finished

middleware/auth.js

@@ -1,7 +1,7 @@
 import jwt from "jsonwebtoken";
 import prisma from "../lib/prisma.js";
 
-const JWT_SECRET = process.env.JWT_SECRET || "your-secret-key";
+const JWT_SECRET = process.env.JWT_SECRET || "week21task";
 
 export const authenticateToken = async (req, res, next) => {
   try {

services/aiService.js

@@ -71,45 +71,83 @@ export function extractTaskFromAIResponse(responseContent) {
  * @returns {Object} Parsed and validated task data
  */
 export async function generateTaskWithAI(prompt) {
-  // TODO: STUDENT TASK - Complete this function to generate tasks using AI
-  //
-  // Instructions:
-  // 1. Check if the OpenAI API key is configured in environment variables
-  //    - Use process.env.OPENAI_API_KEY
-  //    - Throw an error if not configured
-  //
-  // 2. Create a system prompt that tells the AI what to do:
-  //    - Explain that it's a task management assistant
-  //    - Ask it to create a task with subtasks based on the user's description
-  //    - Specify the JSON format it should respond with
-  //    - Include guidelines for creating good tasks and subtasks
-  //
-  // 3. Create a user prompt that includes the user's task description
-  //    - Use the 'prompt' parameter passed to this function
-  //
-  // 4. Call the OpenAI API using the openai client:
-  //    - Use model: "gpt-3.5-turbo"
-  //    - Include both system and user messages
-  //    - Set temperature to 0.7 for balanced creativity
-  //    - Set max_tokens to 1000
-  //
-  // 5. Extract the response content from the API call
-  //    - Access completion.choices[0]?.message?.content
-  //    - Check if response exists, throw error if not
-  //
-  // 6. Use the extractTaskFromAIResponse function to parse and validate the response
-  //    - This function is already implemented for you
-  //    - Pass the responseContent to it
-  //
-  // 7. Return the parsed task data
-  //
-  // 8. Handle errors appropriately
-  //    - Wrap everything in a try-catch block
-  //    - Throw meaningful error messages
-  //
-
-
-  throw new Error(
-    "TODO: Complete the generateTaskWithAI function - see instructions above"
-  );
+  try {
+    // 1. Check if the OpenAI API key is configured in environment variables
+    if (!process.env.OPENAI_API_KEY) {
+      throw new Error("OpenAI API key is not configured");
+    }
+
+    // 2. Create a system prompt that tells the AI what to do:
+    //    - Explain that it's a task management assistant
+    //    - Ask it to create a task with subtasks based on the user's description
+    //    - Specify the JSON format it should respond with
+    //    - Include guidelines for creating good tasks and subtasks
+    const systemPrompt = `
+You are a helpful task management assistant.
+Given a user's task description, generate a task in JSON format with optional subtasks.
+
+Respond ONLY in JSON format like:
+{
+  "title": "Task title",
+  "description": "Detailed description",
+  "status": "pending",         // or "in-progress", "completed"
+  "priority": "medium",        // or "low", "high"
+  "subtasks": [
+    {
+      "title": "Subtask title",
+      "description": "Subtask description",
+      "completed": false
+    }
+  ]
+}
+
+Guidelines:
+- Only return valid JSON (no extra text).
+- Title should be clear and specific.
+- Subtasks should be concrete and actionable.
+- Skip any fields not mentioned above.
+`;
+
+    // 3. Create a user prompt that includes the user's task description
+    //    - Use the 'prompt' parameter passed to this function
+    const userPrompt = `Create a task based on this description: "${prompt}"`;
+
+    // 4. Call the OpenAI API using the openai client:
+    //    - Use model: "gpt-3.5-turbo"
+    //    - Include both system and user messages
+    //    - Set temperature to 0.7 for balanced creativity
+    //    - Set max_tokens to 1000
+    const completion = await openai.chat.completions.create({
+      model: "gpt-3.5-turbo",
+      temperature: 0.7,
+      max_tokens: 1000,
+      messages: [
+        { role: "system", content: systemPrompt },
+        { role: "user", content: userPrompt },
+      ],
+    });
+
+    // 5. Extract the response content from the API call
+    //    - Access completion.choices[0]?.message?.content
+    //    - Check if response exists, throw error if not
+    const responseContent = completion.choices[0]?.message?.content;
+    if (!responseContent) {
+      throw new Error("No response received from OpenAI");
+    }
+
+    // 6. Use the extractTaskFromAIResponse function to parse and validate the response
+    //    - This function is already implemented for you
+    //    - Pass the responseContent to it
+    const taskData = extractTaskFromAIResponse(responseContent);
+
+    // 7. Return the parsed task data
+    return taskData;
+
+  } catch (error) {
+    // 8. Handle errors appropriately
+    //    - Wrap everything in a try-catch block
+    //    - Throw meaningful error messages
+    throw new Error(`Failed to generate task with AI: ${error.message}`);
+  }
 }
+