explorer api testing

APIGit

2023-05-01

explorer api testing

Explorer the code-able api testing

How do I test my api?

Before learning about API testing, I used to create an API by filling in the path and parameters, and then send a request to check the results. As a QA, I would write a test report. However, since each API is independent, I had to initialize the testing environment each time before starting a new test.

With API testing using tools like Apitgit, I just need to provide a simple code, which generates the testing report automatically. Additionally, we can save the response and use it in another request to test the real logic of the system. This saves time and effort in the testing process.

Start an api test

To start API testing, navigate to the Test Cases section in your repository and click the + button. Fill in the path name with a string such as myfirsttest/getUser. In this example, myfirstname is the folder name, and getUser is the test case name. If you are adding another test case, you can choose the folder you want without having to fill in the folder name again. While in the example we put several test cases in one file, you can make it simpler by organizing each test case in a separate file.

Create an api testing folder and testcase file

The structure of a testcase file

Sample code in file "myfirsttest/addPet".

[
    {
        "type": "code",
        "description": "initialization",
        "parameters": {
            "code": "var baseUrl = env.get(\"baseUrl\");\nif (baseUrl == null) {\n    state.baseUrl = \"http://petstore.mock.apigit.com\";\n    //env.set(\"baseUrl\", \"http://petstore.mock.apigit.com\")\n}"
        }
    },
  {
    "type": "http",
    "description": "place an order for a pet",
    "parameters": {
      "method": "post",
      "url": "{baseUrl}/store/order",
      "query": [],
      "auth": {
        "type": "none"
      },
      "header": [
        {
          "name": "content-type",
          "value": "application/json",
          "enabled": true
        }
      ],
      "body": {
        "type": "application/json",
        "data": "{\n  \"id\": 11,\n  \"petId\": 198772,\n  \"quantity\": 7,\n  \"shipDate\": \"2023-01-14T19:25:54.211Z\",\n  \"status\": \"approved\",\n  \"complete\": true\n}"
      },
      "postTest": "if (!res || res.status !== 200) {\n    failed(\"place purchae order failed\")\n    return;\n}\n\nvar order = res.data;\nstate.orderId = order.id;"
    }
  }
]

This is an amazing design. The code is structured in JSON format. It is a JSON array that contains several JSON objects. In software engineering terms, this structure resembles a function. The test case file name represents the function name, and each JSON object represents a line of executable code. The file is compiled as follows:

exports.addPet = function () {
    //first JSON object
    var baseUrl = env.get("baseUrl");if (baseUrl == null) {state.baseUrl = "http://petstore.mock.apigit.com";}
    //second JSON object
    var res = post(body);if (!res || res.status !== 200) {failed("place purchae order failed");return;}var order = res.data;state.orderId = order.id;
};

For more information, you can visit Api Testing Doc. It is an amazing testing tool that can be used not only to test APIs with mock servers but also to test real servers.