Commitde217f4

authored

ImprovePlainValidator example (#11954)

1 parentbcd10f7 commitde217f4Copy full SHA for de217f4

File tree

-5

lines changed

-5

lines changed

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
@@ -447,7 +447,7 @@ However, in Pydantic V2, when a `TypeError` is raised in a validator, it is no l
`447`	`447`	```python
`448`	`448`	`import pytest`
`449`	`449`
`450`		`-from pydanticimport BaseModel, field_validator# or validator`
	`450`	`+from pydanticimport BaseModel, field_validator`
`451`	`451`
`452`	`452`
`453`	`453`	`classModel(BaseModel):`

Lines changed: 8 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -174,11 +174,15 @@ class PlainValidator:`
`174`	`174`
`175`	`175`	`from pydantic import BaseModel, PlainValidator`
`176`	`176`
	`177`	`+ def validate(v: object) -> int:`
	`178`	`+ if not isinstance(v, (int, str)):`
	`179`	`+ raise ValueError(f'Expected int or str, go {type(v)}')`
	`180`	`+`
	`181`	`+ return int(v) + 1`
	`182`	`+`
`177`	`183`	`MyInt = Annotated[`
`178`	`184`	`int,`
`179`		`- PlainValidator(`
`180`		`- lambda v: int(v) + 1, json_schema_input_type=Union[str, int] # (1)!`
`181`		`- ),`
	`185`	`+ PlainValidator(validate, json_schema_input_type=Union[str, int]), # (1)!`
`182`	`186`	`]`
`183`	`187`
`184`	`188`	`class Model(BaseModel):`
`@@ -192,7 +196,7 @@ class Model(BaseModel):`
`192`	`196`	```
`193`	`197`
`194`	`198`	1. In this example, we've specified the `json_schema_input_type` as `Union[str, int]` which indicates to the JSON schema
`195`		- generator that in validation mode, the input type for the `a` field can be either a `str` or an `int`.
	`199`	+ generator that in validation mode, the input type for the `a` field can be either a[`str`][] or an[`int`][].
`196`	`200`	`"""`
`197`	`201`
`198`	`202`	`func:core_schema.NoInfoValidatorFunction\|core_schema.WithInfoValidatorFunction`

Comments

(0)