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)