API metadata and schema tool for generating tests and documentation
Project description
Acceptable is python tool to annotate and capture the metadata around your python web API. This metadata can be used for validation, documentation, testing and linting of your API code.
It works standalone, or can be hooked into Flask (beta support for Django) web apps for richer integration.
Design Goals:
Tightly couple code, metadata, and documentation to reduce drift and increase DRY.
Validation of JSON input and output
Provide tools for developers to make safe changes to APIs
Make it easy to generate API documentation.
Tools for generating testing doubles from the API metadata.
Usage
And example, for flask:
from acceptable import AcceptableService service = AcceptableService('example') foo_api = service.api('foo', '/foo', introduced_at=1, methods=['POST']) foo_api.request_schema = <JSON Schema...> foo_api.response_schema = <JSON Schema...> foo_api.changelog(3, 'Changed other thing') foo_api.changelog(2, 'Changed something') @foo_api def view(): ...
You can use this metadata to bind the URL to a flask app:
from acceptable import get_metadata() app = Flask(__name__) get_metadata().bind_all(app)
You can now generate API metadata like so:
acceptable metadata your.import.path > api.json
This metadata can now be used to generate documentation, and provide API linting.
Django
Note: Django support is very limited at the minute, and is mainly for documentation.
Marking up the APIs themselves is a little different:
from acceptable import AcceptableService service = AcceptableService('example') # url is looked up from name, like reverse() foo_api = service.django_api('app:foo', introduced_at=1) foo_api.django_form = SomeForm foo_api.changelog(3, 'Changed other thing) foo_api.changelog(2, 'Changed something') @foo_api.handler class MyHandler(BaseHandler): allowed_methods=['POST'] ...
Acceptable will generate a JSON schema representation of the form for documentation.
To generate API metadata, you should add ‘acceptable’ to INSTALLED_APPS. This will provide an ‘acceptable’ management command:
./manage.py acceptable metadata > api.json # generate metadata
And also:
./manage.py acceptable api-version api.json # inspect the current version
Documentation (beta)
One of the goals of acceptable is to use the metadata about your API to build documentation.
Once you have your metadata in JSON format, as above, you can transform that into markdown documentation:
acceptable render api.json --name 'My Service'
You can do this in a single step:
acceptable metadata path/to/files*.py | acceptable render --name 'My Service'
This markdown is designed to rendered to html by documentation-builder <https://docs.ubuntu.com/documentation-builder/en/>:
documentation-builder --base-directory docs
Includable Makefile
If you are using make files to automate your build you might find this useful.
The acceptable package contains a make file fragment that can be included to give you the following targets:
api-lint - Checks backward compatibility and version numbers;
api-update-metadata - Check like api-lint then update the saved metadata;
api-version - Print the saved metadata and current API version;
api-docs-markdown - Generates markdown documentation.
The make file has variables for the following which you can override if needed:
ACCEPTABLE_ENV - The virtual environment with acceptable installed, it defaults to $(ENV).
ACCEPTABLE_METADATA - The saved metadata filename, it defaults to api.json;
ACCEPTABLE_DOCS - The directory api-docs-markdown will generate documentation under, it defaults to docs.
You will need to create a saved metadata manually the first time using acceptable metadata command and saving it to the value of ACCEPTABLE_METADATA.
The make file assumes the following variables:
ACCEPTABLE_MODULES is a space separated list of modules containing acceptable annotated services;
ACCEPTABLE_SERVICE_TITLE is the title of the service used by api-docs-markdown.
ACCEPTABLE_SERVICE_TITLE should not be quoted e.g.:
ACCEPTABLE_SERVICE_TITLE := Title of the Service
To include the file you’ll need to get its path, if the above variables and conditions exist you can put this in your make file:
include $(shell $(ENV)/bin/python -c 'import pkg_resources; print(pkg_resources.resource_filename("acceptable", "make/Makefile.acceptable"))' 2> /dev/null)
Development
make test and make tox should run without errors.
To run a single test module invoke:
python setup.py test --test-suite acceptable.tests.test_module
or:
tox -epy38 -- --test-suite acceptable.tests.test_module
…the latter runs “test_module” against Python 3.8 only.
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