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How to use pydantic_validate method in pandera

Best Python code snippet using pandera_python

id.py

Source:id.py

...60            except ValueError:61                raise TypeError(f'Malformed DaemonID: {*jid,} is not a valid UUID')62        return f'{jtype}-{jid}'63    @classmethod64    def pydantic_validate(cls, value: str):65        """Validate method for pydantic66        :param value: str to be validated67        :return: str of type DaemonID68        """69        return cls(cls.validate(value))70    @classmethod71    def __modify_schema__(cls, field_schema: Dict):72        field_schema.update(pattern=cls.pattern)73    def __repr__(self):74        return f'DaemonID({super().__repr__()})'75def daemonize(identity: str, kind: str = 'workspace') -> DaemonID:76    """Convert to DaemonID77    :param identity: uuid or DaemonID78    :param kind: defaults to 'workspace'...

fastapi.py

Source:fastapi.py

...35        ) -> Iterable[Callable[..., Any]]:36            """Pydantic method for yielding validators."""37            yield cls.pydantic_validate38        @classmethod39        def pydantic_validate(40            cls: Type["UploadFile"], obj: Any, field: ModelField41        ) -> Any:42            """43            Pydantic validation method for validating dataframes in the context44            of a file upload.45            """46            if not isinstance(obj, starlette.datastructures.UploadFile):47                raise ValueError(f"Expected UploadFile, received: {type(obj)}")48            schema_model_field = field.sub_fields[0]  # type: ignore[index]49            validated_data = schema_model_field.type_.pydantic_validate(50                obj.file, schema_model_field51            )52            obj.file.seek(0)...

tagged_union.py

Source:tagged_union.py

...8        @classmethod9        def __get_validators__(cls):10            yield cls.pydantic_validate11        @classmethod12        def pydantic_validate(cls, v):13            if isinstance(v, cls):14                return v15            if not isinstance(v, dict):16                raise TypeError("Value should be dict")17            if len(v) != 1:18                raise ValueError(f"Expecting exactly one key, got {len(v)} keys.")19            key = list(v.keys())[0]20            if key not in cls.__annotations__:21                raise ValueError(f"Unknown key {key}")22            return cls(**{key: cls.__annotations__[key](**v[key])})23else:24    from dataclasses import fields25    INTERNAL_TAGGED_UNION = False26    class TaggedUnion:...

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