FitsExposureFormatter¶

class lsst.obs.base.formatters.fitsExposure.FitsExposureFormatter(fileDescriptor: FileDescriptor, dataId: Optional[DataCoordinate] = None, writeParameters: Optional[Dict[str, Any]] = None, writeRecipes: Optional[Dict[str, Any]] = None)¶

Bases: lsst.daf.butler.Formatter

Interface for reading and writing Exposures to and from FITS files.

This Formatter supports write recipes.

Each FitsExposureFormatter recipe for FITS compression should define image, mask and variance entries, each of which may contain compression and scaling entries. Defaults will be provided for any missing elements under compression and scaling.

The allowed entries under compression are:

algorithm (str): compression algorithm to use
rows (int): number of rows per tile (0 = entire dimension)
columns (int): number of columns per tile (0 = entire dimension)
quantizeLevel (float): cfitsio quantization level

The allowed entries under scaling are:

algorithm (str): scaling algorithm to use
bitpix (int): bits per pixel (0,8,16,32,64,-32,-64)
fuzz (bool): fuzz the values when quantising floating-point values?
seed (int): seed for random number generator when fuzzing
maskPlanes (list of str): mask planes to ignore when doing statistics
quantizeLevel (float): divisor of the standard deviation for STDEV_* scaling
quantizePad (float): number of stdev to allow on the low side (for STDEV_POSITIVE/NEGATIVE)
bscale (float): manually specified BSCALE (for MANUAL scaling)
bzero (float): manually specified BSCALE (for MANUAL scaling)

A very simple example YAML recipe:

lsst.obs.base.fitsExposureFormatter.FitsExposureFormatter:
  default:
    image: &default
      compression:
        algorithm: GZIP_SHUFFLE
    mask: *default
    variance: *default

Attributes Summary

`dataId`	DataId associated with this formatter (`DataCoordinate`)
`extension`
`fileDescriptor`	FileDescriptor associated with this formatter (`FileDescriptor`, read-only)
`metadata`	The metadata read from this file.
`supportedExtensions`
`supportedWriteParameters`
`unsupportedParameters`	Support all parameters.
`writeParameters`	Parameters to use when writing out datasets.
`writeRecipes`	Detailed write Recipes indexed by recipe name.

Methods Summary

`can_read_bytes`()	Indicate if this formatter can format from bytes.
`fromBytes`(serializedDataset, component)	Reads serialized data into a Dataset or its component.
`getImageCompressionSettings`(recipeName)	Retrieve the relevant compression settings for this recipe.
`makeUpdatedLocation`(location)	Return a new `Location` instance updated with this formatter’s extension.
`name`()	Returns the fully qualified name of the formatter.
`predictPath`()	Return the path that would be returned by write, without actually writing.
`read`([component])	Read data from a file.
`readComponent`(component[, parameters])	Read a component held by the Exposure.
`readFull`([parameters])	Read the full Exposure object.
`readMetadata`()	Read all header metadata directly into a PropertyList.
`segregateParameters`(parameters, Any]] = None)	Segregate the supplied parameters into those understood by the formatter and those not understood by the formatter.
`stripMetadata`()	Remove metadata entries that are parsed into components.
`toBytes`(inMemoryDataset)	Serialize the Dataset to bytes based on formatter.
`validateExtension`(location)	Check that the provided location refers to a file extension that is understood by this formatter.
`validateWriteRecipes`(recipes)	Validate supplied recipes for this formatter.
`write`(inMemoryDataset)	Write a Python object to a file.

Attributes Documentation

dataId¶: DataId associated with this formatter (DataCoordinate)

extension = '.fits'¶

fileDescriptor¶: FileDescriptor associated with this formatter (FileDescriptor, read-only)

metadata¶: The metadata read from this file. It will be stripped as components are extracted from it (lsst.daf.base.PropertyList).

supportedExtensions = frozenset({'.fits.fz', '.fits.gz', '.fit', '.fits', '.fz'})¶

supportedWriteParameters = frozenset({'recipe'})¶

unsupportedParameters = {}¶: Support all parameters.

writeParameters¶: Parameters to use when writing out datasets.

writeRecipes¶: Detailed write Recipes indexed by recipe name.

Methods Documentation

classmethod can_read_bytes() → bool¶

Indicate if this formatter can format from bytes.

Returns:	can : `bool` `True` if the `fromBytes` method is implemented.

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 the `StorageClass` 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.

getImageCompressionSettings(recipeName)¶

Retrieve the relevant compression settings for this recipe.

Parameters:	recipeName : `str` Label associated with the collection of compression parameters to select.
Returns:	settings : `dict` The selected settings.

makeUpdatedLocation(location: lsst.daf.butler.core.location.Location) → lsst.daf.butler.core.location.Location¶

Return a new Location instance updated with this formatter’s extension.

Parameters:	location : `Location` The location to update.
Returns:	updated : `Location` A new `Location` with a new file extension applied.
Raises:	NotImplementedError Raised if there is no `extension` attribute associated with this formatter.

Notes

This method is available to all Formatters but might not be implemented by all formatters. It requires that a formatter set an extension attribute containing the file extension used when writing files. If extension is None the supplied file will not be updated. Not all formatters write files so this is not defined in the base class.

classmethod name() → str¶

Returns the fully qualified name of the formatter.

Returns:	name : `str` Fully-qualified name of formatter class.

predictPath() → str¶

Return the path that would be returned by write, without actually writing.

Uses the FileDescriptor associated with the instance.

Returns:	path : `str` Path within datastore that would be associated with the location stored in this `Formatter`.

read(component=None)¶

Read data from a file.

Parameters:	component : `str`, optional Component to read from the file. Only used if the `StorageClass` for reading differed from the `StorageClass` 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.
Raises:	ValueError Component requested but this file does not seem to be a concrete composite. KeyError Raised when parameters passed with fileDescriptor are not supported.

readComponent(component, parameters=None)¶

Read a component held by the Exposure.

Parameters:	component : `str`, optional Component to read from the file. parameters : `dict`, optional If specified, a dictionary of slicing parameters that overrides those in `fileDescriptor`.
Returns:	obj : component-dependent In-memory component object.
Raises:	KeyError Raised if the requested component cannot be handled.

readFull(parameters=None)¶

Read the full Exposure object.

Parameters:	parameters : `dict`, optional If specified a dictionary of slicing parameters that overrides those in `fileDescriptor`.
Returns:	exposure : `Exposure` Complete in-memory exposure.

readMetadata()¶

Read all header metadata directly into a PropertyList.

Returns:	metadata : `PropertyList` Header metadata.

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 registered `FileDescriptor`.
Returns:	supported : `dict` Those parameters supported by this formatter. unsupported : `dict` Those parameters not supported by this formatter.

stripMetadata()¶

Remove metadata entries that are parsed into components.

This is only called when just the metadata is requested; stripping entries there forces code that wants other components to ask for those components directly rather than trying to extract them from the metadata manually, which is fragile. This behavior is an intentional change from Gen2.

Parameters:	metadata : `PropertyList` Header metadata, to be modified in-place.

toBytes(inMemoryDataset: Any) → bytes¶

Serialize the Dataset to bytes based on formatter.

Parameters:	inMemoryDataset : `object` The Python object to serialize.
Returns:	serializedDataset : `bytes` Bytes representing the serialized dataset.

classmethod validateExtension(location: lsst.daf.butler.core.location.Location) → None¶

Check that the provided location refers to a file extension that is understood by this formatter.

Parameters:	location : `Location` Location from which to extract a file extension.
Raises:	NotImplementedError Raised if file extensions are a concept not understood by this formatter. ValueError Raised if the formatter does not understand this extension.

Notes

This method is available to all Formatters but might not be implemented by all formatters. It requires that a formatter set an extension attribute containing the file extension used when writing files. If extension is None only the set of supported extensions will be examined.

classmethod validateWriteRecipes(recipes)¶

Validate supplied recipes for this formatter.

The recipes are supplemented with default values where appropriate.

TODO: replace this custom validation code with Cerberus (DM-11846)

Parameters:	recipes : `dict` Recipes to validate. Can be empty dict or `None`.
Returns:	validated : `dict` Validated recipes. Returns what was given if there are no recipes listed.
Raises:	RuntimeError Raised if validation fails.

write(inMemoryDataset)¶

Write a Python object to a file.

Parameters:	inMemoryDataset : `object` The Python object to store.

Navigation

FitsExposureFormatter¶