如何使用json数据格式化csv文件? [英] How to format a csv file using json data?

问题描述

我有一个需要转换为csv文件的json文件，但是由于输出的数据似乎不正确，因此我有点担心信任json-csv转换站点...所以我希望在这里获得帮助！

I have a json file that I need to convert to a csv file, but I am a little wary of trusting a json-to-csv converter site as the outputted data seems to be incorrect... so I was hoping to get some help here!

我具有以下json文件结构:

I have the following json file structure:

{
    "GroupName": "GrpName13",
    "Number": 3,
    "Notes": "Test Group ",
    "Units": [
    {
        "UnitNumber": "TestUnit13",
        "DataSource": "Factory",
        "ContractNumber": "TestContract13",
        "CarNumber": "2",
        "ControllerTypeMessageId" : 4,
        "NumberOfLandings": 4,
        "CreatedBy": "user1",
        "CommissionModeMessageId": 2,
        "Details": [
        {
            "DetailName": "TestFloor13",
            "DetailNumber": "5"
        }
        ],
        "UnitDevices": [
        {
            "DeviceTypeMessageId": 1,
            "CreatedBy": "user1"
        }                               
        ]
    }
    ]
}

我认为我看到的问题是转换器似乎无法理解许多嵌套的数据值.我认为转换器错误的原因是，当我尝试使用它们转换回json时，我没有收到相同的结构.

The issue I think Im seeing is that the converters seem to not be able to comprehend the many nested data values. And the reason I think the converters are wrong is because when I try to convert back to json using them, I dont receive the same structure.

有人知道如何将json手动格式化为csv格式，还是知道一个可靠的转换器来处理嵌套值?

Does anyone know how to manually format this json into csv format, or know of a reliable converter than can handle nested values?

推荐答案

以下是使用 jq

如果文件filter.jq包含

def denormalize:
  def headers($p):
      keys_unsorted[] as $k
    | if   .[$k]|type == "array" then (.[$k]|first|headers("\($p)\($k)_"))
      else "\($p)\($k)"
      end
  ;
  def setup:
    [
      keys_unsorted[] as $k
    | if   .[$k]|type == "array" then [ .[$k][]| setup ]
      else .[$k]
      end
    ]
  ;
  def iter:
    if length == 0 then []
    elif .[0]|type != "array" then
      [.[0]] + (.[1:] | iter)
    else
        (.[0][] | iter) as $x
      | (.[1:]  | iter) as $y
      | [$x[]] + $y
    end
  ;
  [ headers("") ], (setup | iter)
;

denormalize | @csv

和data.json包含(请注意添加了额外的示例)

and data.json contains (note extra samples added)

{
  "GroupName": "GrpName13",
  "Notes": "Test Group ",
  "Number": 3,
  "Units": [
    {
      "CarNumber": "2",
      "CommissionModeMessageId": 2,
      "ContractNumber": "TestContract13",
      "ControllerTypeMessageId": 4,
      "CreatedBy": "user1",
      "DataSource": "Factory",
      "Details": [
        {
          "DetailName": "TestFloor13",
          "DetailNumber": "5"
        }
      ],
      "NumberOfLandings": 4,
      "UnitDevices": [
        {
          "CreatedBy": "user1",
          "DeviceTypeMessageId": 1
        },
        {
          "CreatedBy": "user10",
          "DeviceTypeMessageId": 10
        }
      ],
      "UnitNumber": "TestUnit13"
    },
    {
      "CarNumber": "99",
      "CommissionModeMessageId": 99,
      "ContractNumber": "Contract99",
      "ControllerTypeMessageId": 99,
      "CreatedBy": "user99",
      "DataSource": "Another Factory",
      "Details": [
        {
          "DetailName": "TestFloor99",
          "DetailNumber": "99"
        }
      ],
      "NumberOfLandings": 99,
      "UnitDevices": [
        {
          "CreatedBy": "user99",
          "DeviceTypeMessageId": 99
        }
      ],
      "UnitNumber": "Unit99"
    }
  ]
}

然后输入命令

jq -M -r -f filter.jq data.json    

会产生

"GroupName","Notes","Number","Units_CarNumber","Units_CommissionModeMessageId","Units_ContractNumber","Units_ControllerTypeMessageId","Units_CreatedBy","Units_DataSource","Units_Details_DetailName","Units_Details_DetailNumber","Units_NumberOfLandings","Units_UnitDevices_CreatedBy","Units_UnitDevices_DeviceTypeMessageId","Units_UnitNumber"
"GrpName13","Test Group ",3,"2",2,"TestContract13",4,"user1","Factory","TestFloor13","5",4,"user1",1,"TestUnit13"
"GrpName13","Test Group ",3,"2",2,"TestContract13",4,"user1","Factory","TestFloor13","5",4,"user10",10,"TestUnit13"
"GrpName13","Test Group ",3,"99",99,"Contract99",99,"user99","Another Factory","TestFloor99","99",99,"user99",99,"Unit99"

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