def get_sensor_names():
"""
Returns a list of unique sensor names in the database
"""
# each topic is sensors/<sensor_name>/.....
# so to get the observed sensors, just look for unique <sensor_names> in the topic list
sensor_names = []
topics = database.get_topics()
for topic in topics:
parts = topic.split('/')
if len(parts) <= 1:
logging.error(
"Unknown topic format in database, expected sensors/<sensor_name>/...: {}".format(topic))
continue
sensor_name = parts[1]
if sensor_name not in sensor_names:
sensor_names.append(sensor_name)
return sensor_names
def get_topics():
return jsonify(database.get_topics())
args = argparser.parse_args()
# make database instance
db_path = args.db_path
database_path = os.path.dirname(db_path)
database_name = os.path.basename(db_path)
if not os.path.exists(database_path):
logging.info('Creating directory "{}"'.format(database_path))
os.mkdir(database_path)
db_path = os.path.join(database_path, database_name)
logging.info("Connecting to database '{}'".format(db_path))
database.open(db_path)
# first off, get all existing data from the database
topics = database.get_topics()
for topic in topics:
data = database.get_data(topic)
# sensor type is the last part in the topic
sensor_type_str, sensor_name_str = sensor_type_and_name_from_db_name(
topic)
with g_topic_data_lock:
if sensor_type_str in g_topic_data:
sensor_type: SensorType = g_topic_data[sensor_type_str]
the_data = sensor_type.add_series(sensor_name_str)
else:
sensor_type = SensorType(sensor_type_str)
the_data = sensor_type.add_series(sensor_name_str)
g_topic_data[sensor_type_str] = sensor_type