def _setup_stored_datadict_and_recordset(): stored_datadict = DataDictionary( testdata.get_stored_neurogap_metadata_response()) stored_recordset = RecordSet( primary_key="subjid", records=testdata.get_stored_neurogap_record_response(), ) return (stored_datadict, stored_recordset)
def _setup_stored_datadict_and_record(): stored_datadict = DataDictionary( testdata.get_stored_neurogap_metadata_response()) # stored_record_response has all observations; take 0th so we can # work on an individual record instead of a recordset stored_record = Record( primary_key="subjid", data=testdata.get_stored_neurogap_record_response()[0], ) return (stored_datadict, stored_record)
def test_create_DataDictionary_from_test_data(): ddraw = testdata.get_fake_datadict_response() dd = DataDictionary(ddraw) testdata_cols = { "field_name", "form_name", "branching_logic", "required_field", } assert set(dd.columns) == testdata_cols
def _setup_neurogap_practice_DataDictionary(): return DataDictionary(testdata.get_stored_neurogap_metadata_response())
def _setup_testdata_DataDictionary(): ddraw = testdata.get_fake_datadict_response() return DataDictionary(ddraw)