentid":1,"isTopNode":0}
               }
            },
            "2":{
                "id":2,
                "parentid":222,
                "isTopNode":1,
                "childrenMap":{
                  "4":{"id":4,"parentid":2,"isTopNode":0}
                 }
            }
           }

        Args:
            a_dict:
            istopnode_keyname:

        Returns:

        '''
        if not a_dict:
            return {}

        if not isinstance(a_dict, dict):
            raise ValueError('a_dict 不是 dict')

        all_topnode_list = cls.gen_topnode_list(a_dict, istopnode_keyname=istopnode_keyname)

        return {tmp_node: a_dict.get(tmp_node) for tmp_node in all_topnode_list}

    @classmethod
    def transfer_list_to_dict_only_contains_top_node(cls, a_list: list, id_key: str = DEFAULT_KEYNAME_ID,
                                                     parentid_key: str = DEFAULT_KEYNAME_PARENTID,
                                                     topnode_parent_value: str = MyStringUtils.EMPTY,
                                                     append_childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP) -> dict:
        r'''
        将 list 转换为 以 id 为key,map为内容的map,
        list中的map中的内容为 id,parentid的结构,
        或只有id的结构(此时parentIdKeyNameParam参数传值为空字符串)
        生成后在原有的map中增加 children key, 其对应一个map,包含各child id对应的map
        parentid有值且不是 topNodeParentValue 时, 不会出现 topNodeParentValue 对应的map, 即这样的node也算作是顶级节点,
        此函数返回的map中包含顶级节点,非顶级节点只出现在 children key中
         例如
           [
               {"id":1,"parentid":None},
               {"id":2,"parentid":222},
               {"id":3,"parentid":1},
               {"id":4,"parentid":2}
           ]
	    经过转换后为
           {
            "1":{
              "id":1,
              "parentid":None,
              "isTopNode":1,
              "childrenMap":{
                 "3":{"id":3,"parentid":1,"isTopNode":0}
               }
            },
            "2":{
                "id":2,
                "parentid":222,
                "isTopNode":1,
                "childrenMap":{
                  "4":{"id":4,"parentid":2,"isTopNode":0}
                 }
            }
           }


        Args:
            a_list:
            id_key:
            parentid_key:
            topnode_parent_value:
            append_childrenmap_keyname:

        Returns:

        '''

        return cls.gen_dict_only_contains_top_node(
            cls.transfer_list_to_dict(a_list, id_key=id_key, parentid_key=parentid_key,
                                      topnode_parent_value=topnode_parent_value,
                                      append_childrenmap_keyname=append_childrenmap_keyname))

    @classmethod
    def grouplist_bykey(cls, a_list: list, groupby_keyname: str, append_sublist_keyname: str = None) -> list:
        r'''
        将 list 聚合

        例如
           [
            {"userid":1,"deptid":"1"},
            {"userid":2,"deptid":"1"},
            {"userid":3,"deptid":"2"},
            {"userid":4,"deptid":"2"},
           ]
        经过聚合后为(可能包含冗余的key)
           [
            {
                "userid":1,"deptid":"1",
                "sublist":[
                        {"userid":1,"deptid":"1"},
                        {"userid":2,"deptid":"1"}
                ]
            },
            {
                "userid":3,"deptid":"2",
                "sublist":[
                        {"userid":3,"deptid":"2"},
                        {"userid":4,"deptid":"2"}
                ]
            }
           ]

        Args:
            a_list:
            groupby_keyname:
            append_sublist_keyname:

        Returns:

        '''

        if not a_list:
            return []

        if not isinstance(a_list, (list, tuple)):
            raise ValueError("a_list不是list或tuple")

        groupby_keyname = MyStringUtils.to_str(groupby_keyname)

        if MyStringUtils.is_empty(groupby_keyname):
            raise ValueError("groupByKeyName不能为空")

        append_sublist_keyname = cls._get_sublist_keyname(append_sublist_keyname)

        result_dict = {}

        for tmp_dict in a_list:
            tmp_dict: dict
            # 取出groupByKeyName对应的值
            tmp_value_for_groupby_key = tmp_dict.get(groupby_keyname)
            if tmp_value_for_groupby_key is None:
                raise ValueError('{}对应的值不能为空'.format(groupby_keyname))
            tmp_value_for_groupby_key = MyStringUtils.to_str(tmp_value_for_groupby_key)

            # 将自己加入到结果map中
            #  取出 tmpValue对应的map
            self_map_in_result = result_dict.get(tmp_value_for_groupby_key)
            if self_map_in_result is None:
                # 如果resultMap 还没有 tmpValue对应的key,说明还没有将自己加入到resultMap中
                self_map_in_result = tmp_dict.copy()
                result_dict[tmp_value_for_groupby_key] = self_map_in_result

            # 取出 selfMapInResult中的sublist对应的list
            tmp_sublist = self_map_in_result.get(append_sublist_keyname)
            if tmp_sublist is None:
                tmp_sublist = []
                self_map_in_result[append_sublist_keyname] = tmp_sublist

            # 将自身加入到 sublist中去
            tmp_sublist.append(tmp_dict)

        return cls.transfer_dict_to_list(result_dict)

    @classmethod
    def add_childrenlist_to_dict(cls, hierarchy_dict: dict, append_childrenlist_keyname: str = DEFAULT_KEYNAME_CHILDREN,
                                 childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP) -> None:
        r'''
        在具有层次结构的map 中增加children

        例如
            {
             "id":1,
             "parentid":None,
             "childrenMap":{
                "3":{"id":3,"parentid":1}
              }
            }
        经过转换后为
            {
             "id":1,
             "parentid":None,
             "childrenMap":{
                "3":{"id":3,"parentid":1}
              }.
             "children":[
               {"id":3,"parentid":1  }
             ]
            }


        Args:
            hierarchy_dict:
            append_childrenlist_keyname:
            childrenmap_keyname:

        Returns:

        '''
        if not hierarchy_dict:
            return

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)
        append_childrenlist_keyname = cls._get_childrenlist_keyname(append_childrenlist_keyname)

        # 从map中取出childrenMap
        children_dict: dict = hierarchy_dict.get(childrenmap_keyname)
        if not children_dict:
            return
        else:
            # 否则遍历所有的children递归调用
            children_list = []
            for tmp_v in children_dict.values():
                tmp_hierarchy_dict = tmp_v
                children_list.append(tmp_hierarchy_dict)
                cls.add_childrenlist_to_dict(tmp_hierarchy_dict,
                                             append_childrenlist_keyname=append_childrenlist_keyname,
                                             childrenmap_keyname=childrenmap_keyname)

            hierarchy_dict[append_childrenlist_keyname] = children_list
            return

    @classmethod
    def add_nodelevel_to_dict(cls, hierarchy_dict: dict, append_nodelevel_keyname: str = DEFAULT_KEYNAME_NODELEVEL,
                              childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP, initial_level: int = 0) -> None:
        r'''
        在具有层次结构的map 中增加nodelevel

             {
              "id":1,
              "parentid":None,
              "childrenMap":{
                 "3":{"id":3,"parentid":1}
               }
             }
	    经过转换后为
             {
              "id":1,
              "parentid":None,
              "nodelevel":0,
              "childrenMap":{
                "3":{"id":3,"parentid":1,"nodelevel":1}
               }
             }



        Args:
            hierarchy_dict:
            append_nodelevel_keyname:
            childrenmap_keyname:
            initial_level:

        Returns:

        '''
        if not hierarchy_dict:
            return

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)
        append_nodelevel_keyname = cls._get_nodelevel_keyname(append_nodelevel_keyname)

        # 在第一级map中增加初始level
        hierarchy_dict[append_nodelevel_keyname] = initial_level

        # 从map中取出childrenMap
        children_dict: dict = hierarchy_dict.get(childrenmap_keyname)
        if not children_dict:
            return
        else:
            # 否则遍历所有的children递归调用
            for tmp_v in children_dict.values():
                tmp_hierarchy_dict = tmp_v
                cls.add_nodelevel_to_dict(tmp_hierarchy_dict, append_nodelevel_keyname=append_nodelevel_keyname,
                                          childrenmap_keyname=childrenmap_keyname, initial_level=initial_level + 1)

            return

    @classmethod
    def add_descentdants_to_dict(cls, hierarchy_dict: dict,
                                 append_descentdants_keyname: str = DEFAULT_KEYNAME_DESCENTDANTS,
                                 childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                                 id_key: str = DEFAULT_KEYNAME_ID) -> None:
        r'''
        在具有层次结构的map 中增加 descentdants list

         例如
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                    "3":{"id":3,"parentid":1}
                  }
                }
              经过转换后为
                {
                 "id":1,
                 "parentid":None,
                 "descentdants":["3"],
                 "childrenMap":{
                   "3":{"id":3,"parentid":1}
                  }
                }

        Args:
            hierarchy_dict:
            append_descentdants_keyname:
            childrenmap_keyname:
            id_key:

        Returns:

        '''
        return cls._add_descentdants_to_dict_imp(hierarchy_dict=hierarchy_dict,
                                                 append_descentdants_keyname=append_descentdants_keyname,
                                                 childrenmap_keyname=childrenmap_keyname, id_key=id_key,
                                                 to_append_descendants=None)

    @classmethod
    def _add_descentdants_to_dict_imp(cls, hierarchy_dict: dict,
                                      append_descentdants_keyname: str = DEFAULT_KEYNAME_DESCENTDANTS,
                                      childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                                      id_key: str = DEFAULT_KEYNAME_ID, to_append_descendants: list = None) -> None:
        r'''
        在具有层次结构的map 中增加 descentdants list

         例如
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                    "3":{"id":3,"parentid":1}
                  }
                }
              经过转换后为
                {
                 "id":1,
                 "parentid":None,
                 "descentdants":["3"],
                 "childrenMap":{
                   "3":{"id":3,"parentid":1}
                  }
                }

        Args:
            hierarchy_dict:
            append_descentdants_keyname:
            childrenmap_keyname:
            id_key:
            to_append_descendants:

        Returns:

        '''

        if not hierarchy_dict:
            return

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)
        append_descentdants_keyname = cls._get_descentdants_keyname(append_descentdants_keyname)
        id_key = cls._get_id_keyname(id_key)

        # 将自己的id追加到 toAppendList 中
        id_val = hierarchy_dict.get(id_key)
        if id_val is None:
            raise ValueError('{}的值不能为空'.format(id_key))

        id_val = MyStringUtils.to_str(id_val)
        if to_append_descendants:
            for tmp_list in to_append_descendants:
                tmp_list: list
                tmp_list.append(id_val)

        # 从map中取出childrenMap
        children_dict: dict = hierarchy_dict.get(childrenmap_keyname)
        if not children_dict:
            return
        else:
            # 否则遍历所有的children递归调用
            descentdant_list = []
            hierarchy_dict[append_descentdants_keyname] = descentdant_list

            to_append_descendants_new = None
            if to_append_descendants:
                to_append_descendants_new = to_append_descendants.copy()
            else:
                to_append_descendants_new = []

            to_append_descendants_new.append(descentdant_list)

            for tmp_v in children_dict.values():
                tmp_hierarchy_dict = tmp_v
                cls._add_descentdants_to_dict_imp(hierarchy_dict=tmp_hierarchy_dict,
                                                  append_descentdants_keyname=append_descentdants_keyname,
                                                  childrenmap_keyname=childrenmap_keyname, id_key=id_key,
                                                  to_append_descendants=to_append_descendants_new)

            return

    @classmethod
    def add_ancestors_to_dict(cls, hierarchy_dict: dict,
                              append_ancestors_keyname: str = DEFAULT_KEYNAME_ANCESTORS,
                              childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                              id_key: str = DEFAULT_KEYNAME_ID) -> None:
        r'''
        在具有层次结构的map 中增加 descentdants list

         例如
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                    "3":{"id":3,"parentid":1}
                  }
                }
              经过转换后为
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                   "3":{"id":3,"parentid":1 , "ancestors":["1"]}
                  }
                }

        Args:
            hierarchy_dict:
            append_ancestors_keyname:
            childrenmap_keyname:
            id_key:

        Returns:

        '''
        return cls._add_ancestors_to_dict_imp(hierarchy_dict=hierarchy_dict,
                                              append_ancestors_keyname=append_ancestors_keyname,
                                              childrenmap_keyname=childrenmap_keyname, id_key=id_key,
                                              to_append_ancestors=None)

    @classmethod
    def _add_ancestors_to_dict_imp(cls, hierarchy_dict: dict,
                                   append_ancestors_keyname: str = DEFAULT_KEYNAME_ANCESTORS,
                                   childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                                   id_key: str = DEFAULT_KEYNAME_ID, to_append_ancestors: list = None) -> None:
        r'''
        在具有层次结构的map 中增加 descentdants list

         例如
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                    "3":{"id":3,"parentid":1}
                  }
                }
              经过转换后为
                {
                 "id":1,
                 "parentid":None,
                 "childrenMap":{
                   "3":{"id":3,"parentid":1 , "ancestors":["1"]}
                  }
                }

        Args:
            hierarchy_dict:
            append_ancestors_keyname:
            childrenmap_keyname:
            id_key:
            to_append_ancestors:

        Returns:

        '''

        if not hierarchy_dict:
            return

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)
        append_ancestors_keyname = cls._get_ancestors_keyname(append_ancestors_keyname)
        id_key = cls._get_id_keyname(id_key)

        # 设置自身的先祖id
        if to_append_ancestors:
            hierarchy_dict[append_ancestors_keyname] = to_append_ancestors

        # 从map中取出childrenMap
        children_dict: dict = hierarchy_dict.get(childrenmap_keyname)
        if not children_dict:
            return
        else:
            # 否则遍历所有的children递归调用
            id_val = hierarchy_dict.get(id_key)
            if id_val is None:
                raise ValueError('{}的值不能为空'.format(id_key))

            id_val = MyStringUtils.to_str(id_val)

            # 生成自己的要让后代追加的先祖id列表
            to_append_ancestors_new = None
            if to_append_ancestors:
                to_append_ancestors_new = to_append_ancestors.copy()
            else:
                to_append_ancestors_new = []

            to_append_ancestors_new.append(id_val)

            for tmp_v in children_dict.values():
                tmp_hierarchy_dict = tmp_v
                cls._add_ancestors_to_dict_imp(hierarchy_dict=tmp_hierarchy_dict,
                                               append_ancestors_keyname=append_ancestors_keyname,
                                               childrenmap_keyname=childrenmap_keyname, id_key=id_key,
                                               to_append_ancestors=to_append_ancestors_new)

            return

    @classmethod
    def add_lrnode_to_dict(cls, hierarchy_dict: dict, append_leftid_keyname: str = DEFAULT_KEYNAME_LEFTID,
                           append_rightid_keyname: str = DEFAULT_KEYNAME_RIGHTID,
                           childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                           initial_leftid_value: int = 0) -> int:
        r'''
        在具有层次结构的map 中增加 leftId,rightId
        返回自身的右节点的值,用于递归
         例如
                 {
                  "id":1,
                  "parentid":None,
                  "childrenMap":{
                     "3":{"id":3,"parentid":1}
                   }
                 }
               经过转换后为
                 {
                  "id":1,
                  "parentid":None,
                  "leftId":0,
                  "rightId":3,
                  "childrenMap":{
                    "3":{"id":3,"parentid":1,"leftId":1,"rightId":2 }
                   }
                 }


        Args:
            hierarchy_dict:
            append_leftid_keyname:
            append_rightid_keyname:
            childrenmap_keyname:
            initial_leftid_value:

        Returns:

        '''

        if initial_leftid_value is None:
            initial_leftid_value = 0

        if not hierarchy_dict:
            return initial_leftid_value - 1

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)
        append_leftid_keyname = cls._get_leftid_keyname(append_leftid_keyname)
        append_rightid_keyname = cls._get_rightid_keyname(append_rightid_keyname)

        # 设置自身的leftId的值
        hierarchy_dict[append_leftid_keyname] = initial_leftid_value

        # 预设返回值为左节点的值 + 1
        ret_val = initial_leftid_value + 1

        children_dict: dict = hierarchy_dict.get(childrenmap_keyname)
        if children_dict:
            # 如果子节点不为空,则遍历所有的children递归调用
            for tmp_v in children_dict.values():
                tmp_hierarchy_dict = tmp_v
                # 每个子节点的初始左节点就是预设的返回值
                # 子节点返回的右节点的值+1就是新的预设的返回值
                ret_val = cls.add_lrnode_to_dict(tmp_hierarchy_dict, append_leftid_keyname=append_leftid_keyname,
                                                 append_rightid_keyname=append_rightid_keyname,
                                                 childrenmap_keyname=childrenmap_keyname,
                                                 initial_leftid_value=ret_val) + 1
        # 将最后的返回值设置为右节点的值
        hierarchy_dict[append_rightid_keyname] = ret_val
        return ret_val

    @classmethod
    def is_leaf_node(cls, a_dict: dict, childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP) -> bool:
        r'''
        判断 tmpMap是否是叶子节点, 根据 a_dict.get(childrenmap_keyname) 是否为空判断
        Args:
            a_dict:
            childrenmap_keyname:

        Returns:

        '''
        if not a_dict:
            return True

        childrenmap_keyname = cls._get_childrenmap_keyname(childrenmap_keyname)

        child_dict = a_dict.get(childrenmap_keyname)
        return child_dict is None or not child_dict

    @classmethod
    def remove_all_childrenmap(cls, a_list: list, childrenmap_keyname: str = DEFAULT_KEYNAME_CHILDRENMAP,
                               childrenlist_keyname: str = DEFAULT_KEYNAME_CHILDREN) -> None:
        r'''
        清理工作,移除所有的childrenMap
         例如
                 [
                    {
                     "id":1,
                     "parentid":None,
                     "childrenMap":{
                         "3":{"id":3,"parentid":1}
                       },
                     "children":[
                       {"id":3,"parentid":1  }
                     ]
                    }
                ]
          经过转换后为
                 [   {
                     "id":1,
                     "parentid":None,
                     "children":[
                       {"id":3,"parentid":1  }
                     ]
                    }
                ]

        Args:
            a_list:
            childrenmap_keyname:
            childrenlist_keyname:

        Returns:

        '''
        if not a_list:
            return

        # 遍历list
        for tmp_dict in a_list:
            tmp_dict: dict
            # 移除map中的 childrenMap
            tmp_dict.pop(cls._get_childrenmap_keyname(childrenmap_keyname), None)
            # 递归移除 list的children
            recursive_list = tmp_dict.get(cls._get_childrenlist_keyname(childrenlist_keyname))
            cls.remove_all_childrenmap(a_list=recursive_list, childrenmap_keyname=childrenmap_keyname,
                                       childrenlist_keyname=childrenlist_keyname)

        return

    @classmethod
    def _is_topnode(cls, a_dict: dict, istopnode_keyname: str = DEFAULT_KEYNAME_ISTOPNODE) -> bool:
        r'''
        判断 tmpMap是否是顶级节点
        Args:
            a_dict:
            istopnode_keyname:

        Returns:

        '''
        istopnode_keyname = cls._get_istopnode_keyname(istopnode_keyname)

        is_top_val = a_dict.get(istopnode_keyname)
        if is_top_val is None:
            raise ValueError("{}不存在,无法判断节点是否是顶级节点".format(istopnode_keyname))

        return MyStringUtils.equals(is_top_val, "1")

    @classmethod
    def _get_str_value_with_default(cls, a_str: str, default: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 defaultValue
        Args:
            a_str:
            default:

        Returns:

        '''
        if MyStringUtils.is_empty(a_str):
            return default
        else:
            return MyStringUtils.to_str(a_str)

    @classmethod
    def _get_id_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 id
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_ID)

    @classmethod
    def _get_parentid_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 parentid
        Args:
            a_str:

        Returns:

        '''

        if a_str is None:
            return cls.DEFAULT_KEYNAME_PARENTID
        else:
            return MyStringUtils.to_str(a_str)

    @classmethod
    def _get_istopnode_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 isTopNode
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_ISTOPNODE)

    @classmethod
    def _get_topnode_parent_value(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 StringUtils.EMPTY
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, MyStringUtils.EMPTY)

    @classmethod
    def _get_childrenmap_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 childrenMap
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_CHILDRENMAP)

    @classmethod
    def _get_childrenlist_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 children
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_CHILDREN)

    @classmethod
    def _get_sublist_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 sublist
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_SUBLIST)

    @classmethod
    def _get_nodelevel_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 nodelevel
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_NODELEVEL)

    @classmethod
    def _get_descentdants_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 descentdants
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_DESCENTDANTS)

    @classmethod
    def _get_ancestors_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 ancestors
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_ANCESTORS)

    @classmethod
    def _get_leftid_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 leftId
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_LEFTID)

    @classmethod
    def _get_rightid_keyname(cls, a_str: str):
        r'''
        如果aString不为None或EMPTY,返回aString,否则返回默认值 rightId
        Args:
            a_str:

        Returns:

        '''
        return cls._get_str_value_with_default(a_str, cls.DEFAULT_KEYNAME_RIGHTID)

    @classmethod
    def _gen_all_id_values(cls, a_list: list, id_key: str = None) -> list:
        r'''
        提取所有的id值列表<br/>
        a_list 的内容应该是下面的这种结构, 每个列表项是一个dict, dict中包含id这个key,且该key对应的value必须不能为空
            [
                {"id":1,"parentid":None},
                {"id":2,"parentid":222},
                {"id":3,"parentid":1},
                {"id":4,"parentid":2}
            ]
        Args:
            a_list:
            id_key:

        Returns:

        '''
        if not a_list:
            return []

        if not isinstance(a_list, (list, tuple)):
            raise ValueError('a_list不是list或tuple')
        id_key = cls._get_id_keyname(id_key)

        result = []
        for tmp_dict in a_list:
            tmp_dict: dict
            tmp_val = tmp_dict.get(id_key)
            if tmp_val is None:
                raise ValueError('a_list中的字典中的{}的值不能为空'.format(id_key))

            result.append(MyStringUtils.to_str(tmp_val))

        return result

    @classmethod
    def do_replace_jsonobj_str(cls, a_dict: dict, keylist: list) -> dict:
        r'''
        替换 a_dict 中的 keylist 对应的jsonObj字符串转换为 dict 对象<br>
        返回自身

        Args:
            a_dict:
            keylist:

        Returns:

        '''
        if not a_dict:
            return a_dict

        if isinstance(keylist, str):
            keylist = (keylist,)

        for tmp_key in keylist:
            # 尝试获取 tmp_ley 对应的值
            tmp_val = a_dict.get(tmp_key)
            if tmp_val is None or isinstance(tmp_val, (list, tuple, dict)):
                continue

            # 将其转成字符串
            tmp_val = MyStringUtils.to_str(tmp_val)
            # 尝试转成 dict 等对象
            try:
                tmp_val = json.loads(tmp_val)
                a_dict[tmp_key] = tmp_val
            except:
                raise ValueError('{}对应的值不是json有效的json字符串'.format(tmp_key))

        return a_dict

    @classmethod
    def do_replace_jsonobj_str_for_list(cls, a_list: list, keylist: list) -> list:
        r'''
        替换 a_list 中的每个列表项中的 keylist 对应的jsonObj字符串转换为 dict 对象<br>
        返回自身

        Args:
            a_list:
            keylist:

        Returns:

        '''
        if not a_list:
            return list

        for tmp_dict in a_list:
            cls.do_replace_jsonobj_str(tmp_dict, keylist=keylist)

        return a_list

    @classmethod
    def do_deduplication(cls, a_list: list, key_for_check_duplicate: str) -> list:
        r'''
        去重复,返回一个新的jsonarray,jsonarray包含的是jsonObject

        Args:
            a_dict:
            key_for_check_duplicate:

        Returns:

        '''
        if not a_list:
            return []

        result = []
        existed_ids = []

        for tmp_dict in a_list:
            tmp_dict: dict
            id_value = MyStringUtils.to_str(tmp_dict.get(key_for_check_duplicate))
            if (not MyStringUtils.is_empty(id_value)) and id_value not in existed_ids:
                result.append(tmp_dict)
                existed_ids.append(id_value)

        return result

    @classmethod
    def do_preserve_key_for_dict(cls, a_dict: dict, keylist: list) -> dict:
        r'''
        去掉jsonobject中多余的key,只保留指定的key
        返回自身

        Args:
            a_dict:
            keylist:

        Returns:

        '''
        if not a_dict:
            return a_dict

        if isinstance(keylist, str):
            keylist = (keylist,)

        filter_keys = list(filter(lambda x: x in keylist, a_dict.keys()))

        if not filter_keys:
            raise ValueError("a_dict中不存在要保留的key")

        to_removed_keys = list(filter(lambda x: x not in filter_keys, a_dict.keys()))
        for tmp_key in to_removed_keys:
            a_dict.pop(tmp_key, None)

        return a_dict

    @classmethod
    def do_preserve_key_for_list(cls, a_list: list, keylist: list) -> list:
        r'''
        替换 a_list 中的每个列表项中的 多余的key,只保留指定的key<br>
        返回自身

        Args:
            a_list:
            keylist:

        Returns:

        '''
        if not a_list:
            return list

        for tmp_dict in a_list:
            cls.do_preserve_key_for_dict(tmp_dict, keylist=keylist)

        return a_list

    @classmethod
    def do_rename_key_for_dict(cls, a_dict: dict, to_rename_kv: dict) -> dict:
        r'''
        重命名jsonobj中的key <br>
        返回自身

        Args:
            a_dict:
            keylist:

        Returns:

        '''
        if not a_dict:
            return a_dict

        if not to_rename_kv:
            return a_dict

        for tmp_k, tmp_v in to_rename_kv.items():
            if tmp_k in a_dict.keys():
                tmp_v_in_dict_for_k = a_dict.pop(tmp_k)
                a_dict[tmp_v] = tmp_v_in_dict_for_k

        return a_dict

    @classmethod
    def do_rename_key_for_list(cls, a_list: list, to_rename_kv: dict) -> list:
        r'''
         a_list 中的每个列表项中的 重命名jsonobj中的key<br>
        返回自身

        Args:
            a_list:
            to_rename_kv:

        Returns:

        '''
        if not a_list:
            return list

        for tmp_dict in a_list:
            cls.do_rename_key_for_dict(tmp_dict, to_rename_kv=to_rename_kv)

        return a_list