def test_datapackage_is_correct(self):
resources_paths = [
'data/valid.csv',
'data/sequential_value.csv',
]
dp = init_datapackage(resources_paths)
assert dp is not None
assert dp.valid, dp.errors
assert len(dp.resources) == 2
actual_resources_paths = [res.descriptor['path'] for res in dp.resources]
assert sorted(resources_paths) == sorted(actual_resources_paths)
def test_init_datapackage_is_correct():
resources_paths = [
'data/valid.csv',
'data/sequential_value.csv',
]
dp = init_datapackage(resources_paths)
assert dp is not None
assert dp.valid, dp.errors
assert len(dp.resources) == 2
actual_resources_paths = [res.descriptor['path'] for res in dp.resources]
assert sorted(resources_paths) == sorted(actual_resources_paths)
def init(paths, output, **kwargs):
"""Init data package from list of files.
It will also infer tabular data's schemas from their contents.
"""
dp = goodtables.init_datapackage(paths)
click.secho(
json_module.dumps(dp.descriptor, indent=4),
file=output
)
exit(dp.valid) # Just to be defensive, as it should always be valid.