apache_beam.typehints.typecheck module¶
Runtime type checking support.
For internal use only; no backwards-compatibility guarantees.
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class apache_beam.typehints.typecheck.AbstractDoFnWrapper(dofn)[source]¶
- Bases: - apache_beam.transforms.core.DoFn- An abstract class to create wrapper around DoFn 
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class apache_beam.typehints.typecheck.OutputCheckWrapperDoFn(dofn, full_label)[source]¶
- Bases: - apache_beam.typehints.typecheck.AbstractDoFnWrapper- A DoFn that verifies against common errors in the output type. 
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class apache_beam.typehints.typecheck.TypeCheckWrapperDoFn(dofn, type_hints, label=None)[source]¶
- Bases: - apache_beam.typehints.typecheck.AbstractDoFnWrapper- A wrapper around a DoFn which performs type-checking of input and output. - 
static type_check(type_constraint, datum, is_input)[source]¶
- Typecheck a PTransform related datum according to a type constraint. - This function is used to optionally type-check either an input or an output to a PTransform. - Parameters: - type_constraint – An instance of a typehints.TypeContraint, one of the white-listed builtin Python types, or a custom user class.
- datum – An instance of a Python object.
- is_input – True if ‘datum’ is an input to a PTransform’s DoFn. False otherwise.
 - Raises: - TypeError– If ‘datum’ fails to type-check according to ‘type_constraint’.
 
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static 
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class apache_beam.typehints.typecheck.TypeCheckCombineFn(combinefn, type_hints, label=None)[source]¶
- Bases: - apache_beam.transforms.core.CombineFn- A wrapper around a CombineFn performing type-checking of input and output.