mfrank2016 / zerocode

A community-developed, free, open source, declarative API automation and load testing framework built using Java JUnit core runners for Http REST, SOAP, Security, Database, Kafka and much more. It enables to create and maintain test-cases with absolute ease.

Zerocode

Automated API testing was never so easy before

Latest release: 1.3.x 🏹

Continuous Integration:
Issue Discussions: Slack
Mailing List: Mailing List
License: Apache 2.0
Gitter IM: Gitter

Zerocode makes it easy to create and maintain automated tests with absolute minimum overhead for REST,SOAP, Kafka, DB services and more. It has got best of best ideas and practices from the community to keep it super simple and the adoption is rapidly growing among the developer/tester community.

Quick Links

For a quick introduction to Zerocode and its features, visit the

• Zerocode Wiki
• User's guide

Introduction

Zerocode is a new light-weight, simple and extensible open-source framework for writing test intentions in simple JSON or YAML format that facilitates both declarative configuration and automation.

Put simply, Zerocode alleviates pain and brings simplicity to the moddern api-automation. The framework manages the response validations, target API invocations,load/stress testing and security testing in a unified way using simple YAML/JSON/Fluent steps aka DSL.

For example, if your REST API URL https://localhost:8080/api/v1/customers/123 with GET method and "Content-Type": "application/json" returns the following payload and a http status code 200(OK) ,

Response:
{
    "id": 123,
    "type": "Premium High Value",
    "addresses": [
        {
            "type":"home",
            "line1":"10 Random St"
        }
    ]
}

then, we can easily validate the above API using Zerocode like below.

• Using YAML described as below,

The beauty here is, we can use the payload/headers structure as it is without any manipulation.

---
url: api/v1/customers/123
method: GET
request:
  headers:
    Content-Type: application/json
retry:
  max: 3
  delay: 1000
verify:
  status: 200
  headers:
    Content-Type:
    - application/json; charset=utf-8
  body:
    id: 123
    type: Premium High Value
    addresses:
    - type: home
      line1: 10 Random St

or

• Using JSON DSL described as below,

{
  "url": "api/v1/customers/123",
  "method": "GET",
  "request": {
    "headers": {
      "Content-Type": "application/json"
    }
  },
  "retry": {
    "max": 3,
    "delay": 1000
  },
  "verify": {
    "status": 200,
    "headers": {
      "Content-Type" : [ "application/json; charset=utf-8" ]
    },
    "body": {
      "id": 123,
      "type": "Premium High Value",
      "addresses": [
        {
          "type": "home",
          "line1": "10 Random St"
        }
      ]
    }
  }
}

and run it simply by pointing to the above JSON/YAML file from a JUnit @Test method.

   @Test
   @Scenario("test_customer_get_api.yml")
   public void getCustomer_happyCase(){
        // No code goes here. This remains empty.
   }

Looks simple n easy? Why not give a try? Visit the quick-start guide or user's guide for more insight.

Zerocode is used by many companies such as Vocalink, HSBC, HomeOffice(Gov) and many others to achieve accurate production drop of their micro-services.

Happy testing! 🐼