def test_import(self):
# TODO: create a test to check that we aren't using an insert
# statement for import that assumes a column value from the previous
# insert values, could probably create an insert statement from a
# row in the test data and then create an insert statement from some
# other dummy data that has different columns from the test data and
# see if any of the columns from the second insert statement has values
# from the first statement
# TODO: this test doesn't really test yet that any of the data was
# correctly imported or exported, only that export and importing
# run successfuly
# 1. write the test data to a temporary file or files
# 2. import the data and make sure the objects match field for field
# the exporters and importers show logging information, turn it off
logging.getLogger('bauble.info').setLevel(logging.ERROR)
import tempfile
tempdir = tempfile.mkdtemp()
# export all the testdata
exporter = CSVExporter()
exporter.start(tempdir)
# import all the files in the temp directory
filenames = os.listdir(tempdir)
importer = CSVImporter()
# import twice to check for regression Launchpad #???
importer.start([os.path.join(tempdir, name) for name in filenames],
force=True)
importer.start([os.path.join(tempdir, name) for name in filenames],
force=True)
def test_export_none_is_empty(self):
"""
Test exporting a None column exports a ''
"""
species = Species(genus_id=1, sp='sp')
from tempfile import mkdtemp
temp_path = mkdtemp()
exporter = CSVExporter()
exporter.start(temp_path)
f = open(os.path.join(temp_path, 'species.txt'))
reader = csv.DictReader(f, dialect=csv.excel)
row = reader.next()
self.assert_(row['cv_group'] == '')
def test_export_none_is_empty(self):
"""
Test exporting a None column exports a ''
"""
species = Species(genus_id=1, sp='sp')
self.assertTrue(species is not None)
from tempfile import mkdtemp
temp_path = mkdtemp()
exporter = CSVExporter()
exporter.start(temp_path)
f = open(os.path.join(temp_path, 'species.txt'))
reader = csv.DictReader(f, dialect=csv.excel)
row = reader.next()
self.assert_(row['cv_group'] == '')