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JSON API Test

JSON driven testing of JSON HTTP APIs (REST APIs). Uses JSON Schema for validation.

This is a test framework targeted at JSON HTTP REST APIs. It comes in the form of a Node.js package called jsonapitest that is available on the command line to run your tests. Tests are specified in JSON files and have the structure of test suites containing a set of tests. Each test contains a list of API calls (HTTP requests) with assertions about the response. All HTTP traffic is logged exhaustively by the test runner to help debug test failures. Any data (database records, user credentials etc.) that the tests need are specified in JSON format and this data is easily interpolated into the API calls. The test runner is configured with a base URL for your API, i.e. the URL to a local development/test server or a remote staging server.

Motivation

I had a REST API implemented in Node.js that I needed to test and I started out using Mocca and Supertest. Although this approach did the job I found the resulting code time consuming, messy, and complex. Also, I didn't like the fact that my tests were coupled to the implementation. I tried doing some semi automated testing with curl and although I appreciate the simplicity of curl the approach wasn't sufficiently structured and automated for my needs. What I was looking for was a declarative and black-box way to do API testing. Here are a few selling (and discussion) points:

  • Black box testing of APIs means the tests are not tied to the implementation behind the API (i.e. programming language, database etc.)
  • Black box testing will encourage you to design more complete and user friendly APIs (since you cannot easily poke at the implementation)
  • As test definitions are simple and pure data structures you are not tied to any particular test framework implementation. This means the test runner, the http client and the assertion engine could all be re-implemented and swapped out fairly easily.
  • The fact that you are constrainted to a simple JSON structure for tests will help keep your tests dumb and devoid of complicated logic. This makes maintenance easier.
  • Since test specifications are pure data they lend themselves well to building a testing UI or any API related documentation.
  • Debugging is helped by the verbose logging of HTTP requests and responses that the test runner provides
  • It's easy to point the test runner at different environments (i.e. test, development or staging servers)

Installation

npm install jsonapitest -g

Example

Specify your test in a JSON file:

{
  "config": {
    "log_path": "log/jsonapitest-results.json",
    "defaults": {
      "api_call": {
        "request": {
	        "method": "GET",
          "base_url": "https://api.some-hostname.com"
        }
      }
    }
  },
  "data": {
    "schema": {
      "user": {
        "type": "object",
        "properties": {
          "id": {"type": "integer"},
          "name": {"type": "string"},
          "email": {"type": "string", "format": "email"},
          "description": {"type": ["string", "null"]},
          "authentication_token": {"type": "string"}
        },
        "required": ["id", "name", "email"],
        "additionalProperties": false
      }
    },
    "users": {
      "member": {
        "id":1,
        "name":"Joe User",
        "email":"[email protected]",
        "role":"member",
        "authentication_token":"A9Gx5REcGP9NzXjFKMYM"
      }
  	}
  },
  "suites": [
  	{
  		"name": "users",
    	"tests": [
	      {
	        "name": "get_user_success",
	        "description": "Fetch info about a user",
	        "api_calls": [
	          {
	            "request": {
	              "path": "/v1/users/{{users.member.id}}"
	            },
	            "assert": [{
	              "select": "body",
	              "schema": "{{schema.user}}",
	              "equal_keys": {
	                "id": "{{users.member.id}}",
	                "email": "{{users.member.email}}"
	              }
	            }]
	          }
	        ]
	      },
	      {
	        "name": "get_user_missing",
	        "description": "Trying to fetch info about a user that doesn't exist",
	        "api_calls": [
	          {
	            "request": {
	              "path": "/v1/users/99999999"
	            },
	            "status": 404
	          }
	        ]
	      }
    	]
  	}
  ]
}

Run it:

jsonapitest path-to-your-test-file.json

Check out the Parse CRUD example for more sample code.

TODO

  • Documentation
    • Magic variables/operators
      • $merge
      • $run_id $ $api_call_id - can be used for example in an X-API-CALL-ID default header for debugging/tracking
    • Variable interpolation {{my_var}}
    • Short form request
      • Assertion types
        • status assertions
        • schema, equal, not_equal, contains, not_contains, length
      • Logging and debugging
      • Example using Parse REST API
  • modules
  • use strict
  • jshint
  • Blog post

Discussion

  • An extends property for api calls or a name property with the ability to reuse api calls?
  • Can we get a stack trace on ECONNREFUSED and other errors?
  • Should we really do double pass data interpolation of api calls, i.e. interpolate on the data itself? Maybe if we really need something like this would have something separate from the data (in config?) that is interpolated.
  • Check response times?
  • Ability to provide a custom request_client or logger that gets required and used (the plugin needs to be installed globally via npm?)
  • Useful to log curl statements?
  • Timeouts?
  • Use yuidoc?

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JSON driven test runner for REST APIs

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