done with nl

CleverHug-Frontend/src/pages/Affirmation.tsx

@@ -1,5 +1,5 @@
 import { useState } from "react";
-import { rruleToCron } from "../utils/rrule";
+import { rruleToCron, textToCron, cronToText } from "../utils/rrule";
 import Loading from "../components/UI/Loading";
 
 const SERVER_URL = process.env.REACT_APP_SERVER_URL;
@@ -18,21 +18,25 @@ function Affirmation() {
 	const handleSubmit = async (e: any) => {
 		e.preventDefault();
 		setLoading(true);
-		const response = await fetch(`${SERVER_URL}/scheduler/process-time`, {
-			method: "POST",
-			headers: {
-				"Content-Type": "application/json",
-				Authorization: `Bearer ${localStorage.getItem("token")}`
-			},
-			body: JSON.stringify({ time })
-		});
-		const data = await response.json();
-		if (!response.ok) {
-			setError(data.error);
-			setLoading(false);
-			return;
-		}
-		rruleToCron(data.rrule).then(cron => setCron(cron));
+		// const response = await fetch(`${SERVER_URL}/scheduler/process-time`, {
+		// 	method: "POST",
+		// 	headers: {
+		// 		"Content-Type": "application/json",
+		// 		Authorization: `Bearer ${localStorage.getItem("token")}`
+		// 	},
+		// 	body: JSON.stringify({ time })
+		// });
+		// const data = await response.json();
+		// if (!response.ok) {
+		// 	setError(data.error);
+		// 	setLoading(false);
+		// 	return;
+		// }
+		const cron = await textToCron(time);
+		const text = await cronToText(cron);
+		const data = { result: text, type: "recurring" };
+		// const cronResp = await rruleToCron(data.result);
+		setCron(cron);
 		setProcessedTime(data);
 		setLoading(false);
 		setShowConfirmation(true);
@@ -189,7 +193,7 @@ function Affirmation() {
 						</div>
 					</strong>
 					<br />
-					{rruleToText(processedTime)}
+					{processedTime && processedTime.result}
 				</p>
 				<p>
 					<strong className="bg-gray-900">Please Confirm the CRON:</strong>

CleverHug-Frontend/src/utils/rrule.ts

@@ -9,19 +9,51 @@ const chatModel = new ChatOllama({
 });
 
 const chatModelOpenAI = new ChatOpenAI({
-	openAIApiKey: "sk-pratyush-LfIF12ZpdW3pL1E76jxyT3BlbkFJYYO9FgxQ8AaorKDbMLvQ",
+	openAIApiKey: process.env.REACT_APP_OPENAI_API_KEY,
 	temperature: 0.9,
-	apiKey: "sk-pratyush-LfIF12ZpdW3pL1E76jxyT3BlbkFJYYO9FgxQ8AaorKDbMLvQ",
+	apiKey: process.env.REACT_APP_OPENAI_API_KEY,
 	model: "gpt-3.5-turbo",
 	cache: true
 });
 
+export const cronToText = async (cron: string): Promise<string> => {
+	console.log(`Converting CRON string ${cron} to text.`);
+	try {
+		const openai_response = await chatModelOpenAI.invoke(
+			`I want to schedule multiple events based on the provided CRON string: "${cron}". Could you please convert this CRON string to a text schedule? Please encaspulate the text in a code block.`
+		);
+		const response = openai_response.content as string;
+		const cronString = response.split("```")[1];
+		return cronString;
+	} catch (error) {
+		console.error(error);
+		return `Error converting CRON string ${cron} to text: ${error}`;
+	}
+};
+
+export const textToCron = async (text: string): Promise<string> => {
+	console.log(`Converting text ${text} to CRON string.`);
+	try {
+		const openai_response = await chatModelOpenAI.invoke(
+			`I want to schedule multiple events based on the provided repeating schedule: "${text}". Could you please convert this text to a CRON string? Please encaspulate the CRON string in a code block.`
+		);
+		const response = openai_response.content as string;
+		const cronString = response.split("```")[1];
+		return cronString;
+	} catch (error) {
+		console.error(error);
+		return `Error converting text ${text} to CRON string: ${error}`;
+	}
+};
+
 export const rruleToCron = async (rruleStr: string): Promise<string> => {
-	const openai_response = await chatModel.invoke(
-		`Please convert the RRule string ${rruleStr} to CRON string. Please output the cron string in double quotes.`
-	);
-	const response = openai_response.content as string;
-	const startIndex = response.indexOf('"');
-	const endIndex = response.lastIndexOf('"');
-	return response.slice(startIndex + 1, endIndex);
+	console.log(`Converting RRule string ${rruleStr} to CRON string.`);
+	try {
+		const openai_response = await chatModelOpenAI.invoke(`Could you please translate the RRule string "${rruleStr}" to a CRON string?`);
+		const response = openai_response.content as string;
+		return response;
+	} catch (error) {
+		console.error(error);
+		return `Error converting RRule string ${rruleStr} to CRON string: ${error}`;
+	}
 };