Source code for sylib.library.plugins.data.table.importers.plugin_table_importer

# This file is part of Sympathy for Data.
# Copyright (c) 2013, Combine Control Systems AB
#
# Sympathy for Data 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, version 3 of the License.
#
# Sympathy for Data 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 Sympathy for Data.  If not, see <http://www.gnu.org/licenses/>.
import h5py

from sympathy.api import importers
from sympathy.api import table


def all_equal(iterator):
    try:
        iterator = iter(iterator)
        first = next(iterator)
        return all(first == rest for rest in iterator)
    except StopIteration:
        return True


[docs]class DataImportTable(importers.TableDataImporterBase): """Importer for Table files.""" IMPORTER_NAME = "Table" DISPLAY_NAME = 'SyData' def __init__(self, fq_infilename, parameters): super().__init__(fq_infilename, parameters) def name(self): return self.IMPORTER_NAME def valid_for_file(self): """Is fq_filename a valid Table.""" try: can_open_hdf5 = h5py.is_hdf5(self._fq_infilename) except Exception: can_open_hdf5 = False if can_open_hdf5: if self.is_type(): return True valid = True # Fallback method of determining if the data can be considered a # table by data inspection. Can be useful for reading data from # other programs that have the right form. with h5py.File(self._fq_infilename, 'r') as infile: # Filter reserved items items = [infile[name] for name in infile if not name.startswith('__sy_')] # All remaining items must be datasets. valid &= all([isinstance(ds, h5py.Dataset) for ds in items]) # All datasets must have the same length. valid &= all_equal([len(ds) for ds in items]) return valid return False def is_type(self): if not table.is_table('hdf5', self._fq_infilename): return False return True def import_data(self, out_file, parameters=None, progress=None): raise self.invalid_file(self._fq_infilename)