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A declarative test framework for quickly and easily writing integration tests against JSON APIs.

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curl-runnings

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Feel the rhythm! Feel the rhyme! Get on up, it's testing time! curl-runnings!

A common form of black-box API testing boils down to simply making requests to an endpoint and verifying properties of the response. curl-runnings aims to make writing tests like this fast and easy.

curl-runnings is a framework for writing declarative tests for your APIs in a fashion equivalent to performing curls and verifying the responses. Write your tests quickly and correctly with a straight-forward specification in Dhall, yaml, or json that can encode simple but powerful matchers against responses.

Alternatively, you can use the curl-runnings library to write your tests in Haskell (though a Haskell setup is absolutely not required to use this tool).

Installing

Binaries are available on the Releases section of the GitHub page.

You can also compile from source with stack.

Writing a test specification

Curl runnings tests are just data! A test spec is an object containing an array of cases, where each item represents a single curl and set of assertions about the response. Write your tests specs in a Dhall, yaml or json file. Note: the legacy format of a top level array of test cases is still supported, but may not be in future releases.

let JSON = https://prelude.dhall-lang.org/JSON/package.dhall

let CurlRunnings = ./dhall/curl-runnings.dhall

in   CurlRunnings.hydrateCase
        CurlRunnings.Case::{
        , expectData = Some
            ( CurlRunnings.ExpectData.Exactly
                ( JSON.object
                    [ { mapKey = "okay", mapValue = JSON.bool True },
                      { mapKey = "message", mapValue = JSON.string "a message" }]
                )
            )
        , expectStatus = 200
        , name = "test 1"
        , requestMethod = CurlRunnings.HttpMethod.GET
        , url = "http://your-endpoing.com/status"
        }
---
# example-test.yaml
#
# specify all your test cases as an array keys on `cases`
cases:
  - name: A curl runnings test case
    url: http://your-endpoint.com/status
    requestMethod: GET
    # Specify the json payload we expect here
    expectData:
      # The 1 key in this object specifies the matcher we want
      # to use to test the returned payload. In this case, we
      # require the payload is exactly what we specify.
      exactly:
        okay: true
        msg: 'a message'
    # Assertions about the returned status code. Pass in
    # an acceptable code or list of codes
    expectStatus: 200

See /examples for more example curl runnings specifications, which walk through some of the other features that can be encoded in your tests such as:

  • reference data from previous responses of previous test cases
  • reference environment variables
  • various easy-to-use json matchers
  • support for importing data from other yaml files in your spec

Running

Once you've written a spec, simply run it with:

curl-runnings -f path/to/your/spec.yaml

(hint: try using the --verbose flag for more output)

If all your tests pass, curl-runnings will cleanly exit with a 0 code. A code of 1 will be returned if any tests failed.

You can also select specific test cases by filtering via regex by using the --grep flag. Just make sure your case isn't referencing data from previous examples that won't get run!

For more info:

curl-runnings --help

Running With Docker

A dockerfile is included in the root of the project. The Dockerfile will expect the linux based curl-runnings executable in the same directory as the Dockerfile and a tests.yml file. You can download the latest executable from the release page : https://github.com/aviaviavi/curl-runnings/releases .

docker build . -t curl-runnings-tests

docker run curl-runnings-tests

If you use docker-compose, you can add this to docker-compose.yml:

tests:
    build:
      context: .
      dockerfile: ./Dockerfile

Contributing

Contributions in any form are welcome and encouraged. Don't be shy! :D

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A declarative test framework for quickly and easily writing integration tests against JSON APIs.

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