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)
-
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 allowself
as a field name.Expand source code
class APIKey(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type") in_: APIKeyIn = Field(alias="in") name: str
Ancestors
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var in_ : APIKeyIn
var model_config
var name : str
var type_ : SecuritySchemeType
class APIKeyIn (*args, **kwds)
-
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.
Expand source code
class APIKeyIn(Enum): query = "query" header = "header" cookie = "cookie"
Ancestors
- enum.Enum
Class variables
var header
var query
class Components (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var callbacks : Optional[Dict[str, Union[Dict[str, PathItem], Reference, Any]]]
var examples : Optional[Dict[str, Union[Example, Reference]]]
var headers : Optional[Dict[str, Union[Header, Reference]]]
var links : Optional[Dict[str, Union[Link, Reference]]]
var model_config
var parameters : Optional[Dict[str, Union[Parameter, Reference]]]
var pathItems : Optional[Dict[str, Union[PathItem, Reference]]]
var requestBodies : Optional[Dict[str, Union[RequestBody, Reference]]]
var responses : Optional[Dict[str, Union[Response, Reference]]]
var schemas : Optional[Dict[str, Union[Schema, Reference]]]
var securitySchemes : Optional[Dict[str, Union[APIKey, HTTPBase, OAuth2, OpenIdConnect, HTTPBearer, MutualTLS, Reference]]]
class Contact (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Contact(BaseModel): name: Optional[str] = None url: Optional[AnyUrl] = None email: Optional[str] = None model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Class variables
var email : str | None
var model_config
var name : str | None
var url : Optional[pydantic.networks.AnyUrl]
class Discriminator (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Discriminator(BaseModel): propertyName: str mapping: Optional[Dict[str, str]] = None
Ancestors
- pydantic.main.BaseModel
Class variables
var mapping : Optional[Dict[str, str]]
var model_config
var propertyName : str
class Encoding (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var allowReserved : Optional[bool]
var contentType : str | None
var explode : Optional[bool]
var headers : Optional[Dict[str, Union[Header, Reference]]]
var model_config
var style : str | None
class Example (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var description : str | None
var externalValue : Optional[pydantic.networks.AnyUrl]
var model_config
var summary : str | None
var value : Optional[Any]
class ExternalDocumentation (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class ExternalDocumentation(BaseModel): description: Optional[str] = None url: AnyUrl model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Class variables
var description : str | None
var model_config
var url : pydantic.networks.AnyUrl
class HTTPBase (**data: Any)
-
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 allowself
as a field name.Expand source code
class HTTPBase(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.http, alias="type") scheme: str
Ancestors
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Subclasses
Class variables
var model_config
var scheme : str
var type_ : SecuritySchemeType
class HTTPBearer (**data: Any)
-
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 allowself
as a field name.Expand source code
class HTTPBearer(HTTPBase): # type: ignore[override] scheme: Literal["bearer"] = "bearer" bearerFormat: Optional[str] = None
Ancestors
- HTTPBase
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var bearerFormat : str | None
var model_config
var scheme : Literal['bearer']
class Header (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Header(ParameterBase): pass
Ancestors
- ParameterBase
- pydantic.main.BaseModel
Class variables
var model_config
class Info (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var contact : Optional[Contact]
var description : str | None
var license : Optional[License]
var model_config
var summary : str | None
var termsOfService : str | None
var title : str
var version : str
class License (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class License(BaseModel): name: str identifier: Optional[str] = None url: Optional[AnyUrl] = None model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Class variables
var identifier : str | None
var model_config
var name : str
var url : Optional[pydantic.networks.AnyUrl]
class Link (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var description : str | None
var model_config
var operationId : str | None
var operationRef : str | None
var parameters : Optional[Dict[str, Union[Any, str]]]
var requestBody : Union[Any, str, ForwardRef(None)]
var server : Optional[Server]
class MediaType (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var encoding : Optional[Dict[str, Encoding]]
var examples : Optional[Dict[str, Union[Example, Reference]]]
var model_config
var schema_ : Union[Schema, Reference, ForwardRef(None)]
class MutualTLS (**data: Any)
-
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 allowself
as a field name.Expand source code
class MutualTLS(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.mutualTLS, alias="type")
Ancestors
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var model_config
var type_ : SecuritySchemeType
class OAuth2 (**data: Any)
-
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 allowself
as a field name.Expand source code
class OAuth2(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.oauth2, alias="type") flows: OAuthFlows
Ancestors
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var flows : OAuthFlows
var model_config
var type_ : SecuritySchemeType
class OAuthFlow (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class OAuthFlow(BaseModel): refreshUrl: Optional[str] = None scopes: Dict[str, str] = {} model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Subclasses
Class variables
var model_config
var refreshUrl : str | None
var scopes : Dict[str, str]
class OAuthFlowAuthorizationCode (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class OAuthFlowAuthorizationCode(OAuthFlow): authorizationUrl: str tokenUrl: str
Ancestors
- OAuthFlow
- pydantic.main.BaseModel
Class variables
var model_config
var tokenUrl : str
class OAuthFlowClientCredentials (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class OAuthFlowClientCredentials(OAuthFlow): tokenUrl: str
Ancestors
- OAuthFlow
- pydantic.main.BaseModel
Class variables
var model_config
var tokenUrl : str
class OAuthFlowImplicit (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class OAuthFlowImplicit(OAuthFlow): authorizationUrl: str
Ancestors
- OAuthFlow
- pydantic.main.BaseModel
Class variables
var model_config
class OAuthFlowPassword (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class OAuthFlowPassword(OAuthFlow): tokenUrl: str
Ancestors
- OAuthFlow
- pydantic.main.BaseModel
Class variables
var model_config
var tokenUrl : str
class OAuthFlows (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var clientCredentials : Optional[OAuthFlowClientCredentials]
var implicit : Optional[OAuthFlowImplicit]
var model_config
var password : Optional[OAuthFlowPassword]
class OpenAPI (**data: Any)
-
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 allowself
as a field name.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
Ancestors
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var components : Optional[Components]
var externalDocs : Optional[ExternalDocumentation]
var info : Info
var jsonSchemaDialect : str | None
var model_config
var openapi : str
var paths : Optional[Dict[str, Union[PathItem, Any]]]
var security : Optional[List[Dict[str, List[str]]]]
var servers : Optional[List[Server]]
var webhooks : Optional[Dict[str, Union[PathItem, Reference]]]
class OpenAPIExtensions (**data: Any)
-
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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Subclasses
Class variables
var model_config
var openapi_extensions : Optional[Dict[str, Any]]
Methods
def serialize_openapi_extension_v2(self)
class OpenIdConnect (**data: Any)
-
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 allowself
as a field name.Expand source code
class OpenIdConnect(SecurityBase): type_: SecuritySchemeType = Field( default=SecuritySchemeType.openIdConnect, alias="type", ) openIdConnectUrl: str
Ancestors
- SecurityBase
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var model_config
var openIdConnectUrl : str
var type_ : SecuritySchemeType
class Operation (**data: Any)
-
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 allowself
as a field name.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
Ancestors
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var callbacks : Optional[Dict[str, Union[Dict[str, PathItem], Reference]]]
var deprecated : Optional[bool]
var description : str | None
var externalDocs : Optional[ExternalDocumentation]
var model_config
var operationId : str | None
var parameters : Optional[List[Union[Parameter, Reference]]]
var requestBody : Union[RequestBody, Reference, ForwardRef(None)]
var responses : Optional[Dict[int, Union[Response, Any]]]
var security : Optional[List[Dict[str, List[str]]]]
var servers : Optional[List[Server]]
var summary : str | None
class Parameter (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Parameter(ParameterBase): name: str in_: ParameterInType = Field(alias="in")
Ancestors
- ParameterBase
- pydantic.main.BaseModel
Class variables
var in_ : ParameterInType
var model_config
var name : str
class ParameterBase (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Subclasses
Class variables
var allowReserved : Optional[bool]
var content : Optional[Dict[str, MediaType]]
var deprecated : Optional[bool]
var description : str | None
var examples : Optional[Dict[str, Union[Example, Reference]]]
var explode : Optional[bool]
var model_config
var required : Optional[bool]
var schema_ : Union[Schema, Reference, ForwardRef(None)]
var style : str | None
class ParameterInType (*args, **kwds)
-
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.
Expand source code
class ParameterInType(Enum): query = "query" header = "header" path = "path" cookie = "cookie"
Ancestors
- enum.Enum
Class variables
var header
var path
var query
class PathItem (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var delete : Optional[Operation]
var description : str | None
var get : Optional[Operation]
var head : Optional[Operation]
var model_config
var options : Optional[Operation]
var parameters : Optional[List[Union[Parameter, Reference]]]
var patch : Optional[Operation]
var post : Optional[Operation]
var put : Optional[Operation]
var ref : str | None
var servers : Optional[List[Server]]
var summary : str | None
var trace : Optional[Operation]
class Reference (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Reference(BaseModel): ref: str = Field(alias="$ref")
Ancestors
- pydantic.main.BaseModel
Class variables
var model_config
var ref : str
class RequestBody (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class RequestBody(BaseModel): description: Optional[str] = None content: Dict[str, MediaType] required: Optional[bool] = None model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Class variables
var content : Dict[str, MediaType]
var description : str | None
var model_config
var required : Optional[bool]
class Response (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var content : Optional[Dict[str, MediaType]]
var description : str
var headers : Optional[Dict[str, Union[Header, Reference]]]
var links : Optional[Dict[str, Union[Link, Reference]]]
var model_config
class Schema (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var additionalProperties : Union[Schema, bool, ForwardRef(None)]
var allOf : Optional[List[Union[Schema, bool]]]
var anchor : str | None
var anyOf : Optional[List[Union[Schema, bool]]]
var comment : str | None
var const : Optional[Any]
var contains : Union[Schema, bool, ForwardRef(None)]
var contentEncoding : str | None
var contentMediaType : str | None
var contentSchema : Union[Schema, bool, ForwardRef(None)]
var default : Optional[Any]
var defs : Optional[Dict[str, Union[Schema, bool]]]
var dependentRequired : Optional[Dict[str, Set[str]]]
var dependentSchemas : Optional[Dict[str, Union[Schema, bool]]]
var deprecated : Optional[bool]
var description : str | None
var discriminator : Optional[Discriminator]
var dynamicAnchor : str | None
var dynamicRef : str | None
var else_ : Union[Schema, bool, ForwardRef(None)]
var enum : Optional[List[Any]]
var examples : Optional[List[Any]]
var exclusiveMaximum : Optional[float]
var exclusiveMinimum : Optional[float]
var externalDocs : Optional[ExternalDocumentation]
var format : str | None
var id : str | None
var if_ : Union[Schema, bool, ForwardRef(None)]
var items : Union[Schema, bool, List[Union[Schema, bool]], ForwardRef(None)]
var maxContains : Optional[int]
var maxItems : Optional[int]
var maxLength : Optional[int]
var maxProperties : Optional[int]
var maximum : Optional[float]
var minContains : Optional[int]
var minItems : Optional[int]
var minLength : Optional[int]
var minProperties : Optional[int]
var minimum : Optional[float]
var model_config
var multipleOf : Optional[float]
var not_ : Union[Schema, bool, ForwardRef(None)]
var oneOf : Optional[List[Union[Schema, bool]]]
var pattern : str | None
var patternProperties : Optional[Dict[str, Union[Schema, bool]]]
var prefixItems : Optional[List[Union[Schema, bool]]]
var properties : Optional[Dict[str, Union[Schema, bool]]]
var propertyNames : Union[Schema, bool, ForwardRef(None)]
var readOnly : Optional[bool]
var ref : str | None
var required : Optional[List[str]]
var schema_ : str | None
var then : Union[Schema, bool, ForwardRef(None)]
var title : str | None
var type : str | None
var unevaluatedItems : Union[Schema, bool, ForwardRef(None)]
var unevaluatedProperties : Union[Schema, bool, ForwardRef(None)]
var uniqueItems : Optional[bool]
var vocabulary : str | None
var writeOnly : Optional[bool]
var xml : Optional[XML]
class SecurityBase (**data: Any)
-
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 allowself
as a field name.Expand source code
class SecurityBase(OpenAPIExtensions): type_: SecuritySchemeType = Field(alias="type") description: Optional[str] = None model_config = {"extra": "allow", "populate_by_name": True}
Ancestors
- OpenAPIExtensions
- pydantic.main.BaseModel
Subclasses
Class variables
var description : str | None
var model_config
var type_ : SecuritySchemeType
class SecuritySchemeType (*args, **kwds)
-
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.
Expand source code
class SecuritySchemeType(Enum): apiKey = "apiKey" http = "http" oauth2 = "oauth2" openIdConnect = "openIdConnect" mutualTLS = "mutualTLS"
Ancestors
- enum.Enum
Class variables
var apiKey
var http
var mutualTLS
var oauth2
var openIdConnect
class Server (**data: Any)
-
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 allowself
as a field name.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
Ancestors
- OpenAPIExtensions
- pydantic.main.BaseModel
Class variables
var description : str | None
var model_config
var url : Union[pydantic.networks.AnyUrl, str]
var variables : Optional[Dict[str, ServerVariable]]
class ServerVariable (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var default : str
var description : str | None
var enum : Optional[List[str]]
var model_config
class Tag (**data: Any)
-
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__
andModel.__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 allowself
as a field name.Expand source code
class Tag(BaseModel): name: str description: Optional[str] = None externalDocs: Optional[ExternalDocumentation] = None model_config = MODEL_CONFIG_ALLOW
Ancestors
- pydantic.main.BaseModel
Class variables
var description : str | None
var externalDocs : Optional[ExternalDocumentation]
var model_config
var name : str
class XML (**data: Any)
-
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__
andModel.__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 allowself
as a field name.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
Ancestors
- pydantic.main.BaseModel
Class variables
var attribute : Optional[bool]
var model_config
var name : str | None
var namespace : str | None
var prefix : str | None
var wrapped : Optional[bool]