I am trying to read a json payload from a file and setting the values from CSV file using scenario outline and examples - karate

Question

I have a sample json file as below
{
book : {bookId : '<bookId>' ,
bookName : '<bookName>'
},
staff : {
sfattid : '<sfattid>',
name : '<name>'
},
libraryMember : {
libMembId : '<libMembId>',
name : '<libraryMember>'
}
}
I have a csv file with below information
I want to set the values for each variable from csv file and set the REST request 3 times during run time .
Feature: scenario outline using a dynamic table
from a csv file
Scenario Outline: staffname name: <name>
# When json payload = {book : {bookId : '<bookId>' , bookName : '<bookName>',},staff : {sfattid : '<sfattid>', name : '<name>'},libraryMember : { libMembId : '<libMembId>' ,name : '<libraryMember>'}}
When json payload = read("request.json")
Given url 'http://localhost:8089/'
And path 'returnBook'
And request payload
When method post
Then status 200
Then match karate.jsonPath(response,"$.status") == '<status>'
Examples:
| read('bookreturn.csv') |
I have wrote below code which works perfectly but in below case the same json payload is present in feature file which I want to keep in a text file .Please suggest some code .
Feature: scenario outline using a dynamic table
from a csv file
Scenario Outline: staffname name: <name>
# When json payload = {book : {bookId : '<bookId>' , bookName : '<bookName>',},staff : {sfattid : '<sfattid>', name : '<name>'},libraryMember : { libMembId : '<libMembId>' ,name : '<libraryMember>'}}
When json payload = read("request.json")
Given url 'http://localhost:8089/'
And path 'returnBook'
And request payload
When method post
Then status 200
Then match karate.jsonPath(response,"$.status") == '<status>'
Examples:
| read('bookreturn.csv') |

Answer 1

Sorry, you can't optimize this any further because for <name> to work it has to be within the feature file itself. Personally I think you are un-necessarily trying to over-engineer your tests. There is nothing wrong with what you have already.
If you really insist - here is the alternative, refer: https://github.com/intuit/karate#data-driven-features
* def books = read('bookreturn.csv')
* def result = call read('called.feature') books
But you will need to use 2 feature files. Each book in the loop can be used in embedded expressions. So you can read from a JSON file, and any embedded expressions in the file will work.
Just stick to what you have, seriously !