pyramid-marshmallow is a simple Pyramid plugin that allows you to validate and marshal a JSON HTTP request or response using Marshmallow schemas. You can then leverage this to automatically generate an OpenAPI specification for your API.
Version 0.5 and greater requires Marshmallow 3.x. For Marshmallow 2.x, use version 0.4.
Install the project with pip install pyramid-marshmallow
.
Activate it by adding config.include('pyramid_marshmallow')
into your config function or adding pyramid.includes = pyramid_marshmallow
into your ini file.
To validate incoming data, set validate
to a Marshmallow schema in your view_config
.
The request body is parsed as JSON then passed through the schema's load
function.
You can access the processed data with request.data
.
from marshmallow import Schema, String
class HelloSchema(Schema):
name = String()
@view_config(
context=Root,
name='hello',
request_method='post',
validate=HelloSchema(),
)
def hello(context, request):
return Response(body='Hello, {}'.format(
request.data['name']
))
For GET requests, the URL parameters are passed into the schema. Value lists are not currently supported.
Setting marshal
in your view_config
will run the view output through marshmallow (i.e. Schema.dump
) before going to the renderer.
You probably will want to set the renderer to json
.
@view_config(
context=Root,
name='hello',
request_method='get',
marshal=HelloSchema(),
renderer='json',
)
def hello(context, request):
name = fetch_name()
return {
'name': name,
}
validate
and marshal
operate independently, so can be used separately or together.
As a convenience, you can pass in a dictionary to validate
or marshal
and pyramid-marshmallow will turn it into a schema for you.
@view_config(
context=Root,
name='hello',
request_method='post',
validate={
'name': String(),
},
)
You can also get a schema made from a dictionary by using Marshmallow's Schema.from_dict
classmethod.
This can be useful for Nested
fields.
pyramid-marshmallow passes through exceptions from marshmallow.
So errors during validation will raise a marshmallow.exceptions.ValidationError
exception.
(Documentation)
You may want to attach a view to this exception to expose the error messages to the user.
@view_config(
context=ValidationError,
renderer='json',
)
def validation_error(context, request):
request.response.status = 401 # HTTP Bad Request
return {
'errors': context.normalized_messages(),
}
By adding validation and marshalling to your views, we have the opportunity to utilize that data to generate documentation. pyramid-marshmallow includes an utility that uses apispec to generate an OpenAPI specification for your application.
First, you'll need to install some extra dependencies.
pip install pyramid-marshmallow[openapi]
Before you generate the OpenAPI spec, you'll need to add openapi.title
(your application name), openapi.version
(your application version), and openapi.openapi_version
(the OpenAPI Specification version) to the Pyramid settings.
If you use paste-style configuration, this might look like this:
[app:main]
use = egg:myproject
openapi.title = My Project
openapi.version = 1.0
openapi.openapi_version = 3.1.1
You can generate your spec by calling the generate-spec
command with your application as the first argument, formatted as [module]:[name]
.
generate-spec myproject:app
If you configure your application via an ini file (Paste), you can also use that.
generate-spec --ini development.ini
This will output the spec to stdout as JSON.
You can set the --output
flag to output the results to a file.
You can set --format yaml
to output the spec as YAML instead or --format html
to output the spec as an HTML file, powered by ReDoc.
Documentation will be autogenerated from the structure of your Pyramid app and your validate
and marshal
declarations.
You can document schema fields by setting the description
property.
class Hello(Schema):
name = String(required=True, description='Your first and last name.')
The first line of a view callable's docstring will be used as the summary
property.
The following lines will be used for the description
.
Documentation for the endpoint will be pulled from the view callable's docstring.
The first line becomes the summary
and the remaining lines become the description
.
You can also a line with three hyphens followed by a YAML object. This will be merged with the auto-generated operation object and can be used to manually augment the spec.
@view_config(
context=WidgetResource,
method='post',
validate=WidgetSchema(),
)
def create_widget(context, request):
"""
Create new widget
Creates a new widget with an attached plumbus.
---
responses:
201:
description: Indicates the widget was successfully created.
"""
widget.make()
return HTTPCreated()
You can also pass a dictionary as the api_spec
property to Configurator.add_view
or @view_config
, which will be merged with the spec in the same way.
This can be advantageous if a single function services multiple views.
@view_config(
context=WidgetResource,
method='post',
validate=WidgetSchema(),
api_spec={
'summary': 'Create widget',
},
)
@view_config(
context=WidgetResource,
method='put',
validate=WidgetSchema(),
api_spec={
'summary': 'Update widget',
},
)
def create_widget(context, request):
"""
Create/update new widget
---
responses:
201:
description: Indicates the widget was successfully created.
"""
widget.create_or_update()
return HTTPCreated()
If you're using Pyramid's URL traversal, the generated spec may be mostly empty.
This is because pyramid-marshmallow has no way of knowing where in the resource tree a resource is.
You can denote this by setting the __path__
property on each resource.
class Widget(Resource):
__path__ = '/widget'
Views attached to this resource will then be added to the spec.
You can add parameters to your path via the __params__
property.
You can also tag all attached views via __tag__
.
Once you define a tag in one resource, you can use it elsewhere by setting __tag__
to the tag name.
class Widget(Resource):
__path__ = '/widget/{widgetId}'
__params__ = [{
'name': 'widgetId',
'schema': {
'type': 'integer',
},
}]
__tag__ = {
'name': 'widgets',
'description': 'Endpoints for managing a widget.',
}
You likely will wish to augment your API spec with a description, additional components, and more.
This can be achieved with a mergefile.
Write a YAML file with the parts of the spec you wish to augment and pass the filename as the --merge
flag with generate-spec
.
You can also reference a package resource in the format [package]:[path]
.
The file will be loaded and merged into the generated spec.
You can use the --merge
flag multiple times to merge in multiple files.
You can also add a merge file by adding the path to the openapi.merge
setting in your Pyramid application.
Multiple mergefiles can be separated with a comma.
It may be that not all endpoints are made available to all users. For example, you may have all endpoints available internally but only select ones available publicly. You would then want separate API docs for internal users versus external users. This can be achieved using zones.
Tag each endpoint by setting api_zone
in Configuration.add_view
or @view_config
.
By default, all endpoints regardless of zone will be added to the spec.
Set the --zone
flag in generate-spec
to only put endpoints assigned to that zone in the spec.
pyramid-apispec allows you to augment view callable docstrings with OpenAPI definitions and can reference Marshmallow schemas with the apispec Marshmallow plugin. It does not support validating input and marshalling output. Schemas and routes must be manually declared.
Cornice supports validation with Marshmallow schemas, however only on Cornice resources, not arbitrary Pyramid endpoints. It does not support auto-generating OpenAPI documentation.