Module `aws_lambda_powertools.event_handler.openapi.models`

Global variables

var MODEL_CONFIG_IGNORE: The code defines Pydantic models for the various OpenAPI objects like OpenAPI, PathItem, Operation, Parameter etc. These models can be used to parse OpenAPI JSON/YAML files into Python objects, or generate OpenAPI from Python data.

Classes

class APIKey (**data: Any)

Expand source code

class APIKey(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type")
    in_: APIKeyIn = Field(alias="in")
    name: str

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var in_ : APIKeyIn
var model_config
var name : str
var type_ : SecuritySchemeType

class APIKeyIn (*args, **kwds)

Expand source code

class APIKeyIn(Enum):
    query = "query"
    header = "header"
    cookie = "cookie"

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:

Color.RED

value lookup:

Color(1)

name lookup:

Color['RED']

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

Ancestors

enum.Enum

Class variables

var cookie
var header
var query

class Components (**data: Any)

Expand source code

class Components(BaseModel):
    schemas: Optional[Dict[str, Union[Schema, Reference]]] = None
    responses: Optional[Dict[str, Union[Response, Reference]]] = None
    parameters: Optional[Dict[str, Union[Parameter, Reference]]] = None
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    requestBodies: Optional[Dict[str, Union[RequestBody, Reference]]] = None
    headers: Optional[Dict[str, Union[Header, Reference]]] = None
    securitySchemes: Optional[Dict[str, Union[SecurityScheme, Reference]]] = None
    links: Optional[Dict[str, Union[Link, Reference]]] = None
    # Using Any for Specification Extensions
    callbacks: Optional[Dict[str, Union[Dict[str, PathItem], Reference, Any]]] = None
    pathItems: Optional[Dict[str, Union[PathItem, Reference]]] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var callbacks : Dict[str, Dict[str, PathItem] | Reference | Any] | None
var examples : Dict[str, Example | Reference] | None
var headers : Dict[str, Header | Reference] | None
var links : Dict[str, Link | Reference] | None
var model_config
var parameters : Dict[str, Parameter | Reference] | None
var pathItems : Dict[str, PathItem | Reference] | None
var requestBodies : Dict[str, RequestBody | Reference] | None
var responses : Dict[str, Response | Reference] | None
var schemas : Dict[str, Schema | Reference] | None
var securitySchemes : Dict[str, APIKey | HTTPBase | OAuth2 | OpenIdConnect | HTTPBearer | MutualTLS | Reference] | None

class Contact (**data: Any)

Expand source code

class Contact(BaseModel):
    name: Optional[str] = None
    url: Optional[AnyUrl] = None
    email: Optional[str] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var email : str | None
var model_config
var name : str | None
var url : pydantic.networks.AnyUrl | None

class Discriminator (**data: Any)

Expand source code

class Discriminator(BaseModel):
    propertyName: str
    mapping: Optional[Dict[str, str]] = None

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var mapping : Dict[str, str] | None
var model_config
var propertyName : str

class Encoding (**data: Any)

Expand source code

class Encoding(BaseModel):
    contentType: Optional[str] = None
    headers: Optional[Dict[str, Union["Header", Reference]]] = None
    style: Optional[str] = None
    explode: Optional[bool] = None
    allowReserved: Optional[bool] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var allowReserved : bool | None
var contentType : str | None
var explode : bool | None
var headers : Dict[str, Header | Reference] | None
var model_config
var style : str | None

class Example (**data: Any)

Expand source code

class Example(BaseModel):
    summary: Optional[str] = None
    description: Optional[str] = None
    value: Optional[Any] = None
    externalValue: Optional[AnyUrl] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var description : str | None
var externalValue : pydantic.networks.AnyUrl | None
var model_config
var summary : str | None
var value : Any | None

class ExternalDocumentation (**data: Any)

Expand source code

class ExternalDocumentation(BaseModel):
    description: Optional[str] = None
    url: AnyUrl

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var description : str | None
var model_config
var url : pydantic.networks.AnyUrl

class HTTPBase (**data: Any)

Expand source code

class HTTPBase(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.http, alias="type")
    scheme: str

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Subclasses

HTTPBearer

Class variables

var model_config
var scheme : str
var type_ : SecuritySchemeType

class HTTPBearer (**data: Any)

Expand source code

class HTTPBearer(HTTPBase):  # type: ignore[override]
    scheme: Literal["bearer"] = "bearer"
    bearerFormat: Optional[str] = None

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

HTTPBase
SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var bearerFormat : str | None
var model_config
var scheme : Literal['bearer']

class Header (**data: Any)

Expand source code

class Header(ParameterBase):
    pass

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

ParameterBase
pydantic.main.BaseModel

Class variables

var model_config

class Info (**data: Any)

Expand source code

class Info(BaseModel):
    title: str
    description: Optional[str] = None
    termsOfService: Optional[str] = None
    contact: Optional[Contact] = None
    license: Optional[License] = None  # noqa: A003
    version: str
    summary: Optional[str] = None

    model_config = MODEL_CONFIG_IGNORE

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var contact : Contact | None
var description : str | None
var license : License | None
var model_config
var summary : str | None
var termsOfService : str | None
var title : str
var version : str

class License (**data: Any)

Expand source code

class License(BaseModel):
    name: str
    identifier: Optional[str] = None
    url: Optional[AnyUrl] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var identifier : str | None
var model_config
var name : str
var url : pydantic.networks.AnyUrl | None

class Link (**data: Any)

Expand source code

class Link(BaseModel):
    operationRef: Optional[str] = None
    operationId: Optional[str] = None
    parameters: Optional[Dict[str, Union[Any, str]]] = None
    requestBody: Optional[Union[Any, str]] = None
    description: Optional[str] = None
    server: Optional[Server] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var description : str | None
var model_config
var operationId : str | None
var operationRef : str | None
var parameters : Dict[str, Any | str] | None
var requestBody : Any | str | None
var server : Server | None

class MediaType (**data: Any)

Expand source code

class MediaType(BaseModel):
    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    encoding: Optional[Dict[str, Encoding]] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var encoding : Dict[str, Encoding] | None
var examples : Dict[str, Example | Reference] | None
var model_config
var schema_ : Schema | Reference | None

class MutualTLS (**data: Any)

Expand source code

class MutualTLS(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.mutualTLS, alias="type")

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var model_config
var type_ : SecuritySchemeType

class OAuth2 (**data: Any)

Expand source code

class OAuth2(SecurityBase):
    type_: SecuritySchemeType = Field(default=SecuritySchemeType.oauth2, alias="type")
    flows: OAuthFlows

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var flows : OAuthFlows
var model_config
var type_ : SecuritySchemeType

class OAuthFlow (**data: Any)

Expand source code

class OAuthFlow(BaseModel):
    refreshUrl: Optional[str] = None
    scopes: Dict[str, str] = {}

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var model_config
var refreshUrl : str | None
var scopes : Dict[str, str]

class OAuthFlowAuthorizationCode (**data: Any)

Expand source code

class OAuthFlowAuthorizationCode(OAuthFlow):
    authorizationUrl: str
    tokenUrl: str

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OAuthFlow
pydantic.main.BaseModel

Class variables

var authorizationUrl : str
var model_config
var tokenUrl : str

class OAuthFlowClientCredentials (**data: Any)

Expand source code

class OAuthFlowClientCredentials(OAuthFlow):
    tokenUrl: str

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OAuthFlow
pydantic.main.BaseModel

Class variables

var model_config
var tokenUrl : str

class OAuthFlowImplicit (**data: Any)

Expand source code

class OAuthFlowImplicit(OAuthFlow):
    authorizationUrl: str

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OAuthFlow
pydantic.main.BaseModel

Class variables

var authorizationUrl : str
var model_config

class OAuthFlowPassword (**data: Any)

Expand source code

class OAuthFlowPassword(OAuthFlow):
    tokenUrl: str

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OAuthFlow
pydantic.main.BaseModel

Class variables

var model_config
var tokenUrl : str

class OAuthFlows (**data: Any)

Expand source code

class OAuthFlows(BaseModel):
    implicit: Optional[OAuthFlowImplicit] = None
    password: Optional[OAuthFlowPassword] = None
    clientCredentials: Optional[OAuthFlowClientCredentials] = None
    authorizationCode: Optional[OAuthFlowAuthorizationCode] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var authorizationCode : OAuthFlowAuthorizationCode | None
var clientCredentials : OAuthFlowClientCredentials | None
var implicit : OAuthFlowImplicit | None
var model_config
var password : OAuthFlowPassword | None

class OpenAPI (**data: Any)

Expand source code

class OpenAPI(OpenAPIExtensions):
    openapi: str
    info: Info
    jsonSchemaDialect: Optional[str] = None
    servers: Optional[List[Server]] = None
    # Using Any for Specification Extensions
    paths: Optional[Dict[str, Union[PathItem, Any]]] = None
    webhooks: Optional[Dict[str, Union[PathItem, Reference]]] = None
    components: Optional[Components] = None
    security: Optional[List[Dict[str, List[str]]]] = None
    tags: Optional[List[Tag]] = None
    externalDocs: Optional[ExternalDocumentation] = None

    model_config = MODEL_CONFIG_ALLOW

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var components : Components | None
var externalDocs : ExternalDocumentation | None
var info : Info
var jsonSchemaDialect : str | None
var model_config
var openapi : str
var paths : Dict[str, PathItem | Any] | None
var security : List[Dict[str, List[str]]] | None
var servers : List[Server] | None
var tags : List[Tag] | None
var webhooks : Dict[str, PathItem | Reference] | None

class OpenAPIExtensions (**data: Any)

Expand source code

class OpenAPIExtensions(BaseModel):
    """
    This class serves as a Pydantic proxy model to add OpenAPI extensions.

    OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping
    and add only the provided value in the schema.
    """

    openapi_extensions: Optional[Dict[str, Any]] = None

    # If the 'openapi_extensions' field is present in the 'values' dictionary,
    # And if the extension starts with x- (must respect the RFC)
    # update the 'values' dictionary with the contents of 'openapi_extensions',
    # and then remove the 'openapi_extensions' field from the 'values' dictionary
    model_config = {"extra": "allow"}

    @model_validator(mode="before")
    def serialize_openapi_extension_v2(self):
        if isinstance(self, dict) and self.get("openapi_extensions"):

            openapi_extension_value = self.get("openapi_extensions")

            for extension_key in openapi_extension_value:
                if not str(extension_key).startswith("x-"):
                    raise SchemaValidationError("An OpenAPI extension key must start with x-")

            self.update(openapi_extension_value)
            self.pop("openapi_extensions", None)

        return self

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Subclasses

OpenAPI
Operation
SecurityBase
Server

Class variables

var model_config
var openapi_extensions : Dict[str, Any] | None

Methods

def serialize_openapi_extension_v2(self)

Expand source code

@model_validator(mode="before")
def serialize_openapi_extension_v2(self):
    if isinstance(self, dict) and self.get("openapi_extensions"):

        openapi_extension_value = self.get("openapi_extensions")

        for extension_key in openapi_extension_value:
            if not str(extension_key).startswith("x-"):
                raise SchemaValidationError("An OpenAPI extension key must start with x-")

        self.update(openapi_extension_value)
        self.pop("openapi_extensions", None)

    return self

class OpenIdConnect (**data: Any)

Expand source code

class OpenIdConnect(SecurityBase):
    type_: SecuritySchemeType = Field(
        default=SecuritySchemeType.openIdConnect,
        alias="type",
    )
    openIdConnectUrl: str

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

SecurityBase
OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var model_config
var openIdConnectUrl : str
var type_ : SecuritySchemeType

class Operation (**data: Any)

Expand source code

class Operation(OpenAPIExtensions):
    tags: Optional[List[str]] = None
    summary: Optional[str] = None
    description: Optional[str] = None
    externalDocs: Optional[ExternalDocumentation] = None
    operationId: Optional[str] = None
    parameters: Optional[List[Union[Parameter, Reference]]] = None
    requestBody: Optional[Union[RequestBody, Reference]] = None
    # Using Any for Specification Extensions
    responses: Optional[Dict[int, Union[Response, Any]]] = None
    callbacks: Optional[Dict[str, Union[Dict[str, "PathItem"], Reference]]] = None
    deprecated: Optional[bool] = None
    security: Optional[List[Dict[str, List[str]]]] = None
    servers: Optional[List[Server]] = None

    model_config = MODEL_CONFIG_ALLOW

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var callbacks : Dict[str, Dict[str, PathItem] | Reference] | None
var deprecated : bool | None
var description : str | None
var externalDocs : ExternalDocumentation | None
var model_config
var operationId : str | None
var parameters : List[Parameter | Reference] | None
var requestBody : RequestBody | Reference | None
var responses : Dict[int, Response | Any] | None
var security : List[Dict[str, List[str]]] | None
var servers : List[Server] | None
var summary : str | None
var tags : List[str] | None

class Parameter (**data: Any)

Expand source code

class Parameter(ParameterBase):
    name: str
    in_: ParameterInType = Field(alias="in")

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

ParameterBase
pydantic.main.BaseModel

Class variables

var in_ : ParameterInType
var model_config
var name : str

class ParameterBase (**data: Any)

Expand source code

class ParameterBase(BaseModel):
    description: Optional[str] = None
    required: Optional[bool] = None
    deprecated: Optional[bool] = None
    # Serialization rules for simple scenarios
    style: Optional[str] = None
    explode: Optional[bool] = None
    allowReserved: Optional[bool] = None
    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    # Serialization rules for more complex scenarios
    content: Optional[Dict[str, MediaType]] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Subclasses

Header
Parameter

Class variables

var allowReserved : bool | None
var content : Dict[str, MediaType] | None
var deprecated : bool | None
var description : str | None
var examples : Dict[str, Example | Reference] | None
var explode : bool | None
var model_config
var required : bool | None
var schema_ : Schema | Reference | None
var style : str | None

class ParameterInType (*args, **kwds)

Expand source code

class ParameterInType(Enum):
    query = "query"
    header = "header"
    path = "path"
    cookie = "cookie"

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:

Color.RED

value lookup:

Color(1)

name lookup:

Color['RED']

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

Ancestors

enum.Enum

Class variables

var cookie
var header
var path
var query

class PathItem (**data: Any)

Expand source code

class PathItem(BaseModel):
    ref: Optional[str] = Field(default=None, alias="$ref")
    summary: Optional[str] = None
    description: Optional[str] = None
    get: Optional[Operation] = None
    put: Optional[Operation] = None
    post: Optional[Operation] = None
    delete: Optional[Operation] = None
    options: Optional[Operation] = None
    head: Optional[Operation] = None
    patch: Optional[Operation] = None
    trace: Optional[Operation] = None
    servers: Optional[List[Server]] = None
    parameters: Optional[List[Union[Parameter, Reference]]] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var delete : Operation | None
var description : str | None
var get : Operation | None
var head : Operation | None
var model_config
var options : Operation | None
var parameters : List[Parameter | Reference] | None
var patch : Operation | None
var post : Operation | None
var put : Operation | None
var ref : str | None
var servers : List[Server] | None
var summary : str | None
var trace : Operation | None

class Reference (**data: Any)

Expand source code

class Reference(BaseModel):
    ref: str = Field(alias="$ref")

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var model_config
var ref : str

class RequestBody (**data: Any)

Expand source code

class RequestBody(BaseModel):
    description: Optional[str] = None
    content: Dict[str, MediaType]
    required: Optional[bool] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var content : Dict[str, MediaType]
var description : str | None
var model_config
var required : bool | None

class Response (**data: Any)

Expand source code

class Response(BaseModel):
    description: str
    headers: Optional[Dict[str, Union[Header, Reference]]] = None
    content: Optional[Dict[str, MediaType]] = None
    links: Optional[Dict[str, Union[Link, Reference]]] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var content : Dict[str, MediaType] | None
var description : str
var headers : Dict[str, Header | Reference] | None
var links : Dict[str, Link | Reference] | None
var model_config

class Schema (**data: Any)

Expand source code

class Schema(BaseModel):
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-the-json-schema-core-vocabu
    # Core Vocabulary
    schema_: Optional[str] = Field(default=None, alias="$schema")
    vocabulary: Optional[str] = Field(default=None, alias="$vocabulary")
    id: Optional[str] = Field(default=None, alias="$id")  # noqa: A003
    anchor: Optional[str] = Field(default=None, alias="$anchor")
    dynamicAnchor: Optional[str] = Field(default=None, alias="$dynamicAnchor")
    ref: Optional[str] = Field(default=None, alias="$ref")
    dynamicRef: Optional[str] = Field(default=None, alias="$dynamicRef")
    defs: Optional[Dict[str, "SchemaOrBool"]] = Field(default=None, alias="$defs")
    comment: Optional[str] = Field(default=None, alias="$comment")
    # Ref: JSON Schema 2020-12: https://json-schema.org/draft/2020-12/json-schema-core.html#name-a-vocabulary-for-applying-s
    # A Vocabulary for Applying Subschemas
    allOf: Optional[List["SchemaOrBool"]] = None
    anyOf: Optional[List["SchemaOrBool"]] = None
    oneOf: Optional[List["SchemaOrBool"]] = None
    not_: Optional["SchemaOrBool"] = Field(default=None, alias="not")
    if_: Optional["SchemaOrBool"] = Field(default=None, alias="if")
    then: Optional["SchemaOrBool"] = None
    else_: Optional["SchemaOrBool"] = Field(default=None, alias="else")
    dependentSchemas: Optional[Dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[List["SchemaOrBool"]] = None
    # MAINTENANCE: uncomment and remove below when deprecating Pydantic v1
    # MAINTENANCE: It generates a list of schemas for tuples, before prefixItems was available
    # MAINTENANCE: items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", List["SchemaOrBool"]]] = None
    contains: Optional["SchemaOrBool"] = None
    properties: Optional[Dict[str, "SchemaOrBool"]] = None
    patternProperties: Optional[Dict[str, "SchemaOrBool"]] = None
    additionalProperties: Optional["SchemaOrBool"] = None
    propertyNames: Optional["SchemaOrBool"] = None
    unevaluatedItems: Optional["SchemaOrBool"] = None
    unevaluatedProperties: Optional["SchemaOrBool"] = None
    # Ref: JSON Schema Validation 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation.html#name-a-vocabulary-for-structural
    # A Vocabulary for Structural Validation
    type: Optional[str] = None  # noqa: A003
    enum: Optional[List[Any]] = None
    const: Optional[Any] = None
    multipleOf: Optional[float] = Field(default=None, gt=0)
    maximum: Optional[float] = None
    exclusiveMaximum: Optional[float] = None
    minimum: Optional[float] = None
    exclusiveMinimum: Optional[float] = None
    maxLength: Optional[int] = Field(default=None, ge=0)
    minLength: Optional[int] = Field(default=None, ge=0)
    pattern: Optional[str] = None
    maxItems: Optional[int] = Field(default=None, ge=0)
    minItems: Optional[int] = Field(default=None, ge=0)
    uniqueItems: Optional[bool] = None
    maxContains: Optional[int] = Field(default=None, ge=0)
    minContains: Optional[int] = Field(default=None, ge=0)
    maxProperties: Optional[int] = Field(default=None, ge=0)
    minProperties: Optional[int] = Field(default=None, ge=0)
    required: Optional[List[str]] = None
    dependentRequired: Optional[Dict[str, Set[str]]] = None
    # Ref: JSON Schema Validation 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation.html#name-vocabularies-for-semantic-c
    # Vocabularies for Semantic Content With "format"
    format: Optional[str] = None  # noqa: A003
    # Ref: JSON Schema Validation 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation.html#name-a-vocabulary-for-the-conten
    # A Vocabulary for the Contents of String-Encoded Data
    contentEncoding: Optional[str] = None
    contentMediaType: Optional[str] = None
    contentSchema: Optional["SchemaOrBool"] = None
    # Ref: JSON Schema Validation 2020-12: https://json-schema.org/draft/2020-12/json-schema-validation.html#name-a-vocabulary-for-basic-meta
    # A Vocabulary for Basic Meta-Data Annotations
    title: Optional[str] = None
    description: Optional[str] = None
    default: Optional[Any] = None
    deprecated: Optional[bool] = None
    readOnly: Optional[bool] = None
    writeOnly: Optional[bool] = None
    examples: Optional[List[Any]] = None
    # Ref: OpenAPI 3.0.0: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.0.md#schema-object
    # Schema Object
    discriminator: Optional[Discriminator] = None
    xml: Optional[XML] = None
    externalDocs: Optional[ExternalDocumentation] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var additionalProperties : Schema | bool | None
var allOf : List[Schema | bool] | None
var anchor : str | None
var anyOf : List[Schema | bool] | None
var comment : str | None
var const : Any | None
var contains : Schema | bool | None
var contentEncoding : str | None
var contentMediaType : str | None
var contentSchema : Schema | bool | None
var default : Any | None
var defs : Dict[str, Schema | bool] | None
var dependentRequired : Dict[str, Set[str]] | None
var dependentSchemas : Dict[str, Schema | bool] | None
var deprecated : bool | None
var description : str | None
var discriminator : Discriminator | None
var dynamicAnchor : str | None
var dynamicRef : str | None
var else_ : Schema | bool | None
var enum : List[Any] | None
var examples : List[Any] | None
var exclusiveMaximum : float | None
var exclusiveMinimum : float | None
var externalDocs : ExternalDocumentation | None
var format : str | None
var id : str | None
var if_ : Schema | bool | None
var items : Schema | bool | List[Schema | bool] | None
var maxContains : int | None
var maxItems : int | None
var maxLength : int | None
var maxProperties : int | None
var maximum : float | None
var minContains : int | None
var minItems : int | None
var minLength : int | None
var minProperties : int | None
var minimum : float | None
var model_config
var multipleOf : float | None
var not_ : Schema | bool | None
var oneOf : List[Schema | bool] | None
var pattern : str | None
var patternProperties : Dict[str, Schema | bool] | None
var prefixItems : List[Schema | bool] | None
var properties : Dict[str, Schema | bool] | None
var propertyNames : Schema | bool | None
var readOnly : bool | None
var ref : str | None
var required : List[str] | None
var schema_ : str | None
var then : Schema | bool | None
var title : str | None
var type : str | None
var unevaluatedItems : Schema | bool | None
var unevaluatedProperties : Schema | bool | None
var uniqueItems : bool | None
var vocabulary : str | None
var writeOnly : bool | None
var xml : XML | None

class SecurityBase (**data: Any)

Expand source code

class SecurityBase(OpenAPIExtensions):
    type_: SecuritySchemeType = Field(alias="type")
    description: Optional[str] = None

    model_config = {"extra": "allow", "populate_by_name": True}

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OpenAPIExtensions
pydantic.main.BaseModel

Subclasses

APIKey
HTTPBase
MutualTLS
OAuth2
OpenIdConnect

Class variables

var description : str | None
var model_config
var type_ : SecuritySchemeType

class SecuritySchemeType (*args, **kwds)

Expand source code

class SecuritySchemeType(Enum):
    apiKey = "apiKey"
    http = "http"
    oauth2 = "oauth2"
    openIdConnect = "openIdConnect"
    mutualTLS = "mutualTLS"

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

attribute access:

Color.RED

value lookup:

Color(1)

name lookup:

Color['RED']

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

Ancestors

enum.Enum

Class variables

var apiKey
var http
var mutualTLS
var oauth2
var openIdConnect

class Server (**data: Any)

Expand source code

class Server(OpenAPIExtensions):
    url: Union[AnyUrl, str]
    description: Optional[str] = None
    variables: Optional[Dict[str, ServerVariable]] = None

    model_config = MODEL_CONFIG_ALLOW

This class serves as a Pydantic proxy model to add OpenAPI extensions.

OpenAPI extensions are arbitrary fields, so we remove openapi_extensions when dumping and add only the provided value in the schema.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

OpenAPIExtensions
pydantic.main.BaseModel

Class variables

var description : str | None
var model_config
var url : pydantic.networks.AnyUrl | str
var variables : Dict[str, ServerVariable] | None

class ServerVariable (**data: Any)

Expand source code

class ServerVariable(BaseModel):
    enum: Annotated[Optional[List[str]], Field(min_length=1)] = None
    default: str
    description: Optional[str] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var default : str
var description : str | None
var enum : List[str] | None
var model_config

class Tag (**data: Any)

Expand source code

class Tag(BaseModel):
    name: str
    description: Optional[str] = None
    externalDocs: Optional[ExternalDocumentation] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var description : str | None
var externalDocs : ExternalDocumentation | None
var model_config
var name : str

class XML (**data: Any)

Expand source code

class XML(BaseModel):
    name: Optional[str] = None
    namespace: Optional[str] = None
    prefix: Optional[str] = None
    attribute: Optional[bool] = None
    wrapped: Optional[bool] = None

    model_config = MODEL_CONFIG_ALLOW

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

pydantic.main.BaseModel

Class variables

var attribute : bool | None
var model_config
var name : str | None
var namespace : str | None
var prefix : str | None
var wrapped : bool | None