I have a use case where I want to assert on a API response and compare it with the csv data.
Step1:
Csv file: *test.csv*
id,date,fullname,cost,country,code
1,02-03-2002,user1,$200,Canada,CAN
2, 04-05-2016,user2,$1500,United States, USA
I read the csv file and store it in a variable
def var1 = read(test.csv)
So now, var1 is a list of jsons based on my csv
var1 = [
{
"id":1,
"date":"02-03-2002",
"fullname": "user1",
"cost": "$200",
"country": "Canada",
"code": "CAN"
},
{
"id":2,
"date":"04-05-2016",
"fullname": "user2",
"cost": "$1500",
"country": "United States",
"code": "USA"
}
]
Step2:
I hit my api and get a response
Given url "https://dummyurl.com
Given path "/userdetails"
When method get
Then status 200
* def apiResponse = response
Step 3:
My api returns a list response which is:
{
"id":1,
"date":"02-03-2002",
"fullname": "user1",
"cost": "$200",
"country": {
"name": "Canada",
"code": "CAN"
}
},
{
"id":2,
"date":"05-04-2012",
"fullname": "user2",
"cost": "$1500",
"country": {
"name": "United States",
"code": "USA"
}
},
...and more 100 records..
]
Step 4:
So there are two assertions now which I wanted to perform
Get the count of csvresponse and apiresponse and compare which I did using the .length operator
Secondly, I want to confirm if each csv records are matching with each api response.
And if possible in my case id key from csv and apiresponse is primary key, so if I can iterate on id and match the api response for any discrepancy.
Let me know if this is readable for you and if I was able to explain my use case.
Thanks for your earlier response.
Please read up on the match contains syntax, that's all you need: https://github.com/intuit/karate#match-contains
So this one line should be enough:
* match var1 contains response
Also look at this answer in case the new contains deep helps: https://stackoverflow.com/a/63103746/143475
Try to avoid iterating, it is not needed for most API tests. But you can certainly do it. Look at these answers:
https://stackoverflow.com/a/62567262/143475
Also read this - because I suspect you are trying to over-complicate your tests. Please don't. Write tests where your are 100% sure of the "shape" of the response as far as possible: https://stackoverflow.com/a/54126724/143475
And please please read the docs. It is worth it.
Related
I am trying to transform the below Array of Objects input:
[
{
"Id": "3",
"Code": "4190484",
"Expense": "Huge Expense "
},
{
"Id": "4",
"Code": "271",
"Expense": "Big Expense"
},
{
"Id": "3",
"Code": "433",
"Expense": "No Expense"
}
]
to this Output of a single object:
{
"Id": "3",
"Code": "4190484",
"Expense": "Huge Expense ",
"Id": "4",
"Code": "271",
"Expense": "Big Expense",
"Id": "3",
"Code": "433",
"Expense": "No Expense"
}
How would you accomplish this in Dataweave?
You can also use the dynamic elements feature of the language:
%dw 2.0
output application/json
---
{(payload)}
Like #aled explained in his answer, you should not be using duplicate keys in JSON.
You can use the reduce() function but be warned that using duplicate keys in JSON is implementation dependent. I think it is a bad design to use duplicate keys in JSON. It might lead to unexpected behaviors. Some implementations might ignore the duplicates. For example DataWeave will return only one Id of the resulting object with payload.Id.
If even after what I mentioned you still want to go ahead it this is an example:
%dw 2.0
output application/json
---
// I don't recommend to use duplicate keys
payload reduce ((item, acc = {}) -> acc ++ item)
I have been struggling with this problem for a long time. I need to create a new JSON flowfile using QueryRecord by taking an array (field ref) from input JSON field refs and skip the object field as shown in example below:
Input JSON flowfile
{
"name": "name1",
"desc": "full1",
"refs": {
"ref": [
{
"source": "source1",
"url": "url1"
},
{
"source": "source2",
"url": "url2"
}
]
}
}
QueryRecord configuration
JSONTreeReader setup as Infer Schema and JSONRecordSetWriter
select name, description, (array[rpath(refs, '//ref[*]')]) as sources from flowfile
Output JSON (need)
{
"name": "name1",
"desc": "full1",
"references": [
{
"source": "source1",
"url": "url1"
},
{
"source": "source2",
"url": "url2"
}
]
}
But got error:
QueryRecord Failed to write MapRecord[{references=[Ljava.lang.Object;#27fd935f, description=full1, name=name1}] with schema ["name" : "STRING", "description" : "STRING", "references" : "ARRAY[STRING]"] as a JSON Object due to java.lang.ClassCastException: null
Try the following approach, in your case it shoud work:
1) Read your JSON field fully (I imitated it with GenerateFlowFile processor with your example)
2) Add EvaluateJsonPath processor which will put 2 header fileds (name, desc) into the attributes:
3) Add SplitJson processor which will split your JSON byt refs/ref/ groups (split by "$.refs.ref"):
4) Add ReplaceText processor which will add you header fields (name, desc) to the split lines (replace "[{]" value with "{"name":"${json.name}","desc":"${json.desc}","):
5) It`s done:
Full process in my demo case:
Hope this helps.
Solution!: use JoltTransformJSON to transform JSON by Jolt specification. About this specification.
I am facing issue while validate Nested JSON response in API Testing using Karate Framework.
JSON Response:
Feed[
{ "item_type": "Cake" ,
"title": "Birthday Cake",
"Services":
[
{
"id": "1",
"name": {
"first_name": "Rahul",
"last_name": "Goyal"
}
},
{
"id": "2",
"name":{
"first_name": "Hitendra",
"last_name": "garg"
}
}
]
},
{
"item_type":"Cycle",
"title": "used by"
},
{
"item_type": "College"
"dept":
[
{"branch": "EC"},
{"branch": "CSE"},
{"branch": "CIVIL"}
]
},
]
}
Now i need to validate response based on Item type. as we can see nested JSON is different for different item_type.
I have tried with below solution
Schema Design for Item_type value cake
def Feed_Cake_Service_name={first_name: '#string',last_name: '#string'}
def Feed_Cake_Services= {id: '#string',name:#(Feed_Cake_Service_name)}
def Feed_Cake={item_type:'#string',title: '#string',Services: '#[] Feed_Cake_Services'}
def Feed_Cake_Response= {Feed: '#[] Feed_Cake'}
Schema Design for item_type Cycle
def Feed_Cycle={item_type:'#string',title:'#string'}
Schema Design for item type College
def Feed_College_Dept_Branch={branch:'#string'}
def Feed_College={item_type:'#string',dept: '[] Feed_College_Dept_Branch'}
now if i want to verify only item type Cake then i have written match like below
match response contains Feed_Cake_Response
but here my test case is getting failed. because it is comparing for all item type.
so here i have two question
1.) How we can compare particular item type schema
2.) How we can include all item type in one match equation since any item type can come in JSON response , and i want to validate all
Thanks
I'll just give you one hint. For the rest, read the documentation please:
* def item = { item_type: '#string', title: '##string', dept: '##[]', Services: '##[]' }
* match each response == item
In jmeter, I want to pass dynamic parameters. For simple json its easy to put ${value1} but if json structure is complex like array or with multiple values then what is the proper method to pass parameter dynamically. Please refer below json.
Below is json with parameter :
{
"squadName": "Super hero squad",
"homeTown": "Metro City",
"formed": 2016,
"secretBase": "Super tower",
"active": true,
"members": [
{
"name": "Molecule Man",
"age": 29,
"secretIdentity": "Dan Jukes",
"powers": [
"Radiation resistance",
"Turning tiny",
"Radiation blast"
]
},
{
"name": "Madame Uppercut",
"age": 39,
"secretIdentity": "Jane Wilson",
"powers": [
"Million tonne punch",
"Damage resistance",
"Superhuman reflexes"
]
},
{
"name": "Eternal Flame",
"age": 1000000,
"secretIdentity": "Unknown",
"powers": [
"Immortality",
"Heat Immunity",
"Inferno",
"Teleportation",
"Interdimensional travel"
]
}
]
}
=======
Now I have used below method to send parameter through csv config file.
Is there any other simple method to pass parameter through variables in Jmeter for complex json (5-6 level with array data) ?
CSV DATA config is the best to parameterize your test data.
If you want to customize the way you want to pick values from CSV you can use BeanShell /JSR223 sampler
here is one article that shows how to pick random values from CSV data config.
I am accessing the facebook api and using the json.net library (newtonsoft.json.net)
I declare a Jobject to parse the content and look for the specific elements and get their values. Everything works fine for the first few but then I get this unexplained nullexception error " (Object reference not set to an instance of an object)
Now I took a look at the declaration but cannot see how to change it. Any help appreciated:
Dim jobj as JObject = JObject.Parse(responseData)
message = jobj("message").tostring
The error occurs at the last line above.I check to see if message is null and then look for the next desired field as follows
catch exception..
dim jobj2 as JObject = JObject.parse(responseData)
description = jobj2("description").tostring
JSON responsedata:
{
"id": "5281959998_126883980715630",
"from": {
"name": "The New York Times",
"category": "Company",
"id": "5281959998"
},
"picture": "http://external.ak.fbcdn.net /safe_image.php?d=e207958ca7563bff0cdccf9631dfe488&w=
90&h=90&url=http\u00253A\u00252F\u00252Fgraphics8.nytimes.com\u00252Fimages\u00252F2011\u00252F02\u00252F04\u00252Fbusiness\u00252FMadoff\u00252FMadoff-thumbStandard.jpg",
"link": "http://nyti.ms/hirbn0",
"name": "JPMorgan Said to Have Doubted Madoff Long Before His Scheme Was Revealed",
"caption": "nyti.ms",
"description": "Newly unsealed court documents show that bank
executives were suspicious of Bernard Madoff\u2019s accounts
and steered clients away from him but did not alert regulators.",
"icon": "http://static.ak.fbcdn.net/rsrc.php/yD/r/aS8ecmYRys0.gif",
"type": "link",
"created_time": "2011-02-04T16:09:03+0000",
"updated_time": "2011-02-06T20:09:51+0000",
"likes": {
"data": [
{
"name": "Siege Ind.",
"category": "Product/service",
"id": "152646224787462"
},
{
"name": "Lindsey Souter",
"id": "100000466998283"
},
This is one example where "message" does not appear in the first few lines but appears later. So what I do is look for position of message and description and which ever is first go and get that and if I get an error or the fields do not return anything, I try and parse by regex and even that is not working right.
Well, presumably jobj("message") has returned Nothing, which will happen if jobj doesn't have a message property. If you think this is incorrect, please post a short but complete piece of JSON to help us investigate.
(Is there any reason why you're declaring message and assigning it a value on the second line, only to overwrite that value on the third line?)