def get_all(self):
timestamp = a_tools.latest_data(contains='Define_vector_v1',
return_timestamp=True)[0]
# Note: if this fails during the initialization just copy an old
# folder with that name (and 0 field) into your data directory.
# Don't make a try-except statement here to prevent unintentional
# and wrong definitions of the vectors
params_dict = {'v1': 'Magnet.v1'}
data = a_tools.get_data_from_timestamp_list([timestamp],
params_dict,
filter_no_analysis=False)
v1 = np.fromstring(data['v1'][0][1:-1], dtype=float, sep=' ')
self.v1(v1)
timestamp = a_tools.latest_data(contains='Define_vector_v2',
return_timestamp=True)[0]
params_dict = {'v2': 'Magnet.v2'}
data = a_tools.get_data_from_timestamp_list([timestamp],
params_dict,
filter_no_analysis=False)
v2 = np.fromstring(data['v2'][0][1:-1], dtype=float, sep=' ')
self.switch_state()
self.v2(v2)
self.field_vector()
self.field()
self.angle()
self.field_steps()
def extract_data(self):
self.TD_timestamps = a_tools.get_timestamps_in_range(self.t_start, self.t_stop, label=self.labels)
if len(self.TD_timestamps) < 1:
raise ValueError("No timestamps in range! Check the labels and other filters.")
self.TD_dict = a_tools.get_data_from_timestamp_list(self.TD_timestamps, self.params_dict_TD, numeric_params=self.numeric_params)
# Use timestamps to calculate datetimes and add to dictionary
self.TD_dict['datetime'] = [a_tools.datetime_from_timestamp(timestamp) for timestamp in self.TD_dict['timestamps']]
def get_angle(self):
# return 0.0 # Only add this line when doing the first initialization!
if self.switch_state_z() == 'SuperConducting':
## get the persistent field from the HDF5 file
timestamp = atools.latest_data(
contains='Switch_Z_is_changed_to_SuperConducting_state',
return_timestamp=True)[0]
params_dict = {'field_z': 'Magnet.field_z'}
numeric_params = ['field_z']
data = a_tools.get_data_from_timestamp_list(
[timestamp],
params_dict,
numeric_params=numeric_params,
filter_no_analysis=False)
field_val_z = data['field_z'][0]
else: ## Normal conducting
field_val_z = self.measure_field_z()
if self.switch_state_y() == 'SuperConducting':
## get the persistent field from the HDF5 file
timestamp = atools.latest_data(
contains='Switch_Y_is_changed_to_SuperConducting_state',
return_timestamp=True)[0]
params_dict = {'field_y': 'Magnet.field_y'}
numeric_params = ['field_y']
data = a_tools.get_data_from_timestamp_list(
[timestamp],
params_dict,
numeric_params=numeric_params,
filter_no_analysis=False)
field_val_y = data['field_y'][0]
else: ## Normal conducting
field_val_y = self.measure_field_y()
field = np.sqrt(field_val_z**2 + field_val_y**2)
if field == 0:
return 0
elif field_val_z >= 0:
return np.arcsin(field_val_y / field) * 360. / (2 * np.pi)
else:
return -np.arcsin(field_val_y / field) * 360. / (2 * np.pi)
def extract_data(self):
self.TD_timestamps = self.t_list
if len(self.TD_timestamps) < 1:
raise ValueError(
"No timestamps in range! Check the labels and other filters.")
self.TD_dict = a_tools.get_data_from_timestamp_list(
self.TD_timestamps,
self.params_dict_TD,
numeric_params=self.numeric_params)
# Use timestamps to calculate datetimes and add to dictionary
self.TD_dict['datetime'] = [
a_tools.datetime_from_timestamp(timestamp)
for timestamp in self.TD_dict['timestamps']
]
def get_field_y(self):
# return 0.0 # Only add this line when doing the first initialization!
if self.switch_state_y() == 'SuperConducting':
## get the persistent field from the HDF5 file
timestamp = atools.latest_data(
contains='Switch_Y_is_changed_to_SuperConducting_state',
return_timestamp=True)[0]
params_dict = {'field': 'Magnet.field_y'}
numeric_params = ['field']
data = a_tools.get_data_from_timestamp_list(
[timestamp],
params_dict,
numeric_params=numeric_params,
filter_no_analysis=False)
return data['field'][0]
else: ## Normal conducting
meas_field = self.measure_field_y()
return meas_field
