Nanoleafapi Alternatives

nanoleafapi reviews and mentions

• EO2 -> Nanoleaf palette sync
  2 projects | /r/Nanoleaf | 23 Aug 2021

  #requires numpy, pillow #eoPython - https://github.com/tk421storm/eo-python #nanoleafapi - https://github.com/MylesMor/nanoleafapi # # tested in python 3.8 on Win 11 # from urllib.request import urlretrieve from tempfile import gettempdir from os.path import join, splitext, dirname, realpath from uuid import uuid4 from pprint import pprint from time import sleep from eopython import ElectricAccount import numpy as np from nanoleafapi import Nanoleaf, WHITE from PIL import Image nanoleafIP= REPLACE_ME nanoleafAuthToken= REPLACE_ME effect_data = { "command": "add", "version":"2.0", "animName": "EO2", "animType": "plugin", "colorType": "HSB", "pluginUuid": 'ba632d3e-9c2b-4413-a965-510c839b3f71', #https://forum.nanoleaf.me/docs/openapi#_rwyy54qdnrv6 "pluginType": "color", "animData": None, "palette": [ # { # "hue": 0, being a number between 0-360 # "saturation": 100, being a number between 0-100 # "brightness": 100, being a number between 0-100 # }, ], "pluginOptions": [ { "name": "transTime", "value": 100 }, # { useful for some plugins, but doesnt effect currently selected (random) # "name": "linDirection", # "value": "right" # }, { "name": "loop", "value": True }, { "name": "nColorsPerFrame", "value": 2 } ], "brightnessRange": {'minValue':100, 'maxValue':100}, "loop": True } # # thanks to unutbu at https://stackoverflow.com/questions/18801218/build-a-color-palette-from-image-url # def palette(img): """ Return palette in descending order of frequency """ arr = np.asarray(img) palette, index = np.unique(asvoid(arr).ravel(), return_inverse=True) palette = palette.view(arr.dtype).reshape(-1, arr.shape[-1]) count = np.bincount(index) order = np.argsort(count) return palette[order[::-1]] def asvoid(arr): """View the array as dtype np.void (bytes) This collapses ND-arrays to 1D-arrays, so you can perform 1D operations on them. http://stackoverflow.com/a/16216866/190597 (Jaime) http://stackoverflow.com/a/16840350/190597 (Jaime) Warning: >>> asvoid([-0.]) == asvoid([0.]) array([False], dtype=bool) """ arr = np.ascontiguousarray(arr) return arr.view(np.dtype((np.void, arr.dtype.itemsize * arr.shape[-1]))) #log in eoAccount=ElectricAccount(REPLACE_ME_USERNAME, REPLACE_ME_PASSWORD) #get device (from a list, assuming the first) eo2=eoAccount.devices[0] #get the current artwork id currentID=eo2.current_artwork_id() currentURL=eo2.current_artwork_preview() extension=splitext(currentURL.split("?")[0])[1] tempFile=join(gettempdir(), uuid4().hex+extension) print('downloading artwork to '+tempFile) urlretrieve(currentURL, tempFile) img = Image.open(tempFile, 'r').convert('HSV') palette=palette(img) print('found palette with '+str(len(palette))+' colors') #filter found colors based on saturation so we're only getting colors, not white/blacks colorsDesired=10 saturationThreshold=25 luminanceThreshold=50 hueMinDiff=40 filteredPalette=[] storedHues=[] for color in palette: hue=color[0] sat=color[1] val=color[2] if sat>saturationThreshold and val>luminanceThreshold: #also include minimum hue difference check (so we dont end up with a palette of all one color) diffEnough=True for value in storedHues: if hue<=(value+hueMinDiff) and hue>=(value-hueMinDiff): diffEnough=False break if diffEnough: filteredPalette.append(color) storedHues.append(color[0]) if len(filteredPalette)>=colorsDesired: break print('filtered palette to '+str(len(filteredPalette))+' colors') print(filteredPalette) #make effect for nanoleaf for color in filteredPalette: effect_data['palette'].append({'hue':int(color[0]/256)*360), 'saturation':int((color[1]/256)*100), 'brightness':int((color[2]/256)*100)}) effect_name="EO2"#_"+str(currentID) effect_data["animName"]=effect_name #connect to nanoleaf and display effect nano=Nanoleaf(nanoleafIP, nanoleafAuthToken) nano.set_color(WHITE) #response=requests.put(nano.url+"/effects", data = json.dumps({"command":"delete","animName":"EO2"})) #pprint(response.text) pprint(effect_data) nano.write_effect(effect_data) nano.set_effect(effect_name)