Python:遍历列表时嵌套嵌套循环覆盖整个字典

时间:2019-07-27 14:55:33

标签: python dictionary

目标:

我正在尝试迭代嵌套字典的副本(基于简单的JSON模式),以为代表团队及其成员的Web服务器请求构建单个JSON有效负载。

每个有效负载均来自循环外的字典,其中包含团队作为键,而其用户的ID作为值。

问题:

我能够成功复制源词典并创建包括其第一个成员的团队词典,但是在列表的第二次迭代中添加其他成员时,第一个成员将被覆盖,而不是将第二个成员添加到字典有效负载中

这是我第一次使用嵌套词典,因此任何提示将不胜感激。

# source dictionary

teams_dict = {'Boston':['1234','5678'],
              'Atlanta':['9876','4321']}

# schema to be modified

payload_schema = {"data":
                  {"id":None,"type":"teams","attributes":
                   {"name":None},"relationships":
                   {"members":{"data":[{"id":None,"type":"users"}]}}}}

# loop

for team, members in teams_dict.items():
    team_load = deepcopy(payload_schema)
    team_load['data']['attributes']['name']=team
    #print(f"Now creating team {team}")
    for member in members:
        team_load['data']['relationships']['members']['data'][0]['id']=member
        team_load['data']['relationships']['members']['data'][0]['type']='users'
        print(team_load)
        #print(f"Added user id {member} to payload")

由于第一个成员被覆盖,我最终得到的有效载荷仅包含第二个成员:

print(team_load)

{{'data': {'id': None, 'type': 'teams', 'attributes': {'name': 'Atlanta'}, 'relationships': {'members': {'data': [{'id': '4321', 'type': 'users'}]}}}}

理想情况下,它看起来像这样:

print(team_load)

{'data': {'id': None, 'type': 'teams', 'attributes': {'name':'Atlanta'}, 'relationships': {'members': {'data': [{'id': '9876','type': 'users'},{'id': '4321','type': 'users'}]}}}}

1 个答案:

答案 0 :(得分:1)

问题是您总是使用以下命令来写入索引0:

team_load['data']['relationships']['members']['data'][0]['id']=member
team_load['data']['relationships']['members']['data'][0]['type']='users'

这是一个列表:

team_load['data']['relationships']['members']['data']

,因此您每次都需要附加到它。

由于您正在处理嵌套对象,因此我将使成员信息成为另一个对象,并将其从有效载荷架构中删除:

payload_schema = {"data":
              {"id":None,"type":"teams","attributes":
               {"name":None},"relationships":
               {"members":{"data":[]}}}}
member_schema = {"id":None,"type":"users"}

然后进入内循环:

for member in members:
    member_load = deepcopy(member_schema)

    member_load['id']=member

    team_load['data']['relationships']['members']['data'].append(member_load)
    print(team_load)

您无需将类型设置为“用户”,因为已经在架构中进行了设置,但是您可以根据需要将其设置为其他值。

希望这会有所帮助!