"""
Autonomous Agentic Self-Healing Engine(2026 Standard)
Platform: AiStudio.id Enterprise Unified Gateway
"""

import asyncio
import json
import os
import subprocess
import tempfile
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
import httpx

# Konfigurasi Endpoint via AiStudio.id API Gateway
AISTUDIO_GATEWAY_URL = "https://api.aistudio.id/v1/chat/completions"
AISTUDIO_API_KEY = os.getenv("AISTUDIO_API_KEY", "sk-live-enterprise-gateway-key")

@dataclass
class ExecutionResult:
    stdout: str
    stderr: str
    exit_code: int
    execution_time_ms: float

@dataclass
class AgentState:
    task_description: str
    workspace_path: str
    iteration: int = 0
    max_iterations: int = 5
    history: List[Dict[str, Any]] = field(default_factory=list)
    resolved: bool = False

class SandboxedExecutionTool:
    """Mengisolasi eksekusi kode dalam lingkungan aman terpisah."""
    
    @staticmethod
    async def execute_python_in_sandbox(code: str, timeout_seconds: int = 15) -> ExecutionResult:
        with tempfile.NamedTemporaryFile(suffix=".py", mode="w", delete=False) as temp_file:
            temp_file.write(code)
            temp_path = temp_file.name

        try:
            start_time = asyncio.get_event_loop().time()
            process = await asyncio.create_subprocess_exec(
                "python3", temp_path,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE
            )
            
            try:
                stdout, stderr = await asyncio.wait_for(
                    process.communicate(), 
                    timeout=timeout_seconds
                )
                duration = (asyncio.get_event_loop().time() - start_time) * 1000
                return ExecutionResult(
                    stdout=stdout.decode("utf-8", errors="replace"),
                    stderr=stderr.decode("utf-8", errors="replace"),
                    exit_code=process.returncode or 0,
                    execution_time_ms=duration
                )
            except asyncio.TimeoutError:
                process.kill()
                return ExecutionResult("", "Error: Waktu eksekusi melampaui batas(Timeout).", -1, timeout_seconds * 1000)
        finally:
            if os.path.exists(temp_path):
                os.remove(temp_path)

class AutonomousCodingAgent:
    def __init__(self, model_name: str = "claude-3-7-sonnet-20250219"):
        self.model = model_name
        self.client = httpx.AsyncClient(
            headers={
                "Authorization": f"Bearer {AISTUDIO_API_KEY}",
                "Content-Type": "application/json",
                "X-Gateway-Routing": "low-latency-tier"
            },
            timeout=60.0
        )

    def _build_system_prompt(self) -> str:
        return (
            "Anda adalah Engine Rekayasa Perangkat Lunak Otonom Tingkat Lanjut 2026. "
            "Tugas Anda: Menerima spesifikasi sistem, merancang algoritma, mensintesis kode, "
            "menguji langsung di lingkungan eksekusi, menganalisis traceback kesalahan secara mandiri, "
            "dan melakukan iterasi hingga kode lolos uji 100% tanpa intervensi manusia.\n"
            "Gunakan format JSON terstruktur untuk merespons:\n"
            "{\n"
            '  "thought_process": "Penalaran arsitektural dan diagnosis bug...",\n'
            '  "code": "Kode Python lengkap yang siap diuji...",\n'
            '  "is_complete": true/false\n'
            "}"
        )

    async def run_cycle(self, task_spec: str) -> bool:
        state = AgentState(task_description=task_spec, workspace_path="./workspace")
        state.history.append({"role": "system", "content": self._build_system_prompt()})
        state.history.append({
            "role": "user", 
            "content": f"Spesifikasi Tugas:\n{task_spec}\nMulailah siklus sintesis dan pengujian."
        })

        print(f"[*] Menginisialisasi Agent Loop untuk tugas: '{task_spec}'")

        while state.iteration < state.max_iterations and not state.resolved:
            state.iteration += 1
            print(f"\n[Siklus {state.iteration}/{state.max_iterations}] Berpikir & Mensintesis Solusi...")

            payload = {
                "model": self.model,
                "messages": state.history,
                "temperature": 0.1,
                "response_format": {"type": "json_object"}
            }

            try:
                response = await self.client.post(AISTUDIO_GATEWAY_URL, json=payload)
                response.raise_for_status()
                data = response.json()
                content = json.loads(data["choices"][0]["message"]["content"])
            except Exception as e:
                print(f"[!] Kegagalan komunikasi API Gateway: {e}")
                break

            thought = content.get("thought_process", "")
            generated_code = content.get("code", "")
            is_complete = content.get("is_complete", False)

            print(f"[*] Nalar Agen: {thought[:180]}...")

            if not generated_code:
                print("[!] Agen tidak mengembalikan kode. Menghentikan loop.")
                break

            # Eksekusi Mandiri di Sandbox
            print("[*] Mengeksekusi kode di lingkungan Sandbox...")
            exec_res = await SandboxedExecutionTool.execute_python_in_sandbox(generated_code)

            if exec_res.exit_code == 0:
                print(f"[+] Eksekusi Berhasil({exec_res.execution_time_ms:.1f}ms).")
                print(f"[+] Output:\n{exec_res.stdout.strip()}")
                if is_complete:
                    state.resolved = True
                    print("\n[✓] Solusi terverifikasi secara deterministik. Siklus Selesai.")
                    return True
                else:
                    feedback = (
                        f"Kode berhasil dijalankan tanpa error runtime. Output:\n{exec_res.stdout}\n"
                        "Lanjutkan verifikasi atau selesaikan tugas dengan flag is_complete: true."
                    )
            else:
                print(f"[-] Terdeteksi Runtime Error(Exit Code: {exec_res.exit_code})")
                print(f"[-] Stderr:\n{exec_res.stderr.strip()}")
                feedback = (
                    f"Eksekusi Gagal dengan Exit Code {exec_res.exit_code}.\n"
                    f"Traceback Lengkap:\n{exec_res.stderr}\n"
                    "Analisis error di atas, diagnosa akar masalah, dan tulis ulang kodenya secara utuh."
                )

            # Memasukkan observasi ke memori kerja agen untuk refleksi siklus berikutnya
            state.history.append({"role": "assistant", "content": json.dumps(content)})
            state.history.append({"role": "user", "content": feedback})

        print("\n[x] Agen mencapai batas iterasi maksimum tanpa konvergensi sempurna.")
        return False

# Entry point demonstrasi
if __name__ == "__main__":
    problem_statement = (
        "Buat kelas LockFreeRingBuffer dengan metode enqueue dan dequeue thread-safe. "
        "Sertakan uji konkurensi mini menggunakan threading untuk memastikan tidak ada data race "
        "dan tidak ada elemen yang hilang di bawah 10 thread simultan."
    )
    agent = AutonomousCodingAgent()
    asyncio.run(agent.run_cycle(problem_statement))

/**
 * Multi-Agent State Graph Orchestrator(TypeScript / Node.js 2026)
 * Menggunakan Structured Outputs via AiStudio.id API Gateway
 */

import axios, { AxiosInstance } from 'axios';

interface SystemDesignNode {
  architecture: string;
  interfaces: string[];
  testInvariants: string[];
}

interface ValidationReport {
  passed: boolean;
  coveragePercentage: number;
  criticalFlaws: string[];
}

export class AgenticSwarmEngine {
  private client: AxiosInstance;

  constructor(apiKey: string) {
    this.client = axios.create({
      baseURL: 'https://api.aistudio.id/v1',
      headers: {
        Authorization: `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
    });
  }

  public async orchestrateTask(spec: string): Promise<string> {
    console.log(`[Swarm Orchestrator] Mengompilasi spesifikasi: "${spec}"`);

    // Fase 1: Perencanaan Arsitektural (Meta-Reasoning Node)
    const design = await this.invokeArchitectAgent(spec);
    console.log(`[Architect] Struktur rancangan selesai: ${design.interfaces.length} antarmuka didefinisikan.`);

    // Fase 2: Sintesis Implementasi & Pengujian Paralel
    let attempts = 0;
    let verified = false;
    let finalCode = '';

    while (!verified && attempts < 3) {
      attempts++;
      console.log(`[Swarm Iterasi ${attempts}] Menjalankan Coder & Verifier nodes...`);

      finalCode = await this.invokeCoderAgent(design, finalCode);
      const report = await this.invokeVerifierNode(finalCode, design.testInvariants);

      if (report.passed && report.coveragePercentage >= 95) {
        verified = true;
        console.log(`[Verifier] Verifikasi Berhasil! Cakupan Pengujian: ${report.coveragePercentage}%.`);
      } else {
        console.warn(`[Verifier] Cacat terdeteksi: ${report.criticalFlaws.join(', ')}`);
        design.architecture += `\nCatatan Perbaikan Sebelumnya: ${report.criticalFlaws.join('; ')}`;
      }
    }

    if (!verified) {
      throw new Error('Swarm gagal mencapai konvergensi kualitas dalam batas iterasi.');
    }

    return finalCode;
  }

  private async invokeArchitectAgent(spec: string): Promise<SystemDesignNode> {
    const response = await this.client.post('/chat/completions', {
      model: 'claude-opus-5.5',
      messages: [
        { role: 'system', content: 'Anda adalah Principal Software Architect. Rancang spesifikasi modul teknis.' },
        { role: 'user', content: spec },
      ],
      response_format: { type: 'json_object' },
    });
    return JSON.parse(response.data.choices[0].message.content);
  }

  private async invokeCoderAgent(design: SystemDesignNode, previousFailure: string): Promise<string> {
    const response = await this.client.post('/chat/completions', {
      model: 'gpt-6-swarm',
      messages: [
        { role: 'system', content: 'Anda adalah Pure Code Synthesizer. Hasilkan implementasi TypeScript murni.' },
        { role: 'user', content: `Desain: ${JSON.stringify(design)}\nKode Sebelumnya (jika ada): ${previousFailure}` },
      ],
    });
    return response.data.choices[0].message.content;
  }

  private async invokeVerifierNode(code: string, invariants: string[]): Promise<ValidationReport> {
    const response = await this.client.post('/chat/completions', {
      model: 'deepseek-v4-reasoner',
      messages: [
        { role: 'system', content: 'Anda adalah Rigorous Security & Verification Engine. Evaluasi invarian sistem.' },
        { role: 'user', content: `Kode:\n${code}\nInvarian yang wajib dipenuhi:\n${JSON.stringify(invariants)}` },
      ],
      response_format: { type: 'json_object' },
    });
    return JSON.parse(response.data.choices[0].message.content);
  }
}

+-------------------------------------------------------------------------+
|                  STRATIFIKASI TALENTA REKAYASA 2026                     |
+-------------------------------------------------------------------------+
|                                                                         |
|   [ LEVEL 3: INTENT & DOMAIN ARCHITECTS(Top 1%) ]                     |
|   - Spesifikasi Masalah Bisnis & Formulasi Invarian Sistem              |
|   - Evaluasi Keamanan, Etika & Kebijakan Data Global                    |
|   - Nilai Pasar: Eksponensial(1000x Value Creator)                     |
|                                                                         |
|                               ^                                         |
|                               | (Jurang Pemisah Kognitif)               |
|                               v                                         |
|                                                                         |
|   [ LEVEL 2: INFRASTRUCTURE & AGENTIC TUNERS(Top 10%) ]                |
|   - Pengelola Gateway API AI(AiStudio.id), Evaluasi Latensi / MoE      |
|   - Pengawas Sandbox Eksekusi & Orkestrator Swarm                       |
|                                                                         |
|                               ^                                         |
|                               | (Punah / Terkomoditisasi Penuh)         |
|                               v                                         |
|                                                                         |
|   [ LEVEL 1: MANUAL SYNTAX TYPISTS(Legacy 89%) ]                       |
|   - Menulis endpoint CRUD manual, Memperbaiki Typo CSS / Query SQL     |
|   - Nilai Pasar: Nol(Tergantikan oleh Autonomous Loop)                 |
|                                                                         |
+-------------------------------------------------------------------------+