Nowadays every one of us is facing REST APIs by either developing or consuming such a service. Also, we’re in the trendy era of microservices, where we splitting our business logic into small separate services independent from each one. Mostly these services follow RESTful principles and using the JSON format for communication, which became the most widely used format, because of its simplicity. - A command-line tool for HTTP tests over RESTful APIs pyhttptest This tool automate testing in a simple three steps. 1. Install the package pip pyhttptest install 2. Describe your HTTP Requests test cases against your API service in a simplest and widely used format JSON within a file. Single test case definition examples To send an HTTP GET Request Create a JSON file, for example, data/test_server_status.json { : , : , : , : , : { : }
} "name" "TEST: Get server status" "verb" "GET" "endpoint" "/get" "host" "https://httpbin.org" "headers" "Accept-Language" "en-US" To send an HTTP POST Request Create a JSON file, for example, data/test_create_html_bin.json { : , : , : , : , : { : }
} "name" "TEST: Create an HTML bin" "verb" "POST" "endpoint" "post" "host" "https://httpbin.org" "payload" "content" "Hello, world!" Multiple test cases definition example Create a JSON file, for example, data/requests.json [
  { : , : , : , : , : { : }, : { : }
  },
  { : , : , : , : , : { : , : }
  },
  { : , : , : , : , : { : }
  },
  { : , : , : , : }
] "name" "TEST: List all users" "verb" "GET" "endpoint" "api/v1/users" "host" "http://localhost:8085/" "headers" "Accept-Language" "en-US" "query_string" "limit" 1 "name" "TEST: Add a new user" "verb" "POST" "endpoint" "api/v1/users" "host" "http://localhost:8085/" "payload" "username" "pyhttptest" "email" "admin@pyhttptest.com" "name" "TEST: Modify an existing user" "verb" "PUT" "endpoint" "api/v1/users/XeEsscGqweEttXsgY" "host" "http://localhost:8085/" "payload" "username" "pyhttptest" "name" "TEST: Delete an existing user" "verb" "DELETE" "endpoint" "api/v1/users/XeEsscGqweEttXsgY" "host" "http://localhost:8085/" 3. Run command and gain report pyhttptest data/test_server_status.json execute The report from the single test case pyhttptest data/requests.json execute The report from the multiple test cases The properties, which you can pass to a . file are: json name - The name of the test case. verb - An HTTP Method. endpoint - The resource you want to invoke on the server. host - Server host address. headers - An HTTP Headers. All HTTP header are supported. fields query_string - Query string parameters in the URL after the question mark. payload - The data. Best practices One question may arise in your mind, how to add, structure and organize the test cases into my existing/new project. Every Python project, which has tests contains in his project directory a folder namely . tests/ From this directory by convention, great frameworks like and discover and execute defined test cases in Python scripts. To not mess up with these tests and break the conventions, I suggest creating a new directory in your project root directory named . unittest pytest live_tests/ Inside the new directory, you can put all . files with defined test cases for the API. By doing this your tests will be easily distinguished. But it’s really up to you! json

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