CompositeAssembler¶
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class
lsst.daf.butler.CompositeAssembler(storageClass)¶ Bases:
objectClass for providing assembler and disassembler support for composites.
Parameters: - storageClass :
StorageClass StorageClassto be used with this assembler.
Attributes: - storageClass :
StorageClass
Methods Summary
assemble(components[, pytype])Construct an object from components based on storageClass. disassemble(composite[, subset, override])Generic implementation of a disassembler. getComponent(composite, componentName)Attempt to retrieve component from composite object by heuristic. getValidComponents(composite)Extract all non-None components from a composite. handleParameters(inMemoryDataset[, parameters])Modify the in-memory dataset using the supplied parameters, returning a possibly new object. Methods Documentation
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assemble(components, pytype=None)¶ Construct an object from components based on storageClass.
This generic implementation assumes that instances of objects can be created either by passing all the components to a constructor or by calling setter methods with the name.
Parameters: - components :
dict Collection of components from which to assemble a new composite object. Keys correspond to composite names in the
StorageClass.- pytype :
type, optional Override the type from the
CompositeAssembler.storageClassto use when assembling the final object.
Returns: - composite :
object New composite object assembled from components.
Raises: - ValueError
Some components could not be used to create the object or, alternatively, some components were not defined in the associated StorageClass.
- components :
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disassemble(composite, subset=None, override=None)¶ Generic implementation of a disassembler.
This implementation attempts to extract components from the parent by looking for attributes of the same name or getter methods derived from the component name.
Parameters: - composite :
object Parent composite object consisting of components to be extracted.
- subset : iterable, optional
Iterable containing subset of components to extract from composite. Must be a subset of those defined in
CompositeAssembler.storageClass.- override :
object, optional Object to use for disassembly instead of parent. This can be useful when called from subclasses that have composites in a hierarchy.
Returns: - components :
dict dictwith keys matching the components defined inCompositeAssembler.storageClassand values beingDatasetComponentinstances describing the component. Returns None if this is not a compositeCompositeAssembler.storageClass.
Raises: - ValueError
A requested component can not be found in the parent using generic lookups.
- TypeError
The parent object does not match the supplied
CompositeAssembler.storageClass.
- composite :
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getComponent(composite, componentName)¶ Attempt to retrieve component from composite object by heuristic.
Will attempt a direct attribute retrieval, or else getter methods of the form “get_componentName” and “getComponentName”.
Parameters: Returns: - component :
object Component extracted from composite.
Raises: - AttributeError
The attribute could not be read from the composite.
- component :
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getValidComponents(composite)¶ Extract all non-None components from a composite.
Parameters: - composite :
object Composite from which to extract components.
Returns: - comps :
dict Non-None components extracted from the composite, indexed by the component name as derived from the
CompositeAssembler.storageClass.
- composite :
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handleParameters(inMemoryDataset, parameters=None)¶ Modify the in-memory dataset using the supplied parameters, returning a possibly new object.
For safety, if any parameters are given to this method an exception will be raised. This is to protect the user from thinking that parameters have been applied when they have not been applied.
Parameters: - inMemoryDataset :
object Object to modify based on the parameters.
- parameters :
dict Parameters to apply. Values are specific to the parameter. Supported parameters are defined in the associated
StorageClass. If no relevant parameters are specified the inMemoryDataset will be return unchanged.
Returns: - inMemoryDataset :
object Updated form of supplied in-memory dataset, after parameters have been used.
Raises: - ValueError
Parameters have been provided to this default implementation.
- inMemoryDataset :
- storageClass :