class WattrLib(object):
db_queue = Queue.Queue()
serial_queue = Queue.Queue()
db_thread = None
serial_thread = None
preferences = None
data_field_names = [
'flags', 'epoch', 'voltage', 'current', 'period', 'active_power',
'reactive_power', 'apparent_power', 'phase_angle', 'power_factor'
]
realtime_store = RealTimeStore()
realtime_thread = None
realtime_listeners = 0
def __init__(self):
super(WattrLib, self).__init__()
self.preferences = PyPreferences('wattr')
def start_threads(self, serial_path, database_idle_func=None):
assert 'db_path' in self.preferences
assert serial_path
self.db_thread = DatabaseThread(self.preferences['db_path'],
self.db_queue, database_idle_func)
self.db_thread.start()
self.serial_thread = SerialThread(serial_path, self.serial_queue, self)
self.serial_thread.start()
def stop_threads(self):
self.db_thread.join()
self.serial_thread.join()
def is_database_defined(self):
if 'db_path' in self.preferences:
return os.path.isfile(self.preferences['db_path'])
def set_database_path(self, path):
self.preferences['db_path'] = path
def insert_data(self, tuple_list):
task = SQLiteInsertTask()
task.set_values(tuple_list)
self.db_queue.put(task)
def dump_data(self, start_time, end_time, path):
def listener_function(task):
results = [dict(row) for row in task.get_result()]
with open(path, 'w+') as csv_file:
writer = csv.DictWriter(csv_file, self.data_field_names)
writer.writeheader()
writer.writerows(results)
task = SQLiteSelectTask(listener=listener_function)
task.set_row_factory(sqlite3.Row)
task.set_parameters({'start_time': start_time, 'end_time': end_time})
self.db_queue.put(task)
def get_data_stats(self, start_time, end_time, handler_function):
def stat_func(task):
rows = task.get_result()
if not rows:
return
rows = numpy.asarray(rows)
means = numpy.mean(rows, axis=0)
medians = numpy.median(rows, axis=0)
modes = scipy.stats.mode(rows, axis=0)[0][0]
maximums = numpy.nanmax(rows, axis=0)
minimums = numpy.nanmin(rows, axis=0)
std = numpy.std(rows, axis=0)
#Zips for histograms
zipped = zip(*rows)
voltages = zipped[0]
currents = zipped[1]
periods = zipped[2]
active_powers = zipped[3]
reactive_powers = zipped[4]
apparent_powers = zipped[5]
phase_angles = zipped[6]
power_factors = zipped[7]
handler_function(means,
medians,
modes,
maximums,
minimums,
std,
voltages=voltages,
currents=currents,
periods=periods,
active_powers=active_powers,
reactive_powers=reactive_powers,
apparent_powers=apparent_powers,
phase_angles=phase_angles,
power_factors=power_factors)
task = SQLiteSelectDataTask(listener=stat_func)
parameters = {
'start_time': start_time,
'end_time': end_time,
}
task.set_parameters(parameters)
self.db_queue.put(task)
def get_realtime_store(self):
return self.realtime_store
def start_realtime_collection(self):
self.should_collect_realtime = True
self.realtime_listeners += 1
if not self.realtime_thread:
self.realtime_thread = RealTimeThread(self)
self.realtime_thread.start()
def stop_realtime_collection(self):
self.realtime_listeners -= 1
if self.realtime_listeners <= 0:
self._stop_realtime_collection()
self.realtime_thread = None
def _stop_realtime_collection(self):
self.realtime_thread.join()
self.realtime_store.clear()
def get_realtime_data(self, since, listener_func):
task = SQLiteSelectDataSinceTask(listener=listener_func)
task.set_parameters({'since_time': since})
self.db_queue.put(task)
class WattrLib(object):
db_queue = Queue.Queue()
serial_queue = Queue.Queue()
db_thread = None
serial_thread = None
preferences = None
data_field_names = [
'flags',
'epoch',
'voltage',
'current',
'period',
'active_power',
'reactive_power',
'apparent_power',
'phase_angle',
'power_factor'
]
realtime_store = RealTimeStore()
realtime_thread = None
realtime_listeners = 0
def __init__(self):
super(WattrLib, self).__init__()
self.preferences = PyPreferences('wattr')
def start_threads(self, serial_path, database_idle_func=None):
assert 'db_path' in self.preferences
assert serial_path
self.db_thread = DatabaseThread(self.preferences['db_path'], self.db_queue, database_idle_func)
self.db_thread.start()
self.serial_thread = SerialThread(serial_path, self.serial_queue, self)
self.serial_thread.start()
def stop_threads(self):
self.db_thread.join()
self.serial_thread.join()
def is_database_defined(self):
if 'db_path' in self.preferences:
return os.path.isfile(self.preferences['db_path'])
def set_database_path(self, path):
self.preferences['db_path'] = path
def insert_data(self, tuple_list):
task = SQLiteInsertTask()
task.set_values(tuple_list)
self.db_queue.put(task)
def dump_data(self, start_time, end_time, path):
def listener_function(task):
results = [dict(row) for row in task.get_result()]
with open(path, 'w+') as csv_file:
writer = csv.DictWriter(csv_file, self.data_field_names)
writer.writeheader()
writer.writerows(results)
task = SQLiteSelectTask(listener=listener_function)
task.set_row_factory(sqlite3.Row)
task.set_parameters({'start_time': start_time, 'end_time': end_time})
self.db_queue.put(task)
def get_data_stats(self, start_time, end_time, handler_function):
def stat_func(task):
rows = task.get_result()
if not rows:
return
rows = numpy.asarray(rows)
means = numpy.mean(rows, axis=0)
medians = numpy.median(rows, axis=0)
modes = scipy.stats.mode(rows, axis=0)[0][0]
maximums = numpy.nanmax(rows, axis=0)
minimums = numpy.nanmin(rows, axis=0)
std = numpy.std(rows, axis=0)
#Zips for histograms
zipped = zip(*rows)
voltages = zipped[0]
currents = zipped[1]
periods = zipped[2]
active_powers = zipped[3]
reactive_powers = zipped[4]
apparent_powers = zipped[5]
phase_angles = zipped[6]
power_factors = zipped[7]
handler_function(means, medians, modes, maximums, minimums, std,
voltages=voltages,
currents=currents,
periods=periods,
active_powers=active_powers,
reactive_powers=reactive_powers,
apparent_powers=apparent_powers,
phase_angles=phase_angles,
power_factors=power_factors
)
task = SQLiteSelectDataTask(listener=stat_func)
parameters = {
'start_time': start_time,
'end_time': end_time,
}
task.set_parameters(parameters)
self.db_queue.put(task)
def get_realtime_store(self):
return self.realtime_store
def start_realtime_collection(self):
self.should_collect_realtime = True
self.realtime_listeners += 1
if not self.realtime_thread:
self.realtime_thread = RealTimeThread(self)
self.realtime_thread.start()
def stop_realtime_collection(self):
self.realtime_listeners -= 1
if self.realtime_listeners <= 0:
self._stop_realtime_collection()
self.realtime_thread = None
def _stop_realtime_collection(self):
self.realtime_thread.join()
self.realtime_store.clear()
def get_realtime_data(self, since, listener_func):
task = SQLiteSelectDataSinceTask(listener=listener_func)
task.set_parameters({'since_time': since})
self.db_queue.put(task)
def start_realtime_collection(self):
self.should_collect_realtime = True
self.realtime_listeners += 1
if not self.realtime_thread:
self.realtime_thread = RealTimeThread(self)
self.realtime_thread.start()
def start_realtime_collection(self):
self.should_collect_realtime = True
self.realtime_listeners += 1
if not self.realtime_thread:
self.realtime_thread = RealTimeThread(self)
self.realtime_thread.start()
