Premium -> basic, send raw menu if AI fails.

README.md

@@ -5,7 +5,7 @@ Fetches lunch menu from Origo restaurant and asks descriptions and recommendatio
 
 ## Code and CI/CD
 
-Github: https://github.com/Vincit/lunch-assistant. All pushes to `main` branch will trigger GitHub Actions Workflow, which deploys app to Azure Function `lunch-premium`.
+Github: https://github.com/Vincit/lunch-assistant. All pushes to `main` branch will trigger GitHub Actions Workflow, which deploys app to Azure Function `lunch-basic`.
 
 ## Prerequisites
 
@@ -36,10 +36,10 @@ You have to have permissions to Vincit Azure OpenAI Playground.
 
 ## Scheduling
 
-Workdays at 10:30 am.
+Workdays at 10:30 am. Currently not taking daylight saving time into account, so need to update twice a year or find out how to detect DST.
 
 ## Hosting
 
-As Azure Function App called `lunch-premium`. We had to use Premium plan to make integration to OpenAI Playground working.
+As Azure Function App called `lunch-basic`. It is running in Basic App Service Plan. Cheaper consumption plan does not allow VNET, which in turn is needed for OpenAI access.
 
 Manual trigger by HTTP GET: http://lunch-premium.azurewebsites.net/api/slack

src/index.ts

@@ -21,7 +21,7 @@ export async function helloLunchChannelInternal() {
 
   const prompt = 
     `Kuvaile näitä ruokalajeja lyhyesti mutta hauskasti ja anna suositus mitä syödä. Lisää viestiin ruokalajia kuvaava emoji. ${currentDayDishes} Tähän loppuun hauskasti sanottuna pyyntö reagoida emojilla, jos olet tulossa mukaan syömään!`;
-  const completion = await queryOpenAI(openAiUrl, prompt);
+  const completion = await queryOpenAI(openAiUrl, prompt, currentDayDishes);
 
   postToSlack(slackUrl, currentDayDishes, completion);
   return { body: 'Slakkiä spämmätty!' };

src/lib.ts

@@ -35,7 +35,7 @@ export const postToSlack = async (slackUrl: string, headline: string, message: s
   }
 };
 
-export const queryOpenAI = async (url: string, prompt: string): Promise<string> => {
+export const queryOpenAI = async (url: string, prompt: string, rawData: string): Promise<string> => {
   try {
     const payload = {
       "messages": [{
@@ -61,7 +61,7 @@ export const queryOpenAI = async (url: string, prompt: string): Promise<string>
   } catch (error: any) {
     console.log('Error in OpenAI integration!');
     console.log(error.message);
-    return '';
+    return 'Valitettavasti Azure OpenAI ei vastaa, mutta tässä lounaslista sellaisenaan: ' + rawData;
   }
 }
 

src/openai.ts

@@ -3,7 +3,7 @@ import { queryOpenAI } from "./lib";
 const url = process.env.OPENAI_API_URL || '';
 const prompt = process.argv[2] ?? 'Say this is a test';
 
-queryOpenAI(url, prompt).then((completion) => {
+queryOpenAI(url, prompt, 'Test').then((completion) => {
     if (completion) {
         console.log('OpenAI response:');
         console.log(completion);