How to use the ledfx.effects.Effect.no_registration function in LedFx

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github ahodges9 / LedFx / ledfx / effects / temporal.py View on Github external
import time
import logging
from ledfx.effects import Effect
from threading import Thread
import voluptuous as vol

_LOGGER = logging.getLogger(__name__)
DEFAULT_RATE = 1.0 / 60.0

@Effect.no_registration
class TemporalEffect(Effect):
    _thread_active = False
    _thread = None

    CONFIG_SCHEMA = vol.Schema({
        vol.Optional('speed', default = 1.0, description="Speed of the effect"):  vol.Coerce(float)
    })

    def thread_function(self):

        while self._thread_active:
            startTime = time.time()

            # Treat the return value of the effect loop as a speed modifier
            # such that effects that are nartually faster or slower can have
            # a consistent feel.
github ahodges9 / LedFx / ledfx / effects / legacyAudio.py View on Github external
"""Returns a melbank curve interpolated up to a given size"""
        if filtered is True:
            return math.interpolate(self.melbank_filtered(), size)
                
        return math.interpolate(self.melbank(), size)


# TODO: Rationalize
_legacy_melbank_source = None
def get_legacy_melbank_input_source(ledfx):
    global _legacy_melbank_source
    if _legacy_melbank_source is None:
        _legacy_melbank_source = LegacyMelbankInputSource(ledfx, ledfx.config.get('audio', {}))
    return _legacy_melbank_source

@Effect.no_registration
class LegacyAudioReactiveEffect(Effect):
    """
    Base for audio reactive effects. This really just subscribes
    to the melbank input source and forwards input along to the 
    subclasses. This can be expaneded to do the common r/g/b filters.
    """

    def activate(self, channel):
        super().activate(channel)
        get_legacy_melbank_input_source(self._ledfx).subscribe(
            self._audio_data_updated)

    def deactivate(self):
        get_legacy_melbank_input_source(self._ledfx).unsubscribe(
            self._audio_data_updated)
        super().deactivate()
github ahodges9 / LedFx / ledfx / effects / audio.py View on Github external
# good balance between wasting compute resources and quality filters.
        return self.common_filter.update(self.melbank())

    def sample_melbank(self, hz):
        """Samples the melbank curve at a given frequency"""
        return np.interp(hz, self.melbank_frequencies, self.melbank())

    @lru_cache(maxsize=32)
    def interpolated_melbank(self, size, filtered = True):
        """Returns a melbank curve interpolated up to a given size"""
        if filtered is True:
            return math.interpolate(self.melbank_filtered(), size)

        return math.interpolate(self.melbank(), size)

@Effect.no_registration
class AudioReactiveEffect(Effect):
    """
    Base for audio reactive effects. This really just subscribes
    to the melbank input source and forwards input along to the 
    subclasses. This can be expanded to do the common r/g/b filters.
    """

    def activate(self, channel):
        _LOGGER.info('Activating AudioReactiveEffect.')
        super().activate(channel)

        if not self._ledfx.audio or id(MelbankInputSource) != id(self._ledfx.audio.__class__):
            self._ledfx.audio = MelbankInputSource(self._ledfx, self._ledfx.config.get('audio', {}))

        self.audio = self._ledfx.audio
        self._ledfx.audio.subscribe(
github ahodges9 / LedFx / ledfx / effects / gradient.py View on Github external
from ledfx.effects.temporal import TemporalEffect
from ledfx.color import COLORS, GRADIENTS
from ledfx.effects import Effect
import voluptuous as vol
import numpy as np
import logging

_LOGGER = logging.getLogger(__name__)

@Effect.no_registration
class GradientEffect(Effect):
    """
    Simple effect base class that supplies gradient functionality. This
    is intended for effect which instead of outputing exact colors output
    colors based upon some configured color pallet.
    """

    CONFIG_SCHEMA = vol.Schema({
        vol.Optional('gradient_name', description='Preset gradient name', default = 'Spectral'): vol.In(list(GRADIENTS.keys())),
        vol.Optional('gradient_roll', description='Amount to shift the gradient', default = 0): vol.Coerce(int),
    })

    _gradient_curve = None

    def _comb(self, N, k):
        N = int(N)