The reason this package exists is to give you peace of mind when providing a RESTful API. Instead of chasing down preventable bugs and saying sorry to consumers, you can focus on more important things in life.

• Your API documentation is never out-of-date, since it is generated out of the API document that you write.
• The documentation comes with try-it-out examples for every endpoint in your API. You don't have to provide (and maintain) curl commands to showcase how your API works. Users can try it themselves, right in their browsers.
• Your API document is always valid, since your Pyramid app won't even start if the document does not comply with the OpenAPI 3.0 specification.
• Automatic request payload validation and sanitization. Your views do not require any code for validation and input sanitation. Your view code only deals with business logic. Tons of tests never need to be written since every request, and its payload, is validated against your API document before it reaches your view code.
• Your API responses always match your API document. Every response from your view is validated against your document and a 500 Internal Server Error is returned if the response does not exactly match what your document says the output of a certain API endpoint should be. This decreases the effects of Hyrum's Law.
• A single source of truth. Because of the checks outlined above, you can be sure that whatever your API document says is in fact what is going on in reality. You have a single source of truth to consult when asking an API related question, such as "Remind me again, which fields are returned by the endpoint /user/info?".
• Based on Pyramid, a mature Python Web framework. Companies such as Mozilla, Yelp, RollBar and SurveyMonkey trust Pyramid, and the new pypi.org runs on Pyramid, too. Pyramid is thoroughly tested and documented, providing flexibility, performance, and a large ecosystem of high-quality add-ons.

• Validates your API document (for example, openapi.yaml or openapi.json) against the OpenAPI 3.0 specification using the openapi-spec-validator.
• Generates and serves the Swagger try-it-out documentation for your API.
• Validates incoming requests and outgoing responses against your API document using openapi-core.

1. Declare pyramid_openapi3 as a dependency in your Pyramid project.

2. Include the following lines:

   config.include("pyramid_openapi3")
   config.pyramid_openapi3_spec('openapi.yaml', route='/api/v1/openapi.yaml')
   config.pyramid_openapi3_add_explorer(route='/api/v1/')

3. Use the openapi view predicate to enable request/response validation:

   @view_config(route_name="foobar", openapi=True, renderer='json')
   def myview(request):
       return request.openapi_validated.parameters

For requests, request.openapi_validated is available with two fields: parameters and body. For responses, if the payload does not match the API document, an exception is raised.

A feature introduced in OpenAPI3 is the ability to use $ref links to external files (https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#reference-object).

To use this, you must ensure that you have all of your spec files in a given directory (ensure that you do not have any code in this directory as all the files in it are exposed as static files), then replace the pyramid_openapi3_spec call that you did in Getting Started with the following:

config.pyramid_openapi3_spec_directory('path/to/openapi.yaml', route='/api/v1/spec')

Some notes:

• Do not set the route of your pyramid_openapi3_spec_directory to the same value as the route of pyramid_openapi3_add_explorer.
• The route that you set for pyramid_openapi3_spec_directory should not contain any file extensions, as this becomes the root for all of the files in your specified filepath.
• You cannot use pyramid_openapi3_spec_directory and pyramid_openapi3_spec in the same app.

Provided with pyramid_openapi3 are a few validation features:

• incoming request validation (i.e., what a client sends to your app)
• outgoing response validation (i.e., what your app sends to a client)
• endpoint validation (i.e., your app registers routes for all defined API endpoints)

These features are enabled as a default, but you can disable them if you need to:

config.registry.settings["pyramid_openapi3.enable_endpoint_validation"] = False
config.registry.settings["pyramid_openapi3.enable_request_validation"] = False
config.registry.settings["pyramid_openapi3.enable_response_validation"] = False

You can register routes in your pyramid application. First, write the x-pyramid-route-name extension in the PathItem of the OpenAPI schema.

paths:
  /foo:
    x-pyramid-route-name: foo_route
    get:
      responses:
        200:
          description: GET foo

Then put the config directive pyramid_openapi3_register_routes in the app_factory of your application.

config.pyramid_openapi3_register_routes()

This is equal to manually writing the following:

config.add_route("foo_route", pattern="/foo")

The pyramid_openapi3_register_routes() method supports setting a factory and route prefix as well. See the source for details.

Sometimes, it is necessary to specify the protocol and port to access the openapi3 spec file. This can be configured using the proto_port optional parameter to the the pyramid_openapi3_add_explorer function:

config.pyramid_openapi3_add_explorer(proto_port=('https', 443))

There are three examples provided with this package:

• A fairly simple single-file app providing a Hello World API.
• A slightly more built-out app providing a TODO app API.
• Another TODO app API, defined using a YAML spec split into multiple files.

All examples come with tests that exhibit pyramid_openapi's error handling and validation capabilities.

A fully built-out app, with 100% test coverage, providing a RealWorld.io API is available at niteoweb/pyramid-realworld-example-app. It is a Heroku-deployable Pyramid app that provides an API for a Medium.com-like social app. You are encouraged to use it as a scaffold for your next project.

The authors of pyramid_openapi3 believe that the approach of validating a manually-written API document is superior to the approach of generating the API document from Python code. Here are the reasons:

1. Both generation and validation against a document are lossy processes. The underlying libraries running the generation/validation will always have something missing. Either a feature from the latest OpenAPI specification, or an implementation bug. Having to fork the underlying library in order to generate the part of your API document that might only be needed for the frontend is unfortunate.

   Validation on the other hand allows one to skip parts of validation that are not supported yet, and not block a team from shipping the document.

2. The validation approach does sacrifice DRY-ness, and one has to write the API document and then the (view) code in Pyramid. It feels a bit redundant at first. However, this provides a clear separation between the intent and the implementation.

3. The generation approach has the drawback of having to write Python code even for parts of the API document that the Pyramid backend does not handle, as it might be handled by a different system, or be specific only to documentation or only to the client side of the API. This bloats your Pyramid codebase with code that does not belong there.

You need to have poetry and Python 3.10 & 3.12 installed on your machine. All Makefile commands assume you have the Poetry environment activated, i.e. poetry shell.

Alternatively, if you use nix, run nix-shell to drop into a shell that has everything prepared for development.

Then you can run:

make tests

These packages tackle the same problem-space:

• pyramid_oas3 seems to do things very similarly to pyramid_openapi3, but the documentation is not in English and we sadly can't fully understand what it does by just reading the code.
• pyramid_swagger does a similar thing, but for Swagger 2.0 documents.
• connexion takes the same "write spec first, code second" approach as pyramid_openapi3, but is based on Flask.
• bottle-swagger takes the same "write spec first, code second" approach too, but is based on Bottle.
• pyramid_apispec uses generation with help of apispec and the marshmallow validation library. See above why we prefer validation instead of generation.

We do our best to follow the rules below.

• Support the latest few releases of Python, currently Python 3.10 through 3.12.
• Support the latest few releases of Pyramid, currently 1.10.7 through 2.0.2.
• Support the latest few releases of openapi-core, currently just 0.19.0.
• See poetry.lock for a frozen-in-time known-good-set of all dependencies.

A couple of projects that use pyramid_openapi3 in production:

• Pareto Security Team Dashboard API - Team Dashboard for Pareto Security macOS security app.
• SEO Domain Finder API - A tool for finding expired domains with SEO value.
• Rankalyzer.io - Monitor SEO changes and strategies of competitors to improve your search traffic.
• Kafkai API - User control panel for Kafkai text generation service.
• Open on-chain data API - Decentralised exchange and blockchain trading data open API.
• Mayet RX - Vendor management system for pharma/medical clinical trials.