i finished week_21

services/aiService.js

@@ -77,39 +77,107 @@ export async function generateTaskWithAI(prompt) {
   // 1. Check if the OpenAI API key is configured in environment variables
   //    - Use process.env.OPENAI_API_KEY
   //    - Throw an error if not configured
-  //
+  try {
+    if (!process.env.OPENAI_API_KEY) {
+      throw new Error(
+        "Error: The OPENAI_API_KEY environment variable is not configured. Please set it before running the application."
+      );
+    }
+     console.log(
+      "Success: OPENAI_API_KEY is configured. Your application can now proceed."
+    );
+
   // 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 task management assistant. Your job is to help users create tasks with subtasks.
+    Please follow these guidelines:
+    - Create a task with a title and description.
+    - Include subtasks with titles and descriptions.
+    - Respond in JSON format.
+    {
+      "title": "Task Title",
+      "description": "Task Description",
+      "subtasks": [
+        {
+          "title": "Subtask 1 Title",
+          "description": "Subtask 1 Description"
+        },
+        {
+          "title": "Subtask 2 Title",
+          "description": "Subtask 2 Description"
+        }
+      ]
+    }
+      guidelines:
+- The task should be short and clear.
+- Subtasks must be specific, actionable, and ordered logically.
+- Avoid vague terms like "do research" — instead be precise, e.g., "search online for top 5 tools."
+`;
+
   //
   // 3. Create a user prompt that includes the user's task description
   //    - Use the 'prompt' parameter passed to this function
+
+  const userPrompt = `${prompt}`
+
+  // function createUserPrompt(userTask) {
+  //   return `Please create a task list based on the following description: "${userTask}"`;
+  // }
   //
   // 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",
+    messages: [
+      {role: "system", content: systemPrompt},
+      {role:"user", content: userPrompt}
+    ],
+    temperature: 0.7,
+    max_tokens: 1000,
+  });   
+
+
   //
   // 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(
+      "API response content is missing or in an unexpected format."
+    );
+  }
+
   // 6. Use the extractTaskFromAIResponse function to parse and validate the response
   //    - This function is already implemented for you
   //    - Pass the responseContent to it
-  //
+
+
+  const taskList = extractTaskFromAIResponse(responseContent);
+
+  // console.log("Parsed task list:", taskList);
   // 7. Return the parsed task data
+
+  return taskList;
+
   //
   // 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"
-  );
+    //    - Throw meaningful error messages
+    //
+  } catch (error) {
+    throw new Error(
+      "TODO: Complete the generateTaskWithAI function - see instructions above"
+    );
+  }
 }