746 lines
28 KiB
JavaScript
746 lines
28 KiB
JavaScript
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'use strict';
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const Service = require('egg').Service;
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const path = require('path');
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const fs = require('fs');
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const crypto = require('crypto');
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/**
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* 考试服务 - ExamService
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*
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* 封装考试相关业务逻辑,包括题目随机获取、答案校验、自动判分、
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* 比赛状态检查、答题记录保存等功能。
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*/
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class ExamService extends Service {
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/**
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* 根据用户的 id_number 获取聚合报名信息
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* @param {string} idNumber - 身份证号
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* @returns {Promise<Object|null>} 聚合报名记录
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*/
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async getUserAggregation(idNumber) {
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const { ctx } = this;
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// 先通过 id_number 找到 Account,再通过 Account.uid 找到 Aggregation
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const account = await ctx.model.Account.findOne({
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where: { id_number: idNumber },
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attributes: ['uid'],
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});
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if (!account) return null;
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return await ctx.model.Aggregation.findOne({
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where: { account_uid: account.uid },
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include: [
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{ model: ctx.model.Team, as: 'team', attributes: ['team_uid', 'group_name', 'team_id', 'team_number'] },
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],
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});
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}
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/**
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* 根据题型获取对应的模型
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* @param {string} questionType - 题型:choice / judge / word
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* @returns {Object} Sequelize 模型
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*/
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_getQuestionModel(questionType) {
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const { ctx } = this;
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switch (questionType) {
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case 'choice': return ctx.model.ChoiceQuestion;
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case 'judge': return ctx.model.JudgeQuestion;
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case 'word': return ctx.model.WordQuestion;
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default: throw new Error(`未知题型: ${questionType}`);
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}
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}
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/**
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* 从可能带题型前缀的 question_uid 中提取原始自增 id。
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* 兼容三种形态:
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* - 'choice_12' / 'judge_3'(新:题型前缀,保证跨题型全局唯一)
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* - '12'(旧:纯数字字符串)
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* - 12(number)
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* @param {string|number} uid
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* @returns {string|number} 原始自增 id
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*/
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_extractRawId(uid) {
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if (uid === undefined || uid === null) return uid;
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const s = String(uid);
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const idx = s.lastIndexOf('_');
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if (idx >= 0) {
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const tail = s.slice(idx + 1);
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return /^\d+$/.test(tail) ? tail : s;
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}
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return s;
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}
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/**
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* 随机获取指定组别的题目(选择题 + 判断题,按各自数量抽取)
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* @param {string} group - 组别:zhongzhi / gaozhi
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* @param {Object} options - 抽题数量配置
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* @param {number} options.choiceCount - 选择题数量,默认 50
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* @param {number} options.judgeCount - 判断题数量,默认 20
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* @returns {Promise<Array>} 题目列表(不含 answer 字段),顺序:选择题在前、判断题在后
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*/
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async getRandomQuestions(group, options = {}) {
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const { ctx } = this;
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// 严格按题型数量分别抽取,确保分布符合「50 道选择题 + 20 道判断题」的赛制要求,
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// 而不是把单个总数对半切(否则会变成 35+35 等错误分布)。
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const choiceCount = options.choiceCount != null ? options.choiceCount : 50;
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const judgeCount = options.judgeCount != null ? options.judgeCount : 20;
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const [choiceQuestions, judgeQuestions] = await Promise.all([
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ctx.model.ChoiceQuestion.findAll({
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where: { group },
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order: ctx.model.Sequelize.literal('RAND()'),
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limit: choiceCount,
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attributes: { exclude: ['answer'] },
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raw: true,
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}),
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ctx.model.JudgeQuestion.findAll({
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where: { group },
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order: ctx.model.Sequelize.literal('RAND()'),
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limit: judgeCount,
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attributes: { exclude: ['answer'] },
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raw: true,
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}),
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]);
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// 合并并标记题型,并规范化输出字段
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// 顺序约定:选择题全部在前、判断题全部在后(各自内部仍由 RAND() 随机),
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// 前端按全局索引编号,选择题 1~N、判断题 N+1~M,Word 综合题接续 M+1,题号严格连续。
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const questions = [
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...choiceQuestions.map(q => normalizeQuestion(q, 'choice')),
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...judgeQuestions.map(q => normalizeQuestion(q, 'judge')),
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];
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return questions;
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}
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/**
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* 按指定的题目 UID 顺序取题(不随机),用于「重进复用同一套题目与顺序」。
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* @param {string} group - 组别
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* @param {Array<string>} questionUids - 固化顺序的 question_uid 数组,如 ['choice_12','judge_3',...]
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* @returns {Promise<Array>} 严格按 questionUids 顺序的题目列表(缺失题目自动跳过)
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*/
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async getQuestionsByFixedOrder(group, questionUids) {
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const { ctx } = this;
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const buckets = { choice: [], judge: [] };
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for (const uid of (questionUids || [])) {
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const s = String(uid);
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const idx = s.lastIndexOf('_');
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if (idx < 0) continue;
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const type = s.slice(0, idx);
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const rawId = s.slice(idx + 1);
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if ((type === 'choice' || type === 'judge') && /^\d+$/.test(rawId)) {
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buckets[type].push(parseInt(rawId, 10));
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}
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}
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const out = [];
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for (const type of ['choice', 'judge']) {
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const ids = buckets[type];
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if (!ids.length) continue;
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const Model = type === 'choice' ? ctx.model.ChoiceQuestion : ctx.model.JudgeQuestion;
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const rows = await Model.findAll({
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where: { id: { [ctx.model.Sequelize.Op.in]: ids }, group },
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attributes: { exclude: ['answer'] },
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raw: true,
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});
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const map = new Map(rows.map(r => [r.id, r]));
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for (const id of ids) {
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const r = map.get(id);
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if (r) out.push(normalizeQuestion(r, type));
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}
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}
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return out;
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}
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/**
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* 获取/固化该考生的题目顺序:首次进入随机生成并持久化到 exam_submissions.question_order;
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* 之后重进(或已提交后重进)一律复用同一顺序,彻底消除「重进题目顺序变乱」缺陷。
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* 兼容历史已提交但无 question_order 的记录:从其 answers 推导顺序(答案顺序即作答顺序)。
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* @param {number} aggregationUid - 聚合报名 ID(exam_submissions 以它为 contestant_id 存储)
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* @param {string} group - 组别
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* @param {Object} options - 抽题数量配置 { choiceCount, judgeCount }
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* @returns {Promise<{questions: Array, questionUids: Array<string>}>}
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*/
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async getAssignedQuestions(aggregationUid, group, options = {}) {
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const { ctx } = this;
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// 确保该考生有一条记录(占位,submit_time 保持 null,不影响 hasSubmitted 判定)。
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const row = await this._ensureExamSubmissionSafe(aggregationUid, {
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contestant_id: aggregationUid,
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answers: [],
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submit_time: null,
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});
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// 1) 已固化顺序 → 直接复用
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const saved = this._readQuestionOrder(row);
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if (saved && saved.length) {
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return {
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questions: await this.getQuestionsByFixedOrder(group, saved),
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questionUids: saved,
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};
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}
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// 2) 历史已提交但无固化顺序:从 answers 推导(答案顺序即作答顺序)
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const savedAnswers = row.answers;
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if (Array.isArray(savedAnswers) && savedAnswers.length) {
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const derived = savedAnswers
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.map(a => a.question_uid || (a.question_type && a.question_id ? `${a.question_type}_${a.question_id}` : null))
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.filter(Boolean);
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if (derived.length) {
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await row.update({ question_order: JSON.stringify(derived) });
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return {
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questions: await this.getQuestionsByFixedOrder(group, derived),
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questionUids: derived,
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};
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}
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}
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// 3) 首次进入:随机生成并持久化(同一考生只发生一次)
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const questions = await this.getRandomQuestions(group, options);
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const uids = questions.map(q => q.question_uid);
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await row.update({ question_order: JSON.stringify(uids) });
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return { questions, questionUids: uids };
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}
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/**
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* 从 exam_submissions 记录中安全读取 question_order(JSON 字符串/对象 → 数组)
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* @param {Object} row - 记录实例或原始对象
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* @returns {Array<string>|null}
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*/
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_readQuestionOrder(row) {
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if (!row) return null;
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const v = row.question_order;
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if (!v) return null;
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try {
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const a = typeof v === 'string' ? JSON.parse(v) : v;
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return Array.isArray(a) ? a : null;
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} catch (e) {
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return null;
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}
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}
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/**
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* 核对单道题目的答案
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* @param {number} questionId - 题目 ID
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* @param {string} questionType - 题型:choice / judge / word
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* @param {string} answerData - 选手提交的答案
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* @returns {Promise<Object>} { isCorrect, score, question }
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*/
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async checkAnswer(questionId, questionType, answerData) {
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const QuestionModel = this._getQuestionModel(questionType);
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// question_uid 现在是「题型_自增id」的全局唯一形式(choice_12 / judge_3),
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// 判分时需还原为原始自增 id 再 findByPk;同时兼容历史纯数字形态。
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const rawId = this._extractRawId(questionId);
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const question = await QuestionModel.findByPk(rawId);
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if (!question) {
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return { isCorrect: false, score: 0, question: null, error: '题目不存在' };
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}
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// 比对答案(去除首尾空格,统一大小写)
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const correctAnswer = String(question.answer).trim().toLowerCase();
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const userAnswer = String(answerData).trim().toLowerCase();
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const isCorrect = correctAnswer === userAnswer;
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return {
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isCorrect,
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score: isCorrect ? question.score : 0,
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question: {
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id: question.id,
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question: question.question,
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question_type: questionType,
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correctAnswer: question.answer,
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maxScore: question.score,
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},
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};
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}
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/**
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* 批量自动判分
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* @param {Array} answers - 答案数组 [{ question_id, question_type, answer_data }]
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* @returns {Promise<Object>} { autoScore, total, details }
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*/
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async autoScore(answers) {
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const details = [];
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let autoScore = 0;
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let total = 0;
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for (const item of answers) {
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const result = await this.checkAnswer(
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item.question_id || item.question_uid,
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item.question_type,
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item.answer_data
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);
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if (result.question) {
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total += result.question.maxScore;
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autoScore += result.score;
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details.push({
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question_id: item.question_id || item.question_uid,
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question_type: item.question_type,
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answer_data: item.answer_data,
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is_correct: result.isCorrect,
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score: result.score,
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max_score: result.question.maxScore,
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});
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}
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}
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return { autoScore, total, details };
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}
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/**
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* 查询比赛时间状态
|
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* @param {string} group - 组别
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* @returns {Promise<Object>} { isActive, startTime, endTime, countdown, status }
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*/
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|||
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async getExamStatus(group) {
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const { ctx } = this;
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|
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const timeConfig = await ctx.model.CompetitionTime.findOne({
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where: { group: group },
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});
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// 未配置时间
|
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if (!timeConfig || !timeConfig.start_time || !timeConfig.end_time) {
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return {
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isActive: false,
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startTime: null,
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endTime: null,
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countdown: 0,
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status: 'not_set',
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message: '考试时间尚未配置',
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};
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}
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|||
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|
|||
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const now = new Date();
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const startTime = parseLocal(timeConfig.start_time);
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|||
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const endTime = parseLocal(timeConfig.end_time);
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|||
|
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// 考试未开始
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|||
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if (now < startTime) {
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|||
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return {
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|||
|
|
isActive: false,
|
|||
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startTime: startTime.toISOString(),
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|||
|
|
endTime: endTime.toISOString(),
|
|||
|
|
countdown: 0,
|
|||
|
|
status: 'not_started',
|
|||
|
|
message: '考试尚未开始',
|
|||
|
|
};
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 考试进行中
|
|||
|
|
if (now >= startTime && now <= endTime) {
|
|||
|
|
const countdown = Math.max(0, Math.floor((endTime - now) / 1000));
|
|||
|
|
return {
|
|||
|
|
isActive: true,
|
|||
|
|
startTime: startTime.toISOString(),
|
|||
|
|
endTime: endTime.toISOString(),
|
|||
|
|
countdown,
|
|||
|
|
status: 'in_progress',
|
|||
|
|
message: '考试正在进行中',
|
|||
|
|
};
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 考试已结束
|
|||
|
|
return {
|
|||
|
|
isActive: false,
|
|||
|
|
startTime: startTime.toISOString(),
|
|||
|
|
endTime: endTime.toISOString(),
|
|||
|
|
countdown: 0,
|
|||
|
|
status: 'ended',
|
|||
|
|
message: '考试已结束',
|
|||
|
|
};
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 获取 Word 模板文件路径
|
|||
|
|
* @param {string} group - 组别
|
|||
|
|
* @returns {Promise<string|null>} 模板文件路径
|
|||
|
|
*/
|
|||
|
|
async getWordTemplatePath(group) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
const timeConfig = await ctx.model.CompetitionTime.findOne({
|
|||
|
|
where: { group: group },
|
|||
|
|
attributes: ['id', 'word_template'],
|
|||
|
|
});
|
|||
|
|
return timeConfig ? timeConfig.word_template : null;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 保存答题记录(逐题存储)
|
|||
|
|
* @param {number} aggregationUid - 聚合报名 ID
|
|||
|
|
* @param {Array} answers - 答案数组 [{ question_uid, answer_data, is_correct, score }]
|
|||
|
|
* @param {string} group - 组别
|
|||
|
|
* @returns {Promise<Array>} 保存后的记录列表
|
|||
|
|
*/
|
|||
|
|
async saveAnswers(aggregationUid, answers, group) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
|
|||
|
|
// 根据组别选择对应的提交模型
|
|||
|
|
const SubmissionModel = group === 'zhongzhi'
|
|||
|
|
? ctx.model.ZhongzhiSubmission
|
|||
|
|
: ctx.model.GaozhiSubmission;
|
|||
|
|
|
|||
|
|
// 死锁判定:并发 upsert 抢同一唯一索引(uk_zhongzhi_submission)时会瞬时死锁,
|
|||
|
|
// 属于可重试的瞬时冲突,整体重试事务即可(而非丢数据)。
|
|||
|
|
const isDeadlock = (e) => {
|
|||
|
|
if (!e) return false;
|
|||
|
|
if (e.code === 'ER_LOCK_DEADLOCK') return true;
|
|||
|
|
if (e.parent && e.parent.code === 'ER_LOCK_DEADLOCK') return true;
|
|||
|
|
return /ER_LOCK_DEADLOCK/.test(String(e.message || ''));
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
// 死锁重试(最多 3 次,指数退避)。事务整体提交/回滚是原子的,要么全落要么全不落。
|
|||
|
|
const MAX_ATTEMPTS = 3;
|
|||
|
|
let lastErr = null;
|
|||
|
|
for (let attempt = 1; attempt <= MAX_ATTEMPTS; attempt++) {
|
|||
|
|
try {
|
|||
|
|
await ctx.model.transaction(async (t) => {
|
|||
|
|
for (const answer of answers) {
|
|||
|
|
// 原子 upsert:依靠 (aggregation_uid, question_uid, question_type) 唯一约束,
|
|||
|
|
// 并发作答时 MySQL 的 INSERT ... ON DUPLICATE KEY UPDATE 会将竞争请求
|
|||
|
|
// 折叠为对同一行的更新,彻底杜绝重复落库(B12 修复,覆盖 B11 的联合键)。
|
|||
|
|
//
|
|||
|
|
// ⚠️ question_uid 列是 INT:必须先把前缀形态('choice_683')还原成原始数字 id,
|
|||
|
|
// 否则 MySQL 会把字符串强转为 0,导致整卷 70 条答案坍缩成 choice/judge 各一行
|
|||
|
|
// 互相覆盖(B13 修复:uid 全局唯一化引入的落库回归)。
|
|||
|
|
//
|
|||
|
|
// ⚠️ 注意:MariaDB/MySQL 不支持 RETURNING 子句,带 returning:true 时 Sequelize
|
|||
|
|
// 会生成不被支持的 SQL,导致 upsert 静默不落库却返回「成功实例」。故此处去掉
|
|||
|
|
// returning,仅依赖事务提交 + 调用方 COUNT 复核(见 submitAll)。
|
|||
|
|
const rawQuestionId = this._extractRawId(answer.question_uid);
|
|||
|
|
await SubmissionModel.upsert({
|
|||
|
|
aggregation_uid: aggregationUid,
|
|||
|
|
question_uid: rawQuestionId,
|
|||
|
|
question_type: answer.question_type,
|
|||
|
|
answer_data: answer.answer_data,
|
|||
|
|
is_correct: answer.is_correct,
|
|||
|
|
score: answer.score,
|
|||
|
|
}, {
|
|||
|
|
conflictFields: ['aggregation_uid', 'question_uid', 'question_type'],
|
|||
|
|
transaction: t,
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
});
|
|||
|
|
return answers.length;
|
|||
|
|
} catch (err) {
|
|||
|
|
lastErr = err;
|
|||
|
|
ctx.logger.error(`[saveAnswers] attempt ${attempt}/${MAX_ATTEMPTS} failed agg=${aggregationUid}:`, err && err.message);
|
|||
|
|
if (isDeadlock(err) && attempt < MAX_ATTEMPTS) {
|
|||
|
|
await new Promise(r => setTimeout(r, 50 * attempt));
|
|||
|
|
continue;
|
|||
|
|
}
|
|||
|
|
throw err;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
throw lastErr;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 并发安全地获取/创建 exam_submissions 提交记录。
|
|||
|
|
* 依赖 contestant_id 唯一约束:并发下若另一请求已插入,findOrCreate 的 create 会触发
|
|||
|
|
* ER_DUP_ENTRY,此时直接取回已有记录,避免产生重复行(B12 修复)。
|
|||
|
|
* @param {number} contestantId - 选手 ID
|
|||
|
|
* @param {Object} defaults - 新建时的默认值
|
|||
|
|
* @returns {Promise<Object>} 提交记录实例
|
|||
|
|
*/
|
|||
|
|
async _ensureExamSubmissionSafe(contestantId, defaults) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
try {
|
|||
|
|
const [rec] = await ctx.model.ExamSubmission.findOrCreate({
|
|||
|
|
where: { contestant_id: contestantId },
|
|||
|
|
defaults,
|
|||
|
|
});
|
|||
|
|
return rec;
|
|||
|
|
} catch (e) {
|
|||
|
|
if (e.name === 'SequelizeUniqueConstraintError' ||
|
|||
|
|
/ER_DUP_ENTRY/.test(String(e.message))) {
|
|||
|
|
return await ctx.model.ExamSubmission.findOne({ where: { contestant_id: contestantId } });
|
|||
|
|
}
|
|||
|
|
throw e;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 获取/创建当前选手的 exam_submissions 提交记录(并发安全)
|
|||
|
|
* @param {number} contestantId - 选手 ID
|
|||
|
|
* @param {Array} answers - 答题内容
|
|||
|
|
* @returns {Promise<Object>} 提交记录实例
|
|||
|
|
*/
|
|||
|
|
async ensureExamSubmission(contestantId, answers) {
|
|||
|
|
const rec = await this._ensureExamSubmissionSafe(contestantId, {
|
|||
|
|
contestant_id: contestantId,
|
|||
|
|
answers: answers || [],
|
|||
|
|
submit_time: new Date(),
|
|||
|
|
});
|
|||
|
|
// 记录可能是团队锁占位 / Word 上传时创建的(submit_time 为 null,表示未正式提交)。
|
|||
|
|
// findOrCreate 命中已有行时不会更新字段,须显式补写 submit_time —— 否则
|
|||
|
|
// 正式提交后 hasSubmitted / 管理后台仍显示「未提交」(提交状态不一致修复)。
|
|||
|
|
if (rec && !rec.submit_time) {
|
|||
|
|
await rec.update({ submit_time: new Date(), answers: answers || [] });
|
|||
|
|
}
|
|||
|
|
return rec;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 检查用户是否已正式提交全部考试
|
|||
|
|
* 仅当 exam_submissions 表中有 submit_time 记录时才判定为已提交
|
|||
|
|
* @param {number} aggregationUid - 聚合报名 ID
|
|||
|
|
* @param {string} group - 组别
|
|||
|
|
* @returns {Promise<boolean>} 是否已正式提交
|
|||
|
|
*/
|
|||
|
|
async hasSubmitted(aggregationUid, group) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
// 提交组(本科/教师)的提交记录落在 benke_submissions / jiaoshi_submissions,
|
|||
|
|
// 与考试组(中职/高职)的 exam_submissions 不同表。统一在此按组别判定,
|
|||
|
|
// 使 GET /api/exam/:group/status 返回的 submitted 对全部组别一致生效
|
|||
|
|
// (前端 Dashboard「已提交」标签 + 进入拦截方可对提交组正确工作)。无新表列。
|
|||
|
|
if (group === 'benke' || group === 'jiaoshi') {
|
|||
|
|
const SubmissionModel = group === 'benke'
|
|||
|
|
? ctx.model.BenkeSubmission
|
|||
|
|
: ctx.model.JiaoshiSubmission;
|
|||
|
|
// 🔴 聚合键铁律:上传链路(service.upload.getUserAggregation)写入的
|
|||
|
|
// benke/jiaoshi_submissions.aggregation_uid = aggregation 表的 aggregation_uid,
|
|||
|
|
// 而本方法收到的 aggregationUid 来自 exam 控制器 = contestant.id,真实选手
|
|||
|
|
// 两者不相等(如郑佳怡 contestant.id=11 / aggregation_uid=1)。须按
|
|||
|
|
// account_uid → aggregation_uid 双向映射后再查(与 getScores 口径一致),
|
|||
|
|
// 否则真实选手提交后 submitted 恒 false → 标签仍「进行中」+ 可重复进入。
|
|||
|
|
const keys = [ aggregationUid ];
|
|||
|
|
const agg = await ctx.model.Aggregation.findOne({
|
|||
|
|
where: { account_uid: aggregationUid },
|
|||
|
|
attributes: [ 'aggregation_uid' ],
|
|||
|
|
});
|
|||
|
|
if (agg && agg.aggregation_uid && !keys.includes(agg.aggregation_uid)) {
|
|||
|
|
keys.push(agg.aggregation_uid);
|
|||
|
|
}
|
|||
|
|
const count = await SubmissionModel.count({
|
|||
|
|
where: { aggregation_uid: keys },
|
|||
|
|
});
|
|||
|
|
return count > 0;
|
|||
|
|
}
|
|||
|
|
const record = await ctx.model.ExamSubmission.findOne({
|
|||
|
|
where: { contestant_id: aggregationUid },
|
|||
|
|
attributes: ['submit_time'],
|
|||
|
|
});
|
|||
|
|
// 统一返回布尔(原为 record && ...,无记录时为 null),与提交组分支保持一致,
|
|||
|
|
// 避免调用方对 submitted 字段类型判断不一致。
|
|||
|
|
return !!(record && record.submit_time !== null);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 检查团队考试锁:同一小组是否已有人进入考试
|
|||
|
|
*
|
|||
|
|
* 🔴 跨组 team_uid 复用防护(组内一人参赛锁的核心正确性前提):
|
|||
|
|
* team_uid / team_id 仅在「组内唯一」,不同组别可复用同一个整数团队号
|
|||
|
|
* (实测:team_uid=1 同时存在于 zhongzhi 与 benke)。若不按组别限定队友,
|
|||
|
|
* benke 组选手的 exam_submissions 行会把 zhongzhi 组选手误判为「队友已进入考试」,
|
|||
|
|
* 导致 questions / submit-all 无故返回 4005「您的小组已进入考试」。
|
|||
|
|
* 因此队友候选集必须用 contestants.group 复筛为同组(选手组别的权威来源与
|
|||
|
|
* controller._getUserAggregation 的 team.group_name 一致,均取 contestant.group)。
|
|||
|
|
*
|
|||
|
|
* @param {number} teamId - 团队 ID
|
|||
|
|
* @param {number} excludeContestantId - 排除的选手 ID(当前用户)
|
|||
|
|
* @param {string} [group] - 当前选手组别;传入时按组别限定队友(防跨组误锁)
|
|||
|
|
* @returns {Promise<Object>} { locked: boolean, lockedBy: string|null }
|
|||
|
|
*/
|
|||
|
|
async checkTeamLock(teamId, excludeContestantId, group) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
if (!teamId) return { locked: false, lockedBy: null };
|
|||
|
|
|
|||
|
|
// 队友识别兼容两种团队来源:
|
|||
|
|
// - contestants.team_id = teamId(导入流程填充)
|
|||
|
|
// - aggregation.team_uid = teamId(聚合报名表填充,兼容旧数据)
|
|||
|
|
const contestantWhere = { team_id: teamId };
|
|||
|
|
if (group) contestantWhere.group = group;
|
|||
|
|
const contestants = await ctx.model.Contestant.findAll({
|
|||
|
|
where: contestantWhere,
|
|||
|
|
attributes: ['id', 'name'],
|
|||
|
|
});
|
|||
|
|
const contestantIds = contestants.map(c => c.id);
|
|||
|
|
|
|||
|
|
// aggregation 表无组别列声明(Sequelize 模型未定义 group),故此来源先取全量
|
|||
|
|
// 候选,再由下方 contestants.group 复筛统一过滤跨组污染。
|
|||
|
|
const aggRows = await ctx.model.Aggregation.findAll({
|
|||
|
|
where: { team_uid: teamId },
|
|||
|
|
attributes: ['account_uid'],
|
|||
|
|
});
|
|||
|
|
const aggIds = aggRows.map(a => a.account_uid);
|
|||
|
|
|
|||
|
|
let allIds = Array.from(new Set([...contestantIds, ...aggIds]))
|
|||
|
|
.filter(id => id !== excludeContestantId);
|
|||
|
|
|
|||
|
|
if (allIds.length === 0) return { locked: false, lockedBy: null };
|
|||
|
|
|
|||
|
|
// 🔴 同组复筛:剔除跨组复用同一 team_uid 的他组选手(见方法头注释)
|
|||
|
|
if (group) {
|
|||
|
|
const sameGroup = await ctx.model.Contestant.findAll({
|
|||
|
|
where: { id: allIds, group },
|
|||
|
|
attributes: ['id'],
|
|||
|
|
});
|
|||
|
|
allIds = sameGroup.map(r => r.id);
|
|||
|
|
if (allIds.length === 0) return { locked: false, lockedBy: null };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
const existingSubmission = await ctx.model.ExamSubmission.findOne({
|
|||
|
|
where: {
|
|||
|
|
contestant_id: allIds,
|
|||
|
|
},
|
|||
|
|
include: [{
|
|||
|
|
model: ctx.model.Contestant,
|
|||
|
|
as: 'contestant',
|
|||
|
|
attributes: ['name'],
|
|||
|
|
}],
|
|||
|
|
order: [['id', 'ASC']],
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
if (existingSubmission) {
|
|||
|
|
return {
|
|||
|
|
locked: true,
|
|||
|
|
lockedBy: existingSubmission.contestant ? existingSubmission.contestant.name : '队友',
|
|||
|
|
};
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return { locked: false, lockedBy: null };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 设置团队考试锁(创建 exam_submission 占位记录)
|
|||
|
|
* @param {number} teamId - 团队 ID
|
|||
|
|
* @param {number} contestantId - 选手 ID
|
|||
|
|
* @returns {Promise<void>}
|
|||
|
|
*/
|
|||
|
|
async setTeamLock(teamId, contestantId) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
|
|||
|
|
// 使用并发安全方式获取/创建(唯一约束下避免重复行,B12 修复)。
|
|||
|
|
// ⚠️ 占位记录 submit_time 必须为 null:占位 ≠ 正式提交,否则选手一进考试
|
|||
|
|
// 就被 hasSubmitted 判为「已提交」(提交状态不一致 Bug 根源之一)。
|
|||
|
|
const rec = await this._ensureExamSubmissionSafe(contestantId, {
|
|||
|
|
contestant_id: contestantId,
|
|||
|
|
answers: [],
|
|||
|
|
submit_time: null,
|
|||
|
|
});
|
|||
|
|
return rec;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 保存 Word 文件上传记录
|
|||
|
|
* @param {number} aggregationUid - 聚合报名 ID
|
|||
|
|
* @param {number} questionUid - 题目 ID
|
|||
|
|
* @param {string} group - 组别
|
|||
|
|
* @param {Object} fileInfo - 文件信息 { filePath, fileName, md5 }
|
|||
|
|
* @returns {Promise<Object>} 保存后的记录
|
|||
|
|
*/
|
|||
|
|
async saveWordFile(aggregationUid, questionUid, group, fileInfo) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
|
|||
|
|
// 查找该选手的答题记录
|
|||
|
|
let record = await ctx.model.ExamSubmission.findOne({
|
|||
|
|
where: { contestant_id: aggregationUid },
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
// 不存在则并发安全地创建(唯一约束下避免重复行,B12 修复)。
|
|||
|
|
// ⚠️ 仅上传 Word ≠ 正式提交,submit_time 保持 null,正式提交由
|
|||
|
|
// ensureExamSubmission 统一补写(提交状态不一致修复)。
|
|||
|
|
if (!record) {
|
|||
|
|
record = await this._ensureExamSubmissionSafe(aggregationUid, {
|
|||
|
|
contestant_id: aggregationUid,
|
|||
|
|
answers: [],
|
|||
|
|
submit_time: null,
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 更新 Word 文件信息
|
|||
|
|
await record.update({
|
|||
|
|
word_file_path: fileInfo.filePath,
|
|||
|
|
word_file_name: fileInfo.fileName,
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
return record;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 获取某用户的所有答题记录
|
|||
|
|
* @param {number} aggregationUid - 聚合报名 ID
|
|||
|
|
* @param {string} group - 组别
|
|||
|
|
* @returns {Promise<Array>} 答题记录列表
|
|||
|
|
*/
|
|||
|
|
async getUserAnswers(aggregationUid, group) {
|
|||
|
|
const { ctx } = this;
|
|||
|
|
const SubmissionModel = group === 'zhongzhi'
|
|||
|
|
? ctx.model.ZhongzhiSubmission
|
|||
|
|
: ctx.model.GaozhiSubmission;
|
|||
|
|
|
|||
|
|
return await SubmissionModel.findAll({
|
|||
|
|
where: { aggregation_uid: aggregationUid },
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 计算 Word 文件 MD5
|
|||
|
|
* @param {string} filePath - 文件路径
|
|||
|
|
* @returns {Promise<string>} MD5 值
|
|||
|
|
*/
|
|||
|
|
async calculateFileMd5(filePath) {
|
|||
|
|
return new Promise((resolve, reject) => {
|
|||
|
|
const hash = crypto.createHash('md5');
|
|||
|
|
const stream = fs.createReadStream(filePath);
|
|||
|
|
stream.on('data', chunk => hash.update(chunk));
|
|||
|
|
stream.on('end', () => resolve(hash.digest('hex')));
|
|||
|
|
stream.on('error', reject);
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 将数据库中的时间字符串(如 '2026-07-22 09:00:00',无时区标记)按本地时区解析。
|
|||
|
|
* 注意:new Date('2026-07-22 09:00:00') 在 V8 中会按 UTC 解析,导致与业务库
|
|||
|
|
* 本地时间产生约 8 小时的偏移;将空格替换为 'T' 后按本地时区解析可修正该偏差。
|
|||
|
|
* @param {string|Date} ts - 时间字符串或 Date 对象
|
|||
|
|
* @returns {Date}
|
|||
|
|
*/
|
|||
|
|
function parseLocal(ts) {
|
|||
|
|
if (!ts) return new Date(NaN);
|
|||
|
|
if (ts instanceof Date) return ts;
|
|||
|
|
const s = String(ts).trim().replace(' ', 'T');
|
|||
|
|
return new Date(s);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* 规范化题目输出字段
|
|||
|
|
* - 补齐 question_uid(铁律2:前端统一以 question_uid 作为题目稳定标识,
|
|||
|
|
* 库表主键为自增 id,question_uid 以其字符串形式暴露)
|
|||
|
|
* - options 在库中以 JSON 字符串存储,规范化为数组返回(judge 题型无 options)
|
|||
|
|
* @param {Object} q - 原始题目(raw:true 结果)
|
|||
|
|
* @param {string} questionType - choice / judge
|
|||
|
|
* @returns {Object} 规范化后的题目
|
|||
|
|
*/
|
|||
|
|
function normalizeQuestion(q, questionType) {
|
|||
|
|
const out = { ...q };
|
|||
|
|
out.question_type = questionType;
|
|||
|
|
if (out.question_uid === undefined || out.question_uid === null) {
|
|||
|
|
// 题号全局唯一(关键修复):选择题与判断题各自的自增 id 都从 1 开始、会重复,
|
|||
|
|
// 若仅用 id 作为 question_uid,choice#1 与 judge#1 会碰撞,导致:
|
|||
|
|
// ① 前端 findIndex 命中错误位置 → 序号重复(如判断题里出现「1」)、真实序号丢失(如「55」不见);
|
|||
|
|
// ② answers 以 question_uid 为键 → 两题相互覆盖 → 答完仍提示「未作答」/题目丢失。
|
|||
|
|
// 因此以「题型_自增id」作为跨题型全局唯一的稳定标识。
|
|||
|
|
out.question_uid = questionType + '_' + out.id;
|
|||
|
|
}
|
|||
|
|
if (questionType === 'choice') {
|
|||
|
|
if (typeof out.options === 'string') {
|
|||
|
|
try {
|
|||
|
|
const parsed = JSON.parse(out.options);
|
|||
|
|
out.options = Array.isArray(parsed) ? parsed : [];
|
|||
|
|
} catch (e) {
|
|||
|
|
out.options = [];
|
|||
|
|
}
|
|||
|
|
} else if (!Array.isArray(out.options)) {
|
|||
|
|
out.options = [];
|
|||
|
|
}
|
|||
|
|
} else {
|
|||
|
|
// 判断题无选项
|
|||
|
|
out.options = [];
|
|||
|
|
}
|
|||
|
|
return out;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
module.exports = ExamService;
|