I have below JSON response:
{
"name": "Cabinets, Enclosures and Racks",
"parentId": "",
"categoryId": "55040",
"count": "3291",
"categoryLevel": "TOP"
},
{
"name": "Cable Management and Accessories",
"parentId": "55040",
"categoryId": "55041",
"count": "573",
"categoryLevel": "MIDDLE"
},
{
"name": "Cable Management",
"parentId": "55041",
"categoryId": "55042",
"count": "467",
"categoryLevel": "BOTTOM"
},
I need to fetch the only TOP CategoryLevel data. Is there any option to do so
Yes, why don't you read the docs a little more carefully: https://github.com/intuit/karate#jsonpath-filters
Try pasting the below in a fresh Scenario and see it working:
* def response =
"""
[
{
"name":"Cabinets, Enclosures and Racks",
"parentId":"",
"categoryId":"55040",
"count":"3291",
"categoryLevel":"TOP"
},
{
"name":"Cable Management and Accessories",
"parentId":"55040",
"categoryId":"55041",
"count":"573",
"categoryLevel":"MIDDLE"
},
{
"name":"Cable Management",
"parentId":"55041",
"categoryId":"55042",
"count":"467",
"categoryLevel":"BOTTOM"
}
]
"""
* def top = $response[?(#.categoryLevel=='TOP')]
* match top[0] == { name: 'Cabinets, Enclosures and Racks', parentId: '', categoryId: '55040', count: '3291', categoryLevel: 'TOP' }
Related
This is my api response. Want to extract the value of the Id based on the displayNumber. This display number is a given in the list of values in examples/csv file.
{
"Acc": [
{
"Id": "2b765368696b3441673633325",
"code": "SGD",
"val": 406030.83,
"displayNumber": "8957",
"curval": 406030.83
},
{
"Id": "4e676269685a73787472355776764b50717a4",
"code": "GBP",
"val": 22.68,
"displayNumber": "1881",
"curval": 22.68
},
{
"Id": "526e666d65366e67626244626e6266467",
"code": "SGD",
"val": 38404.44,
"displayNumber": "1004",
"curval": 38404.44
},
],
"combinations": [
{
"displayNumber": "3444",
"Code": "SGD",
"Ids": [
{
"Id": "2b765368696b34416736333254462"
},
{
"Id": "4e676269685a7378747235577"
},
{
"Id": "526e666d65366e6762624d"
}
],
"destId": "3678434b643530456962435272d",
"curval": 3.85
},
{
"displayNumber": "8957",
"code": "SGD",
"Ids": [
{
"Id": "3678434b6435304569624357"
},
{
"Id": "4e676269685a73787472355776764b50717a4"
},
{
"Id": "526e666d65366e67626244626e62664679"
}
],
"destId": "2b765368696b344167363332544",
"curval": 406030.83
},
{
"displayNumber": "1881",
"code": "GBP",
"Ids": [
{
"Id": "3678434b643530456962435275"
},
{
"Id": "2b765368696b3441673"
},
{
"Id": "526e666d65366e67626244626e626"
}
],
"destId": "4e676269685a7378747d",
"curval": 22.68
},
]
}
Examples
|displayNumber|
|8957|
|3498|
|4943|
Below expression works if i give the value
* def tempid = response
* def fromAccount = get[0] tempid.Acc[?(#.displayNumber==8957].Id
I'm not sure how to make this comparison value (i.e. 1881) as a variable which can be read from examples (scenario outline) or a csv file. Went through the documentation, which recommends, karate filters or maps. However, not able to follow how to implement.
You almost got it :-). This is the way you want to solve this
Scenario Outline: Testing SO question for Navneeth
* def tempid = response
* def fromAccount = get[0] tempid.Acc[?(#.displayNumber == <displayNumber>)]
* print fromAccount
Examples:
|displayNumber|
|8957|
|1881|
|3444|
You need to pass the placeholder in examples as -
'<displayNumber>'
I can't send Query with Arabic characters through API. I am trying to send the query from CS-Cart to Quickbooks Online.
I tried to send the query using the arabic letters as the following:
select * from Customer Where DisplayName = 'احمد عبدالعزيز'
it returns:
{
"responseHeader": {
"status": 400,
"message": "Bad Request",
"intuitTid": "2dbec1fd-5dc1-3a14-4a12-7c338db0ee2a",
"realmID": "123146420719144"
},
"response": {
"Fault": {
"Error": [
{
"Message": "Error parsing query",
"Detail": "QueryParserError: Invalid content. Lexical error at line 1, column 45. Encountered: \"\\u0627\" (1575), after : \"\\'\"",
"code": "4000"
}
],
"type": "ValidationFault"
},
"time": "2019-07-04T07:09:03.026-07:00"
}
}
And if I try it after encoding the name and send the query as the following:
select * from Customer Where DisplayName = '%D8%A7%D8%AD%D9%85%D8%AF+%D8%B9%D8%A8%D8%AF%D8%A7%D9%84%D8%B9%D8%B2%D9%8A%D8%B2'
it returns nothing:
{
"QueryResponse": {},
"time": "2019-07-04T07:09:42.698-07:00"
}
I am expecting to get like:
{
"QueryResponse": {
"Customer": [
{
"Taxable": false,
"BillAddr": {
"Id": "924",
"Country": "Saudi Arabia"
},
"ShipAddr": {
"Id": "925",
"Country": "Saudi Arabia"
},
"Job": false,
"BillWithParent": false,
"Balance": 157.5,
"BalanceWithJobs": 157.5,
"CurrencyRef": {
"value": "SAR",
"name": "Saudi Riyal"
},
"PreferredDeliveryMethod": "None",
"IsProject": false,
"domain": "QBO",
"sparse": false,
"Id": "577",
"SyncToken": "0",
"MetaData": {
"CreateTime": "2019-07-01T06:37:32-07:00",
"LastUpdatedTime": "2019-07-01T06:37:33-07:00"
},
"GivenName": "Ramil",
"FamilyName": "Gilaev",
"FullyQualifiedName": "Ramil Gilaev",
"DisplayName": "Ramil Gilaev",
"PrintOnCheckName": "Ramil Gilaev",
"Active": true,
"PrimaryPhone": {
"FreeFormNumber": "123456789"
}
}
],
"startPosition": 1,
"maxResults": 1
},
"time": "2019-07-05T02:12:35.562-07:00"
}
Also I noticed even if the Query is in English name, it results the same.
select * from Customer Where DisplayName = 'Ahmed Al-Khuraisir'
it results:
{
"QueryResponse": {},
"time": "2019-07-05T03:31:11.149-07:00"
}
Please check attached images.
Screenshot 1
Screenshot 2
I have documents that look like this:
[
{
"id": "e1bb9b05-11f2-459e-37d3-9bf9fed56c96",
"name": "bulbasaur",
"type": [
{
"slot": 2,
"type": {
"url": "https://pokeapi.co/api/v2/type/4/",
"name": "poison"
}
},
{
"slot": 1,
"type": {
"url": "https://pokeapi.co/api/v2/type/12/",
"name": "grass"
}
}
]
}
]
The following query is about as close as I can get, but not quite the output I'm hoping for.
Query
SELECT
c.id, c.name, t.type.name as type
FROM
c
JOIN
t IN c.types
WHERE
c.name = "bulbasaur"
Result
[
{
"id": "e1bb9b05-11f2-459e-37d3-9bf9fed56c96",
"name": "bulbasaur",
"type": "poison"
},
{
"id": "e1bb9b05-11f2-459e-37d3-9bf9fed56c96",
"name": "bulbasaur",
"type": "grass"
}
]
Hoping for
[
{
"id": "e1bb9b05-11f2-459e-37d3-9bf9fed56c96",
"name": "bulbasaur",
"types": ["poison", "grass"]
}
]
Is this possible with a DocumentDB query?
This requires use of DocumentDB UDFs, which can extend query functionality with custom transformations. For example, register this:
function unwindTypeArray(value) {
var result = { id: value.id, name: value.name, types: []};
for (var idx in value.type) {
console.log(idx);
var name = value.type[idx].type.name;
result.types.push(name);
}
return result;
}
Then call it inside a query like:
SELECT udf.unwindTypeArray(c) FROM c WHERE c.name = "bulbasaur"
I'm working with Sabre REST API. I have a issue with the OTA_AirLowFareSearchRQ, I try limit the response number using the MaxResponses in the json structure but seems that I make something wrong because the response give to me 95 answers in the cert environment (https://api.cert.sabre.com/).
The json request that I use is:
{
"OTA_AirLowFareSearchRQ": {
"Target": "Production",
"PrimaryLangID": "ES",
"MaxResponses": "15",
"POS": {
"Source": [{
"RequestorID": {
"Type": "1",
"ID": "1",
"CompanyName": {}
}
}]
},
"OriginDestinationInformation": [{
"RPH": "1",
"DepartureDateTime": "2016-04-01T11:00:00",
"OriginLocation": {
"LocationCode": "BOG"
},
"DestinationLocation": {
"LocationCode": "CTG"
},
"TPA_Extensions": {
"SegmentType": {
"Code": "O"
}
}
}],
"TravelPreferences": {
"ValidInterlineTicket": true,
"CabinPref": [{
"Cabin": "Y",
"PreferLevel": "Preferred"
}],
"TPA_Extensions": {
"TripType": {
"Value": "Return"
},
"LongConnectTime": {
"Min": 780,
"Max": 1200,
"Enable": true
},
"ExcludeCallDirectCarriers": {
"Enabled": true
}
}
},
"TravelerInfoSummary": {
"SeatsRequested": [1],
"AirTravelerAvail": [{
"PassengerTypeQuantity": [{
"Code": "ADT",
"Quantity": 1
}]
}]
},
"TPA_Extensions": {
"IntelliSellTransaction": {
"RequestType": {
"Name": "10ITINS"
}
}
}
}
}
MaxResponses could be something for internal development which is part of the schema but does not affect the response.
What you can modify is in the IntelliSellTransaction. You used 10ITINS, but the values that will work should be 50ITINS, 100ITINS and 200ITINS.
EDIT2 (as Panagiotis Kanavos said):
RequestType values depend on the business agreement between your company and Sabre. You can't use 100 or 200 without modifying the agreement.
"TPA_Extensions": {
"IntelliSellTransaction": {
"RequestType": {
"Name": "50ITINS"
}
}
}
EDIT1:
I have searched a bit more and found:
OTA_AirLowFareSearchRQ.TravelPreferences.TPA_Extensions.NumTrips
Required: false
Type: object
Description: This element allows a user to specify the number of itineraries returned.
I'm new in lodash (v3.10.1), and having a hard time understanding.
Hope someone can help.
I have an input something like this:
{
{"id":1,"name":"Matthew","company":{"id":1,"name":"abc","industry":{"id":5,"name":"Medical"}}},
{"id":2,"name":"Mark","company":{"id":1,"name":"abc","industry":{"id":5,"name":"Medical"}}},
{"id":3,"name":"Luke","company":{"id":1,"name":"abc","industry":{"id":5,"name":"Medical"}}},
{"id":4,"name":"John","company":{"id":1,"name":"abc","industry":{"id":5,"name":"Medical"}}},
{"id":5,"name":"Paul","company":{"id":1,"name":"abc","industry":{"id":5,"name":"Medical"}}}
];
I would like to output this or close to this:
{
"industries": [
{
"industry":{
"id":5,
"name":"Medical",
"companies": [
{
"company":{
"id":1,
"name":"abc",
"employees": [
{"id":1,"name":"Matthew"},
{"id":2,"name":"Mark"},
{"id":3,"name":"Luke"},
{"id":4,"name":"John"},
{"id":5,"name":"Paul"}
]
}
}
]
}
}
]
}
Here's something that gets you close to what you want. I structured the output to be an object instead of an array. You don't need the industries or industry properties in your example output. The output structure looks like this:
{
"industry name": {
"id": "id of industry",
"companies": [
{
"company name": "name of company",
"id": "id of company",
"employees": [
{
"id": "id of company",
"name": "name of employee"
}
]
}
]
}
}
I use the _.chain function to wrap the collection with a lodash wrapper object. This enables me to explicitly chain lodash functions.
From there, I use the _.groupBy function to group elements of the collection by their industry name. Since I'm chaining, I don't have to pass in the array again to the function. It's implicitly passed via the lodash wrapper. The second argument of the _.groupBy is the path to the value I want to group elements by. In this case, it's the path to the industry name: company.industry.name. _.groupBy returns an object with each employee grouped by their industry (industries are keys for this object).
I then do use _.transform to transform each industry object. _.transform is essentially _.reduce except that the results returned from the _.transform function is always an object.
The function passed to the _.transform function gets executed against each key/value pair in the object. In the function, I use _.groupBy again to group employees by company. Based off the results of _.groupBy, I map the values to the final structure I want for each employee object.
I then call the _.value function because I want to unwrap the output collection from the lodash wrapper object.
I hope this made sense. If it doesn't, I highly recommend reading Lo-Dash Essentials. After reading the book, I finally got why lodash is so useful.
"use strict";
var _ = require('lodash');
var emps = [
{ "id": 1, "name": "Matthew", "company": { "id": 1, "name": "abc", "industry": { "id": 5, "name": "Medical" } } },
{ "id": 2, "name": "Mark", "company": { "id": 1, "name": "abc", "industry": { "id": 5, "name": "Medical" } } },
{ "id": 3, "name": "Luke", "company": { "id": 1, "name": "abc", "industry": { "id": 5, "name": "Medical" } } },
{ "id": 4, "name": "John", "company": { "id": 1, "name": "abc", "industry": { "id": 5, "name": "Medical" } } },
{ "id": 5, "name": "Paul", "company": { "id": 1, "name": "abc", "industry": { "id": 5, "name": "Medical" } } }
];
var result = _.chain(emps)
.groupBy("company.industry.name")
.transform(function(result, employees, industry) {
result[industry] = {};
result[industry].id = _.get(employees[0], "company.industry.id");
result[ industry ][ 'companies' ] = _.map(_.groupBy(employees, "company.name"), function( employees, company ) {
return {
company: company,
id: _.get(employees[ 0 ], 'company.id'),
employees: _.map(employees, _.partialRight(_.pick, [ 'id', 'name' ]))
};
});
return result;
})
.value();
Results from your example are as follows:
{
"Medical": {
"id": 5,
"companies": [
{
"company": "abc",
"id": 1,
"employees": [
{
"id": 1,
"name": "Matthew"
},
{
"id": 2,
"name": "Mark"
},
{
"id": 3,
"name": "Luke"
},
{
"id": 4,
"name": "John"
},
{
"id": 5,
"name": "Paul"
}
]
}
]
}
}
If you ever wanted the exact same structure as in the questions, I solved it using the jsonata library:
(
/* lets flatten it out for ease of accessing the properties*/
$step1 := $ ~> | $ |
{
"employee_id": id,
"employee_name": name,
"company_id": company.id,
"company_name": company.name,
"industry_id": company.industry.id,
"industry_name": company.industry.name
},
["company", "id", "name"] |;
/* now the magic begins*/
$step2 := {
"industries":
[($step1{
"industry" & $string(industry_id): ${
"id": $distinct(industry_id)#$I,
"name": $distinct(industry_name),
"companies": [({
"company" & $string(company_id): {
"id": $distinct(company_id),
"name": $distinct(company_name),
"employees": [$.{
"id": $distinct(employee_id),
"name": $distinct(employee_name)
}]
}
} ~> $each(function($v){ {"company": $v} }))]
}
} ~> $each(function($v){ {"industry": $v} }))]
};
)
You can see it in action on the live demo site: https://try.jsonata.org/VvW4uTRz_