Jolt-转换为输出数组

Question

我对震动有点陌生，一直在努力进行正确的转变。任何帮助都很感激。这是我的输入数据：

{
  "data": {
    "names": [
      "columnA",
      "columnB",
      "columnC",
      "columnD",
      "columnE",
      "columnF",
      "columnG",
      "columnH",
      "columnI",
      "columnJ",
      "columnK"
    ],
    "ndarray": [
      [
        0,
        1,
        2,
        "aString",
        "bString",
        3,
        4,
        "Text in English (A)",
        "Text in German (A)",
        "Error id A",
        "Error text A"
      ],
      [
        10,
        11,
        12,
        "cString",
        "dString",
        13,
        14,
        "Text in English (B)",
        "Text in German (B)",
        "Error id B",
        "Error text B"
      ]
    ]
  }
}

我的目标是创建一个包含所有条目的数组。对于本例，将有2个条目（长度与data.ndarray)相同。数组data.ndnames（键）和data.ndarray[i]（值）是1：1映射的，即它们应该具有相同的长度。

这是预期的输出：

{
  "result": [
    {
      "columnA": 0,
      "columnG": 4,
      "columnC": 2,
      "columnF": 3,
      "explanation": [
        {
          "text": "Text in English (A)",
          "lang": "EN" // constant value
        },
        {
          "text": "Text in German (A)",
          "lang": "DE" // constant value
        }
      ],
      "columnD": "aString",
      "columnI": "Error id A",
      "columnJ": "Error text A"
    },
    {
      "columnA": 10,
      "columnG": 14,
      "columnC": 12,
      "columnF": 13,
      "explanation": [
        {
          "text": "Text in English (B)",
          "lang": "EN" // constant value
        },
        {
          "text": "Text in German (B)",
          "lang": "DE" // constant value
        }
      ],
      "columnD": "cString",
      "columnI": "Error id B",
      "columnJ": "Error text B"
    }
  ]
}

Answer 1

[编辑]尝试以下规范：

[
  {
    "operation": "shift",
    "spec": {
      "data": {
        "ndarray": {
          "*": {
            "*": {
              "@": "result[&2].@(4,names[&1])"
            }
          }
        }
      }
    }
  },
  {
    "operation": "shift",
    "spec": {
      "result": {
        "*": {
          "columnH": "result[&1].explanation[0].text",
          "#EN": "result[&1].explanation[0].lang",
          "columnI": "result[&1].explanation[1].text",
          "#DE": "result[&1].explanation[1].lang",
          "columnB": null,
          "columnE": null,
          "columnJ": "result[&1].columnI",
          "columnK": "result[&1].columnJ",
          "*": "result[&1].&"
        }
      }
    }
  }
]