columns.StringColumn(name='license_version',
required=True,
size=25,
truncate=False),
columns.StringColumn(name='creator',
required=False,
size=2000,
truncate=True),
columns.URLColumn(name='creator_url', required=False, size=2000),
columns.StringColumn(name='title',
required=False,
size=5000,
truncate=True),
columns.JSONColumn(name='meta_data', required=False),
columns.JSONColumn(name='tags', required=False),
columns.BooleanColumn(name='watermarked', required=False),
columns.StringColumn(name='provider',
required=False,
size=80,
truncate=False),
columns.StringColumn(name='source',
required=False,
size=80,
truncate=False)
]
Image = namedtuple('Image', [c.NAME for c in _IMAGE_TSV_COLUMNS])
# Filter out tags that exactly match these terms. All terms should be
# lowercase.
TAG_BLACKLIST = {'no person', 'squareformat'}
def test_BooleanColumn_prepare_string_casts_falselike():
bc = columns.BooleanColumn('test', False)
falselike_values = [False, 'false', 'False', 'f', 'F']
assert all([bc.prepare_string(v) == 'f' for v in falselike_values])
def test_BooleanColumn_prepare_string_leaves_f():
bc = columns.BooleanColumn('test', False)
actual_bool = bc.prepare_string('f')
expect_bool = 'f'
assert actual_bool == expect_bool
def test_BooleanColumn_prepare_string_casts_truthlike():
bc = columns.BooleanColumn('test', False)
truthlike_values = [True, 'true', 'True', 't', 'T']
assert all([bc.prepare_string(v) == 't' for v in truthlike_values])
def test_BooleanColumn_prepare_string_falls_back_to_none():
bc = columns.BooleanColumn('test', False)
actual_bool = bc.prepare_string('g')
expect_bool = None
assert actual_bool == expect_bool