feat: add student tiles to dashboard

apps/api/src/ai/ai-practice.queue.service.ts

@@ -0,0 +1,27 @@
+import { Injectable } from "@nestjs/common";
+
+import { QUEUE_NAMES, QueueService } from "src/queue";
+
+import type { Job } from "bullmq";
+import type { AiMentorPracticeJobData } from "src/ai/ai-practice.types";
+
+export const AI_MENTOR_PRACTICE_JOB_NAME = "generate-ai-mentor-practice";
+
+@Injectable()
+export class AiPracticeQueueService {
+  constructor(private readonly queueService: QueueService) {}
+
+  enqueue(data: AiMentorPracticeJobData): Promise<Job<AiMentorPracticeJobData>> {
+    return this.queueService.enqueue(
+      QUEUE_NAMES.AI_MENTOR_PRACTICE,
+      AI_MENTOR_PRACTICE_JOB_NAME,
+      data,
+      {
+        attempts: 3,
+        backoff: { type: "exponential", delay: 1000 },
+        removeOnComplete: true,
+        removeOnFail: false,
+      },
+    );
+  }
+}

apps/api/src/ai/ai-practice.schema.ts

@@ -0,0 +1,36 @@
+import { SUPPORTED_LANGUAGES } from "@repo/shared";
+import { Type, type Static } from "@sinclair/typebox";
+
+import { AI_MENTOR_PRACTICE_STATUSES } from "src/ai/ai-practice.types";
+import { responseAiJudgeJudgementSchema } from "src/ai/utils/ai.schema";
+import { THREAD_STATUS } from "src/ai/utils/ai.type";
+import { UUIDSchema } from "src/common";
+
+const practiceScenarioSchema = Type.String({ minLength: 1, maxLength: 3000 });
+
+export const createAiMentorPracticeSchema = Type.Object({
+  language: Type.Enum(SUPPORTED_LANGUAGES),
+  scenario: practiceScenarioSchema,
+});
+
+export const aiMentorPracticeSessionSchema = Type.Object({
+  id: UUIDSchema,
+  practiceDate: Type.String(),
+  language: Type.Enum(SUPPORTED_LANGUAGES),
+  title: Type.Union([Type.String(), Type.Null()]),
+  aiMentorName: Type.Union([Type.String(), Type.Null()]),
+  threadId: Type.Union([UUIDSchema, Type.Null()]),
+  threadStatus: Type.Union([Type.Enum(THREAD_STATUS), Type.Null()]),
+  taskGoal: Type.Union([Type.String(), Type.Null()]),
+  evaluation: Type.Union([responseAiJudgeJudgementSchema, Type.Null()]),
+  status: Type.Enum(AI_MENTOR_PRACTICE_STATUSES),
+  errorCode: Type.Union([Type.String(), Type.Null()]),
+});
+
+export const nullableAiMentorPracticeSessionSchema = Type.Union([
+  aiMentorPracticeSessionSchema,
+  Type.Null(),
+]);
+
+export type CreateAiMentorPracticeBody = Static<typeof createAiMentorPracticeSchema>;
+export type AiMentorPracticeSessionResponse = Static<typeof aiMentorPracticeSessionSchema>;

apps/api/src/ai/ai-practice.types.ts

@@ -0,0 +1,50 @@
+import type { LocalizedText, SupportedLanguages } from "@repo/shared";
+import type { SQL } from "drizzle-orm";
+import type { UUIDType } from "src/common";
+import type {
+  aiJudgeBlockingErrors,
+  aiJudgeConfigurations,
+  aiJudgeCriteria,
+  aiJudgeScoreGuidance,
+} from "src/storage/schema";
+
+export { AI_MENTOR_PRACTICE_STATUSES } from "@repo/shared";
+export type { AiMentorPracticeStatus } from "@repo/shared";
+
+export type AiMentorPracticeJobData = {
+  tenantId: UUIDType;
+  sessionId: UUIDType;
+};
+
+export type AiMentorPracticeGenerationInput = {
+  scenario: string;
+  language: SupportedLanguages;
+};
+
+export type AiPracticeJudgeConfigurationGraph = {
+  configuration: Omit<
+    typeof aiJudgeConfigurations.$inferInsert,
+    "id" | "tenantId" | "practiceSessionId" | "taskGoal"
+  > & {
+    id: UUIDType;
+    practiceSessionId: UUIDType;
+    taskGoal: LocalizedText | SQL<unknown>;
+  };
+  criteria: Array<
+    Omit<typeof aiJudgeCriteria.$inferInsert, "title" | "expectedBehavior"> & {
+      title?: LocalizedText | SQL<unknown>;
+      expectedBehavior?: LocalizedText | SQL<unknown>;
+    }
+  >;
+  scoreGuidance: Array<
+    Omit<typeof aiJudgeScoreGuidance.$inferInsert, "description" | "example"> & {
+      description?: LocalizedText | SQL<unknown>;
+      example?: LocalizedText | SQL<unknown> | null;
+    }
+  >;
+  blockingErrors: Array<
+    Omit<typeof aiJudgeBlockingErrors.$inferInsert, "description"> & {
+      description?: LocalizedText | SQL<unknown>;
+    }
+  >;
+};

apps/api/src/ai/ai-practice.worker.ts

@@ -0,0 +1,52 @@
+import {
+  Injectable,
+  InternalServerErrorException,
+  Logger,
+  type OnModuleDestroy,
+} from "@nestjs/common";
+import { Worker } from "bullmq";
+
+import { AI_MENTOR_PRACTICE_JOB_NAME } from "src/ai/ai-practice.queue.service";
+import { AiPracticeService } from "src/ai/services/ai-practice.service";
+import { QUEUE_NAMES, QueueService } from "src/queue";
+import { TenantDbRunnerService } from "src/storage/db/tenant-db-runner.service";
+
+import type { Job } from "bullmq";
+import type { AiMentorPracticeJobData } from "src/ai/ai-practice.types";
+
+@Injectable()
+export class AiPracticeWorker implements OnModuleDestroy {
+  private readonly logger = new Logger(AiPracticeWorker.name);
+  private readonly worker: Worker<AiMentorPracticeJobData>;
+
+  constructor(
+    private readonly queueService: QueueService,
+    private readonly practiceService: AiPracticeService,
+    private readonly tenantRunner: TenantDbRunnerService,
+  ) {
+    this.worker = new Worker<AiMentorPracticeJobData>(
+      QUEUE_NAMES.AI_MENTOR_PRACTICE,
+      (job) => this.process(job),
+      {
+        connection: this.queueService.getConnection(),
+        concurrency: Number(process.env.AI_MENTOR_PRACTICE_WORKER_CONCURRENCY || 2),
+      },
+    );
+    this.worker.on("failed", (job, error) => {
+      this.logger.error(`AI Mentor practice job ${job?.id} failed: ${error.message}`);
+    });
+  }
+
+  private async process(job: Job<AiMentorPracticeJobData>) {
+    if (job.name !== AI_MENTOR_PRACTICE_JOB_NAME)
+      throw new InternalServerErrorException(`Unexpected AI practice job name: ${job.name}`);
+
+    await this.tenantRunner.runWithTenant(job.data.tenantId, () =>
+      this.practiceService.processGenerationJob(job.data),
+    );
+  }
+
+  async onModuleDestroy() {
+    await this.worker.close();
+  }
+}

apps/api/src/ai/ai.controller.ts

@@ -4,6 +4,13 @@ import { Type } from "@sinclair/typebox";
 import { Response } from "express";
 import { Validate } from "nestjs-typebox";
 
+import {
+  aiMentorPracticeSessionSchema,
+  createAiMentorPracticeSchema,
+  nullableAiMentorPracticeSessionSchema,
+  type CreateAiMentorPracticeBody,
+} from "src/ai/ai-practice.schema";
+import { AiPracticeService } from "src/ai/services/ai-practice.service";
 import { AiService } from "src/ai/services/ai.service";
 import { ThreadService } from "src/ai/services/thread.service";
 import { loadAiSdk } from "src/ai/utils/ai-esm";
@@ -18,7 +25,7 @@ import {
   streamChatSchema,
 } from "src/ai/utils/ai.schema";
 import { OPENAI_MODELS } from "src/ai/utils/ai.type";
-import { type BaseResponse, baseResponse, UUIDSchema, UUIDType } from "src/common";
+import { BaseResponse, baseResponse, UUIDSchema, UUIDType } from "src/common";
 import { RequirePermission } from "src/common/decorators/require-permission.decorator";
 import { CurrentUser } from "src/common/decorators/user.decorator";
 import { CurrentUserType } from "src/common/types/current-user.type";
@@ -28,8 +35,61 @@ export class AiController {
   constructor(
     private readonly threadService: ThreadService,
     private readonly aiService: AiService,
+    private readonly aiPracticeService: AiPracticeService,
   ) {}
 
+  @Get("practice/today")
+  @RequirePermission(PERMISSIONS.AI_USE)
+  @Validate({
+    response: baseResponse(nullableAiMentorPracticeSessionSchema),
+  })
+  async getTodayPractice(@CurrentUser() currentUser: CurrentUserType) {
+    return new BaseResponse(await this.aiPracticeService.getToday(currentUser));
+  }
+
+  @Post("practice")
+  @RequirePermission(PERMISSIONS.AI_USE)
+  @Validate({
+    request: [{ type: "body", schema: createAiMentorPracticeSchema }],
+    response: baseResponse(aiMentorPracticeSessionSchema),
+  })
+  async createPractice(
+    @Body() body: CreateAiMentorPracticeBody,
+    @CurrentUser() currentUser: CurrentUserType,
+  ) {
+    return new BaseResponse(await this.aiPracticeService.create(body, currentUser));
+  }
+
+  @Get("practice/:id")
+  @RequirePermission(PERMISSIONS.AI_USE)
+  @Validate({
+    request: [{ type: "param", name: "id", schema: UUIDSchema }],
+    response: baseResponse(aiMentorPracticeSessionSchema),
+  })
+  async getPractice(@Param("id") id: UUIDType, @CurrentUser() currentUser: CurrentUserType) {
+    return new BaseResponse(await this.aiPracticeService.getById(id, currentUser));
+  }
+
+  @Post("practice/:id/retry")
+  @RequirePermission(PERMISSIONS.AI_USE)
+  @Validate({
+    request: [{ type: "param", name: "id", schema: UUIDSchema }],
+    response: baseResponse(aiMentorPracticeSessionSchema),
+  })
+  async retryPractice(@Param("id") id: UUIDType, @CurrentUser() currentUser: CurrentUserType) {
+    return new BaseResponse(await this.aiPracticeService.retry(id, currentUser));
+  }
+
+  @Post("practice/:id/replay")
+  @RequirePermission(PERMISSIONS.AI_USE)
+  @Validate({
+    request: [{ type: "param", name: "id", schema: UUIDSchema }],
+    response: baseResponse(aiMentorPracticeSessionSchema),
+  })
+  async replayPractice(@Param("id") id: UUIDType, @CurrentUser() currentUser: CurrentUserType) {
+    return new BaseResponse(await this.aiPracticeService.replay(id, currentUser));
+  }
+
   @Get("thread")
   @RequirePermission(PERMISSIONS.AI_USE)
   @Validate({

apps/api/src/ai/ai.module.ts

@@ -1,11 +1,16 @@
 import { Module } from "@nestjs/common";
 
+import { AiPracticeQueueService } from "src/ai/ai-practice.queue.service";
+import { AiPracticeWorker } from "src/ai/ai-practice.worker";
 import { AiController } from "src/ai/ai.controller";
 import { AiJudgeConfigurationGenerationWorkflowService } from "src/ai/judge-configuration-generation/services/ai-judge-configuration-generation-workflow.service";
 import { AiJudgeConfigurationGeneratorService } from "src/ai/judge-configuration-generation/services/ai-judge-configuration-generator.service";
 import { AiJudgeConfigurationValidatorService } from "src/ai/judge-configuration-generation/services/ai-judge-configuration-validator.service";
 import { AiRepository } from "src/ai/repositories/ai.repository";
 import { RagRepository } from "src/ai/repositories/rag.repository";
+import { AiPracticeContentGeneratorService } from "src/ai/services/ai-practice-content-generator.service";
+import { AiPracticeJudgeConfigurationService } from "src/ai/services/ai-practice-judge-configuration.service";
+import { AiPracticeService } from "src/ai/services/ai-practice.service";
 import { AiRuntimeService } from "src/ai/services/ai-runtime.service";
 import { AiService } from "src/ai/services/ai.service";
 import { ChatService } from "src/ai/services/chat.service";
@@ -27,6 +32,8 @@ import { StudentLessonProgressModule } from "src/studentLessonProgress/studentLe
     AiJudgeConfigurationGeneratorService,
     AiJudgeConfigurationGenerationWorkflowService,
     AiJudgeConfigurationValidatorService,
+    AiPracticeJudgeConfigurationService,
+    AiPracticeContentGeneratorService,
     ChatService,
     AiRuntimeService,
     AiService,
@@ -39,6 +46,9 @@ import { StudentLessonProgressModule } from "src/studentLessonProgress/studentLe
     SummaryService,
     RagService,
     RagRepository,
+    AiPracticeService,
+    AiPracticeQueueService,
+    AiPracticeWorker,
   ],
   exports: [
     AiJudgeConfigurationGenerationWorkflowService,