jurmy24's picture
refactor: rename URDF to Urdf
6bc7874

Supabase Edge Functions

This directory contains Edge Functions that can be deployed to Supabase.

Available Functions

  • urdf-parser: Extracts metadata from Urdf files using OpenAI
  • create-animation: Generates animations for Urdf models based on user instructions

Deployment Instructions

Prerequisites

  1. Install Supabase CLI:

    npm install -g supabase
    
  2. Login to Supabase:

    npx supabase login
    
  3. Set your Supabase project ID:

    npx supabase link --project-ref mizajlqhooderueazvnp
    

Deploy a Function

To deploy a function, run:

node deploy-function.js urdf-parser

Or use the Supabase CLI directly:

npx supabase functions deploy urdf-parser

Environment Variables

The edge functions require environment variables to be set in your Supabase project:

  1. OPENAI_API_KEY: Your OpenAI API key for the AI functionality

To set these variables, use:

npx supabase secrets set OPENAI_API_KEY=your-api-key

Testing Deployed Functions

After deployment, you can test your function with:

curl -X POST 'https://mizajlqhooderueazvnp.supabase.co/functions/v1/urdf-parser' \
  -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Im1pemFqbHFob29kZXJ1ZWF6dm5wIiwicm9sZSI6ImFub24iLCJpYXQiOjE3NDE4NzU1MTgsImV4cCI6MjA1NzQ1MTUxOH0.iTbP3KqPr4Fl48YQnlwplyPF3OCTjU5g62WmmygjSbA' \
  -H 'Content-Type: application/json' \
  --data '{"urdfContent":"<robot name=\"test\">...</robot>"}'