90 keywords word count restriction (#96)

* feat: enhance summarizeGroupOpinions to return keyword importance and update prompt for clarity

* fix: update prompt guidelines for clarity and student engagement

* feat: enhance chatWithLLMByDocs to track subtask completion and update prompt guidelines

* feat: update summarizeGroupOpinions to return keyword strength and modify chatWithLLMByDocs to track subtask completion

src/lib/server/llm.ts

@@ -179,6 +179,7 @@ export async function chatWithLLMByDocs(
 	history: LLMChatMessage[],
 	task: string,
 	subtasks: string[],
+	subtaskCompleted: boolean[],
 	resources: Resource[],
 	temperature = 0.7
 ): Promise<{
@@ -202,8 +203,12 @@ export async function chatWithLLMByDocs(
 			})
 			.join('\n\n');
 
+		const formattedSubtasks = subtasks.map((subtask, index) => {
+			return subtaskCompleted[index] ? `(完成)${subtask}` : `(未完成)subtask`;
+		});
+
 		const system_prompt = DOCS_CONTEXT_SYSTEM_PROMPT.replace('{task}', task)
-			.replace('{subtasks}', subtasks.join('\n'))
+			.replace('{subtasks}', formattedSubtasks.join('\n'))
 			.replace('{resources}', formatted_docs);
 
 		const [response, subtask_completed, moderation, off_topic] = await Promise.all([
@@ -394,9 +399,12 @@ export async function summarizeConcepts(
 	}
 }
 
-export async function summarizeGroupOpinions(
-	student_opinion: StudentSpeak[]
-): Promise<{ success: boolean; summary: string; keywords: string[]; error?: string }> {
+export async function summarizeGroupOpinions(student_opinion: StudentSpeak[]): Promise<{
+	success: boolean;
+	summary: string;
+	keywords: Record<string, number>;
+	error?: string;
+}> {
 	try {
 		const formatted_opinions = student_opinion
 			.filter((opinion) => opinion.role !== '摘要小幫手')
@@ -409,7 +417,12 @@ export async function summarizeGroupOpinions(
 		);
 		const summary_group_opinion_schema = z.object({
 			group_summary: z.string(),
-			group_key_points: z.array(z.string())
+			group_keywords: z.array(
+				z.object({
+					keyword: z.string(),
+					strength: z.number()
+				})
+			)
 		});
 
 		const response = await requestZodLLM(system_prompt, summary_group_opinion_schema);
@@ -419,18 +432,22 @@ export async function summarizeGroupOpinions(
 		}
 
 		const message = response.message as z.infer<typeof summary_group_opinion_schema>;
+		const formatted_keywords = message.group_keywords.reduce(
+			(acc, keyword) => ({ ...acc, [keyword.keyword]: keyword.strength }),
+			{} as Record<string, number>
+		);
 
 		return {
 			success: true,
 			summary: message.group_summary,
-			keywords: message.group_key_points
+			keywords: formatted_keywords
 		};
 	} catch (error) {
 		console.error('Error in summarizeGroupOpinions:', error);
 		return {
 			success: false,
 			summary: '',
-			keywords: [],
+			keywords: {},
 			error: 'Failed to summarize group opinions'
 		};
 	}

src/lib/server/prompt.ts

@@ -5,8 +5,11 @@ export const DOCS_CONTEXT_SYSTEM_PROMPT = `
 3. 根據提供的文件引導學生達到次要目標
 4. 確保回答與原始資料保持一致且準確 
 5. 不能直接主觀的給出答案，要引導學生自己思考
-6. 如果學生回答錯誤，要引導學生找到錯誤的原因並修正
-7. 永遠不要否定學生的答案，但不能偏離文件希望達到的目標
+6. 請不要直接說出文件中的內容，或是說你是參考文件的內容
+7. 如果學生回答錯誤，要引導學生找到錯誤的原因並修正
+8. 永遠不要否定學生的答案，但不能偏離文件希望達到的目標
+9. 引導時先以未完成的次要目標為主
+10. 如果次要目標都達成了，請繼續跟學生對話，加深學生對於主要問題的理解
 
 主要問題：
 {task}
@@ -58,6 +61,7 @@ export const CONCEPT_SUMMARY_PROMPT = `
 
 export const GROUP_OPINION_SUMMARY_PROMPT = `
 請總結以下學生們的小組觀點、想法和結論：
+學生的關鍵字請以以單詞的方式提供，並給予每個單詞的在討論中重要度（1-5），數字越大代表詞彙越重要。
 
 {groupOpinions}
 

src/routes/api/session/[id]/group/[group_number]/conversations/+server.ts

@@ -25,7 +25,13 @@ export const GET: RequestHandler = async ({ params, locals }) => {
 		const group_ref = getGroupRef(id, group_number);
 		const group_data = await getGroupData(group_ref);
 
-		const intro = await chatWithLLMByDocs([], task, subtasks, resources);
+		const intro = await chatWithLLMByDocs(
+			[],
+			task,
+			subtasks,
+			new Array(subtasks.length).fill(false),
+			resources
+		);
 		if (!intro) {
 			throw error(500, 'Error generating intro message');
 		}

src/routes/api/session/[id]/group/[group_number]/conversations/[conv_id]/chat/+server.ts

@@ -26,7 +26,7 @@ export const POST: RequestHandler = async ({ request, params, locals }) => {
 			throw error(400, 'Missing parameters');
 		}
 
-		const conversation_ref = await getConversationRef(id, group_number, conv_id);
+		const conversation_ref = getConversationRef(id, group_number, conv_id);
 		console.log('Retrieved conversation reference');
 		const { userId, task, subtasks, resources, history, warning, subtaskCompleted } =
 			await getConversationData(conversation_ref);
@@ -58,6 +58,7 @@ export const POST: RequestHandler = async ({ request, params, locals }) => {
 			[...chat_history, { role: 'user', content: content }],
 			task,
 			subtasks,
+			subtaskCompleted,
 			resources
 		);
 		console.log('Received LLM response', {