Operation Mapping¶
- dffml.operation.mapping.create_mapping(key: str, value: Any)[source]¶
Creates a mapping of a given key and value.
- Parameters:
key (str) – The key for the mapping.
value (Any) – The value for the mapping.
- Returns:
A dictionary containing the mapping created.
- Return type:
Examples
>>> import asyncio >>> from dffml import * >>> >>> dataflow = DataFlow.auto(create_mapping, GetSingle) >>> dataflow.seed.append( ... Input( ... value=[create_mapping.op.outputs["mapping"].name], ... definition=GetSingle.op.inputs["spec"], ... ) ... ) >>> inputs = [ ... Input( ... value="key1", definition=create_mapping.op.inputs["key"], ... ), ... Input( ... value=42, definition=create_mapping.op.inputs["value"], ... ), ... ] >>> >>> async def main(): ... async for ctx, result in MemoryOrchestrator.run(dataflow, inputs): ... print(result) >>> >>> asyncio.run(main()) {'mapping': {'key1': 42}}
- dffml.operation.mapping.mapping_extract_value(mapping: Dict[str, Any], traverse: List[str])[source]¶
Extracts value from a given mapping.
- Parameters:
- Returns:
A dictionary containing the value of the keys.
- Return type:
Examples
>>> import asyncio >>> from dffml import * >>> >>> dataflow = DataFlow.auto(mapping_extract_value, GetSingle) >>> >>> dataflow.seed.append( ... Input( ... value=[mapping_extract_value.op.outputs["value"].name], ... definition=GetSingle.op.inputs["spec"], ... ) ... ) >>> inputs = [ ... Input( ... value={"key1": {"key2": 42}}, ... definition=mapping_extract_value.op.inputs["mapping"], ... ), ... Input( ... value=["key1", "key2"], ... definition=mapping_extract_value.op.inputs["traverse"], ... ), ... ] >>> >>> async def main(): ... async for ctx, result in MemoryOrchestrator.run(dataflow, inputs): ... print(result) >>> >>> asyncio.run(main()) {'value': 42}