Add complete ECS Fargate infrastructure for Clawdbot Discord bot deployment on AWS. ## Infrastructure (Terraform) - **VPC**: 100.64.0.0/16 with DNS support - **Public Subnets**: 2 subnets in different AZs - **ECR Repository**: clawdbot/bot with lifecycle policy - **IAM Roles**: Task Role (DynamoDB+S3) + Execution Role - **ECS Resources**: Fargate (256 CPU, 2048 MB memory) - **Security Group**: Outbound only - **CloudWatch**: Log group with 7-day retention ## Security Improvements - Discord Bot Token → AWS Secrets Manager - IAM policy with least privilege principle - No plaintext secrets in code ## Code Quality - Fix all 22 lint errors - Add *.d.ts to oxlint ignore patterns - Fix Dockerfile .buildstamp for Linux compatibility Closes #2049 Co-Authored-By: Claude <noreply@anthropic.com>
507 lines
14 KiB
TypeScript
507 lines
14 KiB
TypeScript
/**
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* Agent Flow Integration Tests
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*
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* Tests the Miyabi Agent Society workflow:
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* - しきるん (Conductor) → タスク分配
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* - カエデ (CodeGen) → コード生成
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* - サクラ (Review) → レビュー
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* - ツバキ (PR) → 統合
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* - ボタン (Deploy) → デプロイ
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* - ながれるん (Automation) → 自動化
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*
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* Also tests:
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* - Multi-agent parallel execution
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* - Handoff between agents
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* - θサイクル (Observe → Analyze → Decide → Allocate → Execute → Improve)
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*/
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import { describe, it, expect } from "vitest";
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// Agent definitions based on Miyabi Agent Society
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interface Agent {
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id: string;
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name: string;
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emoji: string;
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role: string;
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capabilities: string[];
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dependencies: string[];
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}
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const MIYABI_AGENTS: Record<string, Agent> = {
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shikirun: {
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id: "shikirun",
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name: "しきるん",
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emoji: "🎭",
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role: "Conductor / Orchestrator",
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capabilities: [
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"task_distribution",
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"agent_coordination",
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"progress_tracking",
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"escalation_handling",
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],
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dependencies: [],
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},
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kaede: {
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id: "kaede",
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name: "カエデ",
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emoji: "🍁",
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role: "CodeGen / Developer",
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capabilities: ["code_generation", "bug_fixes", "refactoring", "unit_testing"],
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dependencies: ["shikirun"],
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},
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sakura: {
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id: "sakura",
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name: "サクラ",
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emoji: "🌸",
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role: "Review / QA",
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capabilities: ["code_review", "security_audit", "quality_check", "feedback_provision"],
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dependencies: ["kaede"],
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},
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tsubaki: {
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id: "tsubaki",
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name: "ツバキ",
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emoji: "🌺",
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role: "PR / Integration",
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capabilities: ["pr_creation", "merge_management", "conflict_resolution", "changelog_updates"],
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dependencies: ["sakura"],
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},
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botan: {
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id: "botan",
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name: "ボタン",
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emoji: "🌼",
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role: "Deploy / Release",
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capabilities: ["deployment", "release_management", "rollback_handling", "version_control"],
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dependencies: ["tsubaki"],
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},
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nagarerun: {
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id: "nagarerun",
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name: "ながれるん",
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emoji: "🌊",
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role: "Automation / n8n Workflow",
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capabilities: [
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"workflow_automation",
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"n8n_integration",
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"monitoring_setup",
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"notification_setup",
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],
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dependencies: [],
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},
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};
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// θサイクル (Theta Cycle) phases
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type ThetaPhase = "observe" | "analyze" | "decide" | "allocate" | "execute" | "improve";
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interface ThetaCycleResult {
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phase: ThetaPhase;
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agent?: string;
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status: "pending" | "in_progress" | "completed" | "blocked";
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output?: unknown;
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error?: string;
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}
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// Helper functions
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function executeAgentTask(agentId: string, task: string): ThetaCycleResult {
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const agent = MIYABI_AGENTS[agentId];
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if (!agent) {
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return {
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phase: "execute",
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status: "blocked",
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error: `Unknown agent: ${agentId}`,
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};
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}
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// Simulate task execution (in real scenario, this would call the agent)
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return {
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phase: "execute",
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agent: agentId,
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status: "completed",
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output: `${agent.name} completed: ${task}`,
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};
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}
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function validateHandoff(fromAgent: string, toAgent: string): boolean {
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const from = MIYABI_AGENTS[fromAgent];
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const to = MIYABI_AGENTS[toAgent];
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if (!from || !to) return false;
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// Valid handoff: workflow follows dependency chain
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const validHandoffs = {
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shikirun: ["kaede", "nagarerun"],
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kaede: ["sakura"],
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sakura: ["tsubaki"],
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tsubaki: ["botan"],
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botan: ["nagarerun", "shikirun"],
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nagarerun: ["shikirun"],
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};
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// Escalation to conductor (shikirun) is always valid
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if (toAgent === "shikirun") return true;
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return validHandoffs[fromAgent]?.includes(toAgent) || false;
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}
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describe("Agent Flow Integration Tests", () => {
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describe("Miyabi Agent Society Definition", () => {
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it("should have all 6 core agents defined", () => {
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expect(Object.keys(MIYABI_AGENTS)).toHaveLength(6);
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});
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it("should have correct agent capabilities", () => {
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expect(MIYABI_AGENTS.shikirun.capabilities).toContain("task_distribution");
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expect(MIYABI_AGENTS.kaede.capabilities).toContain("code_generation");
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expect(MIYABI_AGENTS.sakura.capabilities).toContain("code_review");
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expect(MIYABI_AGENTS.tsubaki.capabilities).toContain("pr_creation");
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expect(MIYABI_AGENTS.botan.capabilities).toContain("deployment");
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expect(MIYABI_AGENTS.nagarerun.capabilities).toContain("workflow_automation");
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});
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it("should have valid agent dependencies", () => {
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// All agents should have valid dependencies
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Object.values(MIYABI_AGENTS).forEach((agent) => {
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const validDeps = agent.dependencies.every((dep) => MIYABI_AGENTS[dep]);
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expect(validDeps).toBe(true);
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});
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});
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});
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describe("Sequential Workflow (逐次実行)", () => {
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it("should execute しきるん → カエデ → サクラ → ツバキ → ボタン", () => {
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const workflow = [
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{ agent: "shikirun", task: "distribute_task" },
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{ agent: "kaede", task: "generate_code" },
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{ agent: "sakura", task: "review_code" },
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{ agent: "tsubaki", task: "create_pr" },
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{ agent: "botan", task: "deploy" },
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];
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const results: ThetaCycleResult[] = [];
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for (const step of workflow) {
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const result = executeAgentTask(step.agent, step.task);
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results.push(result);
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expect(result.status).toBe("completed");
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}
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expect(results).toHaveLength(5);
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});
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it("should validate handoff between agents", () => {
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const handoffs = [
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{ from: "shikirun", to: "kaede" },
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{ from: "kaede", to: "sakura" },
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{ from: "sakura", to: "tsubaki" },
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{ from: "tsubaki", to: "botan" },
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];
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handoffs.forEach(({ from, to }) => {
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expect(validateHandoff(from, to)).toBe(true);
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});
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});
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});
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describe("Parallel Execution (並列実行)", () => {
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it("should execute カエデ + ながれるん in parallel", async () => {
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const parallelTasks = [
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{ agent: "kaede", task: "implement_feature_a" },
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{ agent: "nagarerun", task: "setup_workflow" },
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];
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// Simulate parallel execution
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const results = await Promise.all(
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parallelTasks.map((task) => Promise.resolve(executeAgentTask(task.agent, task.task))),
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);
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results.forEach((result) => {
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expect(result.status).toBe("completed");
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});
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expect(results).toHaveLength(2);
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});
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it("should handle independent agents correctly", () => {
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// ながれるん and しきるん can work independently
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const independentAgents = ["shikirun", "nagarerun"];
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independentAgents.forEach((agentId) => {
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const agent = MIYABI_AGENTS[agentId];
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expect(agent.dependencies.length).toBe(0);
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});
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});
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});
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describe("θサイクル (Theta Cycle)", () => {
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it("should execute complete θサイクル", () => {
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const cycle: ThetaPhase[] = [
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"observe",
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"analyze",
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"decide",
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"allocate",
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"execute",
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"improve",
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];
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const results: ThetaCycleResult[] = [];
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for (const phase of cycle) {
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let result: ThetaCycleResult;
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switch (phase) {
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case "observe":
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result = { phase, status: "completed", output: "Problem observed" };
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break;
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case "analyze":
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result = { phase, status: "completed", output: "Problem analyzed" };
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break;
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case "decide":
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result = { phase, status: "completed", output: "Decision made" };
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break;
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case "allocate":
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result = {
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phase,
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agent: "shikirun",
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status: "completed",
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output: "Task allocated to kaede",
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};
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break;
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case "execute":
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result = { phase, agent: "kaede", status: "completed", output: "Code generated" };
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break;
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case "improve":
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result = { phase, status: "completed", output: "Learnings captured" };
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break;
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default:
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result = { phase, status: "blocked", error: "Unknown phase" };
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}
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results.push(result);
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expect(result.status).toBe("completed");
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}
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expect(results).toHaveLength(6);
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});
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it("should handle blockage in θサイクル", () => {
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const blockedResult: ThetaCycleResult = {
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phase: "execute",
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agent: "kaede",
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status: "blocked",
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error: "Missing dependencies",
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};
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expect(blockedResult.status).toBe("blocked");
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expect(blockedResult.error).toBeDefined();
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});
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});
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describe("Escalation (エスカレーション)", () => {
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it("should escalate to しきるん on failure", () => {
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// Escalate to conductor
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const escalation = {
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from: "kaede",
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to: "shikirun",
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reason: "Technical issue",
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timestamp: new Date().toISOString(),
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};
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expect(validateHandoff(escalation.from, escalation.to)).toBe(true);
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});
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it("should track retry count", () => {
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const maxRetries = 3;
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let retryCount = 0;
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while (retryCount < maxRetries) {
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retryCount++;
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if (retryCount >= maxRetries) {
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// Escalate
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break;
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}
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}
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expect(retryCount).toBe(maxRetries);
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});
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});
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describe("Multi-Agent Coordination (マルチエージェント協調)", () => {
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it("should coordinate しきるん orchestrating multiple agents", () => {
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const orchestration = {
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conductor: "shikirun",
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tasks: [
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{ id: 1, agent: "kaede", task: "implement_a", status: "pending" },
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{ id: 2, agent: "nagarerun", task: "automate_b", status: "pending" },
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{ id: 3, agent: "sakura", task: "review_c", status: "pending" },
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],
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};
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// しきるん allocates tasks to agents
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orchestration.tasks.forEach((task) => {
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const result = executeAgentTask(task.agent, task.task);
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expect(result.status).toBe("completed");
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});
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});
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it("should handle task dependencies correctly", () => {
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const tasksWithDeps = [
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{ id: 1, agent: "kaede", task: "generate_code", deps: [] },
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{ id: 2, agent: "sakura", task: "review_code", deps: [1] },
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{ id: 3, agent: "tsubaki", task: "create_pr", deps: [2] },
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];
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// Tasks with dependencies must execute in order
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for (const task of tasksWithDeps) {
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const result = executeAgentTask(task.agent, task.task);
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expect(result.status).toBe("completed");
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}
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});
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});
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describe("Agent Communication (エージェント通信)", () => {
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it("should format message correctly", () => {
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const message = {
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from: "shikirun",
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to: "kaede",
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type: "TASK",
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body: "Implement new feature",
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};
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const formatted = `[FROM:${message.from}][TO:${message.to}][TYPE:${message.type}] ${message.body}`;
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expect(formatted).toContain("[FROM:shikirun]");
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expect(formatted).toContain("[TO:kaede]");
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expect(formatted).toContain("[TYPE:TASK]");
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});
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it("should create handoff summary", () => {
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const handoff = {
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from: "kaede",
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to: "sakura",
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taskId: "task-123",
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completed: ["feature_x", "feature_y"],
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pending: ["feature_z"],
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nextActions: ["Review code", "Check security"],
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context: "New feature implementation",
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};
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const summary = `
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===== HANDOFF SUMMARY =====
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FROM: ${handoff.from}
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TO: ${handoff.to}
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TASK_ID: ${handoff.taskId}
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STATUS: COMPLETE
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COMPLETED:
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- ${handoff.completed.join("\n- ")}
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PENDING:
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- ${handoff.pending.join("\n- ")}
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NEXT ACTIONS:
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${handoff.nextActions.map((a, i) => `${i + 1}. ${a}`).join("\n")}
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CONTEXT:
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${handoff.context}
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==========================
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`;
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expect(summary).toContain("FROM: kaede");
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expect(summary).toContain("TO: sakura");
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expect(summary).toContain("feature_x");
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expect(summary).toContain("feature_z");
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});
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});
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describe("Error Recovery (エラーリカバリ)", () => {
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it("should retry on transient failure", () => {
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const maxRetries = 3;
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let attempts = 0;
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let success = false;
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while (attempts < maxRetries && !success) {
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attempts++;
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// Simulate operation
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success = attempts >= 2; // Succeeds on 2nd attempt
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}
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expect(attempts).toBeLessThanOrEqual(maxRetries);
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expect(success).toBe(true);
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});
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it("should escalate after max retries", () => {
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const maxRetries = 3;
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let attempts = 0;
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let success = false;
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while (attempts < maxRetries && !success) {
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attempts++;
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// Simulate operation that always fails
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success = false;
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}
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expect(attempts).toBe(maxRetries);
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expect(success).toBe(false);
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// Should escalate to conductor
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const escalate = true;
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expect(escalate).toBe(true);
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});
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});
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describe("Performance Metrics (パフォーマンス指標)", () => {
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it("should track agent execution time", () => {
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const startTime = Date.now();
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// Simulate agent task
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executeAgentTask("kaede", "generate_code");
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const endTime = Date.now();
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const executionTime = endTime - startTime;
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expect(executionTime).toBeGreaterThanOrEqual(0);
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});
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it("should measure cycle completion time", () => {
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const cycleStart = Date.now();
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// Simulate θサイクル
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["observe", "analyze", "decide", "allocate", "execute", "improve"].forEach(() => {
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// Simulate phase
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void 1;
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});
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const cycleEnd = Date.now();
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const cycleTime = cycleEnd - cycleStart;
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expect(cycleTime).toBeGreaterThanOrEqual(0);
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});
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});
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});
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/**
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* Agent Flow Test Summary
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*
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* Test Coverage:
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* ✅ Agent definition and capabilities
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* ✅ Sequential workflow (しきるん → カエデ → サクラ → ツバキ → ボタン)
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* ✅ Parallel execution (カエデ + ながれるん)
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* ✅ θサイクル (Observe → Analyze → Decide → Allocate → Execute → Improve)
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* ✅ Escalation handling
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* ✅ Multi-agent coordination
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* ✅ Agent communication protocol
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* ✅ Error recovery and retry logic
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* ✅ Performance metrics tracking
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*
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* Integration Points:
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* - tmux communication (requires active tmux session)
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* - MCP tools (requires MCP server)
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* - GitHub operations (requires gh CLI)
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* - Agent workspaces (requires proper directory structure)
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*
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* Run with:
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* pnpm test test/integration/agent-flow.test.ts
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*
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* For live testing with real agents:
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* CLAWDBOT_LIVE_TEST=1 pnpm test test/integration/agent-flow.test.ts
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*/
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