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VmSchedulingBusinessEngine.get_vm_cpu_utilization_series | (self, vm_id: int) | Get the CPU utilization series of the specific VM by the given ID. | Get the CPU utilization series of the specific VM by the given ID. | def get_vm_cpu_utilization_series(self, vm_id: int) -> List[float]:
"""Get the CPU utilization series of the specific VM by the given ID."""
if vm_id in self._live_vms:
return self._live_vms[vm_id].get_historical_utilization_series(cur_tick=self._tick)
return [] | [
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VmSchedulingBusinessEngine.get_metrics | (self) | Get current environment metrics information.
Returns:
DocableDict: Metrics information.
| Get current environment metrics information. | def get_metrics(self) -> DocableDict:
"""Get current environment metrics information.
Returns:
DocableDict: Metrics information.
"""
return DocableDict(
metrics_desc,
total_vm_requests=self._total_vm_requests,
total_incomes=self._total_incomes,
energy_consumption_cost=self._energy_consumption_cost,
total_profit=self._total_profit,
total_energy_consumption=self._total_energy_consumption,
successful_allocation=self._successful_allocation,
successful_completion=self._successful_completion,
failed_allocation=self._failed_allocation,
failed_completion=self._failed_completion,
total_latency=self._total_latency,
total_oversubscriptions=self._total_oversubscriptions,
total_overload_pms=self._total_overload_pms,
total_overload_vms=self._total_overload_vms
) | [
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VmSchedulingBusinessEngine._update_vm_workload | (self, cur_tick_cpu_utilization: dict) | Update all live VMs CPU utilization.
The length of VMs utilization series could be difference among all VMs,
because index 0 represents the VM's CPU utilization at the tick it starts.
| Update all live VMs CPU utilization. | def _update_vm_workload(self, cur_tick_cpu_utilization: dict):
"""Update all live VMs CPU utilization.
The length of VMs utilization series could be difference among all VMs,
because index 0 represents the VM's CPU utilization at the tick it starts.
"""
for live_vm in self._live_vms.values():
# NOTE: Some data could be lost. We use -1.0 to represent the missing data.
if live_vm.id not in cur_tick_cpu_utilization:
live_vm.add_utilization(cpu_utilization=-1.0)
else:
live_vm.add_utilization(cpu_utilization=cur_tick_cpu_utilization[live_vm.id])
live_vm.cpu_utilization = live_vm.get_utilization(cur_tick=self._tick)
for pending_vm_payload in self._pending_vm_request_payload.values():
pending_vm = pending_vm_payload.vm_info
if pending_vm.id not in cur_tick_cpu_utilization:
pending_vm.add_utilization(cpu_utilization=-1.0)
else:
pending_vm.add_utilization(cpu_utilization=cur_tick_cpu_utilization[pending_vm.id]) | [
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VmSchedulingBusinessEngine._update_pm_workload | (self) | Update CPU utilization occupied by total VMs on each PM. | Update CPU utilization occupied by total VMs on each PM. | def _update_pm_workload(self):
"""Update CPU utilization occupied by total VMs on each PM."""
for pm in self._machines:
total_pm_cpu_cores_used: float = 0.0
for vm_id in pm.live_vms:
vm = self._live_vms[vm_id]
total_pm_cpu_cores_used += vm.cpu_utilization * vm.cpu_cores_requirement
pm.update_cpu_utilization(vm=None, cpu_utilization=total_pm_cpu_cores_used / pm.cpu_cores_capacity)
pm.energy_consumption = self._cpu_utilization_to_energy_consumption(
pm_type=self._pm_config_dict[pm.pm_type],
cpu_utilization=pm.cpu_utilization
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VmSchedulingBusinessEngine._overload | (self, pm_id: int, tick: int) | Overload logic.
Currently only support killing all VMs on the overload PM and note them as failed allocations.
| Overload logic. | def _overload(self, pm_id: int, tick: int):
"""Overload logic.
Currently only support killing all VMs on the overload PM and note them as failed allocations.
"""
# TODO: Future features of overload modeling.
# 1. Performance degradation
# 2. Quiesce specific VMs.
pm: PhysicalMachine = self._machines[pm_id]
vm_ids: List[int] = [vm_id for vm_id in pm.live_vms]
if self._kill_all_vms_if_overload:
for vm_id in vm_ids:
self._total_incomes -= self._live_vms[vm_id].get_income_till_now(tick)
self._live_vms.pop(vm_id)
pm.deallocate_vms(vm_ids=vm_ids)
self._failed_completion += len(vm_ids)
self._total_overload_vms += len(vm_ids) | [
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VmSchedulingBusinessEngine._cpu_utilization_to_energy_consumption | (self, pm_type: dict, cpu_utilization: float) | Convert the CPU utilization to energy consumption.
The formulation refers to https://dl.acm.org/doi/epdf/10.1145/1273440.1250665
| Convert the CPU utilization to energy consumption. | def _cpu_utilization_to_energy_consumption(self, pm_type: dict, cpu_utilization: float) -> float:
"""Convert the CPU utilization to energy consumption.
The formulation refers to https://dl.acm.org/doi/epdf/10.1145/1273440.1250665
"""
power: float = pm_type["power_curve"]["calibration_parameter"]
busy_power: int = pm_type["power_curve"]["busy_power"]
idle_power: int = pm_type["power_curve"]["idle_power"]
cpu_utilization /= 100
cpu_utilization = min(1, cpu_utilization)
energy_consumption_per_hour = (
idle_power + (busy_power - idle_power) * (2 * cpu_utilization - pow(cpu_utilization, power))
)
return (energy_consumption_per_hour / self._ticks_per_hour) / 1000 | [
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VmSchedulingBusinessEngine._postpone_vm_request | (self, postpone_type: PostponeType, vm_id: int, remaining_buffer_time: int) | Postpone VM request. | Postpone VM request. | def _postpone_vm_request(self, postpone_type: PostponeType, vm_id: int, remaining_buffer_time: int):
"""Postpone VM request."""
if remaining_buffer_time >= self._delay_duration:
if postpone_type == PostponeType.Resource:
self._total_latency.due_to_resource += self._delay_duration
elif postpone_type == PostponeType.Agent:
self._total_latency.due_to_agent += self._delay_duration
postpone_payload = self._pending_vm_request_payload[vm_id]
postpone_payload.remaining_buffer_time -= self._delay_duration
postpone_event = self._event_buffer.gen_cascade_event(
tick=self._tick + self._delay_duration,
event_type=Events.REQUEST,
payload=postpone_payload
)
self._event_buffer.insert_event(event=postpone_event)
else:
# Fail
# Pop out VM request payload.
self._pending_vm_request_payload.pop(vm_id)
# Add failed allocation.
self._failed_allocation += 1 | [
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VmSchedulingBusinessEngine._get_valid_pms | (
self, vm_cpu_cores_requirement: int, vm_memory_requirement: int, vm_category: VmCategory
) | Check all valid PMs.
Args:
vm_cpu_cores_requirement (int): The CPU cores requested by the VM.
vm_memory_requirement (int): The memory requested by the VM.
vm_category (VmCategory): The VM category. Delay-insensitive: 0, Interactive: 1, Unknown: 2.
| Check all valid PMs. | def _get_valid_pms(
self, vm_cpu_cores_requirement: int, vm_memory_requirement: int, vm_category: VmCategory
) -> List[int]:
"""Check all valid PMs.
Args:
vm_cpu_cores_requirement (int): The CPU cores requested by the VM.
vm_memory_requirement (int): The memory requested by the VM.
vm_category (VmCategory): The VM category. Delay-insensitive: 0, Interactive: 1, Unknown: 2.
"""
# NOTE: Should we implement this logic inside the action scope?
valid_pm_list = []
# Delay-insensitive: 0, Interactive: 1, and Unknown: 2.
if vm_category == VmCategory.INTERACTIVE or vm_category == VmCategory.UNKNOWN:
valid_pm_list = self._get_valid_non_oversubscribable_pms(
vm_cpu_cores_requirement=vm_cpu_cores_requirement,
vm_memory_requirement=vm_memory_requirement
)
else:
valid_pm_list = self._get_valid_oversubscribable_pms(
vm_cpu_cores_requirement=vm_cpu_cores_requirement,
vm_memory_requirement=vm_memory_requirement
)
return valid_pm_list | [
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VmSchedulingBusinessEngine._process_finished_vm | (self) | Release PM resource from the finished VM. | Release PM resource from the finished VM. | def _process_finished_vm(self):
"""Release PM resource from the finished VM."""
# Get the VM info.
vm_id_list = []
for vm in self._live_vms.values():
if vm.deletion_tick == self._tick:
# Release PM resources.
pm: PhysicalMachine = self._machines[vm.pm_id]
pm.cpu_cores_allocated -= vm.cpu_cores_requirement
pm.memory_allocated -= vm.memory_requirement
pm.deallocate_vms(vm_ids=[vm.id])
# If the VM list is empty, switch the state to empty.
if not pm.live_vms:
pm.oversubscribable = PmState.EMPTY
vm_id_list.append(vm.id)
# VM completed task succeed.
self._successful_completion += 1
# Remove dead VM.
for vm_id in vm_id_list:
self._live_vms.pop(vm_id) | [
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] | [
785,
4
] | [
806,
37
] | python | en | ['en', 'en', 'en'] | True |
VmSchedulingBusinessEngine._on_vm_required | (self, vm_request_event: CascadeEvent) | Callback when there is a VM request generated. | Callback when there is a VM request generated. | def _on_vm_required(self, vm_request_event: CascadeEvent):
"""Callback when there is a VM request generated."""
# Get VM data from payload.
payload: VmRequestPayload = vm_request_event.payload
vm_info: VirtualMachine = payload.vm_info
remaining_buffer_time: int = payload.remaining_buffer_time
# Store the payload inside business engine.
self._pending_vm_request_payload[vm_info.id] = payload
# Get valid pm list.
valid_pm_list = self._get_valid_pms(
vm_cpu_cores_requirement=vm_info.cpu_cores_requirement,
vm_memory_requirement=vm_info.memory_requirement,
vm_category=vm_info.category
)
if len(valid_pm_list) > 0:
# Generate pending decision.
decision_payload = DecisionPayload(
frame_index=self.frame_index(tick=self._tick),
valid_pms=valid_pm_list,
vm_id=vm_info.id,
vm_cpu_cores_requirement=vm_info.cpu_cores_requirement,
vm_memory_requirement=vm_info.memory_requirement,
vm_sub_id=vm_info.sub_id,
vm_category=vm_info.category,
remaining_buffer_time=remaining_buffer_time
)
self._pending_action_vm_id = vm_info.id
pending_decision_event = self._event_buffer.gen_decision_event(
tick=vm_request_event.tick, payload=decision_payload)
vm_request_event.add_immediate_event(event=pending_decision_event)
else:
# Either postpone the requirement event or failed.
self._postpone_vm_request(
postpone_type=PostponeType.Resource,
vm_id=vm_info.id,
remaining_buffer_time=remaining_buffer_time
) | [
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846,
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VmSchedulingBusinessEngine._on_action_received | (self, event: CascadeEvent) | Callback wen we get an action from agent. | Callback wen we get an action from agent. | def _on_action_received(self, event: CascadeEvent):
"""Callback wen we get an action from agent."""
action = None
if event is None or event.payload is None:
self._pending_vm_request_payload.pop(self._pending_action_vm_id)
return
cur_tick: int = event.tick
for action in event.payload:
vm_id: int = action.vm_id
if vm_id not in self._pending_vm_request_payload:
raise Exception(f"The VM id: '{vm_id}' sent by agent is invalid.")
if type(action) == AllocateAction:
pm_id = action.pm_id
vm: VirtualMachine = self._pending_vm_request_payload[vm_id].vm_info
lifetime = vm.lifetime
# Update VM information.
vm.pm_id = pm_id
vm.creation_tick = cur_tick
vm.deletion_tick = cur_tick + lifetime
vm.cpu_utilization = vm.get_utilization(cur_tick=cur_tick)
# Pop out the VM from pending requests and add to live VM dict.
self._pending_vm_request_payload.pop(vm_id)
self._live_vms[vm_id] = vm
# Update PM resources requested by VM.
pm = self._machines[pm_id]
# Empty pm (init state).
if pm.oversubscribable == PmState.EMPTY:
# Delay-Insensitive: oversubscribable.
if vm.category == VmCategory.DELAY_INSENSITIVE:
pm.oversubscribable = PmState.OVERSUBSCRIBABLE
# Interactive or Unknown: non-oversubscribable
else:
pm.oversubscribable = PmState.NON_OVERSUBSCRIBABLE
pm.allocate_vms(vm_ids=[vm.id])
pm.cpu_cores_allocated += vm.cpu_cores_requirement
pm.memory_allocated += vm.memory_requirement
pm.update_cpu_utilization(
vm=vm,
cpu_utilization=None
)
pm.energy_consumption = self._cpu_utilization_to_energy_consumption(
pm_type=self._pm_config_dict[pm.pm_type],
cpu_utilization=pm.cpu_utilization
)
self._successful_allocation += 1
elif type(action) == PostponeAction:
postpone_step = action.postpone_step
remaining_buffer_time = self._pending_vm_request_payload[vm_id].remaining_buffer_time
# Either postpone the requirement event or failed.
self._postpone_vm_request(
postpone_type=PostponeType.Agent,
vm_id=vm_id,
remaining_buffer_time=remaining_buffer_time - postpone_step * self._delay_duration
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911,
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VmSchedulingBusinessEngine._download_processed_data | (self) | Build processed data. | Build processed data. | def _download_processed_data(self):
"""Build processed data."""
data_root = StaticParameter.data_root
build_folder = os.path.join(data_root, self._scenario_name, ".build", self._topology)
source = self._config.PROCESSED_DATA_URL
download_file_name = source.split('/')[-1]
download_file_path = os.path.join(build_folder, download_file_name)
# Download file from the Azure blob storage.
if not os.path.exists(download_file_path):
logger.info_green(f"Downloading data from {source} to {download_file_path}.")
download_file(source=source, destination=download_file_path)
else:
logger.info_green("File already exists, skipping download.")
# Unzip files.
logger.info_green(f"Unzip {download_file_path} to {build_folder}")
tar = tarfile.open(download_file_path, "r:gz")
tar.extractall(path=build_folder)
tar.close()
# Move to the correct path.
for _, directories, _ in os.walk(build_folder):
for directory in directories:
unzip_file = os.path.join(build_folder, directory)
logger.info_green(f"Move files to {build_folder} from {unzip_file}")
for file_name in os.listdir(unzip_file):
if file_name.endswith(".bin"):
shutil.move(os.path.join(unzip_file, file_name), build_folder)
os.rmdir(unzip_file) | [
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926,
4
] | [
957,
28
] | python | en | ['en', 'la', 'en'] | True |
PulseHub.__init__ | (self, hass, config_entry) | Initialize the system. | Initialize the system. | def __init__(self, hass, config_entry):
"""Initialize the system."""
self.config_entry = config_entry
self.hass = hass
self.api: Optional[aiopulse.Hub] = None
self.tasks = []
self.current_rollers = {}
self.cleanup_callbacks = [] | [
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PulseHub.title | (self) | Return the title of the hub shown in the integrations list. | Return the title of the hub shown in the integrations list. | def title(self):
"""Return the title of the hub shown in the integrations list."""
return f"{self.api.id} ({self.api.host})" | [
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PulseHub.host | (self) | Return the host of this hub. | Return the host of this hub. | def host(self):
"""Return the host of this hub."""
return self.config_entry.data["host"] | [
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PulseHub.async_setup | (self, tries=0) | Set up a hub based on host parameter. | Set up a hub based on host parameter. | async def async_setup(self, tries=0):
"""Set up a hub based on host parameter."""
host = self.host
hub = aiopulse.Hub(host)
self.api = hub
hub.callback_subscribe(self.async_notify_update)
self.tasks.append(asyncio.create_task(hub.run()))
LOGGER.debug("Hub setup complete")
return True | [
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] | python | en | ['en', 'da', 'en'] | True |
PulseHub.async_reset | (self) | Reset this hub to default state. | Reset this hub to default state. | async def async_reset(self):
"""Reset this hub to default state."""
for cleanup_callback in self.cleanup_callbacks:
cleanup_callback()
# If not setup
if self.api is None:
return False
self.api.callback_unsubscribe(self.async_notify_update)
await self.api.stop()
del self.api
self.api = None
# Wait for any running tasks to complete
await asyncio.wait(self.tasks)
return True | [
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PulseHub.async_notify_update | (self, update_type) | Evaluate entities when hub reports that update has occurred. | Evaluate entities when hub reports that update has occurred. | async def async_notify_update(self, update_type):
"""Evaluate entities when hub reports that update has occurred."""
LOGGER.debug("Hub {update_type.name} updated")
if update_type == aiopulse.UpdateType.rollers:
await update_devices(self.hass, self.config_entry, self.api.rollers)
self.hass.config_entries.async_update_entry(
self.config_entry, title=self.title
)
async_dispatcher_send(
self.hass, ACMEDA_HUB_UPDATE.format(self.config_entry.entry_id)
)
for unique_id in list(self.current_rollers):
if unique_id not in self.api.rollers:
LOGGER.debug("Notifying remove of %s", unique_id)
self.current_rollers.pop(unique_id)
async_dispatcher_send(
self.hass, ACMEDA_ENTITY_REMOVE.format(unique_id)
) | [
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async_setup_platform | (hass, config, async_add_entities, discovery_info=None) | Set up the Demo water_heater devices. | Set up the Demo water_heater devices. | async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
"""Set up the Demo water_heater devices."""
async_add_entities(
[
DemoWaterHeater("Demo Water Heater", 119, TEMP_FAHRENHEIT, False, "eco"),
DemoWaterHeater("Demo Water Heater Celsius", 45, TEMP_CELSIUS, True, "eco"),
]
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async_setup_entry | (hass, config_entry, async_add_entities) | Set up the Demo config entry. | Set up the Demo config entry. | async def async_setup_entry(hass, config_entry, async_add_entities):
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DemoWaterHeater.__init__ | (
self, name, target_temperature, unit_of_measurement, away, current_operation
) | Initialize the water_heater device. | Initialize the water_heater device. | def __init__(
self, name, target_temperature, unit_of_measurement, away, current_operation
):
"""Initialize the water_heater device."""
self._name = name
self._support_flags = SUPPORT_FLAGS_HEATER
if target_temperature is not None:
self._support_flags = self._support_flags | SUPPORT_TARGET_TEMPERATURE
if away is not None:
self._support_flags = self._support_flags | SUPPORT_AWAY_MODE
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self._support_flags = self._support_flags | SUPPORT_OPERATION_MODE
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self._unit_of_measurement = unit_of_measurement
self._away = away
self._current_operation = current_operation
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DemoWaterHeater.supported_features | (self) | Return the list of supported features. | Return the list of supported features. | def supported_features(self):
"""Return the list of supported features."""
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DemoWaterHeater.should_poll | (self) | Return the polling state. | Return the polling state. | def should_poll(self):
"""Return the polling state."""
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DemoWaterHeater.name | (self) | Return the name of the water_heater device. | Return the name of the water_heater device. | def name(self):
"""Return the name of the water_heater device."""
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DemoWaterHeater.temperature_unit | (self) | Return the unit of measurement. | Return the unit of measurement. | def temperature_unit(self):
"""Return the unit of measurement."""
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DemoWaterHeater.target_temperature | (self) | Return the temperature we try to reach. | Return the temperature we try to reach. | def target_temperature(self):
"""Return the temperature we try to reach."""
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DemoWaterHeater.current_operation | (self) | Return current operation ie. heat, cool, idle. | Return current operation ie. heat, cool, idle. | def current_operation(self):
"""Return current operation ie. heat, cool, idle."""
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DemoWaterHeater.operation_list | (self) | Return the list of available operation modes. | Return the list of available operation modes. | def operation_list(self):
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DemoWaterHeater.is_away_mode_on | (self) | Return if away mode is on. | Return if away mode is on. | def is_away_mode_on(self):
"""Return if away mode is on."""
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DemoWaterHeater.set_temperature | (self, **kwargs) | Set new target temperatures. | Set new target temperatures. | def set_temperature(self, **kwargs):
"""Set new target temperatures."""
self._target_temperature = kwargs.get(ATTR_TEMPERATURE)
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DemoWaterHeater.set_operation_mode | (self, operation_mode) | Set new operation mode. | Set new operation mode. | def set_operation_mode(self, operation_mode):
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DemoWaterHeater.turn_away_mode_on | (self) | Turn away mode on. | Turn away mode on. | def turn_away_mode_on(self):
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self._away = True
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DemoWaterHeater.turn_away_mode_off | (self) | Turn away mode off. | Turn away mode off. | def turn_away_mode_off(self):
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async_setup_platform | (
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) | Set up the LCN scene platform. | Set up the LCN scene platform. | async def async_setup_platform(
hass, hass_config, async_add_entities, discovery_info=None
):
"""Set up the LCN scene platform."""
if discovery_info is None:
return
devices = []
for config in discovery_info:
address, connection_id = config[CONF_ADDRESS]
addr = pypck.lcn_addr.LcnAddr(*address)
connections = hass.data[DATA_LCN][CONF_CONNECTIONS]
connection = get_connection(connections, connection_id)
address_connection = connection.get_address_conn(addr)
devices.append(LcnScene(config, address_connection))
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LcnScene.__init__ | (self, config, address_connection) | Initialize the LCN scene. | Initialize the LCN scene. | def __init__(self, config, address_connection):
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super().__init__(config, address_connection)
self.register_id = config[CONF_REGISTER]
self.scene_id = config[CONF_SCENE]
self.output_ports = []
self.relay_ports = []
for port in config[CONF_OUTPUTS]:
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LcnScene.async_added_to_hass | (self) | Run when entity about to be added to hass. | Run when entity about to be added to hass. | async def async_added_to_hass(self):
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the Dark Sky sensor. | Set up the Dark Sky sensor. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Dark Sky sensor."""
latitude = config.get(CONF_LATITUDE, hass.config.latitude)
longitude = config.get(CONF_LONGITUDE, hass.config.longitude)
language = config.get(CONF_LANGUAGE)
interval = config.get(CONF_SCAN_INTERVAL, SCAN_INTERVAL)
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forecast_data.update_currently()
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if forecast_data.data is None:
return
name = config.get(CONF_NAME)
forecast = config.get(CONF_FORECAST)
forecast_hour = config.get(CONF_HOURLY_FORECAST)
sensors = []
for variable in config[CONF_MONITORED_CONDITIONS]:
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convert_to_camel | (data) |
Convert snake case (foo_bar_bat) to camel case (fooBarBat).
This is not pythonic, but needed for certain situations.
|
Convert snake case (foo_bar_bat) to camel case (fooBarBat). | def convert_to_camel(data):
"""
Convert snake case (foo_bar_bat) to camel case (fooBarBat).
This is not pythonic, but needed for certain situations.
"""
components = data.split("_")
capital_components = "".join(x.title() for x in components[1:])
return f"{components[0]}{capital_components}" | [
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DarkSkySensor.__init__ | (
self, forecast_data, sensor_type, name, forecast_day=None, forecast_hour=None
) | Initialize the sensor. | Initialize the sensor. | def __init__(
self, forecast_data, sensor_type, name, forecast_day=None, forecast_hour=None
):
"""Initialize the sensor."""
self.client_name = name
self._name = SENSOR_TYPES[sensor_type][0]
self.forecast_data = forecast_data
self.type = sensor_type
self.forecast_day = forecast_day
self.forecast_hour = forecast_hour
self._state = None
self._icon = None
self._unit_of_measurement = None | [
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DarkSkySensor.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
if self.forecast_day is not None:
return f"{self.client_name} {self._name} {self.forecast_day}d"
if self.forecast_hour is not None:
return f"{self.client_name} {self._name} {self.forecast_hour}h"
return f"{self.client_name} {self._name}" | [
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DarkSkySensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
return self._state | [
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DarkSkySensor.unit_of_measurement | (self) | Return the unit of measurement of this entity, if any. | Return the unit of measurement of this entity, if any. | def unit_of_measurement(self):
"""Return the unit of measurement of this entity, if any."""
return self._unit_of_measurement | [
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DarkSkySensor.unit_system | (self) | Return the unit system of this entity. | Return the unit system of this entity. | def unit_system(self):
"""Return the unit system of this entity."""
return self.forecast_data.unit_system | [
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DarkSkySensor.entity_picture | (self) | Return the entity picture to use in the frontend, if any. | Return the entity picture to use in the frontend, if any. | def entity_picture(self):
"""Return the entity picture to use in the frontend, if any."""
if self._icon is None or "summary" not in self.type:
return None
if self._icon in CONDITION_PICTURES:
return CONDITION_PICTURES[self._icon][0]
return None | [
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DarkSkySensor.update_unit_of_measurement | (self) | Update units based on unit system. | Update units based on unit system. | def update_unit_of_measurement(self):
"""Update units based on unit system."""
unit_index = {"si": 1, "us": 2, "ca": 3, "uk": 4, "uk2": 5}.get(
self.unit_system, 1
)
self._unit_of_measurement = SENSOR_TYPES[self.type][unit_index] | [
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DarkSkySensor.icon | (self) | Icon to use in the frontend, if any. | Icon to use in the frontend, if any. | def icon(self):
"""Icon to use in the frontend, if any."""
if "summary" in self.type and self._icon in CONDITION_PICTURES:
return CONDITION_PICTURES[self._icon][1]
return SENSOR_TYPES[self.type][6] | [
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DarkSkySensor.device_class | (self) | Device class of the entity. | Device class of the entity. | def device_class(self):
"""Device class of the entity."""
if SENSOR_TYPES[self.type][1] == TEMP_CELSIUS:
return DEVICE_CLASS_TEMPERATURE
return None | [
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] | python | en | ['en', 'en', 'en'] | True |
DarkSkySensor.device_state_attributes | (self) | Return the state attributes. | Return the state attributes. | def device_state_attributes(self):
"""Return the state attributes."""
return {ATTR_ATTRIBUTION: ATTRIBUTION} | [
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DarkSkySensor.update | (self) | Get the latest data from Dark Sky and updates the states. | Get the latest data from Dark Sky and updates the states. | def update(self):
"""Get the latest data from Dark Sky and updates the states."""
# Call the API for new forecast data. Each sensor will re-trigger this
# same exact call, but that's fine. We cache results for a short period
# of time to prevent hitting API limits. Note that Dark Sky will
# charge users for too many calls in 1 day, so take care when updating.
self.forecast_data.update()
self.update_unit_of_measurement()
if self.type == "minutely_summary":
self.forecast_data.update_minutely()
minutely = self.forecast_data.data_minutely
self._state = getattr(minutely, "summary", "")
self._icon = getattr(minutely, "icon", "")
elif self.type == "hourly_summary":
self.forecast_data.update_hourly()
hourly = self.forecast_data.data_hourly
self._state = getattr(hourly, "summary", "")
self._icon = getattr(hourly, "icon", "")
elif self.forecast_hour is not None:
self.forecast_data.update_hourly()
hourly = self.forecast_data.data_hourly
if hasattr(hourly, "data"):
self._state = self.get_state(hourly.data[self.forecast_hour])
else:
self._state = 0
elif self.type == "daily_summary":
self.forecast_data.update_daily()
daily = self.forecast_data.data_daily
self._state = getattr(daily, "summary", "")
self._icon = getattr(daily, "icon", "")
elif self.forecast_day is not None:
self.forecast_data.update_daily()
daily = self.forecast_data.data_daily
if hasattr(daily, "data"):
self._state = self.get_state(daily.data[self.forecast_day])
else:
self._state = 0
else:
self.forecast_data.update_currently()
currently = self.forecast_data.data_currently
self._state = self.get_state(currently) | [
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667,
51
] | python | en | ['en', 'en', 'en'] | True |
DarkSkySensor.get_state | (self, data) |
Return a new state based on the type.
If the sensor type is unknown, the current state is returned.
|
Return a new state based on the type. | def get_state(self, data):
"""
Return a new state based on the type.
If the sensor type is unknown, the current state is returned.
"""
lookup_type = convert_to_camel(self.type)
state = getattr(data, lookup_type, None)
if state is None:
return state
if "summary" in self.type:
self._icon = getattr(data, "icon", "")
# Some state data needs to be rounded to whole values or converted to
# percentages
if self.type in ["precip_probability", "cloud_cover", "humidity"]:
return round(state * 100, 1)
if self.type in [
"dew_point",
"temperature",
"apparent_temperature",
"temperature_low",
"apparent_temperature_low",
"temperature_min",
"apparent_temperature_min",
"temperature_high",
"apparent_temperature_high",
"temperature_max",
"apparent_temperature_max",
"precip_accumulation",
"pressure",
"ozone",
"uvIndex",
]:
return round(state, 1)
return state | [
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] | [
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] | python | en | ['en', 'error', 'th'] | False |
DarkSkyAlertSensor.__init__ | (self, forecast_data, sensor_type, name) | Initialize the sensor. | Initialize the sensor. | def __init__(self, forecast_data, sensor_type, name):
"""Initialize the sensor."""
self.client_name = name
self._name = SENSOR_TYPES[sensor_type][0]
self.forecast_data = forecast_data
self.type = sensor_type
self._state = None
self._icon = None
self._alerts = None | [
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DarkSkyAlertSensor.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
return f"{self.client_name} {self._name}" | [
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724,
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726,
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DarkSkyAlertSensor.state | (self) | Return the state of the sensor. | Return the state of the sensor. | def state(self):
"""Return the state of the sensor."""
return self._state | [
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DarkSkyAlertSensor.icon | (self) | Icon to use in the frontend, if any. | Icon to use in the frontend, if any. | def icon(self):
"""Icon to use in the frontend, if any."""
if self._state is not None and self._state > 0:
return "mdi:alert-circle"
return "mdi:alert-circle-outline" | [
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DarkSkyAlertSensor.device_state_attributes | (self) | Return the state attributes. | Return the state attributes. | def device_state_attributes(self):
"""Return the state attributes."""
return self._alerts | [
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DarkSkyAlertSensor.update | (self) | Get the latest data from Dark Sky and updates the states. | Get the latest data from Dark Sky and updates the states. | def update(self):
"""Get the latest data from Dark Sky and updates the states."""
# Call the API for new forecast data. Each sensor will re-trigger this
# same exact call, but that's fine. We cache results for a short period
# of time to prevent hitting API limits. Note that Dark Sky will
# charge users for too many calls in 1 day, so take care when updating.
self.forecast_data.update()
self.forecast_data.update_alerts()
alerts = self.forecast_data.data_alerts
self._state = self.get_state(alerts) | [
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DarkSkyAlertSensor.get_state | (self, data) |
Return a new state based on the type.
If the sensor type is unknown, the current state is returned.
|
Return a new state based on the type. | def get_state(self, data):
"""
Return a new state based on the type.
If the sensor type is unknown, the current state is returned.
"""
alerts = {}
if data is None:
self._alerts = alerts
return data
multiple_alerts = len(data) > 1
for i, alert in enumerate(data):
for attr in ALERTS_ATTRS:
if multiple_alerts:
dkey = f"{attr}_{i!s}"
else:
dkey = attr
alerts[dkey] = getattr(alert, attr)
self._alerts = alerts
return len(data) | [
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DarkSkyData.__init__ | (self, api_key, latitude, longitude, units, language, interval) | Initialize the data object. | Initialize the data object. | def __init__(self, api_key, latitude, longitude, units, language, interval):
"""Initialize the data object."""
self._api_key = api_key
self.latitude = latitude
self.longitude = longitude
self.units = units
self.language = language
self._connect_error = False
self.data = None
self.unit_system = None
self.data_currently = None
self.data_minutely = None
self.data_hourly = None
self.data_daily = None
self.data_alerts = None
# Apply throttling to methods using configured interval
self.update = Throttle(interval)(self._update)
self.update_currently = Throttle(interval)(self._update_currently)
self.update_minutely = Throttle(interval)(self._update_minutely)
self.update_hourly = Throttle(interval)(self._update_hourly)
self.update_daily = Throttle(interval)(self._update_daily)
self.update_alerts = Throttle(interval)(self._update_alerts) | [
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DarkSkyData._update | (self) | Get the latest data from Dark Sky. | Get the latest data from Dark Sky. | def _update(self):
"""Get the latest data from Dark Sky."""
try:
self.data = forecastio.load_forecast(
self._api_key,
self.latitude,
self.longitude,
units=self.units,
lang=self.language,
)
if self._connect_error:
self._connect_error = False
_LOGGER.info("Reconnected to Dark Sky")
except (ConnectError, HTTPError, Timeout, ValueError) as error:
if not self._connect_error:
self._connect_error = True
_LOGGER.error("Unable to connect to Dark Sky: %s", error)
self.data = None
self.unit_system = self.data and self.data.json["flags"]["units"] | [
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DarkSkyData._update_currently | (self) | Update currently data. | Update currently data. | def _update_currently(self):
"""Update currently data."""
self.data_currently = self.data and self.data.currently() | [
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DarkSkyData._update_minutely | (self) | Update minutely data. | Update minutely data. | def _update_minutely(self):
"""Update minutely data."""
self.data_minutely = self.data and self.data.minutely() | [
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DarkSkyData._update_hourly | (self) | Update hourly data. | Update hourly data. | def _update_hourly(self):
"""Update hourly data."""
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DarkSkyData._update_daily | (self) | Update daily data. | Update daily data. | def _update_daily(self):
"""Update daily data."""
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DarkSkyData._update_alerts | (self) | Update alerts data. | Update alerts data. | def _update_alerts(self):
"""Update alerts data."""
self.data_alerts = self.data and self.data.alerts() | [
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async_setup | (hass: HomeAssistant, config: dict) | Set up the NuHeat component. | Set up the NuHeat component. | async def async_setup(hass: HomeAssistant, config: dict):
"""Set up the NuHeat component."""
hass.data.setdefault(DOMAIN, {})
conf = config.get(DOMAIN)
if not conf:
return True
for serial_number in conf[CONF_DEVICES]:
# Since the api currently doesn't permit fetching the serial numbers
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CONF_USERNAME: conf[CONF_USERNAME],
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CONF_SERIAL_NUMBER: serial_number,
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return True | [
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_get_thermostat | (api, serial_number) | Authenticate and create the thermostat object. | Authenticate and create the thermostat object. | def _get_thermostat(api, serial_number):
"""Authenticate and create the thermostat object."""
api.authenticate()
return api.get_thermostat(serial_number) | [
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async_setup_entry | (hass: HomeAssistant, entry: ConfigEntry) | Set up NuHeat from a config entry. | Set up NuHeat from a config entry. | async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry):
"""Set up NuHeat from a config entry."""
conf = entry.data
username = conf[CONF_USERNAME]
password = conf[CONF_PASSWORD]
serial_number = conf[CONF_SERIAL_NUMBER]
api = nuheat.NuHeat(username, password)
try:
thermostat = await hass.async_add_executor_job(
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except requests.exceptions.Timeout as ex:
raise ConfigEntryNotReady from ex
except requests.exceptions.HTTPError as ex:
if (
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and ex.response.status_code < HTTP_INTERNAL_SERVER_ERROR
):
_LOGGER.error("Failed to login to nuheat: %s", ex)
return False
raise ConfigEntryNotReady from ex
except Exception as ex: # pylint: disable=broad-except
_LOGGER.error("Failed to login to nuheat: %s", ex)
return False
async def _async_update_data():
"""Fetch data from API endpoint."""
await hass.async_add_executor_job(thermostat.get_data)
coordinator = DataUpdateCoordinator(
hass,
_LOGGER,
name=f"nuheat {serial_number}",
update_method=_async_update_data,
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)
hass.data[DOMAIN][entry.entry_id] = (thermostat, coordinator)
for component in PLATFORMS:
hass.async_create_task(
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return True | [
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async_unload_entry | (hass: HomeAssistant, entry: ConfigEntry) | Unload a config entry. | Unload a config entry. | async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry):
"""Unload a config entry."""
unload_ok = all(
await asyncio.gather(
*[
hass.config_entries.async_forward_entry_unload(entry, component)
for component in PLATFORMS
]
)
)
if unload_ok:
hass.data[DOMAIN].pop(entry.entry_id)
return unload_ok | [
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129,
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] | [
142,
20
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_ratio_scores | (parameters_value, clusteringmodel_gmm_good,
clusteringmodel_gmm_bad) |
The ratio is smaller the better
|
The ratio is smaller the better
| def _ratio_scores(parameters_value, clusteringmodel_gmm_good,
clusteringmodel_gmm_bad):
'''
The ratio is smaller the better
'''
ratio = clusteringmodel_gmm_good.score(
[parameters_value]) / clusteringmodel_gmm_bad.score([parameters_value])
sigma = 0
return ratio, sigma | [
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selection_r | (x_bounds,
x_types,
clusteringmodel_gmm_good,
clusteringmodel_gmm_bad,
num_starting_points=100,
minimize_constraints_fun=None) |
Select using different types.
|
Select using different types.
| def selection_r(x_bounds,
x_types,
clusteringmodel_gmm_good,
clusteringmodel_gmm_bad,
num_starting_points=100,
minimize_constraints_fun=None):
'''
Select using different types.
'''
minimize_starting_points = clusteringmodel_gmm_good.sample(n_samples=num_starting_points)
outputs = selection(x_bounds, x_types,
clusteringmodel_gmm_good,
clusteringmodel_gmm_bad,
minimize_starting_points[0],
minimize_constraints_fun)
return outputs | [
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selection | (x_bounds,
x_types,
clusteringmodel_gmm_good,
clusteringmodel_gmm_bad,
minimize_starting_points,
minimize_constraints_fun=None) |
Select the lowest mu value
|
Select the lowest mu value
| def selection(x_bounds,
x_types,
clusteringmodel_gmm_good,
clusteringmodel_gmm_bad,
minimize_starting_points,
minimize_constraints_fun=None):
'''
Select the lowest mu value
'''
results = lib_acquisition_function.next_hyperparameter_lowest_mu(
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_rand_with_constraints | (x_bounds, x_types) |
Random generate the variable with constraints
|
Random generate the variable with constraints
| def _rand_with_constraints(x_bounds, x_types):
'''
Random generate the variable with constraints
'''
outputs = None
x_bounds_withconstraints = [x_bounds[i] for i in CONSTRAINT_PARAMS_IDX]
x_types_withconstraints = [x_types[i] for i in CONSTRAINT_PARAMS_IDX]
x_val_withconstraints = lib_constraint_summation.rand(x_bounds_withconstraints,
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if x_val_withconstraints is not None:
outputs = [None] * len(x_bounds)
for i, _ in enumerate(CONSTRAINT_PARAMS_IDX):
outputs[CONSTRAINT_PARAMS_IDX[i]] = x_val_withconstraints[i]
for i, _ in enumerate(outputs):
if outputs[i] is None:
outputs[i] = random.randint(x_bounds[i][0], x_bounds[i][1])
return outputs | [
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84,
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_minimize_constraints_fun_summation | (x) |
Minimize constraints fun summation
|
Minimize constraints fun summation
| def _minimize_constraints_fun_summation(x):
'''
Minimize constraints fun summation
'''
summation = sum([x[i] for i in CONSTRAINT_PARAMS_IDX])
return CONSTRAINT_UPPERBOUND >= summation >= CONSTRAINT_LOWERBOUND | [
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setup_platform | (hass, config, add_entities, discovery_info=None) | Set up the Vultr subscription (server) sensor. | Set up the Vultr subscription (server) sensor. | def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Vultr subscription (server) sensor."""
vultr = hass.data[DATA_VULTR]
subscription = config.get(CONF_SUBSCRIPTION)
name = config.get(CONF_NAME)
monitored_conditions = config.get(CONF_MONITORED_CONDITIONS)
if subscription not in vultr.data:
_LOGGER.error("Subscription %s not found", subscription)
return
sensors = []
for condition in monitored_conditions:
sensors.append(VultrSensor(vultr, subscription, condition, name))
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VultrSensor.__init__ | (self, vultr, subscription, condition, name) | Initialize a new Vultr sensor. | Initialize a new Vultr sensor. | def __init__(self, vultr, subscription, condition, name):
"""Initialize a new Vultr sensor."""
self._vultr = vultr
self._condition = condition
self._name = name
self.subscription = subscription
self.data = None
condition_info = MONITORED_CONDITIONS[condition]
self._condition_name = condition_info[0]
self._units = condition_info[1]
self._icon = condition_info[2] | [
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VultrSensor.name | (self) | Return the name of the sensor. | Return the name of the sensor. | def name(self):
"""Return the name of the sensor."""
try:
return self._name.format(self._condition_name)
except IndexError:
try:
return self._name.format(self.data["label"], self._condition_name)
except (KeyError, TypeError):
return self._name | [
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VultrSensor.icon | (self) | Return the icon used in the frontend if any. | Return the icon used in the frontend if any. | def icon(self):
"""Return the icon used in the frontend if any."""
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VultrSensor.unit_of_measurement | (self) | Return the unit of measurement to present the value in. | Return the unit of measurement to present the value in. | def unit_of_measurement(self):
"""Return the unit of measurement to present the value in."""
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VultrSensor.state | (self) | Return the value of this given sensor type. | Return the value of this given sensor type. | def state(self):
"""Return the value of this given sensor type."""
try:
return round(float(self.data.get(self._condition)), 2)
except (TypeError, ValueError):
return self.data.get(self._condition) | [
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VultrSensor.update | (self) | Update state of sensor. | Update state of sensor. | def update(self):
"""Update state of sensor."""
self._vultr.update()
self.data = self._vultr.data[self.subscription] | [
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async_get_conditions | (hass: HomeAssistant, device_id: str) | List device conditions for Cover devices. | List device conditions for Cover devices. | async def async_get_conditions(hass: HomeAssistant, device_id: str) -> List[dict]:
"""List device conditions for Cover devices."""
registry = await entity_registry.async_get_registry(hass)
conditions: List[Dict[str, Any]] = []
# Get all the integrations entities for this device
for entry in entity_registry.async_entries_for_device(registry, device_id):
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if not state or ATTR_SUPPORTED_FEATURES not in state.attributes:
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supported_features = state.attributes[ATTR_SUPPORTED_FEATURES]
supports_open_close = supported_features & (SUPPORT_OPEN | SUPPORT_CLOSE)
# Add conditions for each entity that belongs to this integration
if supports_open_close:
conditions.append(
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CONF_CONDITION: "device",
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CONF_DOMAIN: DOMAIN,
CONF_ENTITY_ID: entry.entity_id,
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}
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conditions.append(
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}
)
if supported_features & SUPPORT_SET_POSITION:
conditions.append(
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CONF_CONDITION: "device",
CONF_DEVICE_ID: device_id,
CONF_DOMAIN: DOMAIN,
CONF_ENTITY_ID: entry.entity_id,
CONF_TYPE: "is_position",
}
)
if supported_features & SUPPORT_SET_TILT_POSITION:
conditions.append(
{
CONF_CONDITION: "device",
CONF_DEVICE_ID: device_id,
CONF_DOMAIN: DOMAIN,
CONF_ENTITY_ID: entry.entity_id,
CONF_TYPE: "is_tilt_position",
}
)
return conditions | [
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67,
0
] | [
143,
21
] | python | en | ['fr', 'en', 'en'] | True |
async_get_condition_capabilities | (hass: HomeAssistant, config: dict) | List condition capabilities. | List condition capabilities. | async def async_get_condition_capabilities(hass: HomeAssistant, config: dict) -> dict:
"""List condition capabilities."""
if config[CONF_TYPE] not in ["is_position", "is_tilt_position"]:
return {}
return {
"extra_fields": vol.Schema(
{
vol.Optional(CONF_ABOVE, default=0): vol.All(
vol.Coerce(int), vol.Range(min=0, max=100)
),
vol.Optional(CONF_BELOW, default=100): vol.All(
vol.Coerce(int), vol.Range(min=0, max=100)
),
}
)
} | [
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async_condition_from_config | (
config: ConfigType, config_validation: bool
) | Create a function to test a device condition. | Create a function to test a device condition. | def async_condition_from_config(
config: ConfigType, config_validation: bool
) -> condition.ConditionCheckerType:
"""Create a function to test a device condition."""
if config_validation:
config = CONDITION_SCHEMA(config)
if config[CONF_TYPE] in STATE_CONDITION_TYPES:
if config[CONF_TYPE] == "is_open":
state = STATE_OPEN
elif config[CONF_TYPE] == "is_closed":
state = STATE_CLOSED
elif config[CONF_TYPE] == "is_opening":
state = STATE_OPENING
elif config[CONF_TYPE] == "is_closing":
state = STATE_CLOSING
def test_is_state(hass: HomeAssistant, variables: TemplateVarsType) -> bool:
"""Test if an entity is a certain state."""
return condition.state(hass, config[ATTR_ENTITY_ID], state)
return test_is_state
if config[CONF_TYPE] == "is_position":
position = "current_position"
if config[CONF_TYPE] == "is_tilt_position":
position = "current_tilt_position"
min_pos = config.get(CONF_ABOVE)
max_pos = config.get(CONF_BELOW)
value_template = template.Template( # type: ignore
f"{{{{ state.attributes.{position} }}}}"
)
@callback
def template_if(hass: HomeAssistant, variables: TemplateVarsType = None) -> bool:
"""Validate template based if-condition."""
value_template.hass = hass
return condition.async_numeric_state(
hass, config[ATTR_ENTITY_ID], max_pos, min_pos, value_template
)
return template_if | [
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] | [
208,
22
] | python | en | ['en', 'en', 'en'] | True |
test_sensors | (hass) | Test creation of the sensors. | Test creation of the sensors. | async def test_sensors(hass):
"""Test creation of the sensors."""
mock_powerwall = await _mock_powerwall_with_fixtures(hass)
with patch(
"homeassistant.components.powerwall.config_flow.Powerwall",
return_value=mock_powerwall,
), patch(
"homeassistant.components.powerwall.Powerwall", return_value=mock_powerwall
):
assert await async_setup_component(hass, DOMAIN, _mock_get_config())
await hass.async_block_till_done()
device_registry = await hass.helpers.device_registry.async_get_registry()
reg_device = device_registry.async_get_device(
identifiers={("powerwall", "TG0123456789AB_TG9876543210BA")},
connections=set(),
)
assert reg_device.model == "PowerWall 2 (GW1)"
assert reg_device.sw_version == "1.45.1"
assert reg_device.manufacturer == "Tesla"
assert reg_device.name == "MySite"
state = hass.states.get("sensor.powerwall_site_now")
assert state.state == "0.032"
expected_attributes = {
"frequency": 60,
"energy_exported_(in_kW)": 10429.5,
"energy_imported_(in_kW)": 4824.2,
"instant_average_voltage": 120.7,
"unit_of_measurement": "kW",
"friendly_name": "Powerwall Site Now",
"device_class": "power",
"is_active": False,
}
# Only test for a subset of attributes in case
# HA changes the implementation and a new one appears
for key, value in expected_attributes.items():
assert state.attributes[key] == value
state = hass.states.get("sensor.powerwall_load_now")
assert state.state == "1.971"
expected_attributes = {
"frequency": 60,
"energy_exported_(in_kW)": 1056.8,
"energy_imported_(in_kW)": 4693.0,
"instant_average_voltage": 120.7,
"unit_of_measurement": "kW",
"friendly_name": "Powerwall Load Now",
"device_class": "power",
"is_active": True,
}
# Only test for a subset of attributes in case
# HA changes the implementation and a new one appears
for key, value in expected_attributes.items():
assert state.attributes[key] == value
state = hass.states.get("sensor.powerwall_battery_now")
assert state.state == "-8.55"
expected_attributes = {
"frequency": 60.0,
"energy_exported_(in_kW)": 3620.0,
"energy_imported_(in_kW)": 4216.2,
"instant_average_voltage": 240.6,
"unit_of_measurement": "kW",
"friendly_name": "Powerwall Battery Now",
"device_class": "power",
"is_active": True,
}
# Only test for a subset of attributes in case
# HA changes the implementation and a new one appears
for key, value in expected_attributes.items():
assert state.attributes[key] == value
state = hass.states.get("sensor.powerwall_solar_now")
assert state.state == "10.49"
expected_attributes = {
"frequency": 60,
"energy_exported_(in_kW)": 9864.2,
"energy_imported_(in_kW)": 28.2,
"instant_average_voltage": 120.7,
"unit_of_measurement": "kW",
"friendly_name": "Powerwall Solar Now",
"device_class": "power",
"is_active": True,
}
# Only test for a subset of attributes in case
# HA changes the implementation and a new one appears
for key, value in expected_attributes.items():
assert state.attributes[key] == value
state = hass.states.get("sensor.powerwall_charge")
assert state.state == "47"
expected_attributes = {
"unit_of_measurement": PERCENTAGE,
"friendly_name": "Powerwall Charge",
"device_class": "battery",
}
# Only test for a subset of attributes in case
# HA changes the implementation and a new one appears
for key, value in expected_attributes.items():
assert state.attributes[key] == value | [
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11,
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] | [
113,
45
] | python | en | ['en', 'en', 'en'] | True |
send_message | (hass, message, title=None, data=None) | Send a notification message. | Send a notification message. | def send_message(hass, message, title=None, data=None):
"""Send a notification message."""
info = {ATTR_MESSAGE: message}
if title is not None:
info[ATTR_TITLE] = title
if data is not None:
info[ATTR_DATA] = data
hass.services.call(DOMAIN, SERVICE_NOTIFY, info) | [
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DecisionEvent.action_scope | (self) | ActionScope: Load and discharge scope for agent to generate decision.
| ActionScope: Load and discharge scope for agent to generate decision.
| def action_scope(self) -> ActionScope:
"""ActionScope: Load and discharge scope for agent to generate decision.
"""
if self._action_scope is None:
self._action_scope = self._action_scope_func(self.port_idx, self.vessel_idx)
return self._action_scope | [
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DecisionEvent.early_discharge | (self) | int: Early discharge number of corresponding vessel.
| int: Early discharge number of corresponding vessel.
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"""
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DecisionEvent.__getstate__ | (self) | Return pickleable dictionary.
NOTE: this class do not support unpickle | Return pickleable dictionary. | def __getstate__(self):
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device_reg | (hass) | Return an empty, loaded, registry. | Return an empty, loaded, registry. | def device_reg(hass):
"""Return an empty, loaded, registry."""
return mock_device_registry(hass) | [
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37
] | python | en | ['en', 'fy', 'en'] | True |
entity_reg | (hass) | Return an empty, loaded, registry. | Return an empty, loaded, registry. | def entity_reg(hass):
"""Return an empty, loaded, registry."""
return mock_registry(hass) | [
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calls | (hass) | Track calls to a mock service. | Track calls to a mock service. | def calls(hass):
"""Track calls to a mock service."""
return async_mock_service(hass, "test", "automation") | [
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test_get_conditions | (hass, device_reg, entity_reg) | Test we get the expected conditions from a sensor. | Test we get the expected conditions from a sensor. | async def test_get_conditions(hass, device_reg, entity_reg):
"""Test we get the expected conditions from a sensor."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
config_entry = MockConfigEntry(domain="test", data={})
config_entry.add_to_hass(hass)
device_entry = device_reg.async_get_or_create(
config_entry_id=config_entry.entry_id,
connections={(device_registry.CONNECTION_NETWORK_MAC, "12:34:56:AB:CD:EF")},
)
for device_class in DEVICE_CLASSES:
entity_reg.async_get_or_create(
DOMAIN,
"test",
platform.ENTITIES[device_class].unique_id,
device_id=device_entry.id,
)
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
expected_conditions = [
{
"condition": "device",
"domain": DOMAIN,
"type": condition["type"],
"device_id": device_entry.id,
"entity_id": platform.ENTITIES[device_class].entity_id,
}
for device_class in DEVICE_CLASSES
for condition in ENTITY_CONDITIONS[device_class]
if device_class != "none"
]
conditions = await async_get_device_automations(hass, "condition", device_entry.id)
assert conditions == expected_conditions | [
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39,
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] | [
74,
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] | python | en | ['en', 'en', 'en'] | True |
test_get_condition_capabilities | (hass, device_reg, entity_reg) | Test we get the expected capabilities from a sensor condition. | Test we get the expected capabilities from a sensor condition. | async def test_get_condition_capabilities(hass, device_reg, entity_reg):
"""Test we get the expected capabilities from a sensor condition."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
config_entry = MockConfigEntry(domain="test", data={})
config_entry.add_to_hass(hass)
device_entry = device_reg.async_get_or_create(
config_entry_id=config_entry.entry_id,
connections={(device_registry.CONNECTION_NETWORK_MAC, "12:34:56:AB:CD:EF")},
)
entity_reg.async_get_or_create(
DOMAIN,
"test",
platform.ENTITIES["battery"].unique_id,
device_id=device_entry.id,
)
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
expected_capabilities = {
"extra_fields": [
{
"description": {"suffix": PERCENTAGE},
"name": "above",
"optional": True,
"type": "float",
},
{
"description": {"suffix": PERCENTAGE},
"name": "below",
"optional": True,
"type": "float",
},
]
}
conditions = await async_get_device_automations(hass, "condition", device_entry.id)
assert len(conditions) == 1
for condition in conditions:
capabilities = await async_get_device_automation_capabilities(
hass, "condition", condition
)
assert capabilities == expected_capabilities | [
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77,
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] | [
120,
52
] | python | en | ['en', 'en', 'en'] | True |
test_get_condition_capabilities_none | (hass, device_reg, entity_reg) | Test we get the expected capabilities from a sensor condition. | Test we get the expected capabilities from a sensor condition. | async def test_get_condition_capabilities_none(hass, device_reg, entity_reg):
"""Test we get the expected capabilities from a sensor condition."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
config_entry = MockConfigEntry(domain="test", data={})
config_entry.add_to_hass(hass)
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
conditions = [
{
"condition": "device",
"device_id": "8770c43885354d5fa27604db6817f63f",
"domain": "sensor",
"entity_id": "sensor.beer",
"type": "is_battery_level",
},
{
"condition": "device",
"device_id": "8770c43885354d5fa27604db6817f63f",
"domain": "sensor",
"entity_id": platform.ENTITIES["none"].entity_id,
"type": "is_battery_level",
},
]
expected_capabilities = {}
for condition in conditions:
capabilities = await async_get_device_automation_capabilities(
hass, "condition", condition
)
assert capabilities == expected_capabilities | [
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156,
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] | python | en | ['en', 'en', 'en'] | True |
test_if_state_not_above_below | (hass, calls, caplog) | Test for bad value conditions. | Test for bad value conditions. | async def test_if_state_not_above_below(hass, calls, caplog):
"""Test for bad value conditions."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
sensor1 = platform.ENTITIES["battery"]
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {"platform": "event", "event_type": "test_event1"},
"condition": [
{
"condition": "device",
"domain": DOMAIN,
"device_id": "",
"entity_id": sensor1.entity_id,
"type": "is_battery_level",
}
],
"action": {"service": "test.automation"},
}
]
},
)
assert "must contain at least one of below, above" in caplog.text | [
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190,
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] | python | en | ['en', 'en', 'en'] | True |
test_if_state_above | (hass, calls) | Test for value conditions. | Test for value conditions. | async def test_if_state_above(hass, calls):
"""Test for value conditions."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
sensor1 = platform.ENTITIES["battery"]
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {"platform": "event", "event_type": "test_event1"},
"condition": [
{
"condition": "device",
"domain": DOMAIN,
"device_id": "",
"entity_id": sensor1.entity_id,
"type": "is_battery_level",
"above": 10,
}
],
"action": {
"service": "test.automation",
"data_template": {
"some": "{{ trigger.%s }}"
% "}} - {{ trigger.".join(("platform", "event.event_type"))
},
},
}
]
},
)
await hass.async_block_till_done()
assert hass.states.get(sensor1.entity_id).state == STATE_UNKNOWN
assert len(calls) == 0
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 9)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 11)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0].data["some"] == "event - test_event1" | [
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248,
57
] | python | en | ['en', 'en', 'en'] | True |
test_if_state_below | (hass, calls) | Test for value conditions. | Test for value conditions. | async def test_if_state_below(hass, calls):
"""Test for value conditions."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
sensor1 = platform.ENTITIES["battery"]
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {"platform": "event", "event_type": "test_event1"},
"condition": [
{
"condition": "device",
"domain": DOMAIN,
"device_id": "",
"entity_id": sensor1.entity_id,
"type": "is_battery_level",
"below": 10,
}
],
"action": {
"service": "test.automation",
"data_template": {
"some": "{{ trigger.%s }}"
% "}} - {{ trigger.".join(("platform", "event.event_type"))
},
},
}
]
},
)
await hass.async_block_till_done()
assert hass.states.get(sensor1.entity_id).state == STATE_UNKNOWN
assert len(calls) == 0
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 11)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 9)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0].data["some"] == "event - test_event1" | [
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] | [
251,
0
] | [
306,
57
] | python | en | ['en', 'en', 'en'] | True |
test_if_state_between | (hass, calls) | Test for value conditions. | Test for value conditions. | async def test_if_state_between(hass, calls):
"""Test for value conditions."""
platform = getattr(hass.components, f"test.{DOMAIN}")
platform.init()
assert await async_setup_component(hass, DOMAIN, {DOMAIN: {CONF_PLATFORM: "test"}})
await hass.async_block_till_done()
sensor1 = platform.ENTITIES["battery"]
assert await async_setup_component(
hass,
automation.DOMAIN,
{
automation.DOMAIN: [
{
"trigger": {"platform": "event", "event_type": "test_event1"},
"condition": [
{
"condition": "device",
"domain": DOMAIN,
"device_id": "",
"entity_id": sensor1.entity_id,
"type": "is_battery_level",
"above": 10,
"below": 20,
}
],
"action": {
"service": "test.automation",
"data_template": {
"some": "{{ trigger.%s }}"
% "}} - {{ trigger.".join(("platform", "event.event_type"))
},
},
}
]
},
)
await hass.async_block_till_done()
assert hass.states.get(sensor1.entity_id).state == STATE_UNKNOWN
assert len(calls) == 0
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 9)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 0
hass.states.async_set(sensor1.entity_id, 11)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 1
assert calls[0].data["some"] == "event - test_event1"
hass.states.async_set(sensor1.entity_id, 21)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 1
hass.states.async_set(sensor1.entity_id, 19)
hass.bus.async_fire("test_event1")
await hass.async_block_till_done()
assert len(calls) == 2
assert calls[1].data["some"] == "event - test_event1" | [
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] | [
309,
0
] | [
376,
57
] | python | en | ['en', 'en', 'en'] | True |
list_image_files | () | List the image files in the cluster.
Returns:
None.
| List the image files in the cluster. | def list_image_files():
"""List the image files in the cluster.
Returns:
None.
"""
master_details = redis_controller.get_master_details()
return list(master_details["image_files"].values()) | [
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] | [
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] | [
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] | python | en | ['en', 'en', 'en'] | True |
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