如何从层次结构

时间:2018-06-10 00:13:37

标签: python django data-structures

我有一些UserInvites,其中邀请包含fromto用户属性。

,例如,

UserInvite1.from = User1
UserInvite1.to = User2

UserInvite1b.from = User1
UserInvite1b.to = User4

UserInvite2.from = User2
UserInvite2.to = User3

UserInvite3.from = User2
UserInvite3.to = User5

因此,User1邀请了User2和User4; User2邀请了User3和User5。

鉴于这些邀请的列表,例如[UserInvite1, UserInvite2, ... ]或其他迭代方法(?),如何生成表示这些邀请的“分层”(嵌套)列表邀请?

例如,从“root”User1开始,我想要一个嵌套列表:

>>> make_nest_list_from_invites([invites])
[User1, [User2, [User3, User5], User4]]

如果您熟悉Django,我正试图从我的“邀请”中获取可以提供给Django模板标签unordered_list

的层次结构。

显然,这就像树遍历,但此刻我很难过。我尝试了一些递归的东西,但最终还是在一些可以放弃东西的地方进行了额外的嵌套。

更新:我尝试过的事情的例子

def tree_from_here(user):
    children = get_children(user)
    if children:
        return [user, [tree_from_here(c) for c in children]]
    else:
        return user

给出了:

>>> tree_from_here(User1)
[<User: 1>, [[<User: 2>, [<User: 3>, <User: 5>]], <User: 4>]]

对于我当前的用户组来说几乎是正确的,除了,嵌套在第二个元素中过深。

我正在努力:

[<User: 1>, [<User: 2>, [<User: 3>, <User: 5>], <User: 4>]]

我觉得它正在盯着我,但我不知道如何在此刻回归正确的事情。

1 个答案:

答案 0 :(得分:1)

我很难理解你对嵌套结构的这种重新定位的想法,但经过大量的思考和编写代码后我相信我理解,所以我想这就是你所追求的 - 代码中的描述和在线演示:https://repl.it/repls/EarlyWeeklyThings - 这是一个很好的挑战,thx:)

from pprint import pprint

# dummy user class
class User(object):
  def __init__(self, user_id):
    self.user_id = user_id
  def __repr__(self):
    return "User{}".format(self.user_id)

# dummy invite class 
class UserInvite(object):
  def __init__(self, from_user, to_user):
    self.from_user = from_user
    self.to_user = to_user
  def __repr__(self):
    return "From {} to {}".format(self.from_user, self.to_user)

# create 10 dummy users to create invites
users = [User(user_id) for user_id in range(1,11)]

# use natural numbers to reflect invites
# adjust in list comprehension
invite_map = (
  (1, 3), (1, 5), 
  (2, 4), (2, 6),
  (3, 7), (3, 8),
  (4, 9),
  (9, 10)
)

# create invitations based on the invite_map, fix natural numbers
example_invites = [
  UserInvite(users[inviter-1], users[invitee-1]) for inviter, invitee in invite_map
]

pprint(example_invites)
# =>
# [From User1 to User3,
#  From User1 to User5,
#  From User2 to User4,
#  From User2 to User6,
#  From User3 to User7,
#  From User3 to User8,
#  From User4 to User9,
#  From User9 to User10]

def get_nested_invites(invites, invited_by=None):
  result = []
  if not invited_by:
    # Assume that initial inviters were not invited by anyone
    # Use set comprehensions to avoid duplicates and for performance
    invitees = {invite.to_user for invite in invites}
    inviters = {invite.from_user for invite in invites if invite.from_user not in invitees}
  else:
    # Get the next potential inviters given their inviter
    # Use set comprehension to avoid duplicates and for performance
    inviters = {invite.to_user for invite in invites if invite.from_user == invited_by}
  for inviter in inviters:
    # Add the invited user/potential inviter 
    result.append(inviter)
    # Let's get nesty
    invitees = get_nested_invites(invites, inviter)
    if invitees:
      result.append(invitees)
  return result

pprint(get_nested_invites(example_invites))
# =>
# [User1,
#  [User3, [User7, User8], User5],
#  User2,
#  [User6, User4, [User9, [User10]]]]

pprint(get_nested_invites(example_invites, users[1]))
# =>
# [User6, User4, [User9, [User10]]]