Formatter¶
-
class
lsst.daf.butler.
Formatter
(fileDescriptor: lsst.daf.butler.core.fileDescriptor.FileDescriptor)¶ Bases:
object
Interface for reading and writing Datasets with a particular
StorageClass
.Parameters: - fileDescriptor :
FileDescriptor
, optional Identifies the file to read or write, and the associated storage classes and parameter information. Its value can be
None
if the caller will never callFormatter.read
orFormatter.write
.
Attributes Summary
fileDescriptor
FileDescriptor associated with this formatter ( FileDescriptor
, read-only)unsupportedParameters
Set of parameters not understood by this Formatter
.Methods Summary
fromBytes
(serializedDataset, component)Reads serialized data into a Dataset or its component. name
()Returns the fully qualified name of the formatter. predictPath
()Return the path that would be returned by write, without actually writing. predictPathFromLocation
(location)Return the path that would be returned by write, without actually writing. read
(component)Read a Dataset. segregateParameters
(parameters, Any]] = None)Segregate the supplied parameters into those understood by the formatter and those not understood by the formatter. toBytes
(inMemoryDataset)Serialize the Dataset to bytes based on formatter. write
(inMemoryDataset)Write a Dataset. Attributes Documentation
-
fileDescriptor
¶ FileDescriptor associated with this formatter (
FileDescriptor
, read-only)
-
unsupportedParameters
= frozenset()¶ Set of parameters not understood by this
Formatter
. An empty set means all parameters are supported.None
indicates that no parameters are supported (frozenset
).
Methods Documentation
-
fromBytes
(serializedDataset: bytes, component: Optional[str] = None) → object¶ Reads serialized data into a Dataset or its component.
Parameters: - serializedDataset :
bytes
Bytes object to unserialize.
- component :
str
, optional Component to read from the Dataset. Only used if the
StorageClass
for reading differed from theStorageClass
used to write the file.
Returns: - inMemoryDataset :
object
The requested data as a Python object. The type of object is controlled by the specific formatter.
- serializedDataset :
-
classmethod
name
() → str¶ Returns the fully qualified name of the formatter.
Returns: - name :
str
Fully-qualified name of formatter class.
- name :
-
predictPath
() → str¶ Return the path that would be returned by write, without actually writing.
Uses the
FileDescriptor
associated with the instance.Returns:
-
classmethod
predictPathFromLocation
(location: lsst.daf.butler.core.location.Location) → str¶ Return the path that would be returned by write, without actually writing.
Parameters: - location :
Location
Location of file for which path prediction is required.
Returns: - path :
str
Path within datastore that would be associated with this location.
- location :
-
read
(component: Optional[str] = None) → object¶ Read a Dataset.
Parameters: - component :
str
, optional Component to read from the file. Only used if the
StorageClass
for reading differed from theStorageClass
used to write the file.
Returns: - inMemoryDataset :
object
The requested Dataset.
- component :
-
segregateParameters
(parameters: Optional[Dict[str, Any]] = None) → Tuple[Dict[KT, VT], Dict[KT, VT]]¶ Segregate the supplied parameters into those understood by the formatter and those not understood by the formatter.
Any unsupported parameters are assumed to be usable by associated assemblers.
Parameters: - parameters :
dict
, optional Parameters with values that have been supplied by the caller and which might be relevant for the formatter. If
None
parameters will be read from the registeredFileDescriptor
.
Returns: - parameters :
- fileDescriptor :