def setUpClass(cls):
"""
Create entity and entity group.
"""
super().setUpClass()
entity = Entity(ENTITY)
cls._entity_service = EntitiesService(cls.connection)
cls._entity_service.create_or_replace(entity)
time.sleep(cls.wait_time)
def setUp(self):
"""
Create entity.
"""
entity = Entity(NAME,
label=LABEL,
interpolate=INTERPOLATE,
time_zone=TIME_ZONE,
tags=TAGS)
self.service.create_or_replace(entity)
time.sleep(self.wait_time)
def test_fields_match(self):
"""
Check fields of Entity model were set as expected.
"""
LAST_INSERT_DATE = datetime.now()
CREATED_DATE = LAST_INSERT_DATE
e = Entity(NAME, ENABLED, LABEL, INTERPOLATE, TIME_ZONE,
LAST_INSERT_DATE, TAGS, CREATED_DATE)
self.assertEqual(TAGS, e.tags)
self.assertEqual(LABEL, e.label)
self.common_checks(e)
def test_replace(self):
"""
Check tags delete.
"""
entity = Entity(name=NAME)
self.service.create_or_replace(entity)
time.sleep(self.wait_time)
e = self.service.get(NAME)
# print(e)
self.assertIsNotNone(e)
self.assertIsInstance(e, Entity)
self.assertEqual(NAME, e.name)
self.assertTrue(e.enabled)
self.assertDictEqual({}, e.tags)
def test_update(self):
label = "new_label"
tag_value = "new_tag_value"
tags = TAGS.copy()
tags[TAG] = tag_value
entity = Entity(name=NAME, label=label, tags=tags)
self.service.update(entity)
time.sleep(self.wait_time)
e = self.service.get(NAME)
# print(e)
self.assertIsNotNone(e)
self.assertIsInstance(e, Entity)
self.assertEqual(tag_value, e.tags[TAG])
self.assertEqual(label, entity.label)
self.common_checks(e)
series = []
metric_and_labels = {JACKET_TEMPERATURE: [], PRODUCT_TEMPERATURE: [], AGITATOR_SPEED: []}
total_asset_duration = {}
commands = []
# prepare entities meta
assets = []
for i in range(ASSET_COUNT):
site = rand_int(SITE_COUNT)
site_value = sites[site]
building_value = buildings[site][rand_int(BUILDING_PER_SITE_COUNT)]
entity_name = '%s-%s' % (ENTITY_PREFIX, i)
assets.append({'id': entity_name, 'site': site_value, 'building': building_value})
entity = Entity(entity_name, tags={'site': site_value, 'building': building_value})
if SAVE_AS_COMMANDS:
commands.append('entity e:%s t:site=%s t:building=%s' % (entity_name, site_value, building_value))
else:
entities_service.create_or_replace(entity)
# prepare splines
for asset in assets:
proc = 0
t = START_TIME
entity_name = asset['id']
dataSplines = SplineHolder()
data_command_splines.append([asset, dataSplines])
fields_dict = {'asset_name': 'label', 'asset_path': 'name'}
time_zone_dict = {'USRI': 'EDT', 'PRJU': 'PRT'}
time_zone_field = 'site_is_code'
for index, row in df.where(pd.notnull(df), None).iterrows():
row_dict = row.to_dict()
fields_columns = {
k: v
for k, v in row_dict.iteritems()
if k in fields_dict and row_dict[k] is not None
}
entity_params = dict(
map(lambda kv: (fields_dict[kv[0]], kv[1]),
fields_columns.iteritems()))
if time_zone_field in row_dict and row_dict[
time_zone_field] in time_zone_dict:
site_code = row_dict[time_zone_field]
entity_params['time_zone'] = time_zone_dict[site_code]
entity_params['tags'] = dict({
k: v
for k, v in row_dict.iteritems()
if k not in fields_dict and row_dict[k] is not None
})
entity = Entity(**entity_params)
print(entity)
# entities_service.create_or_replace(entity)
]
assets = []
for i in range(ASSET_COUNT):
site = rand_int(SITE_COUNT)
building = rand_int(BUILDING_PER_SITE_COUNT)
assets.append({
'id': 'axi.asset-%s' % i,
'site': sites[site],
'building': buildings[site][building]
})
for asset in assets:
entity = Entity(asset['id'],
tags={
'site': asset['site'],
'building': asset['building']
})
entities_service.create_or_replace(entity)
batch_id = 1400
dataCommandSplines = []
series = []
for asset in assets:
proc = 0
t = next_time(None, MIN_TIME)
dataSplines = SplineHolder()
dataCommandSplines.append([asset, dataSplines])
