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合并嵌套級別的JSON

2021-10-13 17:13:10 .NET開發

這種型別的幾個 JSON 必須合并。

我想結合Cto C，DtoD等等；以及內部鍵：a1, b1& c1。

JSON1：

{
  "A": 1,
  "B": "b_value",
  "C": {
    "a1": "true",
    "b1": [
      "b1_1",
      "b1_2"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "300",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "500",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "501",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "D": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "601",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "701",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "E": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "F": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "G": "LE",
  "H": {
    "primaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
        {
          "c1_1": "100",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "101",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "200",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "201",
          "c1_2": "SA",
          "c1_3": "TF"
        }
      ]
    },
    "secondaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
      ]
    }
  },
  "I": "false",
  "J": {
    "a1": "false",
    "b1": [
      "HBI",
      "HST",
      "HFT"
    ],
    "c1": [
      {
        "c1_1": "201",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "false"
      }
    ]
  },
  "K": [
    {
      "k1": "k1_value",
      "k2": "k2_value",
      "k3": "k3_value",
      "k4": "k4_value",
      "k5": "k5_value"
    }
  ]
}

JSON2：

{
  "A": 1,
  "B": "b_value",
  "C": {
    "a1": "true",
    "b1": [
      "b1_1",
      "b1_2",
      "b1_3"
    ],
    "c1": [
      {
        "c1_1": "1000",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "1010",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "2000",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "300",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "true"
      }
    ]
  },
  "D": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "601",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "701",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "E": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "F": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "G": "LE",
  "H": {
    "primaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
        {
          "c1_1": "100",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "101",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "200",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "201",
          "c1_2": "SA",
          "c1_3": "TF"
        }
      ]
    },
    "secondaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
      ]
    }
  },
  "I": "false",
  "J": {
    "a1": "false",
    "b1": [
      "HBI",
      "HST",
      "HFT"
    ],
    "c1": [
      {
        "c1_1": "201",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "false"
      }
    ]
  },
  "K": [
    {
      "k1": "k1_value",
      "k2": "k2_value",
      "k3": "k3_value",
      "k4": "k4_value",
      "k5": "k5_value"
    }
  ]
}

預期輸出：

{
  "A": 1,
  "B": "b_value",
  "C": {
    "a1": "true",
    "b1": [
      "b1_1",
      "b1_2",
      "b1_3"
    ],
    "c1": [
      {
        "c1_1": "1000",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "1010",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "2000",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "300",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "500",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "501",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "D": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "301",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "601",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "701",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SO",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "E": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "400",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "500",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "600",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "700",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "F": {
    "a1": "true",
    "b1": [
      "HBI",
      "HST"
    ],
    "c1": [
      {
        "c1_1": "100",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "101",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "200",
        "c1_2": "SF",
        "c1_3": "true"
      },
      {
        "c1_1": "201",
        "c1_2": "SF",
        "c1_3": "false"
      },
      {
        "c1_1": "200",
        "c1_2": "SO",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "c1_3": "true"
      }
    ]
  },
  "G": "LE",
  "H": {
    "primaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
        {
          "c1_1": "100",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "101",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "200",
          "c1_2": "SA",
          "c1_3": "TF"
        },
        {
          "c1_1": "201",
          "c1_2": "SA",
          "c1_3": "TF"
        }
      ]
    },
    "secondaryMethod": {
      "a1": "TF",
      "b1": [
        "HBI",
        "HST"
      ],
      "c1": [
      ]
    }
  },
  "I": "false",
  "J": {
    "a1": "false",
    "b1": [
      "HBI",
      "HST",
      "HFT"
    ],
    "c1": [
      {
        "c1_1": "201",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "true"
      },
      {
        "c1_1": "*",
        "c1_2": "SA",
        "feeType": "FA",
        "c1_3": "false"
      }
    ]
  },
  "K": [
    {
      "k1": "k1_value",
      "k2": "k2_value",
      "k3": "k3_value",
      "k4": "k4_value",
      "k5": "k5_value"
    }
  ]
}

我試過代碼：

for i_data in [data1, data2]:
    with open(i_data) as data_json:
        data = json.load(data_json)

    for key, value in data.items():
        if key not in new_dict:
            if isinstance(value, int):
                new_dict[key] = value
            if isinstance(value, str):
                new_dict[key] = value
            if isinstance(value, list):
                new_dict[key] = list()
            if isinstance(value, dict):
                new_dict[key] = dict()
        if key in new_dict:
            if isinstance(value, list):
                new_dict[key]  = value
            if isinstance(value, dict):
                dict1 = new_dict[key]
                for key1, value1 in value.items():
                    if key1 not in dict1:
                        if isinstance(value1, str):
                            dict1[key1] = value1
                        if isinstance(value1, list):
                            dict1[key1] = list()
                    if key1 in dict1:
                        if isinstance(value1, list):
                            dict1[key1]  = value1
                new_dict[key] = dict1

with open((base_path   'g_json.json'), 'w') as op_file:
    json.dump(new_dict, op_file, indent=2)

uj5u.com熱心網友回復：

您可以嘗試使用庫合并嵌套級別的 JSON

uj5u.com熱心網友回復：

這會起作用嗎？data1=json1 的dict 形式和data2=json2 的dict 形式

for key, val in data2.items():
    if key in data1:
        data2.update({key: data1[key]})
    
print (data2)

轉載請註明出處，本文鏈接：https://www.uj5u.com/net/311128.html

標籤：Python json

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    uj5u.com 2020-09-09 22:15:18 more
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