如何使用压缩多个数据集来构建python中的复杂数据结构

Question

我有一个来自json响应的3个数据集，并且必须从我的端部合并和重构它们。 3个数据集的密钥和长度相同。

dev.json

   [  
       {  
          "result":{  
             "duration":0.0,
             "status":"passed"
          }
       },
        {  
          "result":{  
             "duration":0.0,
             "status":"passed"
          }
       }
    ]

qa.json

   [  
       {  
          "result":{  
             "duration":0.0,
             "status":"passed"
          }
       },
        {  
          "result":{  
             "duration":0.0,
             "status":"passed"
          }
       }
    ]

prod.json

   [  
       {  
          "result":{  
             "duration":0.0,
             "status":"failed"
          }
       },
        {  
          "result":{  
             "duration":0.0,
             "status":"failed"
          }
       }
    ]

我想将它们重组为以下格式：

[  
   {  
      "result":{  
         "qa":"passed",
         "dev":"passed",
         "prod":"failed"
      }
   },
   {  
      "result":{  
         "qa":"passed",
         "dev":"passed",
         "prod":"failed"
      }
   }
]

到目前为止我做了什么：

with open('qa.json') as data_file:    
    qa = json.load(data_file)

with open('dev.json') as data_file:    
    dev = json.load(data_file)

with open('prod.json') as data_file:    
    prod= json.load(data_file)

#I'm not good with python but this is what i've gotten so far and obviously incorrect
json_list = [dict(list(x[0].items()) + list(x[1].items() + list(x[3].items())) for x in zip(qa,dev,prod)]

来自javascript背景，我正试图找出如何遍历列表对象并分配新密钥