hi i have this string { "data": [ { "name": "Lorena Trujillo", "id": "500144123" }, { "name": "George Arcila", "id": "520311359" }, { "name": "Laura Victoria Mu\u00f1oz Rincon", "id": "528543677" }, { "name": "Camilo Andres Santacoloma Mejia", "id": "529547832" }],"paging": { "next": "https://graph.facebook.com/537223119/friends?access_token=AAAAAAITEghMBAI7cZBdbAHt3ZC24esi4ZA6O6kFdwU1H0ekDmGQGRZCUZAVW3T6W6fzg50jHsdfsdfsfdsfdsfzdixf1RrTFLzV96ZBWXAZDZD&limit=5000&offset=5000&__after_id=1000456456455" }
}
and y need extract the substring between [ and ] i use the next code
NSRange startRange = [strFriends rangeOfString:#"["];
NSRange endRange = [strFriends rangeOfString:#"]"];
NSString *formData = [strFriends substringWithRange:NSMakeRange(startRange.location,endRange.location)];
NSLog(#"this is the data %#",formData);
and the result is
[ { "name": "Lorena Trujillo", "id": "500144123" }, { "name": "George Arcila", "id": "520311359" }, { "name": "Laura Victoria Mu\u00f1oz Rincon", "id": "528543677" }, { "name": "Camilo Andres Santacoloma Mejia", "id": "529547832" }],"pagin
any idea why these last characters appear ,"pagin thank you very much
This is because startRange location and endRange location both point to the location within the string - but subStringWithRange takes a location and a length - so you need to calculate the length of the string you want to extract. Like this:
NSUInteger dataLength = endrange.location - startRange.location;
NSString *formData = [strFriends substringWithRange:NSMakeRange(startRange.location,dataLength)];
Besides that, you really need a JSON parser for parsing JSON. Picking out small substrings like this is going to be a lot of work and brittle.
As driis mentioned in the comments you should use a JSON parser to handle this data. To answer your question you are seing "pagin" because a range has a location and a length not 2 locations. Try
NSMakeRange(startRange.location,endRange.location - startRange.location)
Related
I would like to get the value from the response based on a condition and store it to a variable.
In the below JSON, I would like to store the value when the name matches to something I prefer. Is there a way to achieve this using Karate API?
{
"results": [
{
"name": "Sample1",
"email": "sample1#text.com",
"id": "U-123"
},
{
"name": "Sample2",
"email": "sample2#text.com",
"id": "U-456"
},
{
"name": "Sample3",
"email": "sample3#text.com",
"id": "U-789"
}
]
}
So after reading the comment, my interpretation is to "find" the id where name is Sample2. Easy, just use a filter() operation, refer the docs: https://github.com/karatelabs/karate#jsonpath-filters
Instead of using a filter, I'm using the JS Array find() method as a very concise example below:
* def response =
"""
{ "results": [
{ "name": "Sample1", "email": "sample1#text.com", "id": "U-123" },
{ "name": "Sample2", "email": "sample2#text.com", "id": "U-456" },
{ "name": "Sample3", "email": "sample3#text.com", "id": "U-789" }
]
}
"""
* def id = response.results.find(x => x.name == 'Sample2').id
* match id == 'U-456'
Take some time to understand how it works. Talk to someone who knows JS if needed.
Hi Can someone help me simulate this scenario, Example this is the response I got, I want to extract all alertId with the name parameter contains test. You response is highly appreciated. Thank you so much.
Response:
[
{
"duplicateCount": 0,
"fqdn": "qa-ubuntu14-4",
"appName": "TEST_APD_UB14",
"stateString": "OPEN",
"category": "FILESCAN",
"alkey": {
"agentId": "8470ea64-a710-3e46-ba6b-ccd37ebc4074",
"role": "AD SERVER",
"alertId": "0258a7ca-bc72-3a53-aa98-3098c87411ba",
"id": "6695a7fa-ab9f-43fa-871b-620cd1eeb75054af7770-604b-11e9-b486-8d59ab9344597cea0ea2-d897-3696-852d-5f3cb36f270e8470ea64-a710-3e46-ba6b-ccd37ebc4074/var/log/test321.txttest321.txtA",
"applicationContextId": "7cea0ea2-d897-3696-852d-5f3cb36f270e"
},
"properties": {
"name": "test321.txt",
"acl": ""
}
},
{
"duplicateCount": 0,
"fqdn": "qa-ubuntu14-4",
"appName": "TEST_APD_UB18",
"stateString": "OPEN",
"category": "FILESCAN",
"alkey": {
"agentId": "8470ea64-a710-3e46-ba6b-ccd37ebc4074",
"role": "AD SERVER",
"alertId": "0258a7ca-bc72-3a53-aa98-3098c8741CDA",
"id": "6695a7fa-ab9f-43fa-871b-620cd1eeb75054af7770-604b-11e9-b486-8d59ab9344597cea0ea2-d897-3696-852d-5f3cb36f270e8470ea64-a710-3e46-ba6b-ccd37ebc4074/var/log/test321.txttest321.txtA",
"applicationContextId": "7cea0ea2-d897-3696-852d-5f3cb36f270e"
},
"properties": {
"name": "test555.txt",
"acl": ""
}
}
]
Screenshot:
Expected Result:
I want to extract all alertId with the name parameter contains test
You could use the following JSON query to extract the values:
[*].[?(#.properties.name contains 'test')]alkey.agentId
I found this reference with JSON Path Syntax is really useful.
i have a adaptive card choice set like below, as you can see am trying to get the value under title from a variable which is an array, is there a way i can iterate the choice set automatically because i don't know how many values the array has i want to show all the values inside the array in the choice set title
{
"type" : "Input.ChoiceSet",
"isMultiSelect": true,
"id": "myColor",
"style": "compact",
"value": "1",
"choices": [
{
"title": vars.responsedata.items[0].topic,
"value": "1"
},
{
"title": vars.responsedata.items[1].topic,
"value": "2"
},
{
"title": "Recording 3 sample",
"value": "3"
}
]
}
You can use the map() function.
Example in DataWeave:
{
choices: vars.responsedata.items map {
title: $.topic,
value: $$
}
}
[
{
"key": "test1",
"category": "test",
"name": "test1",
"translations":
{
"english": "eng"
}
},
{
"key": "test2",
"category": "test",
"name": "test1",
"translations":
{
"english": "eng2",
"german": "German"
}
},
{
"key": "test3",
"category": "power",
"name": "test1",
"translations":
{
"EN_lang": "jik"
}
}
]
Here, we have multiple field's are with different values and we have to match value in translations (field position will change on every call)
You have to be clear about what you want to assert. Hint, the new contains deep (available in 0.9.6.RC4) can help:
* match response contains deep { key: 'test2', translations: { english: 'eng2' } }
Else you should look at transforming the JSON into a shape where it is easier to do the assertions you want: https://github.com/intuit/karate#json-transforms
After reading the documentation, testing and reading a lot of other questions here on stackoverflow:
We have documents that have titles and description in multiple languages. There are also tags that are translated to the same languages. There might be up to 30-40 different languages in the system, but probably only 3 or 4 translations for a single document.
This is the planned document structure:
{
"luck": {
"id": 10018,
"pub": 0,
"pr": 100002,
"loc": {
"lat": 42.7,
"lon": 84.2
},
"t": [
{
"lang": "en-analyzer",
"title": "Forest",
"desc": "A lot of trees.",
"tags": [
"Wood",
"Nature",
"Green Mouvement"
]
},
{
"lang": "fr-analyzer",
"title": "Forêt",
"desc": "A grand nombre d'arbre.",
"tags": [
"Bois",
"Nature",
"Mouvement Vert"
]
}
],
"dates": [
"2014-01-01T20:00",
"2014-06-06T20:00",
"2014-08-08T20:00"
]
}
}
Possible queries are "arbre" or "wood" or "forest" or "nature" combined with a date and a geo_distance filter, furthermore there will be some facets over the tags array (that obviously include counting).
We can produce any document structure that fits best for elasticsearch (or for lucene). It's crucial that each language is analyzed specifically, so we use "_analyzer" in order to distinguish the languages.
{
"luck": {
"properties": {
"id": {
"type": "long"
},
"pub": {
"type": "long"
},
"pr": {
"type": "long"
},
"loc": {
"type": "geo_point"
},
"t": {
"_analyzer": {
"path": "t.lang"
},
"properties": {
"lang": {
"type": "string"
},
"properties": {
"title": {
"type": "string"
},
"desc": {
"type": "string"
},
"tags": {
"type": "string"
}
}
}
}
}
}
A) Apparently, this idea does not work: after PUTting the mapping, we retrieve the same mapping ("GET") and it seems to ignore the specific analyzers (A test with a top-level "_analyzer" worked fine). Does "_analyzer" work for sub-documents and if yes how to should we refer to it? We also tested declaring the sub-document as "object" or "nested". How is multi-language document indexing supposed to work.
B) One possibility would be to put each language in its own document: In that case how do we manage the id? Finally both documents should refer to the same id. For example if the user searches for "nature" (and we don't know if the user intends to find "nature" in English or French), this document would appear twice in the result set, and the counting and paging would be very wrong (also facet counting).
Any ideas?