def setUp(self):
self.unit = Unit(name='C')
self.unit.save()
self.temp_metric = Metric(name='temperature')
self.temp_metric.save()
self.setpoint_metric = Metric(name='setpoint')
self.setpoint_metric.save()
self.geo_locations = [
GeoLocation(elevation=50, latitude=42.847, longitude=72.917),
GeoLocation(elevation=-23.8, latitude=40.847, longitude=42.917)
]
for loc in self.geo_locations:
loc.save()
self.sites = [
Site(name='Test Site 1',
geo_location=self.geo_locations[0],
raw_zmq_stream='tcp://example.com:8372'),
Site(name='Test Site 2',
geo_location=self.geo_locations[1],
raw_zmq_stream='tcp://example.com:8172')
]
for site in self.sites:
site.save()
num_devices = 2 * len(self.sites)
self.devices = [Device(name='Thermostat %d' % i,
site=self.sites[i % len(self.sites)])
for i in range(0, num_devices)]
num_people = 2 * len(self.sites)
self.people = [Person(first_name='John',
last_name = 'Doe %d' % i,
site=self.sites[i % len(self.sites)])
for i in range(0, num_people)]
for person in self.people:
person.save()
self.sensors = []
for device in self.devices:
device.save()
self.sensors.append(ScalarSensor(device=device,
metric=self.temp_metric,
unit=self.unit))
self.sensors.append(ScalarSensor(device=device,
metric=self.setpoint_metric,
unit=self.unit))
self.scalar_data = []
for sensor in self.sensors:
sensor.save()
self.scalar_data.append(ScalarData(
sensor=sensor,
timestamp=now() - timedelta(minutes=2),
value=22.0))
self.scalar_data.append(ScalarData(
sensor=sensor,
timestamp=now() - timedelta(minutes=1),
value=23.0))
for data in self.scalar_data:
data.save()
def setUp(self):
self.unit = Unit(name='C')
self.unit.save()
self.temp_metric = Metric(name='temperature')
self.temp_metric.save()
self.setpoint_metric = Metric(name='setpoint')
self.setpoint_metric.save()
self.geo_locations = [
GeoLocation(elevation=50, latitude=42.847, longitude=72.917),
GeoLocation(elevation=-23.8, latitude=40.847, longitude=42.917)
]
for loc in self.geo_locations:
loc.save()
self.metadata = []
self.sites = [
Site(name='Test Site 1',
geo_location=self.geo_locations[0],
raw_zmq_stream='tcp://example.com:8372'),
Site(name='Test Site 2',
geo_location=self.geo_locations[1],
raw_zmq_stream='tcp://example.com:8172')
]
for site in self.sites:
site.save()
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 1",
timestamp=now().isoformat(),
content_object=site))
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 2",
timestamp=now().isoformat(),
content_object=site))
num_devices = 2 * len(self.sites)
self.devices = [
Device(name='Thermostat %d' % i,
site=self.sites[i % len(self.sites)])
for i in range(0, num_devices)
]
num_people = 2 * len(self.sites)
# self.people = [Person(first_name='John',
# last_name = 'Doe %d' % i,
# site=self.sites[i % len(self.sites)])
# for i in range(0, num_people)]
# for person in self.people:
# person.save()
self.sensors = []
for device in self.devices:
device.save()
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 1",
timestamp=now().isoformat(),
content_object=device))
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 2",
timestamp=now().isoformat(),
content_object=device))
self.sensors.append(
ScalarSensor(device=device,
metric=self.temp_metric,
unit=self.unit))
self.sensors.append(
ScalarSensor(device=device,
metric=self.setpoint_metric,
unit=self.unit))
self.scalar_data = []
for sensor in self.sensors:
sensor.save()
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 1",
timestamp=now().isoformat(),
content_object=sensor))
self.metadata.append(
Metadata(key="Test",
value="Test Metadata 1",
timestamp=now().isoformat(),
content_object=sensor))
self.scalar_data.append({
'sensor': sensor,
'timestamp': now() - timedelta(minutes=2),
'value': 22.0
})
self.scalar_data.append({
'sensor': sensor,
'timestamp': now() - timedelta(minutes=1),
'value': 23.0
})
if self.write_scalar_data:
for data in self.scalar_data:
resources.influx_client.post_data(
data['sensor'].device.site.id, data['sensor'].device.id,
data['sensor'].id, data['sensor'].metric, data['value'],
data['timestamp'])
for metadata in self.metadata:
metadata.save()
