def __init__(self, timestamp, caching=False, set_label=None, temp_label='Sample temperature', recalculate=False):
"""Save all data in 'DATA' dict object"""
# Various attributes
self.pickle_format = 'tpd__{}__{}.pickle'
self.exps = {}
#self.caching = True if CACHING is True or caching is True else False
self.caching = caching
if CACHING is not None:
self.caching = CACHING
self.timestamp = {}
self.timestamp['date'] = timestamp
self.timestamp['unix'] = time.mktime(datetime.datetime.strptime(
timestamp, "%Y-%m-%d %H:%M:%S").timetuple())
# Try to load from file
cache_file = []
load_from_pickle = False
if self.caching and not recalculate:
list_of_files = path.os.listdir(CACHE_DIR)
for name in list_of_files:
if name.startswith('tpd__{}__'.format(timestamp)):
cache_file.append(name)
if len(cache_file) == 1:
with open(path.join(CACHE_DIR, cache_file[0]), 'rb') as f:
copy = pickle.load(f)
self.name = copy.name
self.labels = copy.labels
self.data = copy.data
self.exps = copy.exps
load_from_pickle = True
print(' *** Loaded TPD data from pickle: {} ***'.format(self.name))
elif len(cache_file) > 1:
print('Found multiple pickles matching timestamp:\n{}'.format(cache_file))
# Get data from database
if load_from_pickle is False:
# Connect to database
db = Cinfdata('omicron',
use_caching=caching,
grouping_column='time',
)
# Get data in unit seconds
group_data = db.get_data_group(timestamp, scaling_factors=(1E-3, None))
group_meta = db.get_metadata_group(timestamp)
# Get a list of labels and group data
print(group_meta)
self.name = group_meta[list(group_meta.keys())[0]]['Comment'].replace('/', '')
self.labels = [group_meta[key]['mass_label'] for key in group_data.keys()]
self.data = {group_meta[key]['mass_label']: group_data[key] for key in group_data.keys()}
print('Loaded data from Experiment: "{}"'.format(self.name))
self.isolate_experiments(set_label=set_label, temp_label=temp_label)
def __init__(self, timestamp, caching=False):
"""Save all data in 'DATA' dict object"""
# Connect to database
db = Cinfdata('omicron',
use_caching=caching,
grouping_column='time',
)
# Get data in unit seconds
group_data = db.get_data_group(timestamp, scaling_factors=(1E-3, None))
group_meta = db.get_metadata_group(timestamp)
# Get a list of labels and group data
self.name = group_meta[list(group_meta.keys())[0]]['Comment']
self.labels = [group_meta[key]['mass_label'] for key in group_data.keys()]
self.data = {group_meta[key]['mass_label']: group_data[key] for key in group_data.keys()}
print('Loaded data from Experiment: "{}"'.format(self.name))
def __init__(self, timestamp, caching=True):
"""Save all data in 'DATA' dict object"""
# Connect to database
db = Cinfdata('omicron',
use_caching=caching,
grouping_column='time',
)
# Get data in unit seconds
group_data = db.get_data_group(timestamp, scaling_factors=(1E-3, None))
group_meta = db.get_metadata_group(timestamp)
# Get a list of labels and group data
self.name = group_meta[list(group_meta.keys())[0]]['Comment']
self.labels = [group_meta[key]['mass_label'] for key in group_data.keys()]
self.data = {group_meta[key]['mass_label']: group_data[key] for key in group_data.keys()}
print('Loaded data from Experiment: "{}"'.format(self.name))
