Tasks for Week_21

services/aiService.js

@@ -71,45 +71,87 @@ 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
-  //
-
+  try {
+    // 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
+    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 = `Create a detailed task management for the following requirements:    
+    Follow these instruction below:
+    1. Read the user input carefully and identify the main task.
+    2. create a main tasks with subtasks based on user's description.
+    3. JSON format output look like this:
+    {
+    "task": "Main task description",
+    "subtasks": [
+    {
+      "id": 1,
+      "title": "subtask description",
+      "status": "pending"
+  }
+      ]
+  }
+      Please generate a main task and clear, actionable subtasks following the required JSON format`;
+    //
+    // 3. Create a user prompt that includes the user's task description
+    //    - Use the 'prompt' parameter passed to this function
+        const { userPrompt} = prompt;
 
-  throw new Error(
-    "TODO: Complete the generateTaskWithAI function - see instructions above"
-  );
+    //
+    // 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", // Using GPT-3.5 for good balance of quality and speed
+      messages: [
+        {
+          role: "system",
+          content: systemPrompt
+          },
+        {
+          role: "user",
+          content: userPrompt,
+        },
+      ],
+      max_tokens: 1000, // Limit response length to avoid excessive costs
+      temperature: 0.7, // Balance between creativity and consistency
+    })
+    //
+    // 5. Extract the response content from the API call
+    //    - Access completion.choices[0]?.message?.content
+    const responseContent = completion.choices[0]?.message?.content
+    //    - Check if response exists, throw error if not
+    if (!responseContent){
+      throw new Error ("OpenAI not response")
+    }
+    //
+    // 6. Use the extractTaskFromAIResponse function to parse and validate the response
+    //    - This function is already implemented for you
+    //    - Pass the responseContent to it
+    const tasksData = extractTaskFromAIResponse (responseContent)
+    //
+    // 7. Return the parsed task data
+    return tasksData
+    //
+    // 8. Handle errors appropriately
+    //    - Wrap everything in a try-catch block
+    //    - Throw meaningful error messages
+    //
+  } catch (error) {
+    throw new Error( `OpenAI not generated tasks: ${error.message}`);
+  }
+
 }