expandUniqueId¶

lsst.daf.butler.tests.expandUniqueId(butler: lsst.daf.butler._butler.Butler, partialId: Mapping[str, Any]) → lsst.daf.butler.core.dimensions._coordinate.DataCoordinate¶

Return a complete data ID matching some criterion.

Parameters:	butler : `lsst.daf.butler.Butler` The repository to query. partialId : `Mapping` [`str`] A mapping of known dimensions and values.
Returns:	dataId : `lsst.daf.butler.DataCoordinate` The unique data ID that matches `partialId`.
Raises:	ValueError Raised if `partialId` does not uniquely identify a data ID.

Notes

This method will only work correctly if all dimensions attached to the target dimension (eg., “physical_filter” for “visit”) are known to the repository, even if they’re not needed to identify a dataset. This function is only suitable for certain kinds of test repositories, and not for repositories intended for real data processing or analysis.

Examples

>>> butler = makeTestRepo(
        "testdir", {"instrument": ["notACam"], "detector": [1]})
>>> expandUniqueId(butler, {"detector": 1})
DataCoordinate({instrument, detector}, ('notACam', 1))

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expandUniqueId¶