I'm working with Flutterwave API and i just don't know what type of Json is this, because this is my first time working with Json and i want to get the value of "data" to Json map or Object
Thanks
{
"data": {
"response_code": "02",
"response_message": "Transaction in progress",
"flw_ref": "MockFLWRef-1676466720721",
"order_ref": "URF_1676466720564_5499435",
"account_number": "0067100155",
"account_status": "active",
"frequency": 1,
"bank_name": "Mock Bank",
"created_at": 1676466720721,
"expiry_date": 1676466720721,
"note": "Mock note",
"amount": "NaN"
},
"message": "Virtual account created",
"status": "success"
}
I want to get "data" value from the Json object to Json map
Related
I want to extract the key value generated from response, is there's a way to simulate using JSON Path extractor?
Sample Response:
{
"data": {
"1637042070532561": {
"symbol": "BAUa",
"side": "buy",
"quantity": "1",
"limitPrice": "2145",
"instrumentId": 4,
"created": "1637042070533",
"orderStatus": "rejected",
"type": "limit",
"executions": {
},
"decimals": 2,
"commission": "0",
"currency": "EUR",
"averagePrice": "0",
"id": "1637042070532561",
"filledStatus": "unfilled",
"filledPercent": "0.00",
"filledQty": "0"
}
},
"action": "set-orders",
"type": "orders",
"status": "OK",
"timestamp": "2021-11-16T05:54:30.536Z"
}
Expected Result: 1637042070532561
Go for JSON JMESPath Extractor, it provides keys function allowing querying JSON attribute names, in your case the query would be something like:
keys(data)
Demo:
More information: The JMeter JSON JMESPath Extractor and Assertion: A Guide
I have a custom external adapter runnning on a chainlink node. When the adapter is triggered, it gets a response from an api that sends back a json object with a list of objects. I want to covert the array in this json object into a solidity mapping for my smart contract.
For example could I get the property "array of objects" from this response and convert it into a solidity mapping for my client contract to use?
"random": 89,
"random float": 10.669,
"bool": true,
"date": "1980-11-24",
"regEx": "helloooooooooooooooooooooo to you",
"enum": "json",
"firstname": "Stevana",
"lastname": "Killigrew",
"city": "Port Moresby",
"country": "Isle of Man",
"countryCode": "PY",
"email uses current data": "Stevana.Killigrew#gmail.com",
"email from expression": "Stevana.Killigrew#yopmail.com",
"array": [
"Vanessa",
"Chloris",
"Glynnis",
"Fidelia",
"Kaja"
],
"array of objects": [
{
"index": 0,
"index start at 5": 5,
"team": "na",
"company": "CVS",
"department": "hair and beauty"
},
{
"index": 1,
"index start at 5": 6,
"team": "na",
"company": "CVS",
"department": "hair and beauty"
},
{
"index": 2,
"index start at 5": 7,
"team": "na",
"company": "CVS",
"department": "hair and beauty"
}
],
"Ronna": {
"age": 82
}
}```
One can't get an "array of objects" at the moment from the external adapter, here is the list of currently supported response types.
You will need to make a Multi-Varibale Responses request and then get each individual property like this
{
"success": true,
"data": [
{
"price_id": "3",
"product": "456",
"category": "53 Grade Cement",
"brand": "22",
"price": "290",
"price_unit": "bag",
"seller_id": null,
"status": "1",
"created_on": "2021-03-04 00:00:00",
"category_name": "Cement",
"brand_name": "Ramco"
}
]
}
I am guessing you are trying to request some data from server. So you've managed to request and get the data. Assign that data to a variable called response and then
you could just to this response.data[0].category.
I want to update an array of objects within an existing json object with the content from another json object.
Initial object:
{
"user": "gT35Hhhre9m",
"date": "2016-01-29",
"status": "OK",
"reason": "some reason",
"content": [
{
"foo": 123,
"bar": "val1"
}
]
}
Supplementary object:
{
"id": "gT35Hhhre9m"
}
Post-merge object structure:
{
"user": "gT35Hhhre9m",
"date": "2016-01-29",
"status": "OK",
"reason": "some reason",
"content": [{
"foo": 123,
"bar": "val1"
"id": "gT35Hhhre9m"
}]
}
Flatten the "Initial object" and treat Spark dataframes as columnar
data similar to a SQL table.
Complete transformations
Convert back to Spark dataframes as JSON.
Not thinking dataframe as JSON is the trick.
I am parsing JSON using swift. I came to a dictionary which returns empty. How would I go about parsing this into a custom object?
** I am looking at Image**
},
"name": "Al bake",
"image": {},
"website": "",
"category": {
"id": "d59d2b1c-ca37-4c76-bb93-1c0ba967ee84",
"name": "Test Category",
"slug": "test-category",
"is_active": true
},
If you need the value for image, which should be a dictionary (empty or containing keys & values), you need to know the type that contains it.
For instance, let's assume that the following code is contained in a dictionary:
"name": "Al bake",
"image": {},
"website": "",
"category": {
"id": "d59d2b1c-ca37-4c76-bb93-1c0ba967ee84",
"name": "Test Category",
"slug": "test-category",
"is_active": true
You would do something like this:
if let image = dictionary["image"] as? Dictionary<String, Any> {
print(image.description)
} else {
print("Image does not contain a value")
}