Set Todoist Label Colors Automatically Using OpenAI Embeddings

By Robert Ellison.

From the department of things I wouldn't have bothered with a year ago, here's a python script to set Todoist label colors.

Why? I like a productivity environment with some color and flare, and it also helps to visually recognize what a task relates to. But setting label colors is more clicks than I have patience for.

How? Just figure out embeddings for each available color and then for each label. Use cosine similarity to set the color that best suits each label. Colors will stay consistent for existing labels and new ones will get just a dash of semantic meaning in their assignments.

Here's the code (you need an OpenAI API key and a Todoist API token set as environment variables):

import os from todoist_api_python.api import TodoistAPI from openai import OpenAI import numpy as np # Todoist palette colors from https://developer.todoist.com/api/v1#tag/Colors colors = [ {"id": 30, "name": "berry_red", "hex": "#B8255F"}, {"id": 31, "name": "red", "hex": "#DC4C3E"}, {"id": 32, "name": "orange", "hex": "#C77100"}, {"id": 33, "name": "yellow", "hex": "#B29104"}, {"id": 34, "name": "olive_green", "hex": "#949C31"}, {"id": 35, "name": "lime_green", "hex": "#65A33A"}, {"id": 36, "name": "green", "hex": "#369307"}, {"id": 37, "name": "mint_green", "hex": "#42A393"}, {"id": 38, "name": "teal", "hex": "#148FAD"}, {"id": 39, "name": "sky_blue", "hex": "#319DC0"}, {"id": 40, "name": "light_blue", "hex": "#6988A4"}, {"id": 41, "name": "blue", "hex": "#4180FF"}, {"id": 42, "name": "grape", "hex": "#692EC2"}, {"id": 43, "name": "violet", "hex": "#CA3FEE"}, {"id": 44, "name": "lavender", "hex": "#A4698C"}, {"id": 45, "name": "magenta", "hex": "#E05095"}, {"id": 46, "name": "salmon", "hex": "#C9766F"}, #{"id": 47, "name": "charcoal", "hex": "#808080"}, #{"id": 48, "name": "grey", "hex": "#999999"}, {"id": 49, "name": "taupe", "hex": "#8F7A69"}, ] # OpenAI Client oai = OpenAI() # Embedding helper def get_embedding(text): # Replace underscores and hyphens with spaces formatted_text = text.replace('_', ' ').replace('-', ' ') response = oai.embeddings.create( input=formatted_text, model="text-embedding-3-small" ) return response.data[0].embedding # Add embeddings to each color in the colors list print("Generating embeddings for colors...") for color in colors: color["embedding"] = get_embedding(color["name"]) # Get API token from environment variable for security # You need to set this environment variable with your Todoist API token api_token = os.environ.get("TODOIST_API_TOKEN") if not api_token: print("Error: TODOIST_API_TOKEN environment variable not set") exit(1) # Initialize the Todoist API client api = TodoistAPI(api_token) try: # Get all labels labels = api.get_labels() for label_iter in labels: for label in label_iter: embedding = get_embedding(label.name) # Fix the calculation of similarities - create a proper comparison array color_embeddings = np.array([color["embedding"] for color in colors]) # Calculate similarities correctly - each embedding is a 1536-dim vector similarities = np.array([np.dot(embedding, color_embedding) / (np.linalg.norm(embedding) * np.linalg.norm(color_embedding)) for color_embedding in color_embeddings]) # Find the color with the highest similarity max_index = np.argmax(similarities) new_color = colors[max_index]["name"] print(f"Setting {label.name} to {new_color}") api.update_label( label_id=label.id, color=new_color ) except Exception as error: print(f"Error: {error}")

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(Published to the Fediverse as: Set Todoist Label Colors Automatically Using OpenAI Embeddings #code #python #openai #todoist #ai Python code that uses OpenAI embeddings to set Todoist task labels to a semantically meaningful color. )

code, python, openai, todoist, ai