yuetsh
47d8f46bdb
Some checks failed
Deploy / deploy (push) Has been cancelled
AI 时代 OJ 设计的 2a：先把现有提示记下来，为后面的分级和两段式诊断攒对照数据。
提示本身的行为不变，发给模型的 prompt 一字未改。
- 迁移 0017 建 ai_hint：模型、prompt 版本、内容、错误、耗时、学生评价；
成功和失败都记（失败率是 AI 悄悄变差时最先动的数）。挂在 submission 上 CASCADE
- streamChat 第三个参数改成 { onComplete, onError }：onComplete 的返回值并进
done 事件，提示 id 由此带回前端；班级学情分析那处调用同步改写，行为不变
- 落库失败只记日志，不影响学生拿到提示
- 新增 POST /ai/hint/:id/feedback：只能评自己的提示（别人的一律 404），可以改票
- 前端提示生成完出「有帮助 / 没帮助」，选中的高亮；后端没存上时不出按钮
- 实跑：本地假 LLM 验证成功 / provider 断开 / 缺 AI_KEY 三条路径的落库，
评价接口六种请求，浏览器里按钮出现、改票、重复点不发请求
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
1449 lines
54 KiB
TypeScript
1449 lines
54 KiB
TypeScript
// 本文件由 `drizzle-kit pull` 从生产库自动生成，之后按下面几条手工维护。
|
||
//
|
||
// 2026-08-26：旧 Django 后端下线，7 张框架表（auth_group、auth_group_permissions、
|
||
// auth_permission、django_content_type、django_dramatiq_task、django_migrations、
|
||
// django_session）已由 0002_drop_django_leftovers 删除，drizzle.config.ts 的
|
||
// tablesFilter 随之移除。库里现在就是这 27 张业务表。
|
||
//
|
||
// 2026-09-02：又清了一批只有 Django 时代写过、OJ2 一次都没读过的列 ——
|
||
// 0008 删比赛 IP 白名单与 submission.ip（判题机的 judge_server.ip 保留，那是运维数据），
|
||
// 0009 删 user 的 auth_token / open_api / open_api_appkey / session_keys 和
|
||
// user_profile 的 blog / github / school / major / language。**删的判据是「全仓零读取」**，
|
||
// 不是「看着没用」：raw_password 同样刺眼却是在用的（老师要能查学生密码），别一起清掉。
|
||
//
|
||
// 手工修正（都是 `pull` 自己没法无损 round-trip 的地方，改回去会让 generate 产生假 diff，
|
||
// 详见 CLAUDE.md「改 schema 走 drizzle migration」）：
|
||
// * bigint identity 的 maxValue 用字符串，不能写成 JS number 字面量（会丢精度）。
|
||
// * 索引不写 `.desc()`，生成 SQL 时方向会被丢掉。
|
||
// * `.$type<...>()` 的收窄（见下）—— `pull` 只会吐出 text/integer/jsonb，重新 pull
|
||
// 会把这些断言全抹掉，之后出参的 `satisfies` 会当场编译不过（这是好事，别拿
|
||
// `as` 糊过去，把断言补回来）。
|
||
//
|
||
// 2026-09-10：出参不再 `xxxSchema.parse()` 而是 `satisfies`（原来 136 处），
|
||
// 收窄的责任因此挪到了列上：枚举型的列和几个形状确定的 JSONB 都挂了 `.$type<>()`。
|
||
// `$type` 只是 TS 层的断言、不产生任何 SQL，所以它成立与否得靠数据说话 ——
|
||
// 下面每一处都拿根目录那份生产备份逐列核过（12.4 万条提交的 result 全在 -2..6,10、
|
||
// 961 道题的 languages 全是合法数组、10050 条榜单条目形状全对，无一例外）。
|
||
// **再给别的列加 $type 之前，照样先核一遍全量数据。** 兑现这些断言的是写入侧的
|
||
// `safeParse`，不是读出侧。前因后果见 CLAUDE.md「出参不 `parse`，用 `satisfies`」。
|
||
//
|
||
// 关于 10 张表的 bigint id（problemset*、achievement、user_achievement、user_stat、
|
||
// user_badge、ai_analysis）：这是历史巧合不是设计——这些 app 的 0001_initial 生成时
|
||
// Django 还没设 DEFAULT_AUTO_FIELD，用了 3.2+ 的默认 BigAutoField；更早的表（user、
|
||
// problem、contest、submission）都是 int4。现存最大 id 一万出头，确实都用不上 bigint，
|
||
// 但 2026-08-26 评估后决定**不改**：省 4 字节/行毫无意义，ALTER TYPE 要重写整表并拿
|
||
// ACCESS EXCLUSIVE 锁，而且其中 6 处 id 被外键绑着得连坐。别再提这件事了。
|
||
import type {
|
||
AchievementOperator,
|
||
AchievementRarity,
|
||
AdminType,
|
||
AstRules,
|
||
BadgeConditionType,
|
||
ContestSubmissionInfo,
|
||
ExerciseType,
|
||
FlowchartStatus,
|
||
JudgeStatus,
|
||
ProblemDifficulty,
|
||
ProblemLanguage,
|
||
ProblemPermission,
|
||
ProblemSetDifficulty,
|
||
ProblemSetStatus,
|
||
ReactionKey,
|
||
SqlConfig,
|
||
SqlDisplay,
|
||
TutorialType,
|
||
} from "@oj2/contract"
|
||
import {
|
||
pgTable,
|
||
index,
|
||
foreignKey,
|
||
primaryKey,
|
||
bigint,
|
||
text,
|
||
jsonb,
|
||
timestamp,
|
||
integer,
|
||
boolean,
|
||
serial,
|
||
doublePrecision,
|
||
varchar,
|
||
unique,
|
||
uniqueIndex,
|
||
} from "drizzle-orm/pg-core"
|
||
import { sql } from "drizzle-orm"
|
||
|
||
export const aiAnalysis = pgTable(
|
||
"ai_analysis",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "ai_analysis_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
provider: text().notNull(),
|
||
data: jsonb().notNull(),
|
||
systemPrompt: text("system_prompt").notNull(),
|
||
userPrompt: text("user_prompt").notNull(),
|
||
analysis: text().notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
model: text().notNull(),
|
||
isPinned: boolean("is_pinned").notNull(),
|
||
},
|
||
(table) => [
|
||
index("ai_analysis_user_id_3aa23011").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "ai_analysis_user_id_3aa23011_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const announcement = pgTable(
|
||
"announcement",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
title: text().notNull(),
|
||
content: text().notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastUpdateTime: timestamp("last_update_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
visible: boolean().notNull(),
|
||
createdById: integer("created_by_id").notNull(),
|
||
tag: text().notNull(),
|
||
top: boolean().notNull(),
|
||
},
|
||
(table) => [
|
||
index("announcement_created_by_id_359ccf50").using(
|
||
"btree",
|
||
table.createdById.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
// 不写 .op()：opclass 会吞掉方向（见 CLAUDE.md）。生产库是 (visible, top DESC, create_time DESC)，
|
||
// 写了 .op() 的话 generate 出来的是全 ASC，schema.ts 就和真实库对不上了。
|
||
index("announcement_list_idx").using(
|
||
"btree",
|
||
table.visible.asc().nullsLast(),
|
||
table.top.desc().nullsFirst(),
|
||
table.createTime.desc().nullsFirst(),
|
||
),
|
||
foreignKey({
|
||
columns: [table.createdById],
|
||
foreignColumns: [user.id],
|
||
name: "announcement_created_by_id_359ccf50_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const achievement = pgTable("achievement", {
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "achievement_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
name: text().notNull(),
|
||
description: text().notNull(),
|
||
icon: text().notNull(),
|
||
rarity: text().notNull().$type<AchievementRarity>(),
|
||
hidden: boolean().default(false).notNull(),
|
||
metric: text().notNull(),
|
||
operator: text().notNull().$type<AchievementOperator>(),
|
||
threshold: integer().notNull(),
|
||
visible: boolean().default(true).notNull(),
|
||
unlockCount: integer("unlock_count").default(0).notNull(),
|
||
order: integer().default(0).notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
})
|
||
|
||
export const contest = pgTable(
|
||
"contest",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
title: text().notNull(),
|
||
description: text().notNull(),
|
||
password: text(),
|
||
startTime: timestamp("start_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
endTime: timestamp("end_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastUpdateTime: timestamp("last_update_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
visible: boolean().notNull(),
|
||
createdById: integer("created_by_id").notNull(),
|
||
tag: text().notNull(),
|
||
},
|
||
(table) => [
|
||
index("contest_created_by_id_a763ca7e").using(
|
||
"btree",
|
||
table.createdById.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.createdById],
|
||
foreignColumns: [user.id],
|
||
name: "contest_created_by_id_a763ca7e_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const flowchartSubmission = pgTable(
|
||
"flowchart_submission",
|
||
{
|
||
id: text().primaryKey().notNull(),
|
||
mermaidCode: text("mermaid_code").notNull(),
|
||
flowchartData: jsonb("flowchart_data").notNull(),
|
||
status: integer().notNull().$type<FlowchartStatus>(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
aiScore: doublePrecision("ai_score"),
|
||
aiGrade: varchar("ai_grade", { length: 10 }),
|
||
aiFeedback: text("ai_feedback"),
|
||
aiSuggestions: text("ai_suggestions"),
|
||
aiCriteriaDetails: jsonb("ai_criteria_details").notNull(),
|
||
aiProvider: varchar("ai_provider", { length: 50 }).notNull(),
|
||
aiModel: varchar("ai_model", { length: 50 }).notNull(),
|
||
processingTime: doublePrecision("processing_time"),
|
||
evaluationTime: timestamp("evaluation_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}),
|
||
problemId: integer("problem_id").notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("flowchart_problem_time_idx").using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast().op("int4_ops"),
|
||
table.createTime.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("flowchart_status_idx").using(
|
||
"btree",
|
||
table.status.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
// 流程图列表分页。原来是 hash join 全表再 top-N 排序（4.5ms / 551 buffers），
|
||
// 走这条之后 0.19ms / 47。绝对值不大，但索引只要 64kB，而这张表每行带一大坨
|
||
// jsonb，行数涨上去是线性恶化的。ASC 反向扫，理由同 submission 那几条。
|
||
index("flowchart_create_time_idx").using(
|
||
"btree",
|
||
table.createTime.asc().nullsLast(),
|
||
),
|
||
index("flowchart_user_time_idx").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
table.createTime.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "flowchart_submission_problem_id_8551edbf_fk_problem_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "flowchart_submission_user_id_225c83e8_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const message = pgTable(
|
||
"message",
|
||
{
|
||
id: integer().primaryKey().generatedByDefaultAsIdentity({
|
||
name: "message_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: 2147483647,
|
||
cache: 1,
|
||
}),
|
||
message: text().notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
recipientId: integer("recipient_id").notNull(),
|
||
senderId: integer("sender_id").notNull(),
|
||
submissionId: text("submission_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("message_recipient_time_idx").using(
|
||
"btree",
|
||
table.recipientId.asc().nullsLast().op("timestamptz_ops"),
|
||
table.createTime.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("message_sender_id_a2a2e825").using(
|
||
"btree",
|
||
table.senderId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("message_submission_id_2fdf8a47").using(
|
||
"btree",
|
||
table.submissionId.asc().nullsLast().op("text_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.recipientId],
|
||
foreignColumns: [user.id],
|
||
name: "message_recipient_id_2aa5dd76_fk_user_id",
|
||
}),
|
||
foreignKey({
|
||
columns: [table.senderId],
|
||
foreignColumns: [user.id],
|
||
name: "message_sender_id_a2a2e825_fk_user_id",
|
||
}),
|
||
foreignKey({
|
||
columns: [table.submissionId],
|
||
foreignColumns: [submission.id],
|
||
name: "message_submission_id_2fdf8a47_fk_submission_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
export const judgeServer = pgTable("judge_server", {
|
||
id: serial().primaryKey().notNull(),
|
||
hostname: text().notNull(),
|
||
ip: text(),
|
||
judgerVersion: text("judger_version").notNull(),
|
||
cpuCore: integer("cpu_core").notNull(),
|
||
memoryUsage: doublePrecision("memory_usage").notNull(),
|
||
cpuUsage: doublePrecision("cpu_usage").notNull(),
|
||
lastHeartbeat: timestamp("last_heartbeat", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
taskNumber: integer("task_number").notNull(),
|
||
serviceUrl: text("service_url"),
|
||
isDisabled: boolean("is_disabled").notNull(),
|
||
})
|
||
|
||
export const exercise = pgTable(
|
||
"exercise",
|
||
{
|
||
id: integer().primaryKey().generatedByDefaultAsIdentity({
|
||
name: "exercise_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: 2147483647,
|
||
cache: 1,
|
||
}),
|
||
type: varchar({ length: 16 }).notNull().$type<ExerciseType>(),
|
||
data: jsonb().notNull(),
|
||
order: integer().notNull(),
|
||
createdAt: timestamp("created_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
tutorialId: integer("tutorial_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("exercise_tutorial_id_6fd04055").using(
|
||
"btree",
|
||
table.tutorialId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.tutorialId],
|
||
foreignColumns: [tutorial.id],
|
||
name: "exercise_tutorial_id_6fd04055_fk_tutorial_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
export const optionsSysoptions = pgTable(
|
||
"options_sysoptions",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
key: text().notNull(),
|
||
value: jsonb().notNull(),
|
||
},
|
||
(table) => [unique("options_sysoptions_key_key").on(table.key)],
|
||
)
|
||
|
||
export const problemset = pgTable(
|
||
"problemset",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "problemset_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
title: text().notNull(),
|
||
description: text().notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastUpdateTime: timestamp("last_update_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
visible: boolean().notNull(),
|
||
difficulty: text().notNull().$type<ProblemSetDifficulty>(),
|
||
status: text().notNull().$type<ProblemSetStatus>(),
|
||
createdById: integer("created_by_id").notNull(),
|
||
endTime: timestamp("end_time", { withTimezone: true, mode: "string" }),
|
||
},
|
||
(table) => [
|
||
index("problemset_created_by_id_01b5197f").using(
|
||
"btree",
|
||
table.createdById.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.createdById],
|
||
foreignColumns: [user.id],
|
||
name: "problemset_created_by_id_01b5197f_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const problemsetProblem = pgTable(
|
||
"problemset_problem",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "problemset_problem_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
order: integer().notNull(),
|
||
isRequired: boolean("is_required").notNull(),
|
||
score: integer().notNull(),
|
||
hint: text(),
|
||
problemId: integer("problem_id").notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
problemsetId: bigint("problemset_id", { mode: "number" }).notNull(),
|
||
},
|
||
(table) => [
|
||
index("problemset_problem_problem_id_fff2d686").using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "problemset_problem_problem_id_fff2d686_fk_problem_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.problemsetId],
|
||
foreignColumns: [problemset.id],
|
||
name: "problemset_problem_problemset_id_350d17fb_fk_problemset_id",
|
||
}).onDelete("cascade"),
|
||
unique("unique_problemset_problem").on(table.problemId, table.problemsetId),
|
||
],
|
||
)
|
||
|
||
export const problemsetProgress = pgTable(
|
||
"problemset_progress",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "problemset_progress_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
joinTime: timestamp("join_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
completeTime: timestamp("complete_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}),
|
||
isCompleted: boolean("is_completed").notNull(),
|
||
progressPercentage: doublePrecision("progress_percentage").notNull(),
|
||
completedProblemsCount: integer("completed_problems_count").notNull(),
|
||
totalProblemsCount: integer("total_problems_count").notNull(),
|
||
totalScore: integer("total_score").notNull(),
|
||
progressDetail: jsonb("progress_detail").notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
problemsetId: bigint("problemset_id", { mode: "number" }).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("problemset_progress_user_id_c8041a80").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemsetId],
|
||
foreignColumns: [problemset.id],
|
||
name: "problemset_progress_problemset_id_20a9632e_fk_problemset_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "problemset_progress_user_id_c8041a80_fk_user_id",
|
||
}),
|
||
unique("unique_problemset_progress_user").on(
|
||
table.problemsetId,
|
||
table.userId,
|
||
),
|
||
],
|
||
)
|
||
|
||
export const problemsetSubmission = pgTable(
|
||
"problemset_submission",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "problemset_submission_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
problemId: integer("problem_id").notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
problemsetId: bigint("problemset_id", { mode: "number" }).notNull(),
|
||
submissionId: text("submission_id").notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("problemset__problem_1f39fa_idx").using(
|
||
"btree",
|
||
table.problemsetId.asc().nullsLast().op("int4_ops"),
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("problemset__problem_22f053_idx").using(
|
||
"btree",
|
||
table.problemsetId.asc().nullsLast().op("int8_ops"),
|
||
table.problemId.asc().nullsLast().op("int8_ops"),
|
||
),
|
||
index("problemset__user_id_2f1501_idx").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("problemset_submission_problem_id_5629b105").using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("problemset_submission_submission_id_78e2b807").using(
|
||
"btree",
|
||
table.submissionId.asc().nullsLast().op("text_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "problemset_submission_problem_id_5629b105_fk_problem_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.problemsetId],
|
||
foreignColumns: [problemset.id],
|
||
name: "problemset_submission_problemset_id_85290e17_fk_problemset_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.submissionId],
|
||
foreignColumns: [submission.id],
|
||
name: "problemset_submission_submission_id_78e2b807_fk_submission_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "problemset_submission_user_id_915fc9c6_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const reaction = pgTable(
|
||
"reaction",
|
||
{
|
||
id: integer().primaryKey().generatedByDefaultAsIdentity({
|
||
name: "reaction_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: 2147483647,
|
||
cache: 1,
|
||
}),
|
||
type: varchar({ length: 20 }).notNull().$type<ReactionKey>(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
problemId: integer("problem_id").notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("reaction_problem_type_idx").using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast().op("int4_ops"),
|
||
table.type.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("reaction_user_id_cfa7f469").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "reaction_problem_id_a7f3b9f3_fk_problem_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "reaction_user_id_cfa7f469_fk_user_id",
|
||
}),
|
||
unique("reaction_problem_user_unique").on(table.problemId, table.userId),
|
||
],
|
||
)
|
||
|
||
export const problem = pgTable(
|
||
"problem",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
title: text().notNull(),
|
||
description: text().notNull(),
|
||
inputDescription: text("input_description").notNull(),
|
||
outputDescription: text("output_description").notNull(),
|
||
samples: jsonb().notNull(),
|
||
testCaseId: text("test_case_id").notNull(),
|
||
testCaseScore: jsonb("test_case_score").notNull(),
|
||
hint: text(),
|
||
languages: jsonb().notNull().$type<ProblemLanguage[]>(),
|
||
template: jsonb().notNull().$type<Record<string, string>>(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastUpdateTime: timestamp("last_update_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}),
|
||
timeLimit: integer("time_limit").notNull(),
|
||
memoryLimit: integer("memory_limit").notNull(),
|
||
visible: boolean().default(true).notNull(),
|
||
difficulty: text().notNull().$type<ProblemDifficulty>(),
|
||
source: text(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
submissionNumber: bigint("submission_number", { mode: "number" })
|
||
.default(0)
|
||
.notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
acceptedNumber: bigint("accepted_number", { mode: "number" })
|
||
.default(0)
|
||
.notNull(),
|
||
createdById: integer("created_by_id").notNull(),
|
||
displayId: text("_id").notNull(),
|
||
statisticInfo: jsonb("statistic_info").default({}).notNull(),
|
||
contestId: integer("contest_id"),
|
||
isPublic: boolean("is_public").default(false).notNull(),
|
||
/**
|
||
* 已停用。「提交互相可见」的两个开关（这个是题目级，submission.shared 是单条级）
|
||
* 连同判定分支一起删掉了：生产库 956 道题里只有 2 道打开过，还都是比赛题
|
||
* （比赛未结束时那条分支根本走不到），出题页也从来没给过开关。
|
||
* 列保留不删：删列是破坏性迁移，而留着不写不读没有任何代价。
|
||
*/
|
||
shareSubmission: boolean("share_submission").default(false).notNull(),
|
||
prompt: text(),
|
||
answers: jsonb(),
|
||
allowFlowchart: boolean("allow_flowchart").default(false).notNull(),
|
||
flowchartData: jsonb("flowchart_data").default({}).notNull(),
|
||
flowchartHint: text("flowchart_hint"),
|
||
mermaidCode: text("mermaid_code"),
|
||
showFlowchart: boolean("show_flowchart").default(false).notNull(),
|
||
astRules: jsonb("ast_rules").$type<AstRules>(),
|
||
sqlConfig: jsonb("sql_config").$type<SqlConfig>(),
|
||
sqlDisplay: jsonb("sql_display").$type<SqlDisplay>(),
|
||
},
|
||
(table) => [
|
||
index("problem_contest_visible_idx").using(
|
||
"btree",
|
||
table.contestId.asc().nullsLast().op("bool_ops"),
|
||
table.visible.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("problem_created_by_id_cb362143").using(
|
||
"btree",
|
||
table.createdById.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("problem_visible_idx").using(
|
||
"btree",
|
||
table.visible.asc().nullsLast().op("bool_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.contestId],
|
||
foreignColumns: [contest.id],
|
||
name: "problem_contest_id_328e013a_fk_contest_id",
|
||
}),
|
||
foreignKey({
|
||
columns: [table.createdById],
|
||
foreignColumns: [user.id],
|
||
name: "problem_created_by_id_cb362143_fk_user_id",
|
||
}),
|
||
unique("unique_problem_id_contest").on(table.displayId, table.contestId),
|
||
],
|
||
)
|
||
|
||
export const problemTags = pgTable(
|
||
"problem_tags",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
problemId: integer("problem_id").notNull(),
|
||
problemtagId: integer("problemtag_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("problem_tags_problemtag_id_72d20571").using(
|
||
"btree",
|
||
table.problemtagId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "problem_tags_problem_id_866ecb8d_fk_problem_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.problemtagId],
|
||
foreignColumns: [problemTag.id],
|
||
name: "problem_tags_problemtag_id_72d20571_fk_problem_tag_id",
|
||
}).onDelete("cascade"),
|
||
unique("problem_tags_problem_id_problemtag_id_318459d1_uniq").on(
|
||
table.problemId,
|
||
table.problemtagId,
|
||
),
|
||
],
|
||
)
|
||
|
||
export const problemTag = pgTable(
|
||
"problem_tag",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
name: text().notNull(),
|
||
},
|
||
(table) => [
|
||
uniqueIndex("problem_tag_name_ci_unique").using("btree", sql`lower(name)`),
|
||
],
|
||
)
|
||
|
||
export const submission = pgTable(
|
||
"submission",
|
||
{
|
||
id: text().primaryKey().notNull(),
|
||
contestId: integer("contest_id"),
|
||
problemId: integer("problem_id").notNull(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
code: text().notNull(),
|
||
result: integer().default(6).notNull().$type<JudgeStatus>(),
|
||
info: jsonb().default({}).notNull(),
|
||
language: text().notNull().$type<ProblemLanguage>(),
|
||
/**
|
||
* 已停用，见 problem.share_submission 的说明。历史上 12.3 万条提交里有 40 条
|
||
* 为真（2022 年 39 条、2023 年 1 条），入口在更早的那版前端上，ojnext 和 OJ2
|
||
* 都没有把它搬过来。现在没有任何代码读写它，行里的历史值原样留着。
|
||
*/
|
||
shared: boolean().default(false).notNull(),
|
||
statisticInfo: jsonb("statistic_info").default({}).notNull(),
|
||
username: text().notNull(),
|
||
// 来源题单：学生从题单入口（/problemset/:id/problem/:pid）提交时记下来，
|
||
// 提交列表据此标出「这条来自题单」。**只是来源标记**，题单进度、奖章一概不看它，
|
||
// 那些由判完之后的 recordSolvedProblem 按「已加入且含这道题的所有题单」记账。
|
||
// 老数据里只有迁移 0007 从 problemset_submission 回填的首次 AC 有值。
|
||
problemsetId: bigint("problemset_id", { mode: "number" }),
|
||
},
|
||
(table) => [
|
||
// 同上，不写 .op()。原先 pull 出来的 opclass 还串了位（contest_id 标成 timestamptz_ops、
|
||
// create_time 标成 int4_ops），那条 SQL 真拿去执行 Postgres 会直接拒绝。
|
||
index("contest_create_time_idx").using(
|
||
"btree",
|
||
table.contestId.asc().nullsLast(),
|
||
table.createTime.desc().nullsFirst(),
|
||
),
|
||
// 提交列表默认视图（WHERE contest_id IS NULL ORDER BY create_time DESC, id DESC）专用。
|
||
// 上面的 contest_create_time_idx 看着能覆盖，但 Postgres 不把 `contest_id IS NULL`
|
||
// 当成能吃掉首列、从而继承第二列有序性的等值条件——把 seqscan/bitmapscan 全关掉逼它
|
||
// 也不肯用，只会走单列 contest_id 索引再全量排序。结果是每翻一页都 Parallel Seq Scan
|
||
// 扫完整张表 + top-N 排序。改用部分索引后谓词由索引本身保证，排序序就是索引序。
|
||
// 生产快照（12.3 万条提交）实测：61.8ms / 18936 blocks → 0.22ms / 34 blocks。
|
||
// 这个索引不在 Django 的 migration 里，是 OJ2 单独加的，见 src/db/0001。
|
||
//
|
||
// 带上 id 是为了让排序成为**全序**，深翻页的游标转换（routes/submission.ts 的
|
||
// paginateSubmissionRows）才精确。create_time 由 `new Date().toISOString()` 生成，
|
||
// 只有毫秒精度，同毫秒的两条提交靠 create_time 分不出先后：游标用 `<=` 回查时，
|
||
// 上一页的末行会重新出现在下一页页首。加上 id 之后两步用的是同一个全序，不会错位。
|
||
// 索引从 2.3MB 涨到 6.9MB，快照实测第一步 5.7ms → 8.9ms，换精确值得。
|
||
//
|
||
// 两列都建成默认的 ASC NULLS LAST，靠 Index Only Scan **Backward** 服务
|
||
// `ORDER BY create_time DESC, id DESC`。别照着 ORDER BY 写成 .desc()：Postgres 里
|
||
// `ORDER BY x DESC` 默认是 NULLS FIRST，而 `CREATE INDEX ... (x DESC)` 默认是
|
||
// NULLS LAST，两边 nulls 位置对不上，规划器就当这条索引出不了序——实测建成
|
||
// DESC NULLS LAST 之后深翻页退化成 external merge sort（5.2MB 落盘），比不建还糟。
|
||
// 两列同为 ASC 时整条索引反着扫就是精确的反序，所以反而是能用的那一种。
|
||
// 这两列都 NOT NULL，nulls 位置在语义上无所谓，纯粹是规划器的匹配规则。
|
||
index("submission_public_create_time_id_idx")
|
||
.using(
|
||
"btree",
|
||
table.createTime.asc().nullsLast(),
|
||
table.id.asc().nullsLast(),
|
||
)
|
||
.where(sql`${table.contestId} is null`),
|
||
/**
|
||
* Django 给每个外键都自动建了一个单列索引，`db_index=True` 的还会多一个
|
||
* `_like`（text_pattern_ops）。0012 把其中 21 个删了 —— 它们的列都是某个
|
||
* 复合索引的**最左前缀**，规划器本来就走那一个，多出来的只是每次写入要多维护
|
||
* 一棵树。这张表上删的三个是 contest_id / problem_id / user_id，分别被下面
|
||
* 的 contest_create_time_idx、problem_user_idx、user_create_time_idx 覆盖。
|
||
*
|
||
* 加新索引时先看一眼有没有现成的复合索引已经以它打头，别把这批又建回来。
|
||
*/
|
||
index("problem_user_idx").using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast().op("int4_ops"),
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
/**
|
||
* `submission_result_37e2f67a` 是 Django 建的单列索引，**别当成被下面
|
||
* submission_result_time_idx 覆盖了就删**：那个是 `WHERE contest_id IS NULL`
|
||
* 的部分索引，管不了「全库含比赛按 result 统计」那类查询（实测删掉之后
|
||
* `count(*) where result in (6,7)` 从走索引掉回 75ms 全表扫）。856kB，留着。
|
||
*/
|
||
index("submission_result_37e2f67a").using(
|
||
"btree",
|
||
table.result.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("user_create_time_idx").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
table.createTime.asc().nullsLast().op("timestamptz_ops"),
|
||
),
|
||
/**
|
||
* 提交列表的「语言」和「结果」两个下拉筛选。原来这两列上要么没索引、要么只有
|
||
* 不带 `contest_id IS NULL` 的单列索引，翻页那条靠 submission_public_create_time_id_idx
|
||
* 边扫边滤还能对付，**count 那条只能全表扫**（快照实测固定 75~82ms / 18448 buffers，
|
||
* 筛什么值都一样）。加完：语言 count 80ms → 11ms（Python3，占 8 成）/ 1.6ms（C），
|
||
* 结果 count 75ms → 2.0ms。
|
||
*
|
||
* 更要命的是冷门语言的**翻页**：Python2 只有 3 条、全是 2022 年的，分页索引得从
|
||
* 最新一路倒扫到底才凑够一页，43ms 全表扫；走这条索引是 0.02ms。
|
||
*
|
||
* 两列都 ASC NULLS LAST，理由同上面 submission_public_create_time_id_idx ——
|
||
* 靠 Index Scan **Backward** 出 `ORDER BY create_time DESC`。这里再实测了一遍：
|
||
* 写成 DESC NULLS LAST 规划器直接不认这条索引，回落到分页索引带 Filter。
|
||
*/
|
||
index("submission_language_time_idx")
|
||
.using(
|
||
"btree",
|
||
table.language.asc().nullsLast(),
|
||
table.createTime.asc().nullsLast(),
|
||
)
|
||
.where(sql`${table.contestId} is null`),
|
||
index("submission_result_time_idx")
|
||
.using(
|
||
"btree",
|
||
table.result.asc().nullsLast(),
|
||
table.createTime.asc().nullsLast(),
|
||
)
|
||
.where(sql`${table.contestId} is null`),
|
||
/**
|
||
* 提交列表的「题号」筛选。路由先把题号解析成 problem.id（见 routes/submission.ts 的
|
||
* problemFilter），这条索引才用得上：等值定位到一道题，剩下两列正好是翻页的全序，
|
||
* 深翻页的游标也照走。列方向同上面几条，全 ASC 靠 Backward 扫。
|
||
*
|
||
* problem_user_idx 以 problem_id 打头，但不带时间：一道题最近几个月没人交的话，
|
||
* 规划器照样选分页索引倒扫、边扫边滤。快照实测 1047（6 月之后没人交）17ms 倒扫
|
||
* 2 万行、3017（最后一次在 2024 年）59ms 倒扫 8.2 万行、不存在的题号扫完全表。
|
||
*/
|
||
index("submission_public_problem_time_idx")
|
||
.using(
|
||
"btree",
|
||
table.problemId.asc().nullsLast(),
|
||
table.createTime.asc().nullsLast(),
|
||
table.id.asc().nullsLast(),
|
||
)
|
||
.where(sql`${table.contestId} is null`),
|
||
/**
|
||
* 提交列表的「用户名」筛选是 `ilike '%x%'`，btree 帮不上，只有 trigram 能索引中缀匹配。
|
||
* 扩展在迁移 0015 里装（官方 postgres 镜像自带 contrib，pg_trgm 是 trusted 扩展）。
|
||
* 3MB。模式不足 3 个字符时 trigram 抽不出东西，照旧全表扫——那种前缀匹配大半张表，
|
||
* 扫表本来就是对的计划。
|
||
*/
|
||
index("submission_public_username_trgm_idx")
|
||
.using("gin", table.username.op("gin_trgm_ops"))
|
||
.where(sql`${table.contestId} is null`),
|
||
/**
|
||
* 覆盖索引，专门给「在全部公开提交上做聚合」那几个接口用：教师统计不填班级、
|
||
* 活跃榜、题目 AC 趋势。它们慢的**不是聚合本身，是为了读这四个小列把 145MB 的堆
|
||
* 翻一遍** —— `code` 和 `info` 占了这张表的绝大部分体积，聚合一列都用不上。
|
||
*
|
||
* 有了它这些查询走 Index Only Scan，只读 6MB。快照实测：
|
||
* 教师统计全站 186ms → 49ms（还消掉了 4.2MB 的落盘排序）、活跃榜 108ms → 18ms、
|
||
* AC 趋势 120ms → 41ms，buffers 一律从 18000+ 掉到 2000 以内。
|
||
*
|
||
* 列序按 user_id 打头：三个查询里两个按人分组，能省掉排序。加列要谨慎 ——
|
||
* 多一列就多一份 10 万行的拷贝，而它的价值全在「窄」上。
|
||
*/
|
||
index("submission_public_metrics_idx")
|
||
.using(
|
||
"btree",
|
||
table.userId.asc().nullsLast(),
|
||
table.problemId.asc().nullsLast(),
|
||
table.result.asc().nullsLast(),
|
||
table.createTime.asc().nullsLast(),
|
||
)
|
||
.where(sql`${table.contestId} is null`),
|
||
foreignKey({
|
||
columns: [table.contestId],
|
||
foreignColumns: [contest.id],
|
||
name: "submission_contest_id_775716d5_fk_contest_id",
|
||
}),
|
||
foreignKey({
|
||
columns: [table.problemId],
|
||
foreignColumns: [problem.id],
|
||
name: "submission_problem_id_76847b55_fk_problem_id",
|
||
}),
|
||
// 部分索引：绝大多数提交不来自题单，全列索引等于给 12 万行白建一遍。
|
||
// 谓词是 IS NOT NULL，`problemset_id = $1` 蕴含非空，所以删题单时的外键检查
|
||
// 也能用上它——不然那条检查要顺序扫全表。
|
||
index("submission_problemset_id_idx")
|
||
.using("btree", table.problemsetId.asc().nullsLast())
|
||
.where(sql`${table.problemsetId} is not null`),
|
||
// 删掉题单不该带走提交：置空来源标记就行，提交本身照旧存在。
|
||
foreignKey({
|
||
columns: [table.problemsetId],
|
||
foreignColumns: [problemset.id],
|
||
name: "submission_problemset_id_fk_problemset_id",
|
||
}).onDelete("set null"),
|
||
],
|
||
)
|
||
|
||
/**
|
||
* 提交时附带的编辑过程信号，和 submission 一对一。字段含义见契约的
|
||
* `submissionTraceSchema`，这里只记表本身的取舍：
|
||
*
|
||
* - **没有行 ≠ 可疑。** 2026-09 之前的全部历史提交、刷新过页面的、老版本前端交的
|
||
* 都没有 trace，用它的地方一律把「缺失」当「无数据」。
|
||
* - 类型化的列而不是一个 jsonb：「可信 AC」和学情热力图要在 SQL 里按这些值筛、聚合。
|
||
* - `since_prev_ms` 是唯一由**服务端**算的一列（距同一用户同一道题上一次提交），
|
||
* 客户端伪造不了；这道题的第一次提交为 null。
|
||
* - CASCADE 挂在 submission 上、不挂 user：它是提交的附属，提交没了它没有意义，
|
||
* 人是谁顺着 submission 就能查到。同表的 message / problemset_submission 也是这一档。
|
||
*/
|
||
export const submissionTrace = pgTable(
|
||
"submission_trace",
|
||
{
|
||
submissionId: text("submission_id").primaryKey().notNull(),
|
||
activeMs: integer("active_ms").notNull(),
|
||
sinceOpenMs: integer("since_open_ms").notNull(),
|
||
typedChars: integer("typed_chars").notNull(),
|
||
pastedChars: integer("pasted_chars").notNull(),
|
||
pasteCount: integer("paste_count").notNull(),
|
||
maxPaste: integer("max_paste").notNull(),
|
||
deletedChars: integer("deleted_chars").notNull(),
|
||
blurCount: integer("blur_count").notNull(),
|
||
initialLen: integer("initial_len").notNull(),
|
||
collab: boolean().notNull(),
|
||
// bigint：int4 的毫秒数只够 24.8 天，隔一个假期回来重交就溢出了
|
||
sincePrevMs: bigint("since_prev_ms", { mode: "number" }),
|
||
},
|
||
(table) => [
|
||
foreignKey({
|
||
columns: [table.submissionId],
|
||
foreignColumns: [submission.id],
|
||
name: "submission_trace_submission_id_fk_submission_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
/**
|
||
* 每一次「让 AI 分析我的代码」（POST /ai/hint）的留痕，连同学生的评价。
|
||
*
|
||
* 在此之前提示一条都没落库，用了多少次、在哪些题上用、用完有没有做出来都无从知道；
|
||
* 之后要做的提示分级、错误归因都得拿这张表做对照。**生成失败的也记**（content 为空、
|
||
* error 有值），失败率是 AI 功能悄悄变差时最先动的那个数。
|
||
*
|
||
* - 不存 prompt 原文：学生代码在 submission 里、题面在 problem 里，重复存一遍没有意义。
|
||
* 存的是 `prompt_version` —— 改 system / prompt 的拼法时在 routes/ai.ts 里加一，
|
||
* 事后才分得清哪批提示是按哪版生成的。
|
||
* - 人和题顺着 submission 查（submission_id 上有索引）。和 submission_trace 一样
|
||
* CASCADE 挂在提交上：提交没了，这条提示也就没有上下文了。
|
||
* - 同一条提交可以有多条：刷新页面之后按钮会重新出现。
|
||
*/
|
||
export const aiHint = pgTable(
|
||
"ai_hint",
|
||
{
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "ai_hint_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
submissionId: text("submission_id").notNull(),
|
||
model: text().notNull(),
|
||
promptVersion: integer("prompt_version").notNull(),
|
||
// 生成失败时为空串，失败原因在 error
|
||
content: text().notNull(),
|
||
error: text(),
|
||
// 从收到请求到生成结束（或失败）的毫秒数
|
||
durationMs: integer("duration_ms").notNull(),
|
||
// 学生的评价：null = 没评
|
||
helpful: boolean(),
|
||
feedbackTime: timestamp("feedback_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
},
|
||
(table) => [
|
||
index("ai_hint_submission_id_idx").on(table.submissionId),
|
||
foreignKey({
|
||
columns: [table.submissionId],
|
||
foreignColumns: [submission.id],
|
||
name: "ai_hint_submission_id_fk_submission_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
export const tutorial = pgTable(
|
||
"tutorial",
|
||
{
|
||
id: integer().primaryKey().generatedByDefaultAsIdentity({
|
||
name: "tutorial_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: 2147483647,
|
||
cache: 1,
|
||
}),
|
||
title: varchar({ length: 128 }).notNull(),
|
||
content: text().notNull(),
|
||
createdAt: timestamp("created_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
updatedAt: timestamp("updated_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
isPublic: boolean("is_public").notNull(),
|
||
order: integer().notNull(),
|
||
createdById: integer("created_by_id").notNull(),
|
||
code: text(),
|
||
type: varchar({ length: 10 }).notNull().$type<TutorialType>(),
|
||
},
|
||
(table) => [
|
||
index("tutorial_created_by_id_07973cab").using(
|
||
"btree",
|
||
table.createdById.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.createdById],
|
||
foreignColumns: [user.id],
|
||
name: "tutorial_created_by_id_07973cab_fk_user_id",
|
||
}),
|
||
],
|
||
)
|
||
|
||
export const userStat = pgTable(
|
||
"user_stat",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "user_stat_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
metrics: jsonb().default({}).notNull(),
|
||
updateTime: timestamp("update_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "user_stat_user_id_73337fc0_fk_user_id",
|
||
}).onDelete("cascade"),
|
||
unique("user_stat_user_id_key").on(table.userId),
|
||
],
|
||
)
|
||
|
||
export const userAchievement = pgTable(
|
||
"user_achievement",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "user_achievement_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
unlockTime: timestamp("unlock_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
backfilled: boolean().default(false).notNull(),
|
||
notified: boolean().default(false).notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
achievementId: bigint("achievement_id", { mode: "number" }).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("user_achievement_achievement_id_29db600d").using(
|
||
"btree",
|
||
table.achievementId.asc().nullsLast().op("int8_ops"),
|
||
),
|
||
index("user_achv_notified_idx").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
table.notified.asc().nullsLast().op("bool_ops"),
|
||
),
|
||
index("user_achv_time_idx").using(
|
||
"btree",
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
table.unlockTime.desc().nullsFirst().op("timestamptz_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.achievementId],
|
||
foreignColumns: [achievement.id],
|
||
name: "user_achievement_achievement_id_29db600d_fk_achievement_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "user_achievement_user_id_b8ec7d6a_fk_user_id",
|
||
}),
|
||
unique("unique_user_achievement").on(table.achievementId, table.userId),
|
||
],
|
||
)
|
||
|
||
export const userBadge = pgTable(
|
||
"user_badge",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "user_badge_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
earnedTime: timestamp("earned_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
badgeId: bigint("badge_id", { mode: "number" }).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("user_badge_badge_id_92a983e9").using(
|
||
"btree",
|
||
table.badgeId.asc().nullsLast().op("int8_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.badgeId],
|
||
foreignColumns: [problemsetBadge.id],
|
||
name: "user_badge_badge_id_92a983e9_fk_problemset_badge_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "user_badge_user_id_a286d718_fk_user_id",
|
||
}),
|
||
unique("unique_user_badge").on(table.badgeId, table.userId),
|
||
],
|
||
)
|
||
|
||
export const userProfile = pgTable(
|
||
"user_profile",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
acmProblemsStatus: jsonb("acm_problems_status")
|
||
.default({})
|
||
.notNull()
|
||
.$type<Record<string, unknown>>(),
|
||
avatar: text().notNull(),
|
||
mood: text(),
|
||
acceptedNumber: integer("accepted_number").default(0).notNull(),
|
||
submissionNumber: integer("submission_number").default(0).notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
realName: text("real_name"),
|
||
},
|
||
(table) => [
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "user_profile_user_id_8fdce8e2_fk_user_id",
|
||
}).onDelete("cascade"),
|
||
unique("user_profile_user_id_key").on(table.userId),
|
||
],
|
||
)
|
||
|
||
export const acmContestRank = pgTable(
|
||
"acm_contest_rank",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
submissionNumber: integer("submission_number").default(0).notNull(),
|
||
acceptedNumber: integer("accepted_number").default(0).notNull(),
|
||
totalTime: integer("total_time").default(0).notNull(),
|
||
submissionInfo: jsonb("submission_info")
|
||
.default({})
|
||
.notNull()
|
||
.$type<Record<string, ContestSubmissionInfo>>(),
|
||
contestId: integer("contest_id").notNull(),
|
||
userId: integer("user_id").notNull(),
|
||
},
|
||
(table) => [
|
||
index("acm_rank_contest_user_idx").using(
|
||
"btree",
|
||
table.contestId.asc().nullsLast().op("int4_ops"),
|
||
table.userId.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
index("acm_rank_order_idx").using(
|
||
"btree",
|
||
table.contestId.asc().nullsLast().op("int4_ops"),
|
||
table.acceptedNumber.asc().nullsLast().op("int4_ops"),
|
||
table.totalTime.asc().nullsLast().op("int4_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.contestId],
|
||
foreignColumns: [contest.id],
|
||
name: "acm_contest_rank_contest_id_21030ccd_fk_contest_id",
|
||
}),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "acm_contest_rank_user_id_40391ab2_fk_user_id",
|
||
}),
|
||
unique("unique_acm_rank_user_contest").on(table.contestId, table.userId),
|
||
],
|
||
)
|
||
|
||
export const user = pgTable(
|
||
"user",
|
||
{
|
||
id: serial().primaryKey().notNull(),
|
||
password: varchar({ length: 128 }).notNull(),
|
||
lastLogin: timestamp("last_login", { withTimezone: true, mode: "string" }),
|
||
username: text().notNull(),
|
||
email: text(),
|
||
createTime: timestamp("create_time", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}),
|
||
// $type 只是 TS 层的收窄，不产生任何 SQL —— 让 eq(schema.user.adminType, "...")
|
||
// 里的角色名也受类型检查。运行时的兜底仍在 auth/session.ts 的 toAdminType。
|
||
adminType: text("admin_type").notNull().$type<AdminType>(),
|
||
isDisabled: boolean("is_disabled").default(false).notNull(),
|
||
problemPermission: text("problem_permission")
|
||
.notNull()
|
||
.$type<ProblemPermission>(),
|
||
rawPassword: varchar("raw_password", { length: 20 }),
|
||
className: text("class_name"),
|
||
},
|
||
(table) => [
|
||
unique("user_username_key").on(table.username),
|
||
// 「近两年登录过的活跃人数」—— problems/:id/beat-count 每次打开题目详情都要算一遍，
|
||
// 而这张表原来只有主键和 username 两个索引，那句统计是全表扫。
|
||
index("user_active_idx").using(
|
||
"btree",
|
||
table.isDisabled.asc().nullsLast(),
|
||
table.lastLogin.desc().nullsFirst(),
|
||
),
|
||
// 按班级 / 按年级（class_name like '241%'）取学生：班级榜、班级对比、AI 学情的
|
||
// 排名 scope 都走它，见 routes/classroom.ts 的 loadClassUsers。
|
||
index("user_class_name_idx").using(
|
||
"btree",
|
||
table.className.asc().nullsLast(),
|
||
),
|
||
],
|
||
)
|
||
|
||
export const problemsetBadge = pgTable(
|
||
"problemset_badge",
|
||
{
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
id: bigint({ mode: "number" }).primaryKey().generatedByDefaultAsIdentity({
|
||
name: "problemset_badge_id_seq",
|
||
startWith: 1,
|
||
increment: 1,
|
||
minValue: 1,
|
||
maxValue: "9223372036854775807",
|
||
cache: 1,
|
||
}),
|
||
name: text().notNull(),
|
||
description: text().notNull(),
|
||
icon: text().notNull(),
|
||
conditionType: text("condition_type").notNull().$type<BadgeConditionType>(),
|
||
conditionValue: integer("condition_value").notNull(),
|
||
// You can use { mode: "bigint" } if numbers are exceeding js number limitations
|
||
problemsetId: bigint("problemset_id", { mode: "number" }).notNull(),
|
||
},
|
||
(table) => [
|
||
index("problemset_badge_problemset_id_6cb6c74f").using(
|
||
"btree",
|
||
table.problemsetId.asc().nullsLast().op("int8_ops"),
|
||
),
|
||
foreignKey({
|
||
columns: [table.problemsetId],
|
||
foreignColumns: [problemset.id],
|
||
name: "problemset_badge_problemset_id_6cb6c74f_fk_problemset_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
/**
|
||
* 自学模块的留痕：一个学生 × 一课一行。
|
||
*
|
||
* OJ2 自己建的表，不是 Django 遗留，所以没有代理主键 —— 写入路径只有一条 upsert，
|
||
* 冲突目标就是 (user_id, tutorial_id)，再挂个 id 序列没有任何用处。
|
||
*
|
||
* **只记「读到哪一课 + 停留多久」，不记练一练的作答。** 练习的对错全在浏览器里判
|
||
* （见 apps/web/src/oj/learn/components/），学生可以随便重试到对为止，上报上来也只是
|
||
* 「他按了几次按钮」，不构成教学证据，还要为此多养一张按人按题膨胀的表。
|
||
*
|
||
* 外键这里**用了库级 CASCADE**，和 Django 建的那些 NO ACTION 外键不同：删教程、删用户
|
||
* 都不必再记得回来手工清一遍子表（后台删教程的事务里就没清它，靠的就是这里）。
|
||
*/
|
||
export const tutorialProgress = pgTable(
|
||
"tutorial_progress",
|
||
{
|
||
userId: integer("user_id").notNull(),
|
||
tutorialId: integer("tutorial_id").notNull(),
|
||
// 打开次数。只有「进入这一课」才 +1，后续补时长的心跳不动它
|
||
viewCount: integer("view_count").default(0).notNull(),
|
||
// 累计停留秒数。前端只在页面可见、且人没挂机时计时，见 useLearnTrace.ts
|
||
totalSeconds: integer("total_seconds").default(0).notNull(),
|
||
firstViewedAt: timestamp("first_viewed_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastViewedAt: timestamp("last_viewed_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
},
|
||
(table) => [
|
||
primaryKey({
|
||
columns: [table.userId, table.tutorialId],
|
||
name: "tutorial_progress_pkey",
|
||
}),
|
||
// 按课汇总（「这一课全班多少人读过」）要扫这一列，主键的前缀索引帮不上忙
|
||
index("tutorial_progress_tutorial_id_idx").on(table.tutorialId),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "tutorial_progress_user_id_fk_user_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.tutorialId],
|
||
foreignColumns: [tutorial.id],
|
||
name: "tutorial_progress_tutorial_id_fk_tutorial_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|
||
|
||
/**
|
||
* 练一练的留痕：一个学生 × 一道练习一行。
|
||
*
|
||
* 存的是**聚合**，不是流水：试了几次、错了几次、做没做对、第几次做对的、
|
||
* 最后一次做错时填的什么。一道题一个学生一行，全校封顶就是「学生数 × 练习数」，
|
||
* 而流水会随着学生反复点「提交」无限长 —— 而且多存的那些行回答不了任何新问题：
|
||
* 「他第 3 次和第 5 次都选了 B」对老师没有意义，「他试了 7 次才对」有。
|
||
*
|
||
* `lastWrongAnswer` 存的是**前端拼好的一句人话**（「选了 A、C」「第 2 空填了 xy」），
|
||
* 不是原始作答结构：七种题型的作答形状各不相同，存结构就得在后台按题型各写一套
|
||
* 渲染，而老师要看的只是「他错在哪」。前端本来就知道怎么把自己的作答说成人话。
|
||
*/
|
||
export const exerciseAttempt = pgTable(
|
||
"exercise_attempt",
|
||
{
|
||
userId: integer("user_id").notNull(),
|
||
exerciseId: integer("exercise_id").notNull(),
|
||
// 提交次数。同一份答案连点两次只算一次，见 ExerciseWidget.vue 的去重
|
||
attempts: integer().default(0).notNull(),
|
||
wrongAttempts: integer("wrong_attempts").default(0).notNull(),
|
||
solved: boolean().default(false).notNull(),
|
||
// 第一次做对时累计试了几次。做对之后就不再变 —— 后面再点提交不该把它改大
|
||
attemptsToSolve: integer("attempts_to_solve"),
|
||
lastWrongAnswer: text("last_wrong_answer"),
|
||
firstAttemptAt: timestamp("first_attempt_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
lastAttemptAt: timestamp("last_attempt_at", {
|
||
withTimezone: true,
|
||
mode: "string",
|
||
}).notNull(),
|
||
solvedAt: timestamp("solved_at", { withTimezone: true, mode: "string" }),
|
||
},
|
||
(table) => [
|
||
primaryKey({
|
||
columns: [table.userId, table.exerciseId],
|
||
name: "exercise_attempt_pkey",
|
||
}),
|
||
// 按题汇总（「这道题全班多少人做对」）要扫这一列
|
||
index("exercise_attempt_exercise_id_idx").on(table.exerciseId),
|
||
foreignKey({
|
||
columns: [table.userId],
|
||
foreignColumns: [user.id],
|
||
name: "exercise_attempt_user_id_fk_user_id",
|
||
}).onDelete("cascade"),
|
||
foreignKey({
|
||
columns: [table.exerciseId],
|
||
foreignColumns: [exercise.id],
|
||
name: "exercise_attempt_exercise_id_fk_exercise_id",
|
||
}).onDelete("cascade"),
|
||
],
|
||
)
|