I got a response like:
{
"by_group": [
{
"key": "2021-03-17T00:00:00.000+08:00",
"by_state": [
{
"key": "STATE1",
"value": 1
},
{
"key": "STATE2",
"value": 2
}
]
},
{
"key": "2021-03-20T00:00:00.000+08:00",
"by_state": [
{
"key": "STATE3",
"value": 3
},
{
"key": "STATE4",
"value": 4
}
]
},
{
"key": "2021-03-24T00:00:00.000+08:00",
"by_state": []
}
]
}
schema used here:
* def schema2 = { key : '#string', value : '##number? _ >= 0' }
* def schema1 = { key : '#string', by_state : '#[_ > 0] schema2' }
And match response ==
"""
{
by_group: '#[_ > 0] schema1'
}
"""
It failed when we got the 3rd item which was an empty array, but we allowed this to happen.
We just need to make sure there is at least one valid "by_state" array in the response.
Your requirement can be expressed as one line:
* match response.by_group contains { key: '#string', by_state: '#[_ > 0]' }
Note that karate.filter() is something you should be aware of. So you can filter out the elements you want, and then count the number of results returned etc: https://github.com/intuit/karate#json-transforms
Related
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])' } }
Can anybody help me with the below error? I am not sure what I am missing. I guess something very simple I am missing.
assertion failed: path: $[0].drives[*], actual: [{"partitionData":[{"label":"Recovery"},{"label":""},{"label":"New Volume"},{"label":""}]}], expected: {partitionData=[{"label":"#present"}]}, reason: actual value does not contain expected
Below is my schema code:
* set schema
| path | 0 |
| drives | [{"partitionData": [{"label":"#present"}] }] |
Below is the output:
[
{
"drives": [
{
"partitionData": [
{
"label": "Recovery"
},
{
"label": ""
},
{
"label": "New Volume"
},
{
"label": ""
}
]
}
]
}
]
And match each output contains schema[0]
Since your question is confusing, here is a simple example. Don't use set if not needed.
* def schema = { "partitionData": [ { "label" : "#present" } ] }
* def response = { drives: [ { "partitionData": [ { "label" : "foo" } ] } ] }
* match each response.drives == schema
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
In the below JSON response, I need to extract the 'cid' for the record that has the 'nationalityDecription' as 'USA'. By using this query as a reference, I used the below loc in the karate feature file, but 1st line itself fails with syntax error(tried different combinations). For now, I'm using the custom javascript as a workaround which is working fine. I need help to check if i'm missing anything in syntax. Thanks
Response:
{
"header": {
"Id": "12345678",
"timeStamp": "2018-09-17T10:09:812.000"
},
"dataRecords": [
{
"cid": "31H678",
"cidMeta": "00",
"nationalityDecription": "CHINA"
},
{
"cid": "31S421",
"cidMeta": "01",
"nationalityDecription": "USA"
}
]
}
Feature file:
* def record= $response.dataRecords[?(#.nationalityDecription=='USA')]
* def cid = record.cid
* def response = { "header": { "Id": "12345678", "timeStamp": "2018-09-17T10:09:812.000" }, "dataRecords": [ { "cid": "31H678", "cidMeta": "00", "nationalityDecription": "CHINA" }, { "cid": "31S421", "cidMeta": "01", "nationalityDecription": "USA" } ] }
* def cid = get[0] response.dataRecords[?(#.nationalityDecription=='USA')].cid
* match cid == '31S421'
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
} ]
}
} ]
}
}
}