1.16.10

flytekit.types.file.image

Directory

Classes

Class Description
PILImageTransformer TypeTransformer that supports PIL.

Variables

Property Type Description
T TypeVar

flytekit.types.file.image.PILImageTransformer

TypeTransformer that supports PIL.Image as a native type.

def PILImageTransformer()

Methods

Method Description
assert_type()
from_binary_idl() This function primarily handles deserialization for untyped dicts, dataclasses, Pydantic BaseModels, and attribute access.
from_generic_idl() TODO: Support all Flyte Types.
get_literal_type() Converts the python type to a Flyte LiteralType.
guess_python_type() Converts the Flyte LiteralType to a python object type.
isinstance_generic()
to_html() Converts any python val (dataframe, int, float) to a html string, and it will be wrapped in the HTML div.
to_literal() Converts a given python_val to a Flyte Literal, assuming the given python_val matches the declared python_type.
to_python_value() Converts the given Literal to a Python Type.

assert_type()

def assert_type(
    t: Type[T],
    v: T,
)
Parameter Type Description
t Type[T]
v T

from_binary_idl()

def from_binary_idl(
    binary_idl_object: Binary,
    expected_python_type: Type[T],
) -> Optional[T]

This function primarily handles deserialization for untyped dicts, dataclasses, Pydantic BaseModels, and attribute access.`

For untyped dict, dataclass, and pydantic basemodel: Life Cycle (Untyped Dict as example): python val -> msgpack bytes -> binary literal scalar -> msgpack bytes -> python val (to_literal) (from_binary_idl)

For attribute access: Life Cycle: python val -> msgpack bytes -> binary literal scalar -> resolved golang value -> binary literal scalar -> msgpack bytes -> python val (to_literal) (propeller attribute access) (from_binary_idl)

Parameter Type Description
binary_idl_object Binary
expected_python_type Type[T]

from_generic_idl()

def from_generic_idl(
    generic: Struct,
    expected_python_type: Type[T],
) -> Optional[T]

TODO: Support all Flyte Types. This is for dataclass attribute access from input created from the Flyte Console.

Note:

  • This can be removed in the future when the Flyte Console support generate Binary IDL Scalar as input.
Parameter Type Description
generic Struct
expected_python_type Type[T]

get_literal_type()

def get_literal_type(
    t: typing.Type[~T],
) -> flytekit.models.types.LiteralType

Converts the python type to a Flyte LiteralType

Parameter Type Description
t typing.Type[~T]

guess_python_type()

def guess_python_type(
    literal_type: flytekit.models.types.LiteralType,
) -> typing.Type[~T]

Converts the Flyte LiteralType to a python object type.

Parameter Type Description
literal_type flytekit.models.types.LiteralType

isinstance_generic()

def isinstance_generic(
    obj,
    generic_alias,
)
Parameter Type Description
obj
generic_alias

to_html()

def to_html(
    ctx: flytekit.core.context_manager.FlyteContext,
    python_val: PIL.Image.Image,
    expected_python_type: typing.Type[~T],
) -> str

Converts any python val (dataframe, int, float) to a html string, and it will be wrapped in the HTML div

Parameter Type Description
ctx flytekit.core.context_manager.FlyteContext
python_val PIL.Image.Image
expected_python_type typing.Type[~T]

to_literal()

def to_literal(
    ctx: flytekit.core.context_manager.FlyteContext,
    python_val: PIL.Image.Image,
    python_type: typing.Type[~T],
    expected: flytekit.models.types.LiteralType,
) -> flytekit.models.literals.Literal

Converts a given python_val to a Flyte Literal, assuming the given python_val matches the declared python_type. Implementers should refrain from using type(python_val) instead rely on the passed in python_type. If these do not match (or are not allowed) the Transformer implementer should raise an AssertionError, clearly stating what was the mismatch

Parameter Type Description
ctx flytekit.core.context_manager.FlyteContext A FlyteContext, useful in accessing the filesystem and other attributes
python_val PIL.Image.Image The actual value to be transformed
python_type typing.Type[~T] The assumed type of the value (this matches the declared type on the function)
expected flytekit.models.types.LiteralType Expected Literal Type

to_python_value()

def to_python_value(
    ctx: flytekit.core.context_manager.FlyteContext,
    lv: flytekit.models.literals.Literal,
    expected_python_type: typing.Type[~T],
) -> PIL.Image.Image

Converts the given Literal to a Python Type. If the conversion cannot be done an AssertionError should be raised

Parameter Type Description
ctx flytekit.core.context_manager.FlyteContext FlyteContext
lv flytekit.models.literals.Literal The received literal Value
expected_python_type typing.Type[~T] Expected native python type that should be returned

Properties

Property Type Description
is_async
name
python_type
This returns the python type
type_assertions_enabled
Indicates if the transformer wants type assertions to be enabled at the core type engine layer