def test_build_schema(self):
illegal_col_regex = re.compile(r'\W|[A-Z]')
for dataset_name in self.TEST_DATASETS:
dataset = Dataset.create(self.test_dataset_ids[dataset_name])
Dataset.build_schema(dataset,
self.test_data[dataset_name].dtypes)
# get dataset with new schema
dataset = Dataset.find_one(self.test_dataset_ids[dataset_name])
for key in [CREATED_AT, SCHEMA, UPDATED_AT]:
self.assertTrue(key in dataset.keys())
df_columns = self.test_data[dataset_name].columns.tolist()
seen_columns = []
for column_name, column_attributes in dataset[SCHEMA].items():
# check column_name is unique
self.assertFalse(column_name in seen_columns)
seen_columns.append(column_name)
# check column name is only legal chars
self.assertFalse(illegal_col_regex.search(column_name))
# check has require attributes
self.assertTrue(SIMPLETYPE in column_attributes)
self.assertTrue(OLAP_TYPE in column_attributes)
self.assertTrue(LABEL in column_attributes)
# check label is an original column
self.assertTrue(column_attributes[LABEL] in df_columns)
df_columns.remove(column_attributes[LABEL])
# ensure all columns in df_columns have store columns
self.assertTrue(len(df_columns) == 0)
def test_update(self):
for dataset_name in self.TEST_DATASETS:
dataset = Dataset.create(self.test_dataset_ids[dataset_name])
self.assertFalse('field' in dataset)
Dataset.update(dataset, {'field': {'key': 'value'}})
dataset = Dataset.find_one(self.test_dataset_ids[dataset_name])
self.assertTrue('field' in dataset)
self.assertEqual(dataset['field'], {'key': 'value'})
def create_dataset_from_csv(csv_file):
"""
Create a dataset from the uploaded .csv file.
"""
dataset_id = uuid.uuid4().hex
dataset = Dataset.create(dataset_id)
# need to write out to a named tempfile in order
# to get a handle in order for pandas read_csv
with tempfile.NamedTemporaryFile() as tmpfile:
tmpfile.write(read_uploaded_file(csv_file))
import_dataset(tmpfile.name, dataset)
return {ID: dataset_id}
def create_dataset_from_url(url, allow_local_file=False):
"""
Load a URL, read from a CSV, create a dataset and return the unique ID.
"""
_file = None
try:
_file = open_data_file(url, allow_local_file)
except (IOError, urllib2.HTTPError):
# error reading file/url, return
pass
if not _file:
# could not get a file handle
return {ERROR: 'could not get a filehandle for: %s' % url}
dataset_id = uuid.uuid4().hex
dataset = Dataset.create(dataset_id)
import_dataset(_file, dataset)
return {ID: dataset_id}
def test_create(self):
for dataset_name in self.TEST_DATASETS:
dataset = Dataset.create(self.test_dataset_ids[dataset_name])
self.assertTrue(isinstance(dataset, dict))