195 lines
6.7 KiB
TypeScript
195 lines
6.7 KiB
TypeScript
import { PrismaClient } from '@prisma/client';
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import crypto from 'crypto';
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const prisma = new PrismaClient();
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const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
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const AGENT_TYPES = ["BUILDER", "EVALUATOR", "JUDGE", "SCOUT"];
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const SKILLS = ["React", "Node.js", "Python", "Rust", "Go", "Solidity", "DevOps", "AI", "Design"];
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function randomChoice<T>(arr: T[]): T {
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return arr[Math.floor(Math.random() * arr.length)];
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}
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function randomSkills(count: number) {
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const shuffled = [...SKILLS].sort(() => 0.5 - Math.random());
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return shuffled.slice(0, count);
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}
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function isPrismaUniqueError(error: unknown) {
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return typeof error === "object" && error !== null && "code" in error && error.code === "P2002";
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}
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async function runSimulation() {
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console.log("🌊 The Great Swarm Commander Initiated 🌊");
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// 1. Generate 50 Agents
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console.log("[1/4] Generating 50 Agents...");
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const agentIds: string[] = [];
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for (let i = 0; i < 50; i++) {
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const id = `agent_sim_${crypto.randomBytes(4).toString("hex")}`;
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const type = randomChoice(AGENT_TYPES);
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const wallet = `0x${crypto.randomBytes(20).toString("hex")}`;
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await prisma.agentProfile.upsert({
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where: { agent_id: id },
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update: { status: "WHITELISTED" },
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create: {
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agent_id: id,
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type: type,
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status: "WHITELISTED",
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capabilities: randomSkills(3),
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discovery_source: "SIMULATION",
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crypto_address: wallet,
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}
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});
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agentIds.push(id);
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if (i % 10 === 0) console.log(` - Generated ${i} agents...`);
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}
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console.log(`✅ 50 Agents ready.`);
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// Infinite simulation loop
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console.log("🔥 Commencing Chaos Loop. Watch the Explorer! 🔥");
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let loopCount = 0;
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while (true) {
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loopCount++;
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console.log(`\n--- Cycle ${loopCount} ---`);
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// A. Create 1-3 new tasks
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const numTasks = Math.floor(Math.random() * 3) + 1;
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for (let i = 0; i < numTasks; i++) {
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const difficulty = randomChoice(["HELLO_WORLD", "COMPONENT", "VIEW", "EPIC"]);
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let reward = 0;
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if (difficulty === "HELLO_WORLD") reward = Math.floor(Math.random() * 100) + 50;
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if (difficulty === "COMPONENT") reward = Math.floor(Math.random() * 500) + 300;
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if (difficulty === "VIEW") reward = Math.floor(Math.random() * 1000) + 500;
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if (difficulty === "EPIC") reward = Math.floor(Math.random() * 10000) + 5000;
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const task = await prisma.task.create({
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data: {
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title: `[Sim] Auto-generated Task ${Date.now()}`,
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description: `This is an automated simulation task needing ${randomChoice(SKILLS)}.`,
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difficulty: difficulty,
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status: "OPEN",
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reward_amount: reward,
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reward_currency: "USDC",
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required_stack: randomSkills(3),
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scope_clarity_score: 0.95,
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acceptance_criteria: {
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validation_mode: "VITEST_UNIT",
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test_file_content: "import { describe, it, expect } from 'vitest';\nit('simulation task placeholder', () => expect(true).toBe(true));",
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rules: [{ assertion: "simulation", expected: true }],
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},
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scout_id: randomChoice(agentIds),
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}
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});
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console.log(`[+] Task Created: ${task.id} (${difficulty} - $${reward})`);
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}
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// B. Find some OPEN tasks and add bids
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const openTasks = await prisma.task.findMany({ where: { status: "OPEN" }, take: 5 });
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for (const task of openTasks) {
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const builder = randomChoice(agentIds);
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const bidAmount = Math.floor(task.reward_amount * (Math.random() * 0.5 + 0.5));
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try {
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await prisma.bidProposal.create({
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data: {
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task_id: task.id,
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agent_id: builder,
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proposed_reward: bidAmount,
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estimated_duration_hours: Math.random() * 20 + 2,
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status: "PENDING",
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broker_agent_id: Math.random() > 0.7 ? randomChoice(agentIds) : null,
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broker_fee_percentage: Math.random() > 0.7 ? 5 : null,
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}
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});
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console.log(` └─ Bid placed on ${task.id} by ${builder} for $${bidAmount}`);
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} catch (error) {
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if (isPrismaUniqueError(error)) {
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console.log(` └─ Duplicate bid skipped on ${task.id} by ${builder}`);
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continue;
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}
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throw error;
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}
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// 50% chance to accept a bid and move to EXECUTING
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if (Math.random() > 0.5) {
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await prisma.task.update({
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where: { id: task.id },
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data: { status: "EXECUTING", builder_id: builder }
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});
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await prisma.bidProposal.updateMany({
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where: { task_id: task.id, agent_id: builder },
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data: { status: "ACCEPTED" }
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});
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console.log(` └─ Task ${task.id} assigned to ${builder}!`);
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}
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}
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// C. Find some EXECUTING tasks and complete or dispute them
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const inProgressTasks = await prisma.task.findMany({ where: { status: "EXECUTING" }, take: 5 });
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for (const task of inProgressTasks) {
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if (Math.random() > 0.3) {
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// 70% chance to complete normally
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await prisma.task.update({
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where: { id: task.id },
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data: { status: "COMPLETED" }
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});
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console.log(` [✓] Task ${task.id} completed successfully.`);
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} else {
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// 30% chance to DISPUTE
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await prisma.task.update({
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where: { id: task.id },
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data: { status: "DISPUTED" }
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});
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// Create an arbitration case
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const evaluator = randomChoice(agentIds);
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const arb = await prisma.arbitration.create({
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data: {
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task_id: task.id,
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status: "PENDING",
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builder_id: task.builder_id || randomChoice(agentIds),
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evaluator_id: evaluator,
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}
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});
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console.log(` [!] DISPUTE RAISED on ${task.id}! Arbitration ${arb.id} started.`);
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}
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}
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// D. Resolve Arbitrations
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const arbitrations = await prisma.arbitration.findMany({ where: { status: "PENDING" }, take: 3 });
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for (const arb of arbitrations) {
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if (Math.random() > 0.5) {
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// Simulate a vote resolution
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const wonBy = Math.random() > 0.5 ? "BUILDER" : "EVALUATOR";
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await prisma.arbitration.update({
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where: { id: arb.id },
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data: {
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status: "RESOLVED",
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winning_party: wonBy,
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}
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});
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await prisma.task.update({
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where: { id: arb.task_id },
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data: { status: wonBy === "BUILDER" ? "COMPLETED" : "OPEN", builder_id: null }
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});
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console.log(` [⚖] Arbitration ${arb.id} resolved in favor of ${wonBy}!`);
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}
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}
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// Wait 5 seconds before next cycle
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await sleep(5000);
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}
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}
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runSimulation()
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.catch((e) => {
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console.error(e);
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process.exit(1);
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})
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.finally(async () => {
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await prisma.$disconnect();
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});
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