Source code for plugin_table_importer
# Copyright (c) 2013, Combine Control Systems AB
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#
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# modification, are permitted provided that the following conditions are met:
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# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
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# documentation and/or other materials provided with the distribution.
# * Neither the name of the Combine Control Systems AB nor the
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#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED.
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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from __future__ import (print_function, division, unicode_literals,
absolute_import)
import warnings
# Ignore a warning from numpy>=1.14 when importing h5py<=2.7.1:
with warnings.catch_warnings():
warnings.simplefilter('ignore')
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(DataImportTable, self).__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