Below is the example to form a JSON Object based on the key and values available in the JSON dataset
Input Data with singleline json
{
"id":123,
"name":"sample",
"lastname":"dataset",
"attributes":[
{
"attributename":"item",
"attributevalue":"27",
"attribute_code":12234
},
{
"attributename":"item2",
"attributevalue":"47",
"attribute_code":12334
},
{
"attributename":"item1",
"attributevalue":"37",
"attribute_code":13234
}]}
Below is the pycode ops
When we want to run a script for the data which is flowing. In this case the data will be stored in pycode_data variable, so use this variable for making changes in data using your script.
Responsedata=[]
new_data = pycode_data['attributes']
datalines = {}
for attribute in new_data:
datalines[attribute["attributename"]] = attribute["attributevalue"]
pycode_data["datalines"] = datalines
In the above example we can see that we are running a script to make changes in the existing data so we are using pycode_data variable.
Output data after applying Python Pycode
{
"id": 123,
"name": "sample",
"lastname": "dataset",
"attributes":[
{
"attributename": "item",
"attributevalue": "27",
"attribute_code": 12234
},
{
"attributename": "item2",
"attribute_code": 12334
},
{
"attributename": "item1",
"attributevalue": "37",
"attribute_code": 13234
}],
"datalines":{
"item": "27",
"item2": "47",
"item1": "37"}
}
