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* Update schema generation doc & add deprecation notice #8453 * Update docs/topics/documenting-your-api.md Co-authored-by: Tom Christie <tom@tomchristie.com> * Update docs/topics/documenting-your-api.md Co-authored-by: Tom Christie <tom@tomchristie.com> * Update docs/topics/documenting-your-api.md Co-authored-by: Tom Christie <tom@tomchristie.com> Co-authored-by: T. Franzel <13507857+tfranzel@users.noreply.github.com> Co-authored-by: Asif Saif Uddin <auvipy@gmail.com> Co-authored-by: Tom Christie <tom@tomchristie.com>
459 lines
16 KiB
Markdown
459 lines
16 KiB
Markdown
---
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source:
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- schemas
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---
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# Schema
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> A machine-readable [schema] describes what resources are available via the API, what their URLs are, how they are represented and what operations they support.
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>
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> — Heroku, [JSON Schema for the Heroku Platform API][cite]
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---
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**Deprecation notice:**
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REST framework's built-in support for generating OpenAPI schemas is
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**deprecated** in favor of 3rd party packages that can provide this
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functionality instead. The built-in support will be moved into a separate
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package and then subsequently retired over the next releases.
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As a full-fledged replacement, we recommend the [drf-spectacular] package.
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It has extensive support for generating OpenAPI 3 schemas from
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REST framework APIs, with both automatic and customisable options available.
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For further information please refer to
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[Documenting your API](../topics/documenting-your-api.md#drf-spectacular).
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---
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API schemas are a useful tool that allow for a range of use cases, including
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generating reference documentation, or driving dynamic client libraries that
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can interact with your API.
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Django REST Framework provides support for automatic generation of
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[OpenAPI][openapi] schemas.
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## Overview
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Schema generation has several moving parts. It's worth having an overview:
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* `SchemaGenerator` is a top-level class that is responsible for walking your
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configured URL patterns, finding `APIView` subclasses, enquiring for their
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schema representation, and compiling the final schema object.
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* `AutoSchema` encapsulates all the details necessary for per-view schema
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introspection. Is attached to each view via the `schema` attribute. You
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subclass `AutoSchema` in order to customize your schema.
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* The `generateschema` management command allows you to generate a static schema
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offline.
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* Alternatively, you can route `SchemaView` to dynamically generate and serve
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your schema.
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* `settings.DEFAULT_SCHEMA_CLASS` allows you to specify an `AutoSchema`
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subclass to serve as your project's default.
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The following sections explain more.
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## Generating an OpenAPI Schema
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### Install dependencies
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pip install pyyaml uritemplate
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* `pyyaml` is used to generate schema into YAML-based OpenAPI format.
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* `uritemplate` is used internally to get parameters in path.
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### Generating a static schema with the `generateschema` management command
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If your schema is static, you can use the `generateschema` management command:
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```bash
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./manage.py generateschema --file openapi-schema.yml
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```
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Once you've generated a schema in this way you can annotate it with any
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additional information that cannot be automatically inferred by the schema
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generator.
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You might want to check your API schema into version control and update it
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with each new release, or serve the API schema from your site's static media.
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### Generating a dynamic schema with `SchemaView`
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If you require a dynamic schema, because foreign key choices depend on database
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values, for example, you can route a `SchemaView` that will generate and serve
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your schema on demand.
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To route a `SchemaView`, use the `get_schema_view()` helper.
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In `urls.py`:
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```python
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from rest_framework.schemas import get_schema_view
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urlpatterns = [
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# ...
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# Use the `get_schema_view()` helper to add a `SchemaView` to project URLs.
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# * `title` and `description` parameters are passed to `SchemaGenerator`.
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# * Provide view name for use with `reverse()`.
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path('openapi', get_schema_view(
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title="Your Project",
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description="API for all things …",
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version="1.0.0"
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), name='openapi-schema'),
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# ...
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]
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```
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#### `get_schema_view()`
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The `get_schema_view()` helper takes the following keyword arguments:
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* `title`: May be used to provide a descriptive title for the schema definition.
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* `description`: Longer descriptive text.
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* `version`: The version of the API.
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* `url`: May be used to pass a canonical base URL for the schema.
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schema_view = get_schema_view(
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title='Server Monitoring API',
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url='https://www.example.org/api/'
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)
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* `urlconf`: A string representing the import path to the URL conf that you want
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to generate an API schema for. This defaults to the value of Django's
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`ROOT_URLCONF` setting.
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schema_view = get_schema_view(
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title='Server Monitoring API',
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url='https://www.example.org/api/',
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urlconf='myproject.urls'
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)
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* `patterns`: List of url patterns to limit the schema introspection to. If you
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only want the `myproject.api` urls to be exposed in the schema:
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schema_url_patterns = [
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path('api/', include('myproject.api.urls')),
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]
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schema_view = get_schema_view(
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title='Server Monitoring API',
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url='https://www.example.org/api/',
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patterns=schema_url_patterns,
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)
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* `public`: May be used to specify if schema should bypass views permissions. Default to False
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* `generator_class`: May be used to specify a `SchemaGenerator` subclass to be
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passed to the `SchemaView`.
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* `authentication_classes`: May be used to specify the list of authentication
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classes that will apply to the schema endpoint. Defaults to
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`settings.DEFAULT_AUTHENTICATION_CLASSES`
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* `permission_classes`: May be used to specify the list of permission classes
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that will apply to the schema endpoint. Defaults to
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`settings.DEFAULT_PERMISSION_CLASSES`.
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* `renderer_classes`: May be used to pass the set of renderer classes that can
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be used to render the API root endpoint.
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## SchemaGenerator
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**Schema-level customization**
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```python
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from rest_framework.schemas.openapi import SchemaGenerator
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```
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`SchemaGenerator` is a class that walks a list of routed URL patterns, requests
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the schema for each view and collates the resulting OpenAPI schema.
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Typically you won't need to instantiate `SchemaGenerator` yourself, but you can
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do so like so:
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generator = SchemaGenerator(title='Stock Prices API')
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Arguments:
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* `title` **required**: The name of the API.
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* `description`: Longer descriptive text.
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* `version`: The version of the API. Defaults to `0.1.0`.
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* `url`: The root URL of the API schema. This option is not required unless the schema is included under path prefix.
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* `patterns`: A list of URLs to inspect when generating the schema. Defaults to the project's URL conf.
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* `urlconf`: A URL conf module name to use when generating the schema. Defaults to `settings.ROOT_URLCONF`.
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In order to customize the top-level schema, subclass
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`rest_framework.schemas.openapi.SchemaGenerator` and provide your subclass
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as an argument to the `generateschema` command or `get_schema_view()` helper
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function.
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### get_schema(self, request=None, public=False)
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Returns a dictionary that represents the OpenAPI schema:
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generator = SchemaGenerator(title='Stock Prices API')
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schema = generator.get_schema()
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The `request` argument is optional, and may be used if you want to apply
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per-user permissions to the resulting schema generation.
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This is a good point to override if you want to customize the generated
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dictionary For example you might wish to add terms of service to the [top-level
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`info` object][info-object]:
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```
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class TOSSchemaGenerator(SchemaGenerator):
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def get_schema(self, *args, **kwargs):
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schema = super().get_schema(*args, **kwargs)
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schema["info"]["termsOfService"] = "https://example.com/tos.html"
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return schema
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```
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## AutoSchema
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**Per-View Customization**
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```python
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from rest_framework.schemas.openapi import AutoSchema
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```
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By default, view introspection is performed by an `AutoSchema` instance
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accessible via the `schema` attribute on `APIView`.
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auto_schema = some_view.schema
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`AutoSchema` provides the OpenAPI elements needed for each view, request method
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and path:
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* A list of [OpenAPI components][openapi-components]. In DRF terms these are
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mappings of serializers that describe request and response bodies.
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* The appropriate [OpenAPI operation object][openapi-operation] that describes
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the endpoint, including path and query parameters for pagination, filtering,
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and so on.
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```python
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components = auto_schema.get_components(...)
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operation = auto_schema.get_operation(...)
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```
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In compiling the schema, `SchemaGenerator` calls `get_components()` and
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`get_operation()` for each view, allowed method, and path.
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----
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**Note**: The automatic introspection of components, and many operation
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parameters relies on the relevant attributes and methods of
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`GenericAPIView`: `get_serializer()`, `pagination_class`, `filter_backends`,
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etc. For basic `APIView` subclasses, default introspection is essentially limited to
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the URL kwarg path parameters for this reason.
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----
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`AutoSchema` encapsulates the view introspection needed for schema generation.
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Because of this all the schema generation logic is kept in a single place,
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rather than being spread around the already extensive view, serializer and
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field APIs.
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Keeping with this pattern, try not to let schema logic leak into your own
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views, serializers, or fields when customizing the schema generation. You might
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be tempted to do something like this:
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```python
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class CustomSchema(AutoSchema):
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"""
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AutoSchema subclass using schema_extra_info on the view.
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"""
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...
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class CustomView(APIView):
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schema = CustomSchema()
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schema_extra_info = ... some extra info ...
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```
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Here, the `AutoSchema` subclass goes looking for `schema_extra_info` on the
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view. This is _OK_ (it doesn't actually hurt) but it means you'll end up with
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your schema logic spread out in a number of different places.
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Instead try to subclass `AutoSchema` such that the `extra_info` doesn't leak
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out into the view:
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```python
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class BaseSchema(AutoSchema):
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"""
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AutoSchema subclass that knows how to use extra_info.
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"""
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...
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class CustomSchema(BaseSchema):
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extra_info = ... some extra info ...
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class CustomView(APIView):
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schema = CustomSchema()
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```
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This style is slightly more verbose but maintains the encapsulation of the
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schema related code. It's more _cohesive_ in the _parlance_. It'll keep the
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rest of your API code more tidy.
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If an option applies to many view classes, rather than creating a specific
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subclass per-view, you may find it more convenient to allow specifying the
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option as an `__init__()` kwarg to your base `AutoSchema` subclass:
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```python
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class CustomSchema(BaseSchema):
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def __init__(self, **kwargs):
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# store extra_info for later
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self.extra_info = kwargs.pop("extra_info")
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super().__init__(**kwargs)
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class CustomView(APIView):
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schema = CustomSchema(
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extra_info=... some extra info ...
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)
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```
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This saves you having to create a custom subclass per-view for a commonly used option.
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Not all `AutoSchema` methods expose related `__init__()` kwargs, but those for
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the more commonly needed options do.
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### `AutoSchema` methods
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#### `get_components()`
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Generates the OpenAPI components that describe request and response bodies,
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deriving their properties from the serializer.
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Returns a dictionary mapping the component name to the generated
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representation. By default this has just a single pair but you may override
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`get_components()` to return multiple pairs if your view uses multiple
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serializers.
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#### `get_component_name()`
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Computes the component's name from the serializer.
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You may see warnings if your API has duplicate component names. If so you can override `get_component_name()` or pass the `component_name` `__init__()` kwarg (see below) to provide different names.
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#### `get_reference()`
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Returns a reference to the serializer component. This may be useful if you override `get_schema()`.
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#### `map_serializer()`
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Maps serializers to their OpenAPI representations.
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Most serializers should conform to the standard OpenAPI `object` type, but you may
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wish to override `map_serializer()` in order to customize this or other
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serializer-level fields.
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#### `map_field()`
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Maps individual serializer fields to their schema representation. The base implementation
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will handle the default fields that Django REST Framework provides.
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For `SerializerMethodField` instances, for which the schema is unknown, or custom field subclasses you should override `map_field()` to generate the correct schema:
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```python
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class CustomSchema(AutoSchema):
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"""Extension of ``AutoSchema`` to add support for custom field schemas."""
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def map_field(self, field):
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# Handle SerializerMethodFields or custom fields here...
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# ...
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return super().map_field(field)
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```
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Authors of third-party packages should aim to provide an `AutoSchema` subclass,
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and a mixin, overriding `map_field()` so that users can easily generate schemas
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for their custom fields.
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#### `get_tags()`
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OpenAPI groups operations by tags. By default tags taken from the first path
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segment of the routed URL. For example, a URL like `/users/{id}/` will generate
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the tag `users`.
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You can pass an `__init__()` kwarg to manually specify tags (see below), or
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override `get_tags()` to provide custom logic.
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#### `get_operation()`
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Returns the [OpenAPI operation object][openapi-operation] that describes the
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endpoint, including path and query parameters for pagination, filtering, and so
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on.
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Together with `get_components()`, this is the main entry point to the view
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introspection.
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#### `get_operation_id()`
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There must be a unique [operationid](openapi-operationid) for each operation.
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By default the `operationId` is deduced from the model name, serializer name or
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view name. The operationId looks like "listItems", "retrieveItem",
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"updateItem", etc. The `operationId` is camelCase by convention.
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#### `get_operation_id_base()`
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If you have several views with the same model name, you may see duplicate
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operationIds.
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In order to work around this, you can override `get_operation_id_base()` to
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provide a different base for name part of the ID.
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#### `get_serializer()`
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If the view has implemented `get_serializer()`, returns the result.
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#### `get_request_serializer()`
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By default returns `get_serializer()` but can be overridden to
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differentiate between request and response objects.
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#### `get_response_serializer()`
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By default returns `get_serializer()` but can be overridden to
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differentiate between request and response objects.
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### `AutoSchema.__init__()` kwargs
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`AutoSchema` provides a number of `__init__()` kwargs that can be used for
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common customizations, if the default generated values are not appropriate.
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The available kwargs are:
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* `tags`: Specify a list of tags.
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* `component_name`: Specify the component name.
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* `operation_id_base`: Specify the resource-name part of operation IDs.
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You pass the kwargs when declaring the `AutoSchema` instance on your view:
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```
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class PetDetailView(generics.RetrieveUpdateDestroyAPIView):
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schema = AutoSchema(
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tags=['Pets'],
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component_name='Pet',
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operation_id_base='Pet',
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)
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...
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```
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Assuming a `Pet` model and `PetSerializer` serializer, the kwargs in this
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example are probably not needed. Often, though, you'll need to pass the kwargs
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if you have multiple view targeting the same model, or have multiple views with
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identically named serializers.
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If your views have related customizations that are needed frequently, you can
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create a base `AutoSchema` subclass for your project that takes additional
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`__init__()` kwargs to save subclassing `AutoSchema` for each view.
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[cite]: https://blog.heroku.com/archives/2014/1/8/json_schema_for_heroku_platform_api
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[openapi]: https://github.com/OAI/OpenAPI-Specification
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[openapi-specification-extensions]: https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#specification-extensions
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[openapi-operation]: https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#operationObject
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[openapi-tags]: https://swagger.io/specification/#tagObject
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[openapi-operationid]: https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#fixed-fields-17
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[openapi-components]: https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#componentsObject
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[openapi-reference]: https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#referenceObject
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[openapi-generator]: https://github.com/OpenAPITools/openapi-generator
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[swagger-codegen]: https://github.com/swagger-api/swagger-codegen
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[info-object]: https://swagger.io/specification/#infoObject
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[drf-spectacular]: https://drf-spectacular.readthedocs.io/en/latest/readme.html
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