def test_timezone_maccor(self):
raw_cycler_run = RawCyclerRun.from_maccor_file(
self.maccor_file_timezone, include_eis=False)
# Simple test of whether or not correct number of columns is parsed for data/metadata
self.assertEqual(
set(raw_cycler_run.metadata.keys()), {
"barcode", "_today_datetime", "start_datetime", "filename",
"protocol", "channel_id"
})
self.assertEqual(10, raw_cycler_run.metadata['channel_id'])
# self.assertIsNotNone(raw_cycler_run.eis)
# Test filename recognition
raw_cycler_run = RawCyclerRun.from_file(self.maccor_file)
self.assertEqual(
set(raw_cycler_run.metadata.keys()), {
"barcode", "_today_datetime", "start_datetime", "filename",
"protocol", "channel_id"
})
# Quick test to see whether columns get recasted
self.assertTrue({
"data_point", "cycle_index", "step_index", "voltage",
"temperature", "current", "charge_capacity", "discharge_capacity"
} < set(raw_cycler_run.data.columns))
def test_interpolated_cycles_dtypes(self):
cycler_run = RawCyclerRun.from_file(self.arbin_file)
all_interpolated = cycler_run.get_interpolated_cycles()
cycles_interpolated_dyptes = all_interpolated.dtypes.tolist()
cycles_interpolated_columns = all_interpolated.columns.tolist()
cycles_interpolated_dyptes = [
str(dtyp) for dtyp in cycles_interpolated_dyptes
]
for indx, col in enumerate(cycles_interpolated_columns):
self.assertEqual(
cycles_interpolated_dyptes[indx],
STRUCTURE_DTYPES["cycles_interpolated"][col],
)
cycler_run = RawCyclerRun.from_maccor_file(
self.maccor_file_w_diagnostics, include_eis=False)
all_interpolated = cycler_run.get_interpolated_cycles()
cycles_interpolated_dyptes = all_interpolated.dtypes.tolist()
cycles_interpolated_columns = all_interpolated.columns.tolist()
cycles_interpolated_dyptes = [
str(dtyp) for dtyp in cycles_interpolated_dyptes
]
for indx, col in enumerate(cycles_interpolated_columns):
self.assertEqual(
cycles_interpolated_dyptes[indx],
STRUCTURE_DTYPES["cycles_interpolated"][col],
)
def test_quantity_sum_maccor(self):
raw_cycler_run = RawCyclerRun.from_maccor_file(self.maccor_file_w_diagnostics, include_eis=False)
cycle_sign = np.sign(np.diff(raw_cycler_run.data['cycle_index']))
capacity_sign = np.sign(np.diff(raw_cycler_run.data['charge_capacity']))
self.assertTrue(np.all(capacity_sign >= -cycle_sign)) # Capacity increases throughout cycle
capacity_sign = np.sign(np.diff(raw_cycler_run.data['discharge_capacity']))
self.assertTrue(np.all(capacity_sign >= -cycle_sign)) # Capacity increases throughout cycle
def test_summary_dtypes(self):
cycler_run = RawCyclerRun.from_file(self.arbin_file)
all_summary = cycler_run.get_summary()
reg_dyptes = all_summary.dtypes.tolist()
reg_columns = all_summary.columns.tolist()
reg_dyptes = [str(dtyp) for dtyp in reg_dyptes]
for indx, col in enumerate(reg_columns):
self.assertEqual(reg_dyptes[indx], STRUCTURE_DTYPES['summary'][col])
cycler_run = RawCyclerRun.from_maccor_file(self.maccor_file_w_diagnostics, include_eis=False)
all_summary = cycler_run.get_summary()
reg_dyptes = all_summary.dtypes.tolist()
reg_columns = all_summary.columns.tolist()
reg_dyptes = [str(dtyp) for dtyp in reg_dyptes]
for indx, col in enumerate(reg_columns):
self.assertEqual(reg_dyptes[indx], STRUCTURE_DTYPES['summary'][col])