feat(班级PK): 班级 PK 只比两个班都布置过的同一批题,按做对的人占几成分输赢;登录了就能看,AI 分析由服务端现算

- 新接口 GET /rankings/pk:一个班过半的人交过算布置过,至少两个班布置过的题才比;
  显示的整数百分比一样算平;口径和排名页一样(这学期、比赛不算、不计入排名的人不算)
- 不给班就用自己的班(老师用默认的班),只给一个班就配同年级一起布置过的题最多的班,
  一样多挑班级对抗排得更前的
- 去掉 POST /classes/comparison(原来不登录也能查,综合分、四分位数、优秀率都按所选几个班算)
- /ai/class-pk-analysis 只收班号和时间段,数字和页面上的是同一份

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
xuyueandClaude Opus 5.5 committed 2026-10-10 09:06:21 +08:00
1 parent 3c6e4a1e7c
commit d83804b814
7 files changed
+390 -240

No files matched your search

+41 -3
View File
@@ -23,7 +23,7 @@ import { generateFilteredHint } from "../services/hint-filter"
import { buildDetail, buildDuration, listSolved } from "../services/learning-stats"
import { decideHintLevel } from "../services/hint-level"
import { hintDiagnosis, hintPrompt, referenceAnswer } from "../services/hint-diagnosis"
import { classDetail } from "../services/ranking"
import { classDetail, classPk } from "../services/ranking"
import { consumeToken } from "../services/throttling"
import { calendarDay, dayNumber, dayText, localTime, localWeekday } from "../time"
import { countFailedSubmissions, isTeacherOrAbove, asRecord, queryInteger } from "./helpers"
@@ -385,8 +385,46 @@ aiRoutes.post("/ai/class-pk-analysis", requireAuth, async (c) => {
if (!parsed.success) return parsed.response
const limited = await throttleAi(c)
if (limited) return limited
// 数字和页面上的是同一份(services/ranking.ts 的 classPk),不再由前端整包传上来
const pk = await classPk([...new Set(parsed.data.classNames)], parsed.data.period, null)
const label = (name: string) => `${name.slice(0, 2)}计算机${name.slice(2)}班`
const facts = {
时间段: parsed.data.period === "week" ? "这周" : "这学期",
各班: pk.classes.map((item) => ({
班级: label(item.className),
人数: item.members,
人均做对: item.perCapita,
中间那位做对: item.median,
做对过题的人: item.solvedMembers,
一次就对百分比: item.firstPercent,
同一批题里领先几道: item.lead,
这学期每周人均新做对: item.weekly,
})),
同一批题: pk.problems.map((problem) => ({
题目: problem.title,
各班: problem.cells.map((cell, index) =>
cell
? {
班级: label(pk.classes[index]!.className),
做对的人占全班百分比: cell.percent,
一次就对百分比: cell.firstPercent,
交过的人: cell.tried,
最好: cell.best,
}
: { 班级: label(pk.classes[index]!.className), 没布置: true },
),
})),
只有一个班布置过的题数: pk.solo.length,
}
return streamChat(
"你是编程教育数据分析专家。根据多个班级 OJ 对比数据,从排名、参与度、典型学生水平、均衡性、梯队、提交质量和教学建议七方面输出中文 Markdown 报告。",
`${parsed.data.timeRangeLabel}\n${JSON.stringify(parsed.data.comparisons)}`,
[
"你是编程课老师的助教。下面是几个班在 OJ 上的对比数据(JSON)。各班进度不同、布置的题不一样,",
"所以比较以「同一批题」(至少两个班都布置过的题)为主,人均做对只作参考。",
"用中文 Markdown 写一份给老师看的简短分析,分三到四段,每段一两句,段首加粗:",
"**整体**(人均和同一批题里各班领先几道,人均差距有多少是进度造成的)、",
"**差得最多的题**(点题目名,哪个班明显低)、**一次就对**(哪个班更稳、哪个班靠多交几次)、",
"**建议**(下节课能直接做的事)。用大白话,不要出现四分位数、标准差这类统计词,不要编数据里没有的数字。",
].join(""),
JSON.stringify(facts),
)
})
+1 -191
View File
@@ -1,6 +1,5 @@
import {
isSqlProblem,
classComparisonRequestSchema,
STUDENT_ROLES,
classLessonRequestSchema,
type ClassActivity,
@@ -8,26 +7,11 @@ import {
type ClassBoardStudent,
type ClassLesson,
type ClassActivityProblem,
type ClassComparison,
type ClassComparisonResponse,
type LastVisit,
type LessonLanguage,
FLOWCHART_PASS_GRADES,
} from "@oj2/contract"
import {
and,
asc,
desc,
eq,
gte,
inArray,
isNotNull,
isNull,
like,
lt,
lte,
sql,
} from "drizzle-orm"
import { and, asc, desc, eq, gte, inArray, isNotNull, isNull, lt, sql } from "drizzle-orm"
import { Hono } from "hono"
import { requireAuth, requireTeacher, type AppEnv } from "../auth/middleware"
@@ -37,75 +21,9 @@ import { failure, parseBody, success } from "../http"
import { JudgeStatus } from "../judge/status"
import { accepted } from "../services/learning-stats"
import { calendarDay, dayStart, localTime } from "../time"
import { rounded } from "./helpers"
export const classroomRoutes = new Hono<AppEnv>()
interface ClassUser {
userId: number
username: string
className: string
acceptedNumber: number
submissionNumber: number
}
/**
* 入班学生的 AC/提交数。`gradePrefix` 是年级(班号形如 `241` = 24 级 1 班),
* 走 SQL 的 like 而不是拉全表再在内存里 startsWith —— 班级榜每换一次年级就要跑一遍,
* 没必要每次都把全校一千多号人搬进进程。年级在调用处已校验为纯数字,不含 like 通配符。
*/
async function loadClassUsers(classNames?: string[], gradePrefix?: string) {
const filters = [
eq(schema.user.isDisabled, false),
inArray(schema.user.adminType, [...STUDENT_ROLES]),
sql`${schema.user.className} is not null`,
]
if (classNames) filters.push(inArray(schema.user.className, classNames))
if (gradePrefix) filters.push(like(schema.user.className, `${gradePrefix}%`))
const rows = await db
.select({
userId: schema.user.id,
username: schema.user.username,
className: schema.user.className,
acceptedNumber: schema.userProfile.acceptedNumber,
submissionNumber: schema.userProfile.submissionNumber,
})
.from(schema.user)
.innerJoin(schema.userProfile, eq(schema.userProfile.userId, schema.user.id))
.where(and(...filters))
return rows.filter((row): row is ClassUser => row.className !== null)
}
function mean(values: number[]) {
return values.length ? values.reduce((sum, value) => sum + value, 0) / values.length : 0
}
function median(values: number[]) {
if (!values.length) return 0
const sorted = [...values].sort((a, b) => a - b)
const middle = Math.floor(sorted.length / 2)
return sorted.length % 2 ? sorted[middle]! : (sorted[middle - 1]! + sorted[middle]!) / 2
}
function quantile(values: number[], p: number) {
if (values.length <= 1) return values[0] ?? 0
const sorted = [...values].sort((a, b) => a - b)
const position = (sorted.length + 1) * p - 1
if (position <= 0) return sorted[0]!
if (position >= sorted.length - 1) return sorted.at(-1)!
const lower = Math.floor(position)
const fraction = position - lower
return sorted[lower]! + (sorted[lower + 1]! - sorted[lower]!) * fraction
}
function sampleStdDev(values: number[]) {
if (values.length <= 1) return 0
const average = mean(values)
return Math.sqrt(
values.reduce((sum, value) => sum + (value - average) ** 2, 0) / (values.length - 1),
)
}
/**
* 同班同一天有这么多人做过,就算「班里在做」。2025 秋的实测分布是两极的:
* (班级, 日, 题) 要么只有 1 个人(自己在刷),要么 13 人以上(老师点的题),
@@ -892,111 +810,3 @@ classroomRoutes.put("/classroom/lesson", requireTeacher, async (c) => {
})
return success(c, null)
})
classroomRoutes.post("/classes/comparison", async (c) => {
const parsed = await parseBody(c, classComparisonRequestSchema, "At least one class is required")
if (!parsed.success) return parsed.response
const users = await loadClassUsers(parsed.data.classNames)
const allAc = users.map((user) => user.acceptedNumber)
const globalQ1 = quantile(allAc, 0.25)
const globalQ3 = quantile(allAc, 0.75)
const byClass = new Map<string, ClassUser[]>()
for (const user of users)
byClass.set(user.className, [...(byClass.get(user.className) ?? []), user])
let recentByUser = new Map<number, Set<number>>()
let recentSubmissionCount = new Map<string, number>()
const hasTimeRange = Boolean(parsed.data.startTime && parsed.data.endTime)
if (hasTimeRange) {
const rows = await db
.select({
userId: schema.submission.userId,
problemId: schema.submission.problemId,
result: schema.submission.result,
})
.from(schema.submission)
.where(
and(
inArray(
schema.submission.userId,
users.map((user) => user.userId),
),
gte(schema.submission.createTime, parsed.data.startTime!),
lte(schema.submission.createTime, parsed.data.endTime!),
),
)
const userClass = new Map(users.map((user) => [user.userId, user.className]))
for (const row of rows) {
const className = userClass.get(row.userId)
if (!className) continue
recentSubmissionCount.set(className, (recentSubmissionCount.get(className) ?? 0) + 1)
if ([JudgeStatus.ACCEPTED, JudgeStatus.AST_CHECK_FAILED].includes(row.result as 0 | 10)) {
const set = recentByUser.get(row.userId) ?? new Set<number>()
set.add(row.problemId)
recentByUser.set(row.userId, set)
}
}
}
const comparisons = [...byClass].map(([className, members]) => {
const ac = members.map((member) => member.acceptedNumber).sort((a, b) => b - a)
const submissions = members.map((member) => member.submissionNumber).sort((a, b) => b - a)
const userCount = members.length
const topCount = Math.max(1, Math.ceil(userCount * 0.1))
const bottomCount = topCount
const middle = topCount + bottomCount < userCount ? ac.slice(topCount, -bottomCount) : ac
const totalAc = ac.reduce((sum, value) => sum + value, 0)
const totalSubmission = submissions.reduce((sum, value) => sum + value, 0)
const base: ClassComparison = {
className,
userCount,
totalAc,
totalSubmission,
avgAc: rounded(mean(ac)),
medianAc: rounded(median(ac)),
q1Ac: rounded(quantile(ac, 0.25)),
q3Ac: rounded(quantile(ac, 0.75)),
iqr: rounded(quantile(ac, 0.75) - quantile(ac, 0.25)),
stdDev: rounded(sampleStdDev(ac)),
top10Avg: rounded(mean(ac.slice(0, topCount))),
middle80Avg: rounded(mean(middle)),
bottom10Avg: rounded(mean(ac.slice(-bottomCount))),
excellentRate: rounded((ac.filter((value) => value >= globalQ3).length / userCount) * 100),
passRate: rounded((ac.filter((value) => value >= globalQ1).length / userCount) * 100),
activeRate: rounded((submissions.filter((value) => value > 0).length / userCount) * 100),
acRate: totalSubmission > 0 ? rounded((totalAc / totalSubmission) * 100) : 0,
compositeScore: 0,
}
if (hasTimeRange) {
const recent = members
.map((member) => recentByUser.get(member.userId)?.size ?? 0)
.sort((a, b) => b - a)
base.recentTotalAc = recent.reduce((sum, value) => sum + value, 0)
base.recentTotalSubmission = recentSubmissionCount.get(className) ?? 0
base.recentAvgAc = rounded(mean(recent))
base.recentMedianAc = rounded(median(recent))
base.recentTop10Avg = rounded(
mean(recent.slice(0, Math.max(1, Math.ceil(recent.length * 0.1)))),
)
base.recentActiveCount = recent.filter((value) => value > 0).length
}
return base
})
const maxMedian = Math.max(1, ...comparisons.map((item) => item.medianAc))
const maxMiddle = Math.max(1, ...comparisons.map((item) => item.middle80Avg))
for (const item of comparisons) {
item.compositeScore = rounded(
0.4 * ((item.medianAc / maxMedian) * 100) +
0.15 * ((item.middle80Avg / maxMiddle) * 100) +
0.2 * item.activeRate +
0.15 * item.passRate +
0.1 * item.excellentRate,
1,
)
}
comparisons.sort((a, b) => b.compositeScore - a.compositeScore || b.medianAc - a.medianAc)
return success(c, {
comparisons,
hasTimeRange,
} satisfies ClassComparisonResponse)
})
+37 -1
View File
@@ -1,4 +1,5 @@
import {
classPkPeriodSchema,
rankHiddenRequestSchema,
rankPeriodSchema,
rankScopeSchema,
@@ -13,7 +14,7 @@ import {
import { and, countDistinct, desc, eq, gte, inArray, isNotNull, ne } from "drizzle-orm"
import { Hono } from "hono"
import { optionalAuth, requireTeacher, type AppEnv } from "../auth/middleware"
import { optionalAuth, requireAuth, requireTeacher, type AppEnv } from "../auth/middleware"
import { db, schema } from "../db"
import { failure, parseBody, success } from "../http"
import { dayStart, termStart, weekStart } from "../time"
@@ -21,7 +22,10 @@ import {
audienceWhere,
classBattle,
classDetail,
classPk,
loadEntrants,
PK_MAX_CLASSES,
pkPartner,
rankedStudents,
standings,
WEEK_MS,
@@ -252,6 +256,38 @@ rankingRoutes.get("/rankings/class-detail", optionalAuth, async (c) => {
return success(c, await classDetail(className, isTeacherOrAbove(c.get("user"))))
})
/**
* 班级 PK(设计稿「班级 PK 重设计」定稿):`classes` 逗号分隔。谁登录了都能看 —— 只有班级
* 层面的数,没有点名到人。只给一个班(或者不给,用自己的班 / 老师默认的班)就配一个对手,
* 见 `pkPartner`。
*/
rankingRoutes.get("/rankings/pk", requireAuth, async (c) => {
const user = c.get("user")!
const period = classPkPeriodSchema.safeParse(c.req.query("period") ?? "term")
if (!period.success) return failure(c, 400, "invalid-query", "时间段不对")
const requested = [
...new Set(
(c.req.query("classes") ?? "")
.split(",")
.map((name) => name.trim())
.filter((name) => name && name.length <= 32),
),
]
if (requested.length > PK_MAX_CLASSES)
return failure(c, 400, "too-many-classes", `一次最多比 ${PK_MAX_CLASSES} 个班`)
const isTeacher = isTeacherOrAbove(user)
const mine = isTeacher ? null : user.className || null
const classNames = requested.length
? requested
: [isTeacher ? await defaultClassFor(user.id) : mine].filter((name): name is string => !!name)
if (classNames.length === 1) {
const partner = await pkPartner(classNames[0]!)
if (partner) classNames.push(partner)
}
return success(c, await classPk(classNames, period.data, mine))
})
/** 本班每周冠军:最近几个已经结束的周,每周新做对最多的那个人(一样多先做到的) */
rankingRoutes.get("/rankings/champions", optionalAuth, async (c) => {
const className = await resolveGroup(c.get("user"), "class", c.req.query("className")?.trim())
+223
View File
@@ -2,6 +2,10 @@ import {
STUDENT_ROLES,
type ClassBattleItem,
type ClassDetail,
type ClassPk,
type ClassPkCell,
type ClassPkClass,
type ClassPkPeriod,
type RankScope,
} from "@oj2/contract"
import {
@@ -15,6 +19,7 @@ import {
like,
min,
ne,
sql,
type SQL,
} from "drizzle-orm"
@@ -308,3 +313,221 @@ export async function classDetail(className: string, withCare: boolean): Promise
care,
} satisfies ClassDetail
}
/** 一次最多比几个班(对照格再宽就放不下了) */
export const PK_MAX_CLASSES = 8
interface PkPair {
className: string
problemId: number
solved: boolean
firstSolved: boolean
submissions: number
}
/**
* 这几个班从 `since` 起每个人每道题:交了几次、做对没有、第一次交就对没有。比赛里的提交不算,
* 入榜人群和排名页一样(不计入排名的人不算)。「第一次」是这段时间里的第一次。
*/
async function pkPairs(classNames: string[], since: string): Promise<PkPair[]> {
const rows = await db
.select({
className: schema.user.className,
problemId: schema.submission.problemId,
submissions: count(),
solved: sql<boolean>`bool_or(${inArray(schema.submission.result, SOLVED_RESULTS)})`,
first: sql<number>`(array_agg(${schema.submission.result} order by ${schema.submission.createTime}, ${schema.submission.id}))[1]`,
})
.from(schema.submission)
.innerJoin(schema.user, eq(schema.user.id, schema.submission.userId))
.where(
and(
rankedStudents,
inArray(schema.user.className, classNames),
isNull(schema.submission.contestId),
gte(schema.submission.createTime, since),
),
)
.groupBy(schema.user.className, schema.submission.userId, schema.submission.problemId)
return rows.map((row) => ({
className: row.className!,
problemId: row.problemId,
solved: row.solved,
firstSolved: (SOLVED_RESULTS as number[]).includes(row.first),
submissions: row.submissions,
}))
}
/** 每个班布置过哪些题:过半的人交过就算 */
function assignedSets(pairs: PkPair[], members: Map<string, number>) {
const tried = new Map<string, Map<number, number>>()
for (const pair of pairs) {
const byProblem = tried.get(pair.className) ?? new Map<number, number>()
byProblem.set(pair.problemId, (byProblem.get(pair.problemId) ?? 0) + 1)
tried.set(pair.className, byProblem)
}
const sets = new Map<string, Set<number>>()
for (const [className, byProblem] of tried) {
const n = members.get(className) ?? 0
sets.set(
className,
new Set([...byProblem].filter(([, people]) => n > 0 && people * 2 >= n).map(([id]) => id)),
)
}
return sets
}
function memberCounts(entrants: Entrant[]) {
const members = new Map<string, number>()
for (const entrant of entrants)
members.set(entrant.className!, (members.get(entrant.className!) ?? 0) + 1)
return members
}
/**
* 只给了一个班(或者没给、用看的人自己的班)时,配一个对手:同年级在用的班里,和它一起
* 布置过的题最多的那个;一样多挑班级对抗里排得更前的(用户 2026-10-10 定的)。
* 同年级没有别的在用的班就不配。
*/
export async function pkPartner(className: string) {
const { term, entrants } = await classedEntrants()
const battle = battleFrom(entrants)
const grade = className.slice(0, 2)
const candidates = battle.filter(
(item) => item.className !== className && item.className.slice(0, 2) === grade,
)
if (!candidates.length) return null
const names = [className, ...candidates.map((item) => item.className)]
const sets = assignedSets(
await pkPairs(names, term),
memberCounts(entrants.filter((entrant) => names.includes(entrant.className!))),
)
const mine = sets.get(className) ?? new Set<number>()
const common = (name: string) => [...(sets.get(name) ?? [])].filter((id) => mine.has(id)).length
return candidates.sort((a, b) => common(b.className) - common(a.className) || a.rank - b.rank)[0]!
.className
}
/**
* 班级 PK 的全部数字(页面和 AI 分析共用)。人均、分布按 `period` 算;每周人均(赛跑)
* 一直按这学期,横轴才有东西。
*/
export async function classPk(
classNames: string[],
period: ClassPkPeriod,
mine: string | null,
): Promise<ClassPk> {
const { term, entrants: all } = await classedEntrants()
const since = period === "week" ? weekStart() : term
const sinceMs = Date.parse(since)
const battle = battleFrom(all)
const entrants = all.filter((entrant) => classNames.includes(entrant.className!))
const members = memberCounts(entrants)
const pairs = await pkPairs(classNames, since)
const assigned = assignedSets(pairs, members)
const firstWeek = Date.parse(weekStart(term))
const thisWeek = Date.parse(weekStart())
const weeks: number[] = []
for (let from = firstWeek; from <= thisWeek; from += WEEK_MS) weeks.push(from)
// 每道题、每个班:交过 / 做对 / 一次就对 / 提交次数
const cells = new Map<
number,
Map<string, Omit<ClassPkCell, "percent" | "firstPercent" | "best">>
>()
for (const pair of pairs) {
if (!assigned.get(pair.className)?.has(pair.problemId)) continue
const byClass = cells.get(pair.problemId) ?? new Map()
const cell = byClass.get(pair.className) ?? { tried: 0, solved: 0, firstTry: 0, submissions: 0 }
cell.tried++
if (pair.solved) cell.solved++
if (pair.firstSolved) cell.firstTry++
cell.submissions += pair.submissions
byClass.set(pair.className, cell)
cells.set(pair.problemId, byClass)
}
const titles = cells.size
? await db
.select({
id: schema.problem.id,
displayId: schema.problem.displayId,
title: schema.problem.title,
})
.from(schema.problem)
.where(inArray(schema.problem.id, [...cells.keys()]))
: []
const titleOf = new Map(titles.map((row) => [row.id, row]))
const lead = new Map<string, number>()
const problems: ClassPk["problems"] = []
const solo: ClassPk["solo"] = []
for (const [problemId, byClass] of [...cells].sort((a, b) => a[0] - b[0])) {
const meta = titleOf.get(problemId)
if (!meta) continue
if (byClass.size === 1) {
const [className] = byClass.keys()
solo.push({ problemId, displayId: meta.displayId, title: meta.title, className: className! })
continue
}
const row = classNames.map((className) => {
const cell = byClass.get(className)
if (!cell) return null
return {
...cell,
percent: Math.round((cell.solved / members.get(className)!) * 100),
firstPercent: Math.round((cell.firstTry / cell.tried) * 100),
best: false,
}
})
const top = Math.max(...row.map((cell) => cell?.percent ?? -1))
row.forEach((cell, index) => {
if (!cell || cell.percent !== top) return
cell.best = true
lead.set(classNames[index]!, (lead.get(classNames[index]!) ?? 0) + 1)
})
problems.push({ problemId, displayId: meta.displayId, title: meta.title, cells: row })
}
const classes = classNames.map((className) => {
const people = entrants.filter((entrant) => entrant.className === className)
const solved = people.map((entrant) => entrant.times.filter((time) => time >= sinceMs).length)
const own = pairs.filter((pair) => pair.className === className)
return {
className,
members: people.length,
perCapita: people.length ? rounded(average(solved), 1) : 0,
median: median(solved),
solvedMembers: solved.filter((value) => value > 0).length,
firstPercent: own.length
? Math.round((own.filter((pair) => pair.firstSolved).length / own.length) * 100)
: null,
lead: lead.get(className) ?? 0,
battleRank: battle.find((item) => item.className === className)?.rank ?? null,
distribution: solved,
weekly: weeks.map((from) =>
people.length
? rounded(
average(
people.map(
(entrant) =>
entrant.times.filter((time) => time >= from && time < from + WEEK_MS).length,
),
),
1,
)
: 0,
),
} satisfies ClassPkClass
})
return {
period,
start: since,
weeks: weeks.map((from) => new Date(from).toISOString()),
classes,
mine,
problems,
solo,
} satisfies ClassPk
}
+5 -2
View File
@@ -1,5 +1,7 @@
import { z } from "zod"
import { classPkPeriodSchema } from "./ranking"
/**
* 评级。`grade()` 返回 S/A/B/C,`averageGrade()` 在没有可用数据时返回空串 ——
* 空串是真会下发的值,别把它从这里去掉,前端要按「无评级」处理。
@@ -240,9 +242,10 @@ export const classAnalysisRequestSchema = z.object({
className: z.string().trim().min(1).max(32),
})
/** 班级 PK 的 AI 分析同样只传班号和时间段,数字和页面上的是同一份(services/ranking.ts 的 classPk) */
export const classPkAnalysisRequestSchema = z.object({
comparisons: z.array(z.record(z.string(), z.unknown())).min(2),
timeRangeLabel: z.string().default("全部时间"),
classNames: z.array(z.string().trim().min(1).max(32)).min(2).max(8),
period: classPkPeriodSchema,
})
/**
-43
View File
@@ -3,44 +3,6 @@ import { z } from "zod"
import { judgeStatusSchema } from "./judge-status"
import { lessonLanguageSchema as lessonLanguageValueSchema } from "./language"
export const classComparisonSchema = z.object({
className: z.string(),
userCount: z.number().int(),
totalAc: z.number().int(),
totalSubmission: z.number().int(),
avgAc: z.number(),
medianAc: z.number(),
q1Ac: z.number(),
q3Ac: z.number(),
iqr: z.number(),
stdDev: z.number(),
top10Avg: z.number(),
middle80Avg: z.number(),
bottom10Avg: z.number(),
excellentRate: z.number(),
passRate: z.number(),
activeRate: z.number(),
acRate: z.number(),
compositeScore: z.number(),
recentTotalAc: z.number().int().optional(),
recentTotalSubmission: z.number().int().optional(),
recentAvgAc: z.number().optional(),
recentMedianAc: z.number().optional(),
recentTop10Avg: z.number().optional(),
recentActiveCount: z.number().int().optional(),
})
export const classComparisonRequestSchema = z.object({
classNames: z.array(z.string()).min(1),
startTime: z.string().optional(),
endTime: z.string().optional(),
})
export const classComparisonResponseSchema = z.object({
comparisons: z.array(classComparisonSchema),
hasTimeRange: z.boolean(),
})
/**
* 「班里在做」:同班同一天有好几个人做的题,基本就是老师在课上点名的那几道。
* `day` 是东八区日历日;最近 7 天都没有这样的题时为 null,`problems` 为空。
@@ -200,9 +162,6 @@ export const classLessonSchema = z.object({
problems: z.array(z.object({ problemDisplayId: z.string(), title: z.string() })),
})
export type ClassComparison = z.infer<typeof classComparisonSchema>
export type ClassComparisonResponse = z.infer<typeof classComparisonResponseSchema>
export type ClassActivity = z.infer<typeof classActivitySchema>
export type LastVisit = z.infer<typeof lastVisitSchema>
export type ClassLessonRequest = z.infer<typeof classLessonRequestSchema>
@@ -212,5 +171,3 @@ export type ClassBoardProblem = z.infer<typeof classBoardProblemSchema>
export type ClassBoardStudent = z.infer<typeof classBoardStudentSchema>
export type ClassBoardCell = z.infer<typeof classBoardCellSchema>
export type ClassActivityProblem = z.infer<typeof classActivityProblemSchema>
export type ClassComparisonRequest = z.infer<typeof classComparisonRequestSchema>
+83
View File
@@ -146,3 +146,86 @@ export const classDetailSchema = z.object({
})
export type ClassDetail = z.infer<typeof classDetailSchema>
/**
* 班级 PK(设计稿「班级 PK 重设计」定稿)。用户定的:**两个班按「同一批题」对决,三个班以上
* 按题对照,学生也能看**。
*
* 各班进度不同、布置的题不一样,比人均等于比谁开课早,所以主角是「同一批题」:
* 一个班过半的人交过这道题就算这个班**布置过**;至少两个班布置过的题才拿来比,
* 比的是**做对的人占全班几成**(整数百分比),高的那个班赢这道,显示一样就算平 ——
* 不然 37/39 和 38/40 都显示 95%,皇冠却只给一边。口径和排名页一样:比赛里的提交不算,
* 不计入排名的人分子分母都不算。
*/
export const classPkPeriodSchema = z.enum(["week", "term"])
export const classPkCellSchema = z.object({
/** 这段时间交过这道题的人 */
tried: z.number().int().nonnegative(),
/** 这段时间做对了的人 */
solved: z.number().int().nonnegative(),
/** 第一次交就对的人 */
firstTry: z.number().int().nonnegative(),
submissions: z.number().int().nonnegative(),
/** 做对的人占全班几成(整数百分比),比输赢就比它 */
percent: z.number().int().nonnegative(),
/** 一次就对:交过的人里第一次交就对的占几成 */
firstPercent: z.number().int().nonnegative(),
/** 这道题做得最好的班(一样多就都算) */
best: z.boolean(),
})
export const classPkProblemSchema = z.object({
problemId: z.number().int(),
displayId: z.string(),
title: z.string(),
/** 和 `classes` 一一对应;null = 这个班没布置 */
cells: z.array(classPkCellSchema.nullable()),
})
export const classPkClassSchema = z.object({
className: z.string(),
members: z.number().int().nonnegative(),
/** 这段时间人均做对(这道题第一次做对落在这段时间里) */
perCapita: z.number(),
/** 中间那位同学做对几道 */
median: z.number(),
solvedMembers: z.number().int().nonnegative(),
/** 这段时间交过的题里第一次交就对的比例(整数百分比);一道没交过为 null */
firstPercent: z.number().int().nonnegative().nullable(),
/** 同一批题里做得最好(含并列)的有几道 */
lead: z.number().int().nonnegative(),
/** 班级对抗里第几;这学期还没做对过题的班没有名次 */
battleRank: z.number().int().positive().nullable(),
/** 每个同学这段时间做对几道 */
distribution: z.array(z.number().int().nonnegative()),
/** 这学期每周人均新做对,和 `weeks` 一一对应(不随「这周 / 这学期」变) */
weekly: z.array(z.number()),
})
export const classPkSchema = z.object({
period: classPkPeriodSchema,
start: z.string(),
/** 这学期每周的周一零点(东八区),赛跑和每周人均的横轴 */
weeks: z.array(z.string()),
classes: z.array(classPkClassSchema),
/** 看的人自己的班(学生);老师和没班级的为 null */
mine: z.string().nullable(),
/** 至少两个班布置过的题,按题号 */
problems: z.array(classPkProblemSchema),
/** 只有一个班布置过的题:不比,只列出来 */
solo: z.array(
z.object({
problemId: z.number().int(),
displayId: z.string(),
title: z.string(),
className: z.string(),
}),
),
})
export type ClassPkPeriod = z.infer<typeof classPkPeriodSchema>
export type ClassPkCell = z.infer<typeof classPkCellSchema>
export type ClassPkProblem = z.infer<typeof classPkProblemSchema>
export type ClassPkClass = z.infer<typeof classPkClassSchema>
export type ClassPk = z.infer<typeof classPkSchema>