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Version: devel

dlt.common.normalizers.json

DataItemNormalizer Objects​

class DataItemNormalizer(abc.ABC, Generic[TNormalizerConfig])

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py_type_to_sc_type_map​

@property
def py_type_to_sc_type_map() -> Dict[Type[Any], TDataType]

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Lookup from Python type to schema type. Override in subclasses.

py_type_to_sc_type​

@abc.abstractmethod
def py_type_to_sc_type(t: Type[Any]) -> TDataType

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Resolve Python type to schema type including subclass/Enum handling.

can_coerce_type​

@abc.abstractmethod
def can_coerce_type(to_type: TDataType, from_type: TDataType) -> bool

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Return True if from_type can be coerced to to_type.

coerce_type​

@abc.abstractmethod
def coerce_type(to_type: TDataType, from_type: TDataType, value: Any) -> Any

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Coerce value from from_type to to_type. Raises ValueError on failure.

SupportsDataItemNormalizer Objects​

class SupportsDataItemNormalizer(Protocol)

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Expected of modules defining data item normalizer

DataItemNormalizer​

A class with a name DataItemNormalizer deriving from normalizers.json.DataItemNormalizer

wrap_in_dict​

def wrap_in_dict(label: str, item: Any) -> DictStrAny

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Wraps item that is not a dictionary into dictionary that can be json normalized

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

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