util - helpers and utilities

The util package contains useful classes which make rule creation easier.

Functions

min

This function is very useful together with the all possible functions of ValueMode for the MultiModeItem. For example it can be used to automatically disable or calculate the new value of the ValueMode It behaves like the standard python function except that it will ignore None values which are sometimes set as the item state.

from HABApp.util.functions import min

print(min(1, 2, None))

min(*args, default=None)

Behaves like the built-in min function but ignores any None values. e.g. min([1, None, 2]) == 1. If the iterable is empty default will be returned.

Parameters:

args – Single iterable or 1..n arguments
default – Value that will be returned if the iterable is empty

Returns:

min value

max

This function is very useful together with the all possible functions of ValueMode for the MultiModeItem. For example it can be used to automatically disable or calculate the new value of the ValueMode It behaves like the standard python function except that it will ignore None values which are sometimes set as the item state.

from HABApp.util.functions import max

print(max(1, 2, None))

max(*args, default=None)

Behaves like the built-in max function but ignores any None values. e.g. max([1, None, 2]) == 2. If the iterable is empty default will be returned.

Parameters:

args – Single iterable or 1..n arguments
default – Value that will be returned if the iterable is empty

Returns:

max value

rgb_to_hsb

Converts a rgb value to hsb color space

from HABApp.util.functions import rgb_to_hsb

print(rgb_to_hsb(224, 201, 219))

rgb_to_hsb(r, g, b, max_rgb_value=255, ndigits=2)

Convert from rgb to hsb/hsv

Parameters:

r (Union[int, float]) – red value
g (Union[int, float]) – green value
b (Union[int, float]) – blue value
max_rgb_value (int) – maximal possible rgb value (e.g. 255 for 8 bit or 65.535 for 16bit values)
ndigits (Optional[int]) – Round the hsb values to the specified digits, None to disable rounding

Return type:

Tuple[float, float, float]

Returns:

Values for hue, saturation and brightness / value

hsb_to_rgb

Converts a hsb value to the rgb color space

from HABApp.util.functions import hsb_to_rgb

print(hsb_to_rgb(150, 40, 100))

hsb_to_rgb(h, s, b, max_rgb_value=255)

Convert from rgb to hsv/hsb

Parameters:

h – hue
s – saturation
b – brightness / value
max_rgb_value – maximal value for the returned rgb values (e.g. 255 for 8 bit or 65.535 16bit values)

Return type:

Tuple[int, int, int]

Returns:

Values for red, green and blue

Rate limiter

A simple rate limiter implementation which can be used in rules. The limiter is not rule bound so the same limiter can be used in multiples files. It also works as expected across rule reloads.

Defining limits

Limits can either be explicitly added or through a textual description. If the limit does already exist it will not be added again. It’s possible to explicitly create the limits or through some small textual description with the following syntax:

[count] [per|in|/] [count (optional)] [s|sec|second|m|min|minute|hour|h|day|month|year] [s (optional)]

Whitespaces are ignored and can be added as desired

Examples:

5 per minute
20 in 15 mins
300 / hour

Fixed window elastic expiry algorithm

This algorithm implements a fixed window with elastic expiry. That means if the limit is hit the interval time will be increased by the expiry time.

For example 3 per minute:

First hit comes 00:00:00. Two more hits at 00:00:59. All three pass, intervall goes from 00:00:00 - 00:01:00. Another hit comes at 00:01:01 an passes. The intervall now goes from 00:01:01 - 00:02:01.
First hit comes 00:00:00. Two more hits at 00:00:30. All three pass. Another hit comes at 00:00:45, which gets rejected and the intervall now goes from 00:00:00 - 00:01:45. A rejected hit makes the interval time longer by expiry time. If another hit comes at 00:01:30 it will also get rejected and the intervall now goes from 00:00:00 - 00:02:30.

Leaky bucket algorithm

The leaky bucket algorithm is based on the analogy of a bucket that leaks at a constant rate. As long as the bucket is not full the hits will pass. If the bucket overflows the hits will get rejected. Since the bucket leaks at a constant rate it will gradually get empty again thus allowing hits to pass again.

Example

from HABApp.util import RateLimiter

# Create or get existing, name is case insensitive
limiter = RateLimiter('MyRateLimiterName')

# define limits, duplicate limits of the same algorithm will only be added once
# These lines all define the same limit so it'll result in only one limiter added
limiter.add_limit(5, 60)   # add limits explicitly
limiter.parse_limits('5 per minute').parse_limits('5 in 60s', '5/60seconds')  # add limits through text

# add additional limit with leaky bucket algorithm
limiter.add_limit(10, 100, algorithm='leaky_bucket')

# add additional limit with fixed window elastic expiry algorithm
limiter.add_limit(10, 100, algorithm='fixed_window_elastic_expiry')

# Test the limit without increasing the hits
for _ in range(100):
    assert limiter.test_allow()

# the limiter will allow 5 calls ...
for _ in range(5):
    assert limiter.allow()

# and reject the 6th
assert not limiter.allow()

# It's possible to get statistics about the limiter and the corresponding windows
print(limiter.info())

# There is a counter that keeps track of the total skips that can be reset
print('Counter:')
print(limiter.total_skips)
limiter.reset()     # Can be reset
print(limiter.total_skips)

LimiterInfo(skips=1, total_skips=1, limits=[LeakyBucketLimitInfo(hits=5, skips=1, limit=5, time_remaining=11.999655897999219), LeakyBucketLimitInfo(hits=5, skips=0, limit=10, time_remaining=9.999695871999393), FixedWindowElasticExpiryLimitInfo(hits=5, skips=0, limit=10, time_remaining=99.99997635700038)])
Counter:
1
0

Recommendation

Limiting external requests to an external API works well with the leaky bucket algorithm (maybe with some initial hits). For limiting notifications the best results can be achieved by combining both algorithms. Fixed window elastic expiry will notify but block until an issue is resolved, that’s why it’s more suited for small intervals. Leaky bucket will allow hits even while the issue persists, that’s why it’s more suited for larger intervals.

from HABApp.util import RateLimiter

limiter = RateLimiter('MyNotifications')
limiter.parse_limits('5 in 1 minute', algorithm='fixed_window_elastic_expiry')
limiter.parse_limits("20 in 1 hour", algorithm='leaky_bucket')

Documentation

RateLimiter(name)

Create a new rate limiter or return an already existing one with a given name.

Parameters:: name (str) – case insensitive name of limiter
Return type:: Limiter
Returns:: Rate limiter object

class Limiter(name)

property total_skips: int: A counter to track skips which can be manually reset

add_limit(allowed, interval, *, initial_hits=0, algorithm='leaky_bucket')

Add a new rate limit

Parameters:

allowed (int) – How many hits are allowed
interval (int) – Interval in seconds
initial_hits (int) – How many hits the limit already has when it gets initially created
algorithm (Literal['leaky_bucket', 'fixed_window_elastic_expiry']) – Which algorithm should this limit use

Return type:

Limiter

parse_limits(*text, initial_hits=0, algorithm='leaky_bucket')

Add one or more limits in textual form, e.g. 5 in 60s, 10 per hour or 10/15 mins. If the limit does already exist it will not be added again.

Parameters:

text (str) – textual description of limit
initial_hits (int) – How many hits the limit already has when it gets initially created
algorithm (Literal['leaky_bucket', 'fixed_window_elastic_expiry']) – Which algorithm should these limits use

Return type:

Limiter

allow()

Test the limit(s).

Return type:: bool
Returns:: True if allowed, False if forbidden

test_allow()

Test the limit(s) without hitting it. Calling this will not increase the hit counter.

Return type:: bool
Returns:: True if allowed, False if forbidden

info()

Get some info about the limiter and the defined windows

Return type:: LimiterInfo

reset()

Reset the skip counter

Return type:: Limiter

class LimiterInfo(skips, total_skips, limits)

skips: int: How many entries were skipped in the active interval(s)

total_skips: int: How many entries were skipped in total

limits: List[Union[FixedWindowElasticExpiryLimitInfo, LeakyBucketLimitInfo]]: Info for every limit

class FixedWindowElasticExpiryLimitInfo(hits, skips, limit, time_remaining)

time_remaining: float: Time remaining until this window will reset

hits: int: Hits

skips: int: Skips

limit: int: Boundary

class LeakyBucketLimitInfo(hits, skips, limit, time_remaining)

time_remaining: float: Time remaining until the next drop

hits: int: Hits

skips: int: Skips

limit: int: Boundary

Statistics

Example

s = Statistics(max_samples=4)
for i in range(1,4):
    s.add_value(i)
    print(s)

<Statistics sum: 1.0, min: 1.00, max: 1.00, mean: 1.00, median: 1.00>
<Statistics sum: 3.0, min: 1.00, max: 2.00, mean: 1.50, median: 1.50>
<Statistics sum: 6.0, min: 1.00, max: 3.00, mean: 2.00, median: 2.00>

Documentation

class Statistics(max_age=None, max_samples=None)

Calculate mathematical statistics of numerical values.

Variables:

sum – sum of all values
min – minimum of all values
max – maximum of all values
mean – mean of all values
median – median of all values
last_value – last added value
last_change – timestamp the last time a value was added

update(): update values without adding a new value

add_value(value)

Add a new value and recalculate statistical values

Parameters:: value – new value

Fade

Fade is a helper class which allows to easily fade a value up or down.

Example

This example shows how to fade a Dimmer from 0 to 100 in 30 secs

from HABApp import Rule
from HABApp.openhab.items import DimmerItem
from HABApp.util import Fade

class FadeExample(Rule):
    def __init__(self):
        super().__init__()
        self.dimmer = DimmerItem.get_item('Dimmer1')
        self.fade = Fade(callback=self.fade_value)  # self.dimmer.percent would also be a good callback in this example

        # Setup the fade and schedule its execution
        # Fade from 0 to 100 in 30s
        self.fade.setup(0, 100, 30).schedule_fade()

    def fade_value(self, value):
        self.dimmer.percent(value)

FadeExample()

This example shows how to fade three values together (e.g. for an RGB strip)

from HABApp import Rule
from HABApp.openhab.items import DimmerItem
from HABApp.util import Fade

class Fade3Example(Rule):
    def __init__(self):
        super().__init__()
        self.fade1 = Fade(callback=self.fade_value)
        self.fade2 = Fade()
        self.fade3 = Fade()

        # Setup the fades and schedule the execution of one fade where the value gets updated every sec
        self.fade3.setup(0, 100, 30)
        self.fade2.setup(0, 50, 30)
        self.fade1.setup(0, 25, 30, min_step_duration=1).schedule_fade()

    def fade_value(self, value):
        value1 = value
        value2 = self.fade2.get_value()
        value3 = self.fade3.get_value()

Fade3Example()

Documentation

class Fade(callback=None, min_value=0, max_value=100)

Helper to easily fade values up/down

Variables:

min_value – minimum valid value for the fade value
max_value – maximum valid value for the fade value
callback – Function with one argument that will be automatically called with the new values when the scheduled fade runs

setup(start_value, stop_value, duration, min_step_duration=0.2, now=None)

Calculates everything that is needed to fade a value

Parameters:

start_value (Union[int, float]) – Start value
stop_value (Union[int, float]) – Stop value
duration (Union[int, float, timedelta]) – How long shall the fade take
min_step_duration (float) – minimum step duration (min 0.2 secs)
now (Optional[float]) – time.time() timestamp to sync multiple fades together

Return type:

Fade

get_value(now=None)

Returns the current value. If the fade is finished it will always return the stop value.

Parameters:: now (Optional[float]) – time.time() timestamp for which the value shall be returned. Can be used to sync multiple fades together. Not required.
Return type:: float
Returns:: current value

property is_finished: bool: True if the fade is finished

schedule_fade()

Automatically run the fade with the Scheduler. The callback can be used to set the current fade value e.g. on an item. Calling this on a running fade will restart the fade

Return type:: Fade

stop_fade(): Stop the scheduled fade. This can be called multiple times without error

EventListenerGroup

EventListenerGroup is a helper class which allows to subscribe to multiple items at once. All subscriptions can be canceled together, too. This is useful if e.g. something has to be done once after a sensor reports a value.

Example

This is a rule which will turn on the lights once (!) in a room on the first movement in the morning. The lights will only turn on after 4 and before 8 and two movement sensors are used to pick up movement.

from datetime import time

from HABApp import Rule
from HABApp.core.events import ValueChangeEventFilter
from HABApp.openhab.items import SwitchItem, NumberItem
from HABApp.util import EventListenerGroup


class EventListenerGroupExample(Rule):
    def __init__(self):
        super().__init__()
        self.lights = SwitchItem.get_item('RoomLights')
        self.sensor_move_1 = NumberItem.get_item('MovementSensor1')
        self.sensor_move_2 = NumberItem.get_item('MovementSensor2')

        # use a list of items which will be subscribed with the same callback and event
        self.listeners = EventListenerGroup().add_listener(
            [self.sensor_move_1, self.sensor_move_2], self.sensor_changed, ValueChangeEventFilter())

        self.run.on_every_day(time(4), self.listen_sensors)
        self.run.on_every_day(time(8), self.sensors_cancel)

    def listen_sensors(self):
        self.listeners.listen()

    def sensors_cancel(self):
        self.listeners.cancel()

    def sensor_changed(self, event):
        self.listeners.cancel()
        self.lights.on()

EventListenerGroupExample()

Documentation

class EventListenerGroup

Helper to create/cancel multiple event listeners simultaneously

property active: bool

Returns:: True if the listeners are currently active

listen(): Create all event listeners. If the event listeners are already active this will do nothing.

cancel(): Cancel the active event listeners. If the event listeners are not active this will do nothing.

activate_listener(name)

Resume a previously deactivated listener creator in the group.

Parameters:: name (str) – item name or alias of the listener
Returns:: True if it was activated, False if it was already active

deactivate_listener(name, cancel_if_active=True)

Exempt the listener creator from further listener/cancel calls

Parameters:

name (str) – item name or alias of the listener
cancel_if_active – Cancel the listener if it is active

Returns:

True if it was deactivated, False if it was already deactivated

add_listener(item, callback, event_filter, alias=None)

Add an event listener to the group

Parameters:

item (Union[TypeVar(HINT_ITEM_OBJ, bound= BaseItem), Iterable[TypeVar(HINT_ITEM_OBJ, bound= BaseItem)]]) – Single or multiple items
callback (Callable[[Any], Any]) – Callback for the item(s)
event_filter (TypeVar(HINT_EVENT_FILTER_OBJ, bound= EventFilterBase)) – Event filter for the item(s)
alias (Optional[str]) – Alias if an item with the same name does already exist (e.g. if different callbacks shall be created for the same item)

Return type:

EventListenerGroup

Returns:

self

add_no_update_watcher(item, callback, seconds, alias=None)

Add an no update watcher to the group. On listen this will create a no update watcher and: the corresponding event listener that will trigger the callback

Parameters:

item (Union[TypeVar(HINT_ITEM_OBJ, bound= BaseItem), Iterable[TypeVar(HINT_ITEM_OBJ, bound= BaseItem)]]) – Single or multiple items
callback (Callable[[Any], Any]) – Callback for the item(s)
seconds (Union[int, float, timedelta]) – No update time for the no update watcher
alias (Optional[str]) – Alias if an item with the same name does already exist (e.g. if different callbacks shall be created for the same item)

Return type:

EventListenerGroup

Returns:

self

add_no_change_watcher(item, callback, seconds, alias=None)

Add a no change watcher to the group. On listen this will create a no change watcher and: the corresponding event listener that will trigger the callback

Parameters:

item (Union[TypeVar(HINT_ITEM_OBJ, bound= BaseItem), Iterable[TypeVar(HINT_ITEM_OBJ, bound= BaseItem)]]) – Single or multiple items
callback (Callable[[Any], Any]) – Callback for the item(s)
seconds (Union[int, float, timedelta]) – No update time for the no change watcher
alias (Optional[str]) – Alias if an item with the same name does already exist (e.g. if different callbacks shall be created for the same item)

Return type:

EventListenerGroup

Returns:

self

MultiModeItem

Prioritizer item which automatically switches between values with different priorities. Very useful when different states or modes overlap, e.g. automatic and manual mode. etc.

Basic Example

import HABApp
from HABApp.core.events import ValueUpdateEventFilter
from HABApp.util.multimode import MultiModeItem, ValueMode

class MyMultiModeItemTestRule(HABApp.Rule):
    def __init__(self):
        super().__init__()

        # create a new MultiModeItem
        item = MultiModeItem.get_create_item('MultiModeTestItem')
        item.listen_event(self.item_update, ValueUpdateEventFilter())

        # create two different modes which we will use and add them to the item
        auto = ValueMode('Automatic', initial_value=5)
        manu = ValueMode('Manual', initial_value=0)
        # Add the auto mode with priority 0 and the manual mode with priority 10
        item.add_mode(0, auto).add_mode(10, manu)

        # This shows how to enable/disable a mode and how to get a mode from the item
        print('disable/enable the higher priority mode')
        item.get_mode('manual').set_enabled(False)  # disable mode
        item.get_mode('manual').set_value(11)       # setting a value will enable it again

        # This shows that changes of the lower priority is only shown when
        # the mode with the higher priority gets disabled
        print('')
        print('Set value of lower priority')
        auto.set_value(55)
        print('Disable higher priority')
        manu.set_enabled(False)

    def item_update(self, event):
        print(f'State: {event.value}')

MyMultiModeItemTestRule()

disable/enable the higher priority mode
State: 5
State: 11

Set value of lower priority
State: 11
Disable higher priority
State: 55

Advanced Example

import logging
import HABApp
from HABApp.core.events import ValueUpdateEventFilter
from HABApp.util.multimode import MultiModeItem, ValueMode

class MyMultiModeItemTestRule(HABApp.Rule):
    def __init__(self):
        super().__init__()

        # create a new MultiModeItem
        item = MultiModeItem.get_create_item('MultiModeTestItem')
        item.listen_event(self.item_update, ValueUpdateEventFilter())

        # helper to print the heading so we have a nice output
        def print_heading(_heading):
            print('')
            print('-' * 80)
            print(_heading)
            print('-' * 80)
            for p, m in item.all_modes():
                print(f'Prio {p:2d}: {m}')
            print('')


        log = logging.getLogger('AdvancedMultiMode')

        # create modes and add them
        auto = ValueMode('Automatic', initial_value=5, logger=log)
        manu = ValueMode('Manual', initial_value=10, logger=log)
        item.add_mode(0, auto).add_mode(10, manu)


        # it is possible to automatically disable a mode
        # this will disable the manual mode if the automatic mode
        # sets a value greater equal manual mode
        print_heading('Automatically disable mode')

        # A custom function can also disable the mode:
        manu.auto_disable_func = lambda low, own: low >= own

        auto.set_value(11) # <-- manual now gets disabled because
        auto.set_value(4)  #     the lower priority value is >= itself


        # It is possible to use functions to calculate the new value for a mode.
        # E.g. shutter control and the manual mode moves the shades. If it's dark the automatic
        # mode closes the shutter again. This could be achieved by automatically disabling the
        # manual mode or if the state should be remembered then the max function should be used

        # create a move and use the max function for output calculation
        manu = ValueMode('Manual', initial_value=5, logger=log, calc_value_func=max)
        item.add_mode(10, manu)    # overwrite the earlier added mode

        print_heading('Use of functions')

        auto.set_value(7)   # manu uses max, so the value from auto is used
        auto.set_value(3)

    def item_update(self, event):
        print(f'Item value: {event.value}')

MyMultiModeItemTestRule()

--------------------------------------------------------------------------------
Automatically disable mode
--------------------------------------------------------------------------------
Prio  0: <ValueMode Automatic enabled: True, value: 5>
Prio 10: <ValueMode Manual enabled: True, value: 10>

[AdvancedMultiMode]     INFO | [x] Automatic: 11
[AdvancedMultiMode]     INFO | [ ] Manual (function)
Item value: 11
[AdvancedMultiMode]     INFO | [x] Automatic: 4
Item value: 4

--------------------------------------------------------------------------------
Use of functions
--------------------------------------------------------------------------------
Prio  0: <ValueMode Automatic enabled: True, value: 4>
Prio 10: <ValueMode Manual enabled: True, value: 5>

[AdvancedMultiMode]     INFO | [x] Automatic: 7
Item value: 7
[AdvancedMultiMode]     INFO | [x] Automatic: 3
Item value: 5

Example SwitchItemValueMode

The SwitchItemMode is same as ValueMode but enabled/disabled of the mode is controlled by a openHAB SwitchItem. This is very useful if the mode shall be deactivated from the openHAB sitemaps.

import HABApp
from HABApp.openhab.items import SwitchItem
from HABApp.util.multimode import MultiModeItem, SwitchItemValueMode, ValueMode

class MyMultiModeItemTestRule(HABApp.Rule):
    def __init__(self):
        super().__init__()

        # create a new MultiModeItem
        item = MultiModeItem.get_create_item('MultiModeTestItem')

        # this switch allows to enable/disable the mode
        switch = SwitchItem.get_item('Automatic_Enabled')
        print(f'Switch is {switch}')

        # this is how the switch gets linked to the mode
        # if the switch is on, the mode is on, too
        mode = SwitchItemValueMode('Automatic', switch)
        print(mode)

        # Use invert_switch if the desired behaviour is
        # if the switch is off, the mode is on
        mode = SwitchItemValueMode('AutomaticOff', switch, invert_switch=True)
        print(mode)

        # This shows how the SwitchItemValueMode can be used to disable any logic except for the manual mode.
        # Now everything can be enabled/disabled from the openHAB sitemap
        item.add_mode(100, mode)
        item.add_mode(101, ValueMode('Manual'))

MyMultiModeItemTestRule()

Switch is ON
<SwitchItemValueMode Automatic enabled: True, value: None>
<SwitchItemValueMode AutomaticOff enabled: False, value: None>

Documentation

MultiModeItem

class MultiModeItem()

Prioritizer Item

classmethod get_create_item(name, initial_value=None, default_value=<MISSING>)

Creates a new item in HABApp and returns it or returns the already existing one with the given name

Parameters:

name (str) – item name
initial_value – state the item will have if it gets created
default_value – Default value that will be sent if no mode is active

Return type:

MultiModeItem

Returns:

The created or existing item

remove_mode(name)

Remove mode if it exists

Parameters:: name (str) – name of the mode (case-insensitive)
Return type:: bool
Returns:: True if something was removed, False if nothing was found

add_mode(priority, mode)

Add a new mode to the item, if it already exists it will be overwritten

Parameters:

priority (int) – priority of the mode
mode (TypeVar(HINT_BASE_MODE, bound= BaseMode)) – instance of the MultiMode class

Return type:

MultiModeItem

all_modes()

Returns a sorted list containing tuples with the priority and the mode

Return type:: List[Tuple[int, TypeVar(HINT_BASE_MODE, bound= BaseMode)]]
Returns:: List with priorities and modes

get_mode(name)

Returns a created mode

Parameters:: name (str) – name of the mode (case insensitive)
Return type:: TypeVar(HINT_BASE_MODE, bound= BaseMode)
Returns:: The requested MultiModeValue

calculate_value()

Recalculate the value. If the new value is not MISSING the calculated value will be set as the item state and the corresponding events will be generated.

Return type:: Any
Returns:: new value

ValueMode

class ValueMode(name, initial_value=None, enabled=None, enable_on_value=True, logger=None, auto_disable_after=None, auto_disable_func=None, calc_value_func=None)

Variables:

last_update (datetime) – Timestamp of the last update/enable of this value
auto_disable_after (Optional[timedelta]) – Automatically disable this mode after a given timedelta on the next recalculation
auto_disable_func (Optional[Callable[[Any, Any], bool]]) – Function which can be used to disable this mode. Any function that accepts two Arguments can be used. First arg is value with lower priority, second argument is own value. Return True to disable this mode.
calc_value_func (Optional[Callable[[Any, Any], Any]]) – Function to calculate the new value (e.g. min or max). Any function that accepts two Arguments can be used. First arg is value with lower priority, second argument is own value.

property value: Returns the current value

property enabled: bool: Returns if the value is enabled

set_value(value, only_on_change=False)

Set new value and recalculate overall value. If enable_on_value is set, setting a value will also enable the mode.

Parameters:

value – new value
only_on_change (bool) – will set/enable the mode only if value differs or the mode is disabled

Returns:

False if the value was not set, True otherwise

set_enabled(value, only_on_change=False)

Enable or disable this value and recalculate overall value

Parameters:

value (bool) – True/False
only_on_change (bool) – enable only on change

Return type:

bool

Returns:

True if the value was set else False

cancel(): Remove the mode from the parent MultiModeItem and stop processing it

SwitchItemValueMode

class SwitchItemValueMode(name, switch_item, invert_switch=False, initial_value=None, logger=None, auto_disable_after=None, auto_disable_func=None, calc_value_func=None)

SwitchItemMode, same as ValueMode but enabled/disabled of the mode is controlled by a OpenHAB SwitchItem

Variables:

last_update (datetime) – Timestamp of the last update/enable of this value
auto_disable_after (Optional[timedelta]) – Automatically disable this mode after a given timedelta on the next recalculation
auto_disable_func (Optional[Callable[[Any, Any], bool]]) – Function which can be used to disable this mode. Any function that accepts two Arguments can be used. First arg is value with lower priority, second argument is own value. Return True to disable this mode.
calc_value_func (Optional[Callable[[Any, Any], Any]]) – Function to calculate the new value (e.g. min or max). Any function that accepts two Arguments can be used. First arg is value with lower priority, second argument is own value.

cancel(): Remove the mode from the parent MultiModeItem and stop processing it

property enabled: bool: Returns if the value is enabled

set_value(value, only_on_change=False)

Set new value and recalculate overall value. If enable_on_value is set, setting a value will also enable the mode.

Parameters:

value – new value
only_on_change (bool) – will set/enable the mode only if value differs or the mode is disabled

Returns:

False if the value was not set, True otherwise

property value: Returns the current value