def set_table_schema(self, package, tabular_schema):
"""
Add a table schema to a tabular package.
tabular_schema: blackfynn.tabular.models.TabularSchema
"""
id = self._get_id(package)
path = self._uri('/{id}/schema', id=id)
if isinstance(tabular_schema, TabularSchema):
body = {'schema': tabular_schema.as_dict()}
else:
body = {'schema': tabular_schema}
resp = self._post(path, json=body)
data = resp
return TabularSchema.from_dict(data)
def test_search(client, dataset):
# create
ts = TimeSeries('Human EEG')
assert not ts.exists
dataset.add(ts)
assert ts.exists
assert ts in dataset
assert ts.type == 'TimeSeries'
assert ts.name == 'Human EEG'
ts2 = client.get(ts.id)
assert ts2.id == ts.id
assert ts2.name == ts.name
assert ts2.type == 'TimeSeries'
del ts2
t = Tabular('Some tabular data')
assert not t.exists
assert t.schema is None
# create
dataset.add(t)
assert t.exists
assert t.schema is None
schema = [
TabularSchemaColumn(name='',
display_name='index',
datatype='Integer',
primary_key=True,
internal=True),
TabularSchemaColumn(name='',
display_name='email',
datatype='String',
primary_key=False,
internal=False),
]
s = TabularSchema(name="schema", column_schema=schema)
t.set_schema(s)
assert t.name == 'Some tabular data'
assert t.exists
a = t.get_schema()
assert a.exists
a = client.search('email')
def get_table_schema(self, package):
id = self._get_id(package)
path = self._uri('/{id}/schema', id=id)
resp = self._get(path)
return TabularSchema.from_dict(resp)