Complex schema validation in Karate - java

I'm trying to validate the response schema with karate but facing issue with array.
Attaching the response and feature as well as my schema.json.
Response -
{
"page": 1,
"per_page": 6,
"total": 12,
"total_pages": 2,
"data": [
{
"id": 3,
"email": "emma.wong#reqres.in",
"first_name": "Emma",
"last_name": "Wong",
"avatar": "https://reqres.in/img/faces/3-image.jpg"
},
{
"id": 4,
"email": "eve.holt#reqres.in",
"first_name": "Eve",
"last_name": "Holt",
"avatar": "https://reqres.in/img/faces/4-image.jpg"
},
{
"id": 5,
"email": "charles.morris#reqres.in",
"first_name": "Charles",
"last_name": "Morris",
"avatar": "https://reqres.in/img/faces/5-image.jpg"
},
{
"id": 6,
"email": "tracey.ramos#reqres.in",
"first_name": "Tracey",
"last_name": "Ramos",
"avatar": "https://reqres.in/img/faces/6-image.jpg"
}
],
"support": {
"url": "https://reqres.in/#support-heading",
"text": "To keep ReqRes free, contributions towards server costs are appreciated!"
}
}
Scenario: Get all Users and validate schema
Given url getUrl
When method Get
Then status 200
And print response
Then match response == '#object'
* string jsonSchemaExpected = read('file:src/test/resources/features/sample/responseSchema.json')
And print response.data.length
And match response == jsonSchemaExpected
responseSchema.json
{
"page": "#number",
"per_page": "#number",
"total": "#number",
"total_pages": "#number",
"data": "#[] #object",
"support": "#object"
}


The only observation I have is if you cast to a string, you won't be able to do any matching.
Instead of * string jsonSchemaExpected do * def jsonSchemaExpected.

Related

How to get json key values by another key value

I have a JSON output like this:
{
"items": [
{
"id": "1",
"name": "Anna",
"values": [
{
"code": "Latin",
"grade": 1
},
{
"code": "Maths",
"grade": 5
}
]
},
{
"id": "2",
"name": "Mark",
"values": [
{
"code": "Latin",
"grade": 5
},
{
"code": "Maths",
"grade": 5
}
]
}
]
}
I need to get field values for "name": "Anna". I am getting RestAssured Response and would like to use my beans to do that, but I can also use jsonPath() or jsonObject(), but I don't know how. I searched many topics but did not find anything.

Using JSONpath in REST ASSURED java want to extract the data which are in array

The function contains the API in which I can get the value in JSON format. But I want to get the exact ID=2 which is present in JSON How can I get that data using the Java JSON path.
I have to use the maven dependency.
The function contains the API in which I can get the value in JSON format. But I want to get the exact ID=2 which is present in JSON How can I get that data using the Java JSON path.
I have to use the maven dependency.
<dependency>
<groupId>com.jayway.jsonpath</groupId>
<artifactId>json-path</artifactId>
<version>2.4.0</version>
</dependency>
void get_extract_response_body() {
//Specify Base URL
RestAssured.baseURI="https://reqres.in/api";
//Request object
RequestSpecification httpRequest=RestAssured.given();
//Response Object
Response response=httpRequest.request(Method.GET,"/unknown");
String responseBody= response.getBody().asString();
System.out.println(responseBody);
//Print Response in console window
JsonPath jsonpath= response.jsonPath();
System.out.println(jsonpath.get("data[0]."));
/*
* String id=jsonpath.get("$.data[1].id"); System.out.println(id);
*/
}
{
"page": 1,
"per_page": 6,
"total": 12,
"total_pages": 2,
"data": [
{
"id": 1,
"name": "cerulean",
"year": 2000,
"color": "#98B2D1",
"pantone_value": "15-4020"
},
{
"id": 2,
"name": "fuchsia rose",
"year": 2001,
"color": "#C74375",
"pantone_value": "17-2031"
},
{
"id": 3,
"name": "true red",
"year": 2002,
"color": "#BF1932",
"pantone_value": "19-1664"
},
{
"id": 4,
"name": "aqua sky",
"year": 2003,
"color": "#7BC4C4",
"pantone_value": "14-4811"
},
{
"id": 5,
"name": "tigerlily",
"year": 2004,
"color": "#E2583E",
"pantone_value": "17-1456"
},
{
"id": 6,
"name": "blue turquoise",
"year": 2005,
"color": "#53B0AE",
"pantone_value": "15-5217"
}
],
"support": {
"url": "https://reqres.in/#support-heading",
"text": "To keep ReqRes free, contributions towards server costs are appreciated!"
}
}
This Response helped me to find the key-value from each data.

There are 2 JsonPath:
JsonPath Rest-Assured:
JsonPath jsonpath= response.jsonPath();
int id = jsonPath.getInt("data[1].id");
System.out.println(id); //2
JsonPath Jayway:
int id = com.jayway.jsonpath.JsonPath.read(response.asString(), "$.data[1].id");
System.out.println(id); //2

Elasticsearch 5.1 Bulk Action

I'm try to make a bulk update
Method: Post
Url: /customer/external/_bulk
Json Body:
{"index":{"_id":"1"}}
{"name": "John Doe" }
{"index":{"_id":"2"}}
{"name": "Jane Doe" }
Id 1 is updated but id 2 didnt update. I dont know why?
Response is here:
{
"took": 138,
"errors": false,
"items": [
{
"index": {
"_index": "customer",
"_type": "external",
"_id": "1",
"_version": 15,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"created": false,
"status": 200
}
}
]
}

As #Val mentioned, you should be having the new line character \n at the end of the last line in your json body:
{"index":{"_id":"1"}}
{"name": "John Doe" }
{"index":{"_id":"2"}}
{"name": "Jane Doe" }\n
as per mentioned in bulk_api. Hope it helps!

Grouping by ID in mongoDB

Can anyone help me with the following aggregate operation in mongodb: having a collection of items with ids and group ids, group them by group ids. For example, for collection of items:
{
"id": 1,
"group_id": 10,
"data": "some_data",
"name": "first"
},
{
"id": 2,
"group_id": 10,
"data": "some_data",
"name": "second"
},
{
"id": 3
"group_id": 20,
"data": "some_data",
"name": "third"
}
Create new collection of groups with the following structure:
{
"id": 10,
"items": [
{
"id": 1,
"group_id": 10,
"data": "some_data",
"name": "first"
},
{
"id": 2,
"group_id": 10,
"data": "some_data",
"name": "second"
}
]
},
{
"id": 10,
"items": [
{
"id": 2,
"group_id": 20,
"data": "some_data",
"name": "third"
}
]
}
The corresponding snippet with Java and spring-data-mongodb will also be appreciated.
In fact I'm doing the same right now with Java and want to move this logic to mongo for paging optimisation.

You can do it with the folowwing simple group aggregation:
db.table.aggregate(
[
{
$group: {
_id : "$group_id",
items : { "$push" : "$$ROOT" }
}
}
]
);
When you want to output the data from the aggregation into a new collection use the $out operator

ElasticSearch Java Api: Update Existing Document

I am currently in the process of attempting to update an ElasticSearch document via the Java API. I have a groovy script with the following code:
static updateRequestById(String agencyIndex, String type, String id, def policy) {
UpdateRequest updateRequest = new UpdateRequest()
updateRequest.docAsUpsert(true);
updateRequest.parent("agentNumber");
updateRequest.index(agencyIndex)
updateRequest.type(type)
updateRequest.id(id)
updateRequest.doc("policies", policy)
elasticsearchClient.update(updateRequest).get()
}
The problem with I am having is that I want to update an array within the following document:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 10,
"successful": 10,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "int-b-agency",
"_type": "jacket",
"_id": "99808.1.27.09_4644",
"_score": 1,
"_source": {
"agentNumber": "99808.1.27.09",
"fileNumber": "4644",
"policies": [
{
"agentNumber": "99808.1.27.09",
"fileNumber": "4644",
"policyNumber": "2730609-91029084",
"checkNumber": "0",
"checkAmount": 0,
"createdOn": null,
"createdBy": "traxuser621",
"propertyTypeCode": "",
"propertyTypeDesc": "1-4 FAMILY RESIDENTIAL",
"ppaddress": "110 Allan Ct ",
"ppcity": "Jacksonville",
"ppstate": "FL",
"ppzip": "32226",
"ppcounty": "Duval",
"policytype": "",
"status": "Active",
"effectiveDate": "2015-04-01T00:00:00-05:00",
"formType": "BASIC OWNERS - ALTA Owners Policy 06_306_FL - FL Original Rate",
"rateCode": "FLOR",
"rateCodeDesc": "FL Original Rate",
"policyTypeCode": "1",
"policyTypeCodeDesc": "BASIC OWNERS",
"amount": 200000,
"hoiAgentNumber": "",
"proForma": false,
"pdfLocation": "\\\\10.212.61.206\\FNFCenter\\legacy_jacket_pdfs\\2015_4_FL6465\\Policy_2730609-91029084.pdf",
"legacyPolicy": "true",
"associatedPolNbr": null
}
]
}
}
]
}
}
In the document above I have a document that has an array called "policies" with a single object. I want to be able to update the "policies" array with additional objects. The end result should look something like the following:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 10,
"successful": 10,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "int-b-agency",
"_type": "jacket",
"_id": "41341.1.81.38_41340103",
"_score": 1,
"_source": {
"agentNumber": "41341.1.81.38",
"fileNumber": "41340103",
"policies": [
{
"agentNumber": "41341.1.81.38",
"fileNumber": "41340103",
"policyNumber": "8122638-91036874",
"checkNumber": "0",
"checkAmount": 0,
"createdOn": null,
"createdBy": "traxuser621",
"propertyTypeCode": "",
"propertyTypeDesc": "1-4 FAMILY RESIDENTIAL",
"ppaddress": "1800 Smith St ",
"ppcity": "sicklerville",
"ppstate": "PA",
"ppzip": "08105",
"ppcounty": "Dauphin",
"policytype": "",
"status": "Active",
"effectiveDate": "2016-02-01T00:00:00-06:00",
"formType": "TestData",
"rateCode": "PASALERATE",
"rateCodeDesc": "Sale Rate - Agent",
"policyTypeCode": "26",
"policyTypeCodeDesc": "SALE OWNERS",
"amount": 180000,
"hoiAgentNumber": "",
"proForma": false,
"pdfLocation": "SomeLocation1",
"legacyPolicy": "true",
"associatedPolNbr": null
},
{
"agentNumber": "41341.1.81.38",
"fileNumber": "41340103",
"policyNumber": "8122638-91036875",
"checkNumber": "0",
"checkAmount": 0,
"createdOn": null,
"createdBy": "traxuser621",
"propertyTypeCode": "",
"propertyTypeDesc": "1-4 FAMILY RESIDENTIAL",
"ppaddress": "1800 Smith St ",
"ppcity": "sicklerville",
"ppstate": "PA",
"ppzip": "08105",
"ppcounty": "Dauphin",
"policytype": "",
"status": "Active",
"effectiveDate": "2016-02-01T00:00:00-06:00",
"formType": "Test Data",
"rateCode": "PASALERATE",
"rateCodeDesc": "Sale Rate - Agent",
"policyTypeCode": "26",
"policyTypeCodeDesc": "SALE OWNERS",
"amount": 180000,
"hoiAgentNumber": "",
"proForma": false,
"pdfLocation": "SomeLocation2",
"legacyPolicy": "true",
"associatedPolNbr": null
}
]
}
}
]
}
}
What am I doing wrong?

You can use a scripted update:
Put your new policy in a parameter, for example policy
Use a script like the following :
if (!ctxt._source.policies) { ctxt._source.policies = [] }
ctxt._source.policies += policy
See this documentation : https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-update.html

Updates in inverted indexes are deletes and replacements of documents. There is no in-place update like you find in a db. ES uses Lucene under the hood which in-turn implements a kick-ass inverted index.

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