pixano_inference.schemas.inference

HTTP-layer request/response wrappers for inference capabilities.

DetectionRequest(**data)

Bases: BaseRequest, DetectionInput

Request for detection inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> DetectionInput:
    """Convert the request to the input."""
    return self.to_base_model(DetectionInput)

DetectionResponse(**data)

Bases: BaseResponse

Response for detection inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

EmbeddingRequest(**data)

Bases: BaseRequest, EmbeddingInput

Request for embedding inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> EmbeddingInput:
    """Convert the request to the input."""
    return self.to_base_model(EmbeddingInput)

EmbeddingResponse(**data)

Bases: BaseResponse

Response for embedding inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

NERRequest(**data)

Bases: BaseRequest, NERInput

Request for NER inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> NERInput:
    """Convert the request to the input."""
    return self.to_base_model(NERInput)

NERResponse(**data)

Bases: BaseResponse

Response for NER inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

SegmentationRequest(**data)

Bases: BaseRequest, SegmentationInput

Request for segmentation inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> SegmentationInput:
    """Convert the request to the input."""
    return self.to_base_model(SegmentationInput)

SegmentationResponse(**data)

Bases: BaseResponse

Response for segmentation inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

TrackingRequest(**data)

Bases: BaseRequest, TrackingInput

Request for tracking inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> TrackingInput:
    """Convert the request to the input."""
    return self.to_base_model(TrackingInput)

TrackingResponse(**data)

Bases: BaseResponse

Response for tracking inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

VLMRequest(**data)

Bases: BaseRequest, VLMInput

Request for VLM inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

to_input()

Convert the request to the input.

Source code in pixano_inference/schemas/inference.py

def to_input(self) -> VLMInput:
    """Convert the request to the input."""
    return self.to_base_model(VLMInput)

VLMResponse(**data)

Bases: BaseResponse

Response for VLM inference.

Source code in pydantic/main.py

def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

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

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            f'See the `model_validator` docs (https://pydantic.dev/docs/validation/{version_short()}/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )