I have a scenario where a portion of the response arrays is the response from a child API.
child API response looks like below, but there is no specific order. And I need to check whether the child API response is present in the parent API(irrespective of the order of the elements in the child API). I followed this Karate - Match two dynamic responses thread but its not working in my case.
* def response1 =
"""
{
"array1": [
{
"element": {
"id": "A1",
"array11": [
{
"uid": "u123",
"gid": [
"g1"
]
}
]
}
},
{
"element": {
"id": "A2",
"array11": [
{
"uid": "u124",
"gid": [
"g2"
]
}
]
}
}
]
}
"""
* def response2 =
"""
{
"array1": [
{
"element": {
"id": "A2",
"array11": [
{
"uid": "u124",
"gid": [
"g2"
]
}
]
}
},
{
"element": {
"id": "A1",
"array11": [
{
"uid": "u123",
"gid": [
"g1"
]
}
]
}
}
]
}
"""
This is a one liner :)
* match response2.array1 contains response1.array1
Guess what, you don't have to match pure JSON all the time, using child-sections is fine.
But also read this specific part of the docs: https://github.com/intuit/karate#contains-short-cuts
And this example: https://github.com/intuit/karate/blob/master/karate-demo/src/test/java/demo/graphql/graphql.feature
Related
I have a scenario where I need to call a secondary feature file that contains an API call where the response is a JSON object. However, I need to call this scenario multiple times, so I am using karate.repeat to achieve this. However, the resulting response is a malformed JSON that I cannot traverse.
This is what I am doing:
* def fun = function(i){ return karate.call('abc.feature#abc', value)}
* def loop = karate.repeat(2, fun)
* karate.log(loop)
The response I get is:
{
"Total_packages1": {
"package1": {
"tags": [
"kj21",
"j1",
"sj2",
"z1"
],
"expectedResponse": [
{
"firstName": "Name",
"lastName": "lastName",
"purchase": [
{
"title": "title",
"category": [
"a",
"b",
"c"
]
}
]
}
]
}
}
}
{
"Total_packages2": {
"package2": {
"tags": [
"kj212",
"j12",
"sj22",
"z12"
],
"expectedResponse": [
{
"firstName": "Name2",
"lastName": "lastName2",
"purchase": [
{
"title": "title2",
"category": [
"a2",
"b2",
"c2"
]
}
]
}
]
}
}
}
As you can see, Total_packages2 starts malformed. I need to grab the "tags" values from each package, however, I cannot simply do Total_packages1.package1.tags like I could with a single response in the JSON.
If I cannot achieve what I need by karate.repeat, is there another method that is recommended for looping like this? I haven't found anything in the documentation for this particular scenario.
Don't use karate.repeat() use call with a JSON array. Read this part of the docs: https://github.com/karatelabs/karate#data-driven-features
Goal: Match the check value is correct for 123S and 123O response in API
First check the value on this location x.details[0].user.school.name[0].codeable.text if it is 123S then check if x.details[0].data.check value is abc
Then check if the value on this location x.details[1].user.school.name[0].codeable.text is 123O then check if x.details[1].data.check is xyz
The response in array inter changes it is not mandatory first element is 123S sometime API returns 123O as first array response.
Sample JSON.
{
"type": "1",
"array": 2,
"details": [
{
"path": "path",
"user": {
"school": {
"name": [
{
"value": "this is school",
"codeable": {
"details": [
{
"hello": "yty",
"condition": "check1"
}
],
"text": "123S"
}
}
]
},
"sample": "test1",
"id": "22222"
},
"data": {
"check": "abc"
}
},
{
"path": "path",
"user": {
"school": {
"name": [
{
"value": "this is school",
"codeable": {
"details": [
{
"hello": "def",
"condition": "check2"
}
],
"text": "123O"
}
}
]
},
"sample": "test",
"id": "11111"
},
"data": {
"check": "xyz"
}
}
]
}
How I did in Postman but how to replicate same in Karate?
var jsonData = pm.response.json();
pm.test("Body matches string", function () {
for(var i=0;i<jsonData.details.length;i++){
if(jsonData.details[i].user.school.name[0].codeable.text == '123S')
{
pm.expect(jsonData.details[i].data.check).to.equal('abc');
}
if(jsonData.details[i].user.school.name[0].codeable.text == '123O')
{
pm.expect(jsonData.details[i].data.check).to.equal('xyz');
}
}
});
2 lines. And this takes care of any number of combinations of lookup values :)
* def lookup = { '123S': 'abc', '123O': 'xyz' }
* match each response.details contains { data: { check: '#(lookup[_$.user.school.name[0].codeable.text])' } }
There are multiple keys present in x.details[0].user so how to compare in such condition. It works fine where there is only one key while when there are more than one key it fails with error as there are multiple keys for user.
Please guide
* def array =
"""
{
"type": "1",
"array": 2,
"details": [
{
"path": "path",
"user": {
"school": {
"name": [
{
"value": "this is school",
"codeable": {
"details": [
{
"hello": "yty",
"condition": "check1"
}
],
"text": "123S"
}
}
]
},
"sample": "test1",
"id": "22222"
},
"data": {
"check": "abc"
}
},
{
"path": "path",
"user": {
"school": {
"name": [
{
"value": "this is school",
"codeable": {
"details": [
{
"hello": "def",
"condition": "check2"
}
],
"text": "123O"
}
}
]
},
"sample": "test",
"id": "11111"
},
"data": {
"check": "xyz"
}
}
]
}
"""
* def lookup = { 'check1': 'yty', 'check2': 'def' }
* match each array.details contains { user: { school: { name[0]: { codeable: { details[0]: { hello: '#(lookup[_$.user.school.name[0].codeable.details[0].condition])' } } } } } }
I have tried multiple ways but not sure how to make it work when there are more than one keys getting returned.
First let me say this. Please, please do not try to be "too clever" in your tests. Read this please: https://stackoverflow.com/a/54126724/143475
Just have simple tests that test for specific, predictable responses and stop there. The maximum complexity should be match contains, that's it. What you are trying to do is in my opinion a waste of time, and will just cause grief for anyone who tries to maintain these tests in future.
That said, I'm giving you a completely different approach here. There are a few different ways, this is just one. Here we attack the problem piece by piece instead of trying to write one massive match.
* def allXyz = array.details.filter(x => x.data.check == 'xyz')
* match each allXyz..details == [{ hello: 'def', condition: 'check2' }]
You should be able to extend this to do all the weird assertions that you want. If you are wondering what allXyz..details does, you can print it like this:
* def temp = $allXyz..details
* print temp
Im parsing C++ with ANTLR4 grammar, I have a visitor function for visitDeclarationStatement. In the C++ code that Im trying to parse Person p; or a declaration of any custom type, in the tree I get two similar nodes and I cannot differentiate between the Lvalue and Rvalue!
"declarationStatement": [
{
"blockDeclaration": [
{
"simpleDeclaration": [
{
"declSpecifierSeq": [
{
"declSpecifier": [
{
"typeSpecifier": [
{
"trailingTypeSpecifier": [
{
"simpleTypeSpecifier": [
{
"theTypeName": [
{
"className": [
{
"type": 128,
"text": "Person"
}
]
}
]
}
]
}
]
}
]
}
]
},
{
"declSpecifier": [
{
"typeSpecifier": [
{
"trailingTypeSpecifier": [
{
"simpleTypeSpecifier": [
{
"theTypeName": [
{
"className": [
{
"type": 128,
"text": "p"
}
]
}
]
}
]
}
]
}
]
}
]
}
]
},
{
"type": 124,
"text": ";"
}
]
}
I want to be able to get Variable Type and Variable Name separately. What is the right way of doing that? How can I change the g4 file to get those results in a way that I can differentiate between the type and the name?
Thanks
You don't need to change the grammar. In case of Person p;, which is matched by:
declSpecifierSeq: declSpecifier+ attributeSpecifierSeq?;
the first child of declSpecifierSeq (which is declSpecifier+) will be a List of declSpecifier-contexts, of which the first is the type and the second the name.
I'm using elasticsearch and need to implement facet search for hierarchical object as follow:
category 1 (10)
subcategory 1 (4)
subcategory 2 (6)
category 2 (X)
...
So I need to get facets for two related objects. Documentation says that it's possible to get such kind of facets for numeric value, but I need it for strings http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-facets-terms-stats-facet.html
Here is another interesting topic, unfortunately it's old: http://elasticsearch-users.115913.n3.nabble.com/Pivot-facets-td2981519.html
Does it possible with elastic search?
If so, how can I do that?
The previous solution works really well until you have no more than a multi-level tag on a single-document. In this case a simple aggregation doesn't work, because the flat structure of the lucene fields mix the results on the internal aggregation.
See the example below:
DELETE /test_category
POST /test_category
# Insert a doc with 2 hierarchical tags
POST /test_category/test/1
{
"categories": [
{
"cat_1": "1",
"cat_2": "1.1"
},
{
"cat_1": "2",
"cat_2": "2.2"
}
]
}
# Simple two-levels aggregations query
GET /test_category/test/_search?search_type=count
{
"aggs": {
"main_category": {
"terms": {
"field": "categories.cat_1"
},
"aggs": {
"sub_category": {
"terms": {
"field": "categories.cat_2"
}
}
}
}
}
}
That's the WRONG response that I have got on ES 1.4, where the fields on the internal aggregation are mixed at a document level:
{
...
"aggregations": {
"main_category": {
"buckets": [
{
"key": "1",
"doc_count": 1,
"sub_category": {
"buckets": [
{
"key": "1.1",
"doc_count": 1
},
{
"key": "2.2", <= WRONG
"doc_count": 1
}
]
}
},
{
"key": "2",
"doc_count": 1,
"sub_category": {
"buckets": [
{
"key": "1.1", <= WRONG
"doc_count": 1
},
{
"key": "2.2",
"doc_count": 1
}
]
}
}
]
}
}
}
A Solution can be to use nested objects. These are the steps to do:
1) Define a new type in the schema with nested objects
POST /test_category/test2/_mapping
{
"test2": {
"properties": {
"categories": {
"type": "nested",
"properties": {
"cat_1": {
"type": "string"
},
"cat_2": {
"type": "string"
}
}
}
}
}
}
# Insert a single document
POST /test_category/test2/1
{"categories":[{"cat_1":"1","cat_2":"1.1"},{"cat_1":"2","cat_2":"2.2"}]}
2) Run a nested aggregation query:
GET /test_category/test2/_search?search_type=count
{
"aggs": {
"categories": {
"nested": {
"path": "categories"
},
"aggs": {
"main_category": {
"terms": {
"field": "categories.cat_1"
},
"aggs": {
"sub_category": {
"terms": {
"field": "categories.cat_2"
}
}
}
}
}
}
}
}
That's the response, now correct, that I have got:
{
...
"aggregations": {
"categories": {
"doc_count": 2,
"main_category": {
"buckets": [
{
"key": "1",
"doc_count": 1,
"sub_category": {
"buckets": [
{
"key": "1.1",
"doc_count": 1
}
]
}
},
{
"key": "2",
"doc_count": 1,
"sub_category": {
"buckets": [
{
"key": "2.2",
"doc_count": 1
}
]
}
}
]
}
}
}
}
The same solution can be extended to a more than two-levels hierarchy facet.
Currently, elasticsearch does not support hierarchical facetting out-of-the-box. But the upcoming 1.0 release features a new aggregations module, that can be used to get these kind of facets (which are more like pivot-facets rather than hierarchical facets). Version 1.0 is currently in beta, you can download the second beta and test out aggregatins by yourself. Your example might look like
curl -XPOST 'localhost:9200/_search?pretty' -d '
{
"aggregations": {
"main category": {
"terms": {
"field": "cat_1",
"order": {"_term": "asc"}
},
"aggregations": {
"sub category": {
"terms": {
"field": "cat_2",
"order": {"_term": "asc"}
}
}
}
}
}
}'
The idea is, to have a different field for each level of facetting and bucket your facets based on the terms of the first level (cat_1). These aggregations then would have sub-buckets, based on the terms of the second level (cat_2). The result may look like
{
"aggregations" : {
"main category" : {
"buckets" : [ {
"key" : "category 1",
"doc_count" : 10,
"sub category" : {
"buckets" : [ {
"key" : "subcategory 1",
"doc_count" : 4
}, {
"key" : "subcategory 2",
"doc_count" : 6
} ]
}
}, {
"key" : "category 2",
"doc_count" : 7,
"sub category" : {
"buckets" : [ {
"key" : "subcategory 1",
"doc_count" : 3
}, {
"key" : "subcategory 2",
"doc_count" : 4
} ]
}
} ]
}
}
}