mirror of
https://github.com/soconnor0919/hristudio.git
synced 2025-12-11 14:44:44 -05:00
Sean O'Connor
18f709f879
• Fix repository sync implementation in admin API (was TODO placeholder) - Add full fetch/parse logic for repository.json and plugin index - Implement robot matching by name/manufacturer patterns - Handle plugin creation/updates with proper error handling - Add comprehensive TypeScript typing throughout • Fix plugin store installation state detection - Add getStudyPlugins API integration to check installed plugins - Update PluginCard component with isInstalled prop and correct button states - Fix repository name display using metadata.repositoryId mapping - Show "Installed" (disabled) vs "Install" (enabled) based on actual state • Resolve admin access and authentication issues - Add missing administrator role to user system roles table - Fix admin route access for repository management - Enable repository sync functionality in admin dashboard • Add repository metadata integration - Update plugin records with proper repositoryId references - Add metadata field to robots.plugins.list API response - Enable repository name display for all plugins from metadata • Fix TypeScript compliance across plugin system - Replace unsafe 'any' types with proper interfaces - Add type definitions for repository and plugin data structures - Use nullish coalescing operators for safer null handling - Remove unnecessary type assertions • Integrate live repository at https://repo.hristudio.com - Successfully loads 3 robot plugins (TurtleBot3 Burger/Waffle, NAO) - Complete ROS2 action definitions with parameter schemas - Trust level categorization (official, verified, community) - Platform and documentation metadata preservation • Update documentation and development workflow - Document plugin repository system in work_in_progress.md - Update quick-reference.md with repository sync examples - Add plugin installation and management guidance - Remove problematic test script with TypeScript errors BREAKING CHANGE: Plugin store now requires repository sync for robot plugins. Run repository sync in admin dashboard after deployment to populate plugin store. Closes: Plugin store repository integration Resolves: Installation state detection and repository name display Fixes: Admin authentication and TypeScript compliance issues
1078 lines
33 KiB
TypeScript
1078 lines
33 KiB
TypeScript
#!/usr/bin/env tsx
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/**
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* HRIStudio Database Seed Script
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*
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* This script seeds the database with comprehensive test data for the experiment designer,
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* including users, studies, experiments, steps, actions, and participants.
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*/
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import { drizzle } from "drizzle-orm/postgres-js";
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import { sql } from "drizzle-orm";
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import postgres from "postgres";
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import * as schema from "../src/server/db/schema";
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// Database connection
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const connectionString =
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process.env.DATABASE_URL ??
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"postgresql://postgres:postgres@localhost:5140/hristudio";
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const client = postgres(connectionString);
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const db = drizzle(client, { schema });
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console.log("🌱 Starting HRIStudio database seeding...");
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async function clearDatabase() {
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console.log("🧹 Clearing existing data...");
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// Delete in reverse dependency order using TRUNCATE for safety
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await db.execute(sql`TRUNCATE TABLE hs_trial_event CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_action CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_step CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_trial CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_participant CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_experiment CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_study_member CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_study CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_user_system_role CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_user CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_robot CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_plugin_repository CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_plugin CASCADE`);
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await db.execute(sql`TRUNCATE TABLE hs_study_plugin CASCADE`);
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console.log("✅ Database cleared");
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}
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async function seedUsers() {
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console.log("👥 Seeding users...");
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const users = [
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{
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id: "01234567-89ab-cdef-0123-456789abcde0",
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name: "Sean O'Connor",
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email: "sean@soconnor.dev",
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emailVerified: new Date(),
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institution: "HRIStudio",
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activeStudyId: null,
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},
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{
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id: "01234567-89ab-cdef-0123-456789abcde1",
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name: "Dr. Sarah Chen",
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email: "sarah.chen@university.edu",
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emailVerified: new Date(),
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institution: "MIT Computer Science",
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activeStudyId: null,
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},
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{
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id: "01234567-89ab-cdef-0123-456789abcde2",
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name: "Dr. Michael Rodriguez",
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email: "m.rodriguez@research.org",
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emailVerified: new Date(),
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institution: "Stanford HCI Lab",
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activeStudyId: null,
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},
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{
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id: "01234567-89ab-cdef-0123-456789abcde3",
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name: "Emma Thompson",
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email: "emma.thompson@university.edu",
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emailVerified: new Date(),
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institution: "MIT Computer Science",
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activeStudyId: null,
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},
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{
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id: "01234567-89ab-cdef-0123-456789abcde4",
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name: "Dr. James Wilson",
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email: "james.wilson@university.edu",
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emailVerified: new Date(),
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institution: "MIT Computer Science",
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activeStudyId: null,
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},
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];
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await db.insert(schema.users).values(users);
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// Add user roles
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const userRoles = [
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{
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userId: "01234567-89ab-cdef-0123-456789abcde0",
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role: "administrator" as const,
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assignedAt: new Date(),
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assignedBy: "01234567-89ab-cdef-0123-456789abcde0", // Sean as admin
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},
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{
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userId: "01234567-89ab-cdef-0123-456789abcde1",
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role: "researcher" as const,
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assignedAt: new Date(),
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assignedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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userId: "01234567-89ab-cdef-0123-456789abcde2",
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role: "researcher" as const,
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assignedAt: new Date(),
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assignedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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userId: "01234567-89ab-cdef-0123-456789abcde3",
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role: "wizard" as const,
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assignedAt: new Date(),
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assignedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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userId: "01234567-89ab-cdef-0123-456789abcde4",
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role: "observer" as const,
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assignedAt: new Date(),
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assignedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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];
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await db.insert(schema.userSystemRoles).values(userRoles);
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console.log(`✅ Created ${users.length} users with roles`);
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}
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async function seedStudies() {
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console.log("📚 Seeding studies...");
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const studies = [
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{
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id: "11234567-89ab-cdef-0123-456789abcde1",
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name: "Robot Navigation Assistance Study",
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description:
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"Investigating how robots can effectively assist humans with indoor navigation tasks using multimodal interaction.",
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institution: "MIT Computer Science",
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irbProtocolNumber: "IRB-2024-001",
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status: "active" as const,
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createdBy: "01234567-89ab-cdef-0123-456789abcde0",
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metadata: {
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duration: "6 months",
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targetParticipants: 50,
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robotPlatform: "TurtleBot3",
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environment: "Indoor office building",
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},
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},
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{
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id: "11234567-89ab-cdef-0123-456789abcde2",
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name: "Social Robot Interaction Patterns",
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description:
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"Exploring how different personality traits in robots affect human-robot collaboration in workplace settings.",
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institution: "Stanford HCI Lab",
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irbProtocolNumber: "IRB-2024-002",
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status: "draft" as const,
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createdBy: "01234567-89ab-cdef-0123-456789abcde0",
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metadata: {
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duration: "4 months",
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targetParticipants: 30,
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robotPlatform: "Pepper",
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environment: "Office collaboration space",
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},
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},
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{
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id: "11234567-89ab-cdef-0123-456789abcde3",
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name: "Assistive Robotics for Elderly Care",
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description:
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"Evaluating the effectiveness of companion robots in assisted living facilities for improving quality of life.",
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institution: "University of Washington",
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irbProtocolNumber: "IRB-2024-003",
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status: "completed" as const,
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createdBy: "01234567-89ab-cdef-0123-456789abcde0",
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metadata: {
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duration: "12 months",
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targetParticipants: 40,
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robotPlatform: "Companion Robot",
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environment: "Assisted living facility",
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},
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},
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];
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await db.insert(schema.studies).values(studies);
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// Add study members
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const studyMembers = [
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// Sean as admin/owner of all studies
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde1",
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userId: "01234567-89ab-cdef-0123-456789abcde0",
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role: "owner" as const,
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joinedAt: new Date(),
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invitedBy: null,
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},
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// Navigation Study Team
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde1",
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userId: "01234567-89ab-cdef-0123-456789abcde2",
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role: "researcher" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde1",
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userId: "01234567-89ab-cdef-0123-456789abcde3",
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role: "wizard" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde1",
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userId: "01234567-89ab-cdef-0123-456789abcde4",
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role: "observer" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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// Sean as admin/owner of Social Robots Study
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde2",
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userId: "01234567-89ab-cdef-0123-456789abcde0",
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role: "owner" as const,
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joinedAt: new Date(),
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invitedBy: null,
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},
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// Social Robots Study Team
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde2",
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userId: "01234567-89ab-cdef-0123-456789abcde2",
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role: "researcher" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde2",
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userId: "01234567-89ab-cdef-0123-456789abcde1",
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role: "researcher" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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// Sean as admin/owner of Elderly Care Study
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde3",
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userId: "01234567-89ab-cdef-0123-456789abcde0",
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role: "owner" as const,
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joinedAt: new Date(),
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invitedBy: null,
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},
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// Elderly Care Study Team
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{
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studyId: "11234567-89ab-cdef-0123-456789abcde3",
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userId: "01234567-89ab-cdef-0123-456789abcde1",
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role: "researcher" as const,
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joinedAt: new Date(),
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invitedBy: "01234567-89ab-cdef-0123-456789abcde0",
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},
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];
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await db.insert(schema.studyMembers).values(studyMembers);
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console.log(`✅ Created ${studies.length} studies with team members`);
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}
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async function seedExperiments() {
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console.log("🧪 Seeding experiments...");
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const experiments = [
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{
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id: "exp-navigation-baseline",
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studyId: "study-hri-navigation",
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name: "Baseline Navigation Task",
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description:
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"Participants navigate independently without robot assistance to establish baseline performance metrics.",
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version: 1,
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robotId: null,
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status: "ready" as const,
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estimatedDuration: 15, // minutes
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createdBy: "user-researcher-1",
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metadata: {
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condition: "control",
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environment: "Building A, Floor 2",
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equipment: ["motion capture", "eye tracker"],
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instructions: "Find the conference room using only building signs",
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},
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},
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{
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id: "exp-navigation-robot",
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studyId: "study-hri-navigation",
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name: "Robot-Assisted Navigation",
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description:
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"Participants navigate with robot providing verbal and gestural guidance to test effectiveness of robot assistance.",
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version: 2,
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robotId: null,
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status: "testing" as const,
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estimatedDuration: 20,
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createdBy: "user-researcher-1",
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metadata: {
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condition: "robot_assistance",
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environment: "Building A, Floor 2",
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equipment: ["motion capture", "eye tracker", "TurtleBot3"],
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instructions: "Follow robot guidance to find the conference room",
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},
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},
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{
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id: "exp-social-personality",
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studyId: "study-social-robots",
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name: "Robot Personality Variants",
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description:
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"Testing different robot personality types (friendly, professional, neutral) in collaborative tasks.",
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version: 1,
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robotId: null,
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status: "draft" as const,
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estimatedDuration: 30,
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createdBy: "user-researcher-1",
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metadata: {
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condition: "personality_comparison",
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personalities: ["friendly", "professional", "neutral"],
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tasks: ["document review", "scheduling", "problem solving"],
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},
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},
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{
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id: "exp-elderly-companion",
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studyId: "study-elderly-assistance",
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name: "Daily Companion Interaction",
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description:
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"Evaluating robot as daily companion for elderly residents including conversation and activity reminders.",
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version: 3,
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robotId: null,
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status: "ready" as const,
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estimatedDuration: 45,
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createdBy: "user-admin-1",
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metadata: {
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condition: "companion_interaction",
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activities: ["conversation", "medication reminder", "exercise prompts"],
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duration_days: 14,
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},
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},
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];
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await db.insert(schema.experiments).values(experiments);
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console.log(`✅ Created ${experiments.length} experiments`);
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}
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async function seedStepsAndActions() {
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console.log("📋 Seeding experiment steps and actions...");
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// Baseline Navigation Experiment Steps
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const baselineSteps = [
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{
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id: "step-baseline-1",
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experimentId: "exp-navigation-baseline",
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name: "Welcome & Consent",
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description:
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"Greet participant, explain study, and obtain informed consent",
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type: "wizard" as const,
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orderIndex: 0,
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durationEstimate: 300, // 5 minutes in seconds
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required: true,
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conditions: {
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environment: "lab_room",
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setup: "consent_forms_ready",
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},
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},
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{
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id: "step-baseline-2",
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experimentId: "exp-navigation-baseline",
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name: "Equipment Setup",
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description: "Attach motion capture markers and calibrate eye tracker",
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type: "wizard" as const,
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orderIndex: 1,
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durationEstimate: 180,
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required: true,
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conditions: {
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equipment: ["motion_capture", "eye_tracker"],
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calibration_required: true,
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},
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},
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{
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id: "step-baseline-3",
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experimentId: "exp-navigation-baseline",
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name: "Task Instructions",
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description: "Explain navigation task and destination to participant",
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type: "wizard" as const,
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orderIndex: 2,
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durationEstimate: 120,
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required: true,
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conditions: {
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destination: "Conference Room B-201",
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starting_point: "Building A Lobby",
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},
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},
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{
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id: "step-baseline-4",
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experimentId: "exp-navigation-baseline",
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name: "Independent Navigation",
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description:
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"Participant navigates independently while data is collected",
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type: "parallel" as const,
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orderIndex: 3,
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durationEstimate: 600,
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required: true,
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conditions: {
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data_collection: ["position", "gaze", "time"],
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assistance: "none",
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},
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},
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{
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id: "step-baseline-5",
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experimentId: "exp-navigation-baseline",
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name: "Post-Task Survey",
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description:
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"Participant completes questionnaire about navigation experience",
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type: "wizard" as const,
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orderIndex: 4,
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durationEstimate: 240,
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required: true,
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conditions: {
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survey_type: "navigation_experience",
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questions: ["difficulty", "confidence", "stress_level"],
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},
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},
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];
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await db.insert(schema.steps).values(baselineSteps);
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// Robot-Assisted Navigation Experiment Steps
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const robotSteps = [
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{
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id: "step-robot-1",
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experimentId: "exp-navigation-robot",
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name: "Robot Introduction",
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description:
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"Robot introduces itself and explains its role as navigation assistant",
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type: "robot" as const,
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orderIndex: 0,
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durationEstimate: 180,
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required: true,
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conditions: {
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robot_behavior: "friendly_introduction",
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voice_enabled: true,
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},
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},
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{
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id: "step-robot-2",
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experimentId: "exp-navigation-robot",
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name: "Guided Navigation",
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description:
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"Robot provides turn-by-turn navigation guidance with gestures and speech",
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type: "robot" as const,
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orderIndex: 1,
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durationEstimate: 480,
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required: true,
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conditions: {
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guidance_type: "multimodal",
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gestures: true,
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speech: true,
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adaptation: "user_pace",
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},
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},
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{
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id: "step-robot-3",
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experimentId: "exp-navigation-robot",
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name: "Arrival Confirmation",
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description:
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"Robot confirms successful arrival and asks about experience",
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type: "robot" as const,
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orderIndex: 2,
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durationEstimate: 120,
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required: true,
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conditions: {
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confirmation_required: true,
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feedback_collection: "immediate",
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},
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},
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];
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|
await db.insert(schema.steps).values(robotSteps);
|
|
|
|
// Social Robot Personality Steps
|
|
const socialSteps = [
|
|
{
|
|
id: "step-social-1",
|
|
experimentId: "exp-social-personality",
|
|
name: "Personality Calibration",
|
|
description:
|
|
"Robot adjusts behavior based on assigned personality condition",
|
|
type: "conditional" as const,
|
|
orderIndex: 0,
|
|
durationEstimate: 60,
|
|
required: true,
|
|
conditions: {
|
|
personality_variants: ["friendly", "professional", "neutral"],
|
|
behavior_parameters: {
|
|
friendly: { warmth: 0.8, formality: 0.3 },
|
|
professional: { warmth: 0.4, formality: 0.9 },
|
|
neutral: { warmth: 0.5, formality: 0.5 },
|
|
},
|
|
},
|
|
},
|
|
{
|
|
id: "step-social-2",
|
|
experimentId: "exp-social-personality",
|
|
name: "Collaborative Task",
|
|
description: "Human and robot work together on document review task",
|
|
type: "parallel" as const,
|
|
orderIndex: 1,
|
|
durationEstimate: 1200,
|
|
required: true,
|
|
conditions: {
|
|
task_type: "document_review",
|
|
collaboration_level: "equal_partners",
|
|
performance_metrics: ["accuracy", "efficiency", "satisfaction"],
|
|
},
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.steps).values(socialSteps);
|
|
|
|
console.log("✅ Created experiment steps");
|
|
|
|
// Create actions for each step
|
|
const actions = [
|
|
// Baseline Navigation Actions
|
|
{
|
|
id: "action-baseline-1-1",
|
|
stepId: "step-baseline-1",
|
|
name: "Greet Participant",
|
|
description: "Welcome participant and introduce research team",
|
|
type: "wizard_speech",
|
|
orderIndex: 0,
|
|
parameters: {
|
|
script:
|
|
"Hello! Welcome to our navigation study. I'm [NAME] and I'll be guiding you through today's session.",
|
|
tone: "friendly_professional",
|
|
},
|
|
},
|
|
{
|
|
id: "action-baseline-1-2",
|
|
stepId: "step-baseline-1",
|
|
name: "Explain Study",
|
|
description: "Provide overview of study purpose and procedures",
|
|
type: "wizard_speech",
|
|
orderIndex: 1,
|
|
parameters: {
|
|
script:
|
|
"Today we're studying how people navigate indoor environments. You'll be asked to find a specific location in the building.",
|
|
documentation_required: true,
|
|
},
|
|
},
|
|
{
|
|
id: "action-baseline-1-3",
|
|
stepId: "step-baseline-1",
|
|
name: "Obtain Consent",
|
|
description: "Review consent form and obtain participant signature",
|
|
type: "wizard_form",
|
|
orderIndex: 2,
|
|
parameters: {
|
|
form_type: "informed_consent",
|
|
signature_required: true,
|
|
questions_allowed: true,
|
|
},
|
|
},
|
|
|
|
// Robot Navigation Actions
|
|
{
|
|
id: "action-robot-1-1",
|
|
stepId: "step-robot-1",
|
|
name: "Robot Self-Introduction",
|
|
description: "Robot introduces itself with friendly demeanor",
|
|
type: "robot_speech",
|
|
orderIndex: 0,
|
|
parameters: {
|
|
text: "Hello! I'm your navigation assistant. My name is Robi and I'm here to help you find your destination.",
|
|
gesture: "wave",
|
|
eye_contact: true,
|
|
voice_parameters: {
|
|
pitch: 0.7,
|
|
speed: 0.8,
|
|
emotion: "friendly",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
id: "action-robot-1-2",
|
|
stepId: "step-robot-1",
|
|
name: "Explain Robot Role",
|
|
description: "Robot explains how it will assist with navigation",
|
|
type: "robot_speech",
|
|
orderIndex: 1,
|
|
parameters: {
|
|
text: "I'll guide you to the conference room using gestures and directions. Please follow me and let me know if you need clarification.",
|
|
gesture: "pointing",
|
|
led_indicators: true,
|
|
},
|
|
},
|
|
{
|
|
id: "action-robot-2-1",
|
|
stepId: "step-robot-2",
|
|
name: "Start Navigation",
|
|
description: "Robot begins guiding participant toward destination",
|
|
type: "robot_movement",
|
|
orderIndex: 0,
|
|
parameters: {
|
|
movement_type: "lead",
|
|
speed: "slow_human_pace",
|
|
path_planning: "optimal_with_explanations",
|
|
safety_distance: 1.5,
|
|
},
|
|
},
|
|
{
|
|
id: "action-robot-2-2",
|
|
stepId: "step-robot-2",
|
|
name: "Provide Turn Instructions",
|
|
description:
|
|
"Robot gives clear directional instructions at decision points",
|
|
type: "robot_speech",
|
|
orderIndex: 1,
|
|
parameters: {
|
|
instruction_type: "turn_by_turn",
|
|
gesture_coordination: true,
|
|
confirmation_requests: ["ready_to_continue", "understand_direction"],
|
|
adaptive_repetition: true,
|
|
},
|
|
},
|
|
|
|
// Social Robot Actions
|
|
{
|
|
id: "action-social-1-1",
|
|
stepId: "step-social-1",
|
|
name: "Load Personality Profile",
|
|
description: "Configure robot behavior based on personality condition",
|
|
type: "robot_config",
|
|
orderIndex: 0,
|
|
parameters: {
|
|
config_type: "personality_parameters",
|
|
profiles: {
|
|
friendly: {
|
|
greeting_style: "warm",
|
|
speech_patterns: "casual",
|
|
gesture_frequency: "high",
|
|
},
|
|
professional: {
|
|
greeting_style: "formal",
|
|
speech_patterns: "business",
|
|
gesture_frequency: "moderate",
|
|
},
|
|
neutral: {
|
|
greeting_style: "standard",
|
|
speech_patterns: "neutral",
|
|
gesture_frequency: "low",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
{
|
|
id: "action-social-2-1",
|
|
stepId: "step-social-2",
|
|
name: "Initiate Collaboration",
|
|
description: "Robot starts collaborative document review task",
|
|
type: "robot_interaction",
|
|
orderIndex: 0,
|
|
parameters: {
|
|
task_initiation: "collaborative",
|
|
document_type: "research_proposal",
|
|
review_criteria: ["clarity", "feasibility", "innovation"],
|
|
interaction_style: "personality_dependent",
|
|
},
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.actions).values(actions);
|
|
console.log(`✅ Created ${actions.length} actions for steps`);
|
|
}
|
|
|
|
async function seedParticipants() {
|
|
console.log("👤 Seeding participants...");
|
|
|
|
const participants = [
|
|
{
|
|
id: "participant-1",
|
|
studyId: "study-hri-navigation",
|
|
participantCode: "NAV001",
|
|
name: "Alex Johnson",
|
|
email: "alex.johnson@email.com",
|
|
demographics: {
|
|
age: 28,
|
|
gender: "non-binary",
|
|
education: "bachelor",
|
|
tech_experience: "high",
|
|
robot_experience: "medium",
|
|
mobility: "none",
|
|
},
|
|
consentGiven: true,
|
|
consentDate: new Date("2024-01-15"),
|
|
notes: "Interested in robotics, works in tech industry",
|
|
},
|
|
{
|
|
id: "participant-2",
|
|
studyId: "study-hri-navigation",
|
|
participantCode: "NAV002",
|
|
name: "Maria Santos",
|
|
email: "maria.santos@email.com",
|
|
demographics: {
|
|
age: 34,
|
|
gender: "female",
|
|
education: "master",
|
|
tech_experience: "medium",
|
|
robot_experience: "low",
|
|
mobility: "none",
|
|
},
|
|
consentGiven: true,
|
|
consentDate: new Date("2024-01-16"),
|
|
notes: "Architecture background, good spatial reasoning",
|
|
},
|
|
{
|
|
id: "participant-3",
|
|
studyId: "study-hri-navigation",
|
|
participantCode: "NAV003",
|
|
name: "David Kim",
|
|
email: "david.kim@email.com",
|
|
demographics: {
|
|
age: 45,
|
|
gender: "male",
|
|
education: "phd",
|
|
tech_experience: "high",
|
|
robot_experience: "high",
|
|
mobility: "none",
|
|
},
|
|
consentGiven: true,
|
|
consentDate: new Date("2024-01-17"),
|
|
notes: "Computer science professor, very familiar with robots",
|
|
},
|
|
{
|
|
id: "participant-4",
|
|
studyId: "study-social-robots",
|
|
participantCode: "SOC001",
|
|
name: "Jennifer Liu",
|
|
email: "jennifer.liu@email.com",
|
|
demographics: {
|
|
age: 29,
|
|
gender: "female",
|
|
education: "bachelor",
|
|
tech_experience: "medium",
|
|
robot_experience: "low",
|
|
work_environment: "office",
|
|
},
|
|
consentGiven: true,
|
|
consentDate: new Date("2024-01-20"),
|
|
notes: "Project manager, interested in workplace automation",
|
|
},
|
|
{
|
|
id: "participant-5",
|
|
studyId: "study-elderly-assistance",
|
|
participantCode: "ELD001",
|
|
name: "Robert Thompson",
|
|
email: "robert.thompson@email.com",
|
|
demographics: {
|
|
age: 72,
|
|
gender: "male",
|
|
education: "high_school",
|
|
tech_experience: "low",
|
|
robot_experience: "none",
|
|
living_situation: "assisted_living",
|
|
health_conditions: ["arthritis", "mild_hearing_loss"],
|
|
},
|
|
consentGiven: true,
|
|
consentDate: new Date("2024-01-10"),
|
|
notes: "Retired teacher, very social and cooperative",
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.participants).values(participants);
|
|
console.log(`✅ Created ${participants.length} participants`);
|
|
}
|
|
|
|
async function seedTrials() {
|
|
console.log("🎯 Seeding trials...");
|
|
|
|
const trials = [
|
|
// Navigation Study Trials
|
|
{
|
|
id: "trial-nav-001",
|
|
experimentId: "exp-navigation-baseline",
|
|
participantId: "participant-1",
|
|
wizardId: "user-wizard-1",
|
|
sessionNumber: 1,
|
|
status: "completed" as const,
|
|
scheduledAt: new Date("2024-01-15T10:00:00"),
|
|
startedAt: new Date("2024-01-15T10:05:00"),
|
|
completedAt: new Date("2024-01-15T10:20:00"),
|
|
notes: "Participant completed successfully, good baseline performance",
|
|
metadata: {
|
|
condition: "control",
|
|
completion_time: 893, // seconds
|
|
errors: 1,
|
|
assistance_requests: 0,
|
|
},
|
|
},
|
|
{
|
|
id: "trial-nav-002",
|
|
experimentId: "exp-navigation-robot",
|
|
participantId: "participant-1",
|
|
wizardId: "user-wizard-1",
|
|
sessionNumber: 2,
|
|
status: "completed" as const,
|
|
scheduledAt: new Date("2024-01-15T10:30:00"),
|
|
startedAt: new Date("2024-01-15T10:35:00"),
|
|
completedAt: new Date("2024-01-15T10:58:00"),
|
|
notes: "Robot assistance worked well, participant very satisfied",
|
|
metadata: {
|
|
condition: "robot_assistance",
|
|
completion_time: 654,
|
|
errors: 0,
|
|
assistance_requests: 2,
|
|
robot_performance: "excellent",
|
|
},
|
|
},
|
|
{
|
|
id: "trial-nav-003",
|
|
experimentId: "exp-navigation-baseline",
|
|
participantId: "participant-2",
|
|
wizardId: "user-wizard-1",
|
|
sessionNumber: 1,
|
|
status: "completed" as const,
|
|
scheduledAt: new Date("2024-01-16T14:00:00"),
|
|
startedAt: new Date("2024-01-16T14:03:00"),
|
|
completedAt: new Date("2024-01-16T14:18:00"),
|
|
notes: "Good spatial reasoning, minimal difficulty",
|
|
metadata: {
|
|
condition: "control",
|
|
completion_time: 720,
|
|
errors: 0,
|
|
assistance_requests: 0,
|
|
},
|
|
},
|
|
{
|
|
id: "trial-nav-004",
|
|
experimentId: "exp-navigation-robot",
|
|
participantId: "participant-2",
|
|
wizardId: "user-wizard-1",
|
|
sessionNumber: 2,
|
|
status: "in_progress" as const,
|
|
scheduledAt: new Date("2024-01-16T14:30:00"),
|
|
startedAt: new Date("2024-01-16T14:35:00"),
|
|
completedAt: null,
|
|
notes: "Currently in progress",
|
|
metadata: {
|
|
condition: "robot_assistance",
|
|
},
|
|
},
|
|
{
|
|
id: "trial-soc-001",
|
|
experimentId: "exp-social-personality",
|
|
participantId: "participant-4",
|
|
wizardId: "user-wizard-1",
|
|
sessionNumber: 1,
|
|
status: "scheduled" as const,
|
|
scheduledAt: new Date("2024-01-25T11:00:00"),
|
|
startedAt: null,
|
|
completedAt: null,
|
|
notes: "Personality condition: friendly",
|
|
metadata: {
|
|
condition: "friendly_personality",
|
|
personality_type: "friendly",
|
|
},
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.trials).values(trials);
|
|
console.log(`✅ Created ${trials.length} trials`);
|
|
}
|
|
|
|
async function seedTrialEvents() {
|
|
console.log("📊 Seeding trial events...");
|
|
|
|
const trialEvents = [
|
|
// Events for completed navigation trial
|
|
{
|
|
id: "event-1",
|
|
trialId: "trial-nav-001",
|
|
stepId: "step-baseline-1",
|
|
actionId: "action-baseline-1-1",
|
|
eventType: "step_start" as const,
|
|
timestamp: new Date("2024-01-15T10:05:00"),
|
|
data: {
|
|
step_name: "Welcome & Consent",
|
|
wizard_id: "user-wizard-1",
|
|
},
|
|
},
|
|
{
|
|
id: "event-2",
|
|
trialId: "trial-nav-001",
|
|
stepId: "step-baseline-1",
|
|
actionId: "action-baseline-1-1",
|
|
eventType: "custom" as const,
|
|
timestamp: new Date("2024-01-15T10:06:30"),
|
|
data: {
|
|
action_name: "Greet Participant",
|
|
duration: 90,
|
|
success: true,
|
|
},
|
|
},
|
|
{
|
|
id: "event-3",
|
|
trialId: "trial-nav-001",
|
|
stepId: "step-baseline-4",
|
|
actionId: null,
|
|
eventType: "step_start" as const,
|
|
timestamp: new Date("2024-01-15T10:10:00"),
|
|
data: {
|
|
step_name: "Independent Navigation",
|
|
starting_location: "Building A Lobby",
|
|
},
|
|
},
|
|
{
|
|
id: "event-4",
|
|
trialId: "trial-nav-001",
|
|
stepId: "step-baseline-4",
|
|
actionId: null,
|
|
eventType: "custom" as const,
|
|
timestamp: new Date("2024-01-15T10:12:30"),
|
|
data: {
|
|
event_type: "wrong_turn",
|
|
location: "Hallway B",
|
|
correction_time: 45,
|
|
},
|
|
},
|
|
{
|
|
id: "event-5",
|
|
trialId: "trial-nav-001",
|
|
stepId: "step-baseline-4",
|
|
actionId: null,
|
|
eventType: "step_end" as const,
|
|
timestamp: new Date("2024-01-15T10:18:53"),
|
|
data: {
|
|
step_name: "Independent Navigation",
|
|
destination_reached: true,
|
|
total_time: 533,
|
|
path_efficiency: 0.78,
|
|
},
|
|
},
|
|
|
|
// Events for robot-assisted trial
|
|
{
|
|
id: "event-6",
|
|
trialId: "trial-nav-002",
|
|
stepId: "step-robot-1",
|
|
actionId: "action-robot-1-1",
|
|
eventType: "custom" as const,
|
|
timestamp: new Date("2024-01-15T10:36:30"),
|
|
data: {
|
|
action_name: "Robot Self-Introduction",
|
|
robot_speech: "Hello! I'm your navigation assistant...",
|
|
participant_response: "positive",
|
|
engagement_level: "high",
|
|
},
|
|
},
|
|
{
|
|
id: "event-7",
|
|
trialId: "trial-nav-002",
|
|
stepId: "step-robot-2",
|
|
actionId: "action-robot-2-1",
|
|
eventType: "custom" as const,
|
|
timestamp: new Date("2024-01-15T10:45:15"),
|
|
data: {
|
|
event_type: "robot_guidance",
|
|
instruction: "Turn right at the end of this hallway",
|
|
gesture_performed: "pointing_right",
|
|
participant_compliance: true,
|
|
response_time: 2.3,
|
|
},
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.trialEvents).values(trialEvents);
|
|
console.log(`✅ Created ${trialEvents.length} trial events`);
|
|
}
|
|
|
|
async function seedRobots() {
|
|
console.log("🤖 Seeding robots...");
|
|
|
|
const robots = [
|
|
{
|
|
id: "31234567-89ab-cdef-0123-456789abcde1",
|
|
name: "TurtleBot3 Burger",
|
|
manufacturer: "ROBOTIS",
|
|
model: "TurtleBot3 Burger",
|
|
description:
|
|
"A compact, affordable, programmable, ROS2-based mobile robot for education and research",
|
|
capabilities: [
|
|
"differential_drive",
|
|
"lidar",
|
|
"imu",
|
|
"odometry",
|
|
"autonomous_navigation",
|
|
],
|
|
communicationProtocol: "ros2" as const,
|
|
createdAt: new Date("2024-01-01T00:00:00"),
|
|
updatedAt: new Date("2024-01-01T00:00:00"),
|
|
},
|
|
{
|
|
id: "31234567-89ab-cdef-0123-456789abcde2",
|
|
name: "NAO Humanoid Robot",
|
|
manufacturer: "SoftBank Robotics",
|
|
model: "NAO v6",
|
|
description:
|
|
"Autonomous, programmable humanoid robot designed for education, research, and human-robot interaction studies",
|
|
capabilities: [
|
|
"bipedal_walking",
|
|
"speech_synthesis",
|
|
"speech_recognition",
|
|
"computer_vision",
|
|
"gestures",
|
|
"led_control",
|
|
"touch_sensors",
|
|
],
|
|
communicationProtocol: "custom" as const,
|
|
createdAt: new Date("2024-01-01T00:00:00"),
|
|
updatedAt: new Date("2024-01-01T00:00:00"),
|
|
},
|
|
];
|
|
|
|
await db.insert(schema.robots).values(robots);
|
|
console.log(`✅ Created ${robots.length} robots`);
|
|
}
|
|
|
|
async function main() {
|
|
try {
|
|
console.log("🚀 HRIStudio Database Seeding Started");
|
|
console.log("📍 Database:", connectionString.replace(/:[^:]*@/, ":***@"));
|
|
|
|
await clearDatabase();
|
|
await seedUsers();
|
|
await seedStudies();
|
|
await seedRobots();
|
|
await seedExperiments();
|
|
await seedStepsAndActions();
|
|
await seedParticipants();
|
|
await seedTrials();
|
|
await seedTrialEvents();
|
|
|
|
console.log("✅ Database seeding completed successfully!");
|
|
console.log("\n📋 Summary:");
|
|
console.log(" 👥 Users: 4 (admin, researcher, wizard, observer)");
|
|
console.log(" 📚 Studies: 3 (navigation, social robots, elderly care)");
|
|
console.log(" 🤖 Robots: 2 (TurtleBot3, NAO)");
|
|
console.log(" 🧪 Experiments: 4 (with comprehensive test scenarios)");
|
|
console.log(" 📋 Steps: 10 (covering all experiment types)");
|
|
console.log(" ⚡ Actions: 12 (detailed robot and wizard actions)");
|
|
console.log(" 👤 Participants: 5 (diverse demographics)");
|
|
console.log(" 🎯 Trials: 5 (completed, in-progress, scheduled)");
|
|
console.log(" 📊 Events: 7 (detailed trial execution data)");
|
|
console.log("\n🔑 Test Login Credentials:");
|
|
console.log(" Admin: sarah.chen@university.edu");
|
|
console.log(" Researcher: m.rodriguez@research.org");
|
|
console.log(" Wizard: emma.thompson@university.edu");
|
|
console.log(" Observer: james.wilson@university.edu");
|
|
console.log("\n🧪 Test Experiment Designer with:");
|
|
console.log(" 📍 /experiments/exp-navigation-baseline/designer");
|
|
console.log(" 📍 /experiments/exp-navigation-robot/designer");
|
|
console.log(" 📍 /experiments/exp-social-personality/designer");
|
|
console.log("\n🚀 Ready to test the experiment designer!");
|
|
} catch (error) {
|
|
console.error("❌ Seeding failed:", error);
|
|
process.exit(1);
|
|
} finally {
|
|
await client.end();
|
|
}
|
|
}
|
|
|
|
// Run the seeding
|
|
main().catch(console.error);
|