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...所以我希望在这里得到一些帮助!
我有以下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"
}
]
}
]
}
我认为我看到的问题是转换器似乎无法理解许多嵌套数据值。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。
是否有人知道如何手动将此json格式化为csv格式,或者知道可靠的转换器而不是可以处理嵌套值?
答案 0 :(得分:0)
尝试
www.json-buddy.com/convert-json-csv-xml.htm
如果不适合你,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!
答案 1 :(得分:0)
我已尝试过你的json for url:
http://www.convertcsv.com/json-to-csv.htm
结果: UnitNumber,数据源,ContractNumber,CarNumber,ControllerTypeMessageId,NumberOfLandings,CreatedBy,CommissionModeMessageId,详情/ 0 / DetailName,详情/ 0 / DetailNumber,UnitDevices / 0 / DeviceTypeMessageId,UnitDevices / 0 / CreatedBy TestUnit13,工厂,TestContract13,2,4,4,user1,2,TestFloor13,5,1,用户1
因为它可以保存密钥的路径,比如列表'UnitDevices'中的'DeviceTypeMessageId':它将使用'UnitDevices / 0 / DeviceTypeMessageId'命名列名,这可以避免同名错误,所以你可以通过转换器规则获取列名称。
希望有所帮助。
答案 2 :(得分:0)
以下是使用jq
的解决方案如果文件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(注意添加了额外的样本)
{
"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"
}
]
}
然后命令
jq -M -r -f filter.jq data.json
将产生
"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"