.. Gabbi documentation master file, created by sphinx-quickstart on Wed Dec 31 17:07:32 2014. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. .. toctree:: :maxdepth: 1 :hidden: format loader example jsonpath host fixtures handlers runner release faq gabbi Gabbi ===== .. highlight:: yaml Gabbi is a tool for running HTTP tests where requests and responses are expressed as declarations in YAML files:: tests: - name: retrieve items GET: /items See the rest of these docs for more details on the many features and formats for setting request headers and bodies and evaluating responses. Tests can be run from the command line with :doc:`gabbi-run ` or programmatically using either py.test or :ref:`unittest `-style test runners. See :ref:`installation instructions ` below. The name is derived from "gabby": excessively talkative. In a test environment having visibility of what a test is actually doing is a good thing. This is especially true when the goal of a test is to test the HTTP, not the testing infrastructure. Gabbi tries to put the HTTP interaction in the foreground of testing. If you want to get straight to creating tests look at :doc:`example`, the test files in the `source distribution`_ and :doc:`format`. A `gabbi-demo`_ repository provides a tutorial of using gabbi to build an API, via the commit history of the repo. .. _source distribution: https://github.com/cdent/gabbi .. _gabbi-demo: https://github.com/cdent/gabbi-demo Purpose ------- .. highlight:: none Gabbi works to bridge the gap between human readable YAML files (see :doc:`format` for details) that represent HTTP requests and expected responses and the rather complex world of automated testing. Each YAML file represents an ordered list of HTTP requests along with the expected responses. This allows a single file to represent a process in the API being tested. For example: * Create a resource. * Retrieve a resource. * Delete a resource. * Retrieve a resource again to confirm it is gone. At the same time it is still possible to ask gabbi to run just one request. If it is in a sequence of tests, those tests prior to it in the YAML file will be run (in order). In any single process any test will only be run once. Concurrency is handled such that one file runs in one process. These features mean that it is possible to create tests that are useful for both humans (as tools for learning, improving and developing APIs) and automated CI systems. Significant flexibility and power is available in the :doc:`format` to make it relatively straightforward to test existing complex APIs. This extended functionality includes the use of `JSONPath`_ to query response bodies and templating of test data to allow access to the prior HTTP response in the current request. For APIs which do not use JSON additional :doc:`handlers` can be created. Care should be taken when using this functionality when you are creating a new API. If your API is so complex that it needs complex test files then you may wish to take that as a sign that your API itself too complex. One goal of gabbi is to encourage transparent and comprehensible APIs. Though gabbi is written in Python and under the covers uses ``unittest`` data structures and processes, there is no requirement that the :doc:`host` be a Python-based service. Anything talking HTTP can be tested. A :doc:`runner` makes it possible to simply create YAML files and point them at a running server. .. _JSONPath: http://goessner.net/articles/JsonPath/ .. _installation: Installation ------------ As a Python package, gabbi is typically installed via pip:: pip install gabbi You might want to create a virtual environment; an isolated context for Python packages, keeping gabbi cleany separated from the rest of your system. Python 3 comes with a built-in tool to create virtual environments:: python3 -m venv venv . venv/bin/activate pip install gabbi This way we can later use ``deactivate`` and safely remove the ``venv`` directory, thus erasing any trace of gabbi from the system. If you prefer to not install gabbi, or perhaps want to use it in a dynamic fashion in a CI setting, there is an official container image hosted at `docker hub`_ as ``cdent/gabbi``. It allows running :doc:`gabbi-run ` with any arguments you might need, providing tests on STDIN of via a mounted volume. .. _docker hub: https://hub.docker.com/repository/docker/cdent/gabbi .. _virtualenv: https://virtualenv.pypa.io