TypeAdapter
A class representing the type adapter.
TypeAdapter ¶
TypeAdapter(type, *, config=None, _parent_depth=2)
Bases: Generic[T]
Usage Documentation
Type adapters provide a flexible way to perform validation and serialization based on a Python type.
A TypeAdapter
instance exposes some of the functionality from BaseModel
instance methods
for types that do not have such methods (such as dataclasses, primitive types, and more).
Note that TypeAdapter
is not an actual type, so you cannot use it in type annotations.
Attributes:
Name | Type | Description |
---|---|---|
core_schema |
The core schema for the type. |
|
validator |
SchemaValidator
|
The schema validator for the type. |
serializer |
The schema serializer for the type. |
Source code in pydantic/type_adapter.py
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|
validate_python ¶
validate_python(
__object,
*,
strict=None,
from_attributes=None,
context=None
)
Validate a Python object against the model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
__object |
Any
|
The Python object to validate against the model. |
required |
strict |
bool | None
|
Whether to strictly check types. |
None
|
from_attributes |
bool | None
|
Whether to extract data from object attributes. |
None
|
context |
dict[str, Any] | None
|
Additional context to pass to the validator. |
None
|
Returns:
Type | Description |
---|---|
T
|
The validated object. |
Source code in pydantic/type_adapter.py
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|
validate_json ¶
validate_json(__data, *, strict=None, context=None)
Validate a JSON string or bytes against the model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
__data |
str | bytes
|
The JSON data to validate against the model. |
required |
strict |
bool | None
|
Whether to strictly check types. |
None
|
context |
dict[str, Any] | None
|
Additional context to use during validation. |
None
|
Returns:
Type | Description |
---|---|
T
|
The validated object. |
Source code in pydantic/type_adapter.py
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|
get_default_value ¶
get_default_value(*, strict=None, context=None)
Get the default value for the wrapped type.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
strict |
bool | None
|
Whether to strictly check types. |
None
|
context |
dict[str, Any] | None
|
Additional context to pass to the validator. |
None
|
Returns:
Type | Description |
---|---|
Some[T] | None
|
The default value wrapped in a |
Source code in pydantic/type_adapter.py
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|
dump_python ¶
dump_python(
__instance,
*,
mode="python",
include=None,
exclude=None,
by_alias=False,
exclude_unset=False,
exclude_defaults=False,
exclude_none=False,
round_trip=False,
warnings=True
)
Dump an instance of the adapted type to a Python object.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
__instance |
T
|
The Python object to serialize. |
required |
mode |
Literal['json', 'python']
|
The output format. |
'python'
|
include |
IncEx | None
|
Fields to include in the output. |
None
|
exclude |
IncEx | None
|
Fields to exclude from the output. |
None
|
by_alias |
bool
|
Whether to use alias names for field names. |
False
|
exclude_unset |
bool
|
Whether to exclude unset fields. |
False
|
exclude_defaults |
bool
|
Whether to exclude fields with default values. |
False
|
exclude_none |
bool
|
Whether to exclude fields with None values. |
False
|
round_trip |
bool
|
Whether to output the serialized data in a way that is compatible with deserialization. |
False
|
warnings |
bool
|
Whether to display serialization warnings. |
True
|
Returns:
Type | Description |
---|---|
Any
|
The serialized object. |
Source code in pydantic/type_adapter.py
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|
dump_json ¶
dump_json(
__instance,
*,
indent=None,
include=None,
exclude=None,
by_alias=False,
exclude_unset=False,
exclude_defaults=False,
exclude_none=False,
round_trip=False,
warnings=True
)
Serialize an instance of the adapted type to JSON.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
__instance |
T
|
The instance to be serialized. |
required |
indent |
int | None
|
Number of spaces for JSON indentation. |
None
|
include |
IncEx | None
|
Fields to include. |
None
|
exclude |
IncEx | None
|
Fields to exclude. |
None
|
by_alias |
bool
|
Whether to use alias names for field names. |
False
|
exclude_unset |
bool
|
Whether to exclude unset fields. |
False
|
exclude_defaults |
bool
|
Whether to exclude fields with default values. |
False
|
exclude_none |
bool
|
Whether to exclude fields with a value of |
False
|
round_trip |
bool
|
Whether to serialize and deserialize the instance to ensure round-tripping. |
False
|
warnings |
bool
|
Whether to emit serialization warnings. |
True
|
Returns:
Type | Description |
---|---|
bytes
|
The JSON representation of the given instance as bytes. |
Source code in pydantic/type_adapter.py
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|
json_schema ¶
json_schema(
*,
by_alias=True,
ref_template=DEFAULT_REF_TEMPLATE,
schema_generator=GenerateJsonSchema,
mode="validation"
)
Generate a JSON schema for the adapted type.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
by_alias |
bool
|
Whether to use alias names for field names. |
True
|
ref_template |
str
|
The format string used for generating $ref strings. |
DEFAULT_REF_TEMPLATE
|
schema_generator |
type[GenerateJsonSchema]
|
The generator class used for creating the schema. |
GenerateJsonSchema
|
mode |
JsonSchemaMode
|
The mode to use for schema generation. |
'validation'
|
Returns:
Type | Description |
---|---|
dict[str, Any]
|
The JSON schema for the model as a dictionary. |
Source code in pydantic/type_adapter.py
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|
json_schemas
staticmethod
¶
json_schemas(
__inputs,
*,
by_alias=True,
title=None,
description=None,
ref_template=DEFAULT_REF_TEMPLATE,
schema_generator=GenerateJsonSchema
)
Generate a JSON schema including definitions from multiple type adapters.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
__inputs |
Iterable[tuple[JsonSchemaKeyT, JsonSchemaMode, TypeAdapter[Any]]]
|
Inputs to schema generation. The first two items will form the keys of the (first) output mapping; the type adapters will provide the core schemas that get converted into definitions in the output JSON schema. |
required |
by_alias |
bool
|
Whether to use alias names. |
True
|
title |
str | None
|
The title for the schema. |
None
|
description |
str | None
|
The description for the schema. |
None
|
ref_template |
str
|
The format string used for generating $ref strings. |
DEFAULT_REF_TEMPLATE
|
schema_generator |
type[GenerateJsonSchema]
|
The generator class used for creating the schema. |
GenerateJsonSchema
|
Returns:
Type | Description |
---|---|
tuple[dict[tuple[JsonSchemaKeyT, JsonSchemaMode], JsonSchemaValue], JsonSchemaValue]
|
A tuple where:
|
Source code in pydantic/type_adapter.py
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|