Coverage for tests/butler_utils.py : 29%

Hot-keys on this page
r m x p toggle line displays
j k next/prev highlighted chunk
0 (zero) top of page
1 (one) first highlighted chunk
# This file is part of verify. # # Developed for the LSST Data Management System. # This product includes software developed by the LSST Project # (https://www.lsst.org). # See the COPYRIGHT file at the top-level directory of this distribution # for details of code ownership. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>.
# TODO: factor this out into a pipeline testing library """Create an empty repository with default configuration.
Parameters ---------- root : `str` The location of the root directory for the repository. data_ids : `dict` [`str`, `iterable` [`dict`]] A dictionary keyed by the dimensions used in the test. Each value is a dictionary of fields and values for that dimension. See :file:`daf/butler/config/dimensions.yaml` for required fields, listed as "keys" and "requires" under each dimension's entry.
Returns ------- butler : `lsst.daf.butler.Butler` A Butler referring to the new repository. """ # TODO: takes 5 seconds to run; split up into class-level Butler # with test-level runs after DM-21246 Butler.makeRepo(root) butler = Butler(root, run="test") for dimension, values in data_ids.items(): butler.registry.insertDimensionData(dimension, *values) return butler
"""Create a dataset type in a particular repository.
Parameters ---------- butler : `lsst.daf.butler.Butler` The repository to update. name : `str` The name of the dataset type. dimensions : `set` [`str`] The dimensions of the new dataset type. storageClass : `str` The storage class the dataset will use.
Returns ------- dataset_type : `lsst.daf.butler.DatasetType` The new type.
Raises ------ ValueError Raised if the dimensions or storage class are invalid. ConflictingDefinitionError Raised if another dataset type with the same name already exists. """ dataset_type = DatasetType(name, dimensions, storageClass, universe=butler.registry.dimensions) butler.registry.registerDatasetType(dataset_type) return dataset_type |