feat: add QuestionService
Made-with: Cursor
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197
src/services/questions/question.service.ts
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197
src/services/questions/question.service.ts
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import { eq, and, sql, asc, inArray } from 'drizzle-orm';
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import type { NodePgDatabase } from 'drizzle-orm/node-postgres';
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import type * as schema from '../../db/schema/index.js';
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import {
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questionBank,
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questionCacheMeta,
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userQuestionLog,
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} from '../../db/schema/index.js';
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import { internalError, AppError, ERROR_CODES } from '../../utils/errors.js';
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import type { Stack, Level, QuestionType } from '../../db/schema/enums.js';
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import type {
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GeneratedQuestion,
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GenerateQuestionsResult,
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} from '../llm/llm.service.js';
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type Db = NodePgDatabase<typeof schema>;
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export type QuestionForTest = {
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questionBankId: string;
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type: QuestionType;
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questionText: string;
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options: Array<{ key: string; text: string }> | null;
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correctAnswer: string | string[];
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explanation: string;
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};
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export interface LlmServiceInterface {
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generateQuestions(input: {
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stack: Stack;
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level: Level;
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count: number;
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types?: QuestionType[];
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}): Promise<GenerateQuestionsResult>;
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}
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function shuffle<T>(arr: T[]): T[] {
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const result = [...arr];
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for (let i = result.length - 1; i > 0; i--) {
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const j = Math.floor(Math.random() * (i + 1));
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[result[i], result[j]] = [result[j]!, result[i]!];
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}
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return result;
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}
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export class QuestionService {
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constructor(
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private readonly db: Db,
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private readonly llmService: LlmServiceInterface
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) {}
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/**
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* Get questions for a test. Fetches approved questions from question_bank.
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* If not enough, generates via LLM, persists to question_bank and question_cache_meta.
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*/
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async getQuestionsForTest(
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userId: string,
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stack: Stack,
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level: Level,
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count: number
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): Promise<QuestionForTest[]> {
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const approved = await this.db
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.select({
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id: questionBank.id,
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type: questionBank.type,
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questionText: questionBank.questionText,
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options: questionBank.options,
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correctAnswer: questionBank.correctAnswer,
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explanation: questionBank.explanation,
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})
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.from(questionBank)
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.where(
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and(eq(questionBank.stack, stack), eq(questionBank.level, level), eq(questionBank.status, 'approved'))
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)
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.orderBy(asc(questionBank.usageCount));
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const seenIds = await this.db
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.select({ questionBankId: userQuestionLog.questionBankId })
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.from(userQuestionLog)
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.where(eq(userQuestionLog.userId, userId));
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const seenSet = new Set(seenIds.map((r) => r.questionBankId));
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const preferred = approved.filter((q) => !seenSet.has(q.id));
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const pool = preferred.length >= count ? preferred : approved;
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const shuffled = shuffle(pool);
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const fromBank: QuestionForTest[] = shuffled.slice(0, count).map((q) => ({
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questionBankId: q.id,
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type: q.type,
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questionText: q.questionText,
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options: q.options,
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correctAnswer: q.correctAnswer,
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explanation: q.explanation,
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}));
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let result = fromBank;
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if (result.length < count) {
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const generated = await this.generateAndPersistQuestions(
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stack,
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level,
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count - result.length
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);
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result = [...result, ...generated];
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}
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if (result.length < count) {
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throw new AppError(
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ERROR_CODES.QUESTIONS_UNAVAILABLE,
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'Not enough questions available for this stack and level',
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422
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);
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}
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if (result.length > 0) {
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await this.db.insert(userQuestionLog).values(
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result.map((q) => ({
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userId,
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questionBankId: q.questionBankId,
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}))
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);
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const ids = result.map((q) => q.questionBankId);
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await this.db
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.update(questionBank)
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.set({
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usageCount: sql`${questionBank.usageCount} + 1`,
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})
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.where(inArray(questionBank.id, ids));
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}
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return result;
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}
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private async generateAndPersistQuestions(
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stack: Stack,
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level: Level,
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count: number
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): Promise<QuestionForTest[]> {
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let generated: GeneratedQuestion[];
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let meta: GenerateQuestionsResult['meta'];
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try {
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const result = await this.llmService.generateQuestions({
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stack,
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level,
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count,
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});
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generated = result.questions;
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meta = result.meta;
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} catch (err) {
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throw internalError(
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'Failed to generate questions',
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err instanceof Error ? err : undefined
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);
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}
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const inserted: QuestionForTest[] = [];
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for (const q of generated) {
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const [row] = await this.db
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.insert(questionBank)
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.values({
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stack,
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level,
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type: q.type as QuestionType,
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questionText: q.questionText,
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options: q.options ?? null,
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correctAnswer: q.correctAnswer,
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explanation: q.explanation,
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status: 'approved',
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source: 'llm_generated',
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})
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.returning();
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if (row) {
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await this.db.insert(questionCacheMeta).values({
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questionBankId: row.id,
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llmModel: meta.llmModel,
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promptHash: meta.promptHash,
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generationTimeMs: meta.generationTimeMs,
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rawResponse: meta.rawResponse,
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});
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inserted.push({
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questionBankId: row.id,
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type: row.type,
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questionText: row.questionText,
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options: row.options,
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correctAnswer: row.correctAnswer,
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explanation: row.explanation,
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});
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}
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}
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return inserted;
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}
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}
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