CalibrationMapping

class lsst.obs.base.CalibrationMapping(datasetType, policy, registry, calibRegistry, calibRoot, dataRoot=None, **kwargs)

Bases: lsst.obs.base.Mapping

CalibrationMapping is a Mapping subclass for calibration-type products.

The difference is that data properties in the query or template can be looked up using a reference Mapping in addition to this one.

CalibrationMapping Policies can contain the following:

reference (string, optional)

a list of tables for finding missing dataset identifier components (including the observation time, if a validity range is required) in the exposure registry; note that the “tables” entry refers to the calibration registry

refCols (string, optional)

a list of dataset properties required from the reference tables for lookups in the calibration registry

validRange (bool)

true if the calibration dataset has a validity range specified by a column in the tables of the reference dataset in the exposure registry) and two columns in the tables of this calibration dataset in the calibration registry)

obsTimeName (string, optional)

the name of the column in the reference dataset tables containing the observation time (default “taiObs”)

validStartName (string, optional)

the name of the column in the calibration dataset tables containing the start of the validity range (default “validStart”)

validEndName (string, optional)

the name of the column in the calibration dataset tables containing the end of the validity range (default “validEnd”)

Parameters:

datasetType : str

Butler dataset type to be mapped.

policy : daf_persistence.Policy

Mapping Policy.

registry : lsst.obs.base.Registry

Registry for metadata lookups

calibRegistry : lsst.obs.base.Registry

Registry for calibration metadata lookups.

calibRoot : str

Path of calibration root directory.

dataRoot : str

Path of data root directory; used for outputs only.

Attributes Summary

template

Methods Summary

have(properties, dataId)	Returns whether the provided data identifier has all the properties in the provided list.
keys()	Return the dict of keys and value types required for this mapping.
lookup(properties, dataId)	Look up properties for in a metadata registry given a partial dataset identifier.
map(mapper, dataId[, write])	Standard implementation of map function.
need(properties, dataId)	Ensures all properties in the provided list are present in the data identifier, looking them up as needed.
standardize(mapper, item, dataId)

Attributes Documentation

template

Methods Documentation

have(properties, dataId)

Returns whether the provided data identifier has all the properties in the provided list.

Parameters:

properties : list of `str

Properties required.

dataId : dict

Dataset identifier.

Returns:

bool

True if all properties are present.

keys()

Return the dict of keys and value types required for this mapping.

lookup(properties, dataId)

Look up properties for in a metadata registry given a partial dataset identifier.

Parameters:

properties : list of str

Properties to look up.

dataId : dict

Dataset identifier.

Returns:

`list` of `tuple`

Values of properties.

map(mapper, dataId, write=False)

Standard implementation of map function.

Parameters:

mapper: `lsst.daf.persistence.Mapper`

Object to be mapped.

dataId: `dict`

Dataset identifier.

Returns:

lsst.daf.persistence.ButlerLocation

Location of object that was mapped.

need(properties, dataId)

Ensures all properties in the provided list are present in the data identifier, looking them up as needed. This is only possible for the case where the data identifies a single exposure.

Parameters:

properties : list of str

Properties required.

dataId : dict

Partial dataset identifier

Returns:

`dict`

Copy of dataset identifier with enhanced values.

standardize(mapper, item, dataId)