在MongoDB文档上遍历时，字典值映射不正确

Question

我正在计算以下类型的MongoDB文档中相似值的数量。

{
   "_id" : ObjectId("5b7fa2a745d12b10324d3a01"),
   "date_time" : "24, Aug 2018 11:44",
   "original_query" : "sanjeevnewar",
   "posts" : [ 
       {
        "full_story" : "https://m.facebook.com//story.php?story_fbid=10156903788391742&id=590746741&refid=17",
        "love" : {
            "total" : "1",
            "reactors" : [ 
                {
                    "profile" : "https://m.facebook.com//amrit2100",
                    "name" : "Amrit Kumar Deb",
                    "fb_id" : "100002204201460"
                }
            ]
        },
        "like" : {
            "total" : "65",
            "reactors" : [ 
                {
                    "profile" : "https://m.facebook.com//profile.php?id=100026633915502",
                    "name" : "Kamlesh Yadav",
                    "fb_id" : "100026633915502"
                },
              }
          ]
       },

这对应于针对不同fb_id的多个条目。

我的实现是-

  result = db.post.find()
  list_of_reactor_ids = []

我已经使用Counter来累积更新值

  dict_of_reactor_ids = Counter()
  sorted_dict_of_reactor_ids = {}
  okey={}
  for doc in result:
      for post in doc['posts']:
          if 'like' in post:
              value = 1

我将相应的fb_id附加其值，然后对其进行排序

         for reactor in post['like']['reactors']:
            dict_of_reactor_ids.update({reactor['fb_id']: value})

         sorted_dict_of_reactor_ids = sorted(dict_of_reactor_ids.items(),
                                    key=lambda dict_of_reactor_ids: dict_of_reactor_ids[1], reverse=True)

         if 'fb_id' in doc:
    okey.update({doc['fb_id']: sorted_dict_of_reactor_ids})
pprint.pprint(okey)

我正在获取输出，但是键值对并不对应于实际的键值对，有些是实际的，而有些来自其他键值条目，例如以下输出中的第二个值实际上对应于其他键，但是出现在第一个条目中。 我得到的输出摘录-

     {'100000107208292': [('100013453489456', 16),
                 ('100009112778707', 14),
                 ('100011123838353', 14),
     '100000990054613': [('100013633776676', 7),
                 ('100010228383344', 7),
                 ('100010068034206', 7),
                 ('100013210631871', 6),
                 ('100014734173448', 5),
                 ('100011640376115', 4)
              ]
            }