Coverage for python/lsst/daf/butler/formatters/pexConfigFormatter.py : 29%

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# This file is part of daf_butler. # # Developed for the LSST Data Management System. # This product includes software developed by the LSST Project # (http://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 <http://www.gnu.org/licenses/>.
"""Interface for reading and writing pex.config.Config objects from disk. """
"""Read a pex.config.Config instance from the given file.
Parameters ---------- path : `str` Path to use to open the file. pytype : `class` Class to use to read the config file.
Returns ------- data : `lsst.pex.config.Config` Instance of class `pytype` read from config file. None if the file could not be opened. """ if not os.path.exists(path): return None instance = pytype() # Configs can only be loaded if you use the correct derived type, # but we can't really store the correct derive type in the StorageClass # because that"d be a huge proliferation of StorageClasses. # Instead, we use a bit of a hack: try to load using the base-class # Config, inspect the exception message to obtain the class we should # have used, import that, and try it instead. # TODO: clean this up, somehow. try: instance.load(path) return instance except AssertionError as err: msg = str(err) if not msg.startswith("config is of type"): raise RuntimeError("Unexpected assertion; cannot infer Config class type.") from err actualPyTypeStr = msg.split()[-1] actualPyType = doImport(actualPyTypeStr) instance = actualPyType() instance.load(path) return instance
"""Write the in memory dataset to file on disk.
Parameters ---------- inMemoryDataset : `object` Object to serialize. fileDescriptor : `FileDescriptor` Details of the file to be written.
Raises ------ Exception The file could not be written. """ inMemoryDataset.save(fileDescriptor.location.path) |