如何使用json数据格式化csv文件？

Question

我有一个json文件，我需要转换为csv文件，但我有点担心信任json-to-csv转换器网站，因为输出的数据似乎不正确...所以我希望能够得到一些帮助在这里！

我有以下的JSON文件结构：

{ 
    "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" 
     }        
     ] 
    } 
    ] 
} 

我觉得我看到的是，该转换器似乎无法领悟许多嵌套数据值的问题。我认为转换器错误的原因是因为当我尝试使用它们转换回json时，我没有收到相同的结构。

有谁知道如何手动将此json格式化为csv格式，还是知道可以处理嵌套值的可靠转换器？

Answer 1

尝试

www.json-buddy.com/convert-json-csv-xml.htm

如果不是为你工作，那么你可以试试这个工具

http://download.cnet.com/JSON-to-CSV/3000-2383_4-76680683.html

应该会有所帮助！

Answer 2

我已经试过你的JSON在本作网址：

http://www.convertcsv.com/json-to-csv.htm

结果： UnitNumber，数据源，ContractNumber，CarNumber，ControllerTypeMessageId，NumberOfLandings，CreatedBy，CommissionModeMessageId，细节/ 0/DetailName， TestUnit13，Test1，TestContract13,2,4,4，user1,2，TestFloor13,5,1，user1

因为它可以保存密钥的路径，如li中的'DeviceTypeMessageId' st'UnitDevices'：它会用'UnitDevices/0/DeviceTypeMessageId'命名列名，这可以避免同名错误，所以你可以通过它的转换器规则得到列名。

希望有帮助。

Answer 3

下面是使用jq

溶液如果文件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含有（补充说明额外的样品）

{ 
    "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" 
    } 
    ] 
} 

则命令

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"