fix: maybe this will finally work

.github/workflows/gen-embeddings.yml

@@ -1,4 +1,4 @@
-name: Generate Embeddings
+name: Call Generate Embeddings Edge Function
 
 on:
   push:
@@ -7,20 +7,16 @@ on:
   workflow_dispatch:
 
 jobs:
-  generate_embeddings:
+  call:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v3
+      - name: Checkout code
+        uses: actions/checkout@v2
 
-      - uses: actions/setup-node@v2
+      - name: Call Edge Function
+        uses: actions/setup-node@v2
         with:
-          node-version: 14
-
-      - run: npm install
-
-      - run: npm install -g typescript
-
-      - run: tsc -p . # Transpile TypeScript files
-
-      - run: node lib/generate-embeddings.js # Generate embeddings
+          node-version: "14"
+      - run: npm install @supabase/supabase-js
+      - run: node call-edge-function.js

lib/generate-embeddings.ts

@@ -1,32 +1,15 @@
-import { Configuration, OpenAIApi } from "openai";
-import { supabaseClient } from "./supabase-client";
+import supabaseClient from "./supabase-client.ts";
 
-async function generateEmbeddings() {
-  const configuration = new Configuration({ apiKey: process.env.OPEN_AI_KEY! });
-  const openAi = new OpenAIApi(configuration);
+async function callEdgeFunction() {
+  const { data, error } = await supabase.functions.invoke("create-embeddings", {
+    body: { name: "Functions" },
+  });
 
-  const documents = [
-    "I love long walks on the beach",
-    "I love ice cream, especially vanilla ice cream",
-    "In my free time I like to rock climb, the highest grade I can do is around a V5, I'm still learning!",
-  ];
-
-  // Assuming each document is a string
-  for (const document of documents) {
-    // OpenAI recommends replacing newlines with spaces for best results
-    const input = document.replace(/\n/g, " ");
-
-    const embeddingResponse = await openAi.createEmbedding({
-      model: "text-embedding-ada-002",
-      input,
-    });
-
-    const [{ embedding }] = embeddingResponse.data.data;
-
-    // In production we should handle possible errors
-    await supabaseClient.from("documents").insert({
-      content: document,
-      embedding,
-    });
+  if (error) {
+    console.error(error);
+  } else {
+    console.log(data);
   }
 }
+
+callEdgeFunction();

supabase/functions/create-embeddings/index.ts

@@ -0,0 +1,47 @@
+import { serve } from "https://deno.land/[email protected]/http/server.ts";
+import "https://deno.land/x/[email protected]/mod.ts";
+import { createClient } from "https://esm.sh/@supabase/[email protected]";
+import { Configuration, OpenAIApi } from "https://esm.sh/[email protected]";
+import { supabaseClient } from "https://esm.sh/@supabase/supabase-js@2";
+
+export const corsHeaders = {
+  "Access-Control-Allow-Origin": "*",
+  "Access-Control-Allow-Headers":
+    "authorization, x-client-info, apikey, content-type",
+};
+
+serve(async (req) => {
+  // Handle CORS
+  if (req.method === "OPTIONS") {
+    return new Response("ok", { headers: corsHeaders });
+  }
+
+  const configuration = new Configuration({ apiKey: process.env.OPEN_AI_KEY! });
+  const openAi = new OpenAIApi(configuration);
+
+  const documents = [
+    "I love long walks on the beach",
+    "I love ice cream, especially vanilla ice cream",
+    "In my free time I like to rock climb, the highest grade I can do is around a V5, I'm still learning!",
+    "I'm currently lost in the Arctic Circle, send help!",
+  ];
+
+  // Assuming each document is a string
+  for (const document of documents) {
+    // OpenAI recommends replacing newlines with spaces for best results
+    const input = document.replace(/\n/g, " ");
+
+    const embeddingResponse = await openAi.createEmbedding({
+      model: "text-embedding-ada-002",
+      input,
+    });
+
+    const [{ embedding }] = embeddingResponse.data.data;
+
+    // In production we should handle possible errors
+    await supabaseClient.from("documents").insert({
+      content: document,
+      embedding,
+    });
+  }
+});