Harshitjhamb/Meta_Hackathon

1import subprocess2import sys3 4subprocess.check_call([sys.executable, "-m", "pip", "install", "openai", "requests", "-q"])5 6 7import asyncio8import os9import textwrap10import requests11from typing import List, Optional12from openai import OpenAI13 14API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY") or "dummy"15API_BASE_URL = os.getenv("API_BASE_URL") or "https://router.huggingface.co/v1"16MODEL_NAME = os.getenv("MODEL_NAME") or "Qwen/Qwen2.5-72B-Instruct"17ENV_URL = os.getenv("ENV_URL") or "https://harshitjhamb-meta-hackathon.hf.space"18TASK_NAME = os.getenv("TASK_NAME") or "easy"19BENCHMARK = "traffic-env"20MAX_STEPS = 821TEMPERATURE = 0.722MAX_TOKENS = 15023SUCCESS_SCORE_THRESHOLD = 0.124MAX_TOTAL_REWARD = MAX_STEPS * 10.025 26SYSTEM_PROMPT = textwrap.dedent("""27    You are an AI agent controlling traffic signals.28    You will receive the current lane vehicle counts and must choose which lane (0-3) to give the green signal.29    Respond with only a single integer: 0, 1, 2, or 3.30""").strip()31 32def log_start(task: str, env: str, model: str) -> None:33    print(f"[START] task={task} env={env} model={model}", flush=True)34 35def log_step(step: int, action: str, reward: float, done: bool, error: Optional[str]) -> None:36    error_val = error if error else "null"37    done_val = str(done).lower()38    print(f"[STEP] step={step} action={action} reward={reward:.2f} done={done_val} error={error_val}", flush=True)39 40def log_end(success: bool, steps: int, score: float, rewards: List[float]) -> None:41    rewards_str = ",".join(f"{r:.2f}" for r in rewards)42    print(f"[END] success={str(success).lower()} steps={steps} score={score:.3f} rewards={rewards_str}", flush=True)43 44def get_action(client: OpenAI, lanes: List[int], step: int, history: List[str]) -> int:45    history_block = "\n".join(history[-4:]) if history else "None"46    user_prompt = textwrap.dedent(f"""47        Step: {step}48        Current lane vehicle counts: {lanes}49        Previous steps:50        {history_block}51        Which lane (0-3) should get the green signal? Reply with only a single integer.52    """).strip()53    try:54        completion = client.chat.completions.create(55            model=MODEL_NAME,56            messages=[57                {"role": "system", "content": SYSTEM_PROMPT},58                {"role": "user", "content": user_prompt},59            ],60            temperature=TEMPERATURE,61            max_tokens=MAX_TOKENS,62        )63        text = (completion.choices[0].message.content or "").strip()64        return int(text[0]) % 465    except Exception as exc:66        print(f"[DEBUG] Model request failed: {exc}", flush=True)67        return 068 69def main() -> None:70    client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)71    history: List[str] = []72    rewards: List[float] = []73    steps_taken = 074    score = 0.075    success = False76 77    log_start(task=TASK_NAME, env=BENCHMARK, model=MODEL_NAME)78 79    try:80        # Reset environment81        res = requests.post(f"{ENV_URL}/reset", timeout=30)82        obs = res.json()["observation"]83        lanes = obs["lanes"]84 85        for step in range(1, MAX_STEPS + 1):86            action = get_action(client, lanes, step, history)87 88            res = requests.post(f"{ENV_URL}/step", json={"signal": action}, timeout=30)89            result = res.json()90            obs = result["observation"]91            lanes = obs["lanes"]92            reward = float(result.get("reward", 0.0))93            done = result.get("done", False)94 95            rewards.append(reward)96            steps_taken = step97            log_step(step=step, action=str(action), reward=reward, done=done, error=None)98            history.append(f"Step {step}: signal={action} lanes={lanes} reward={reward:+.2f}")99 100            if done:101                break102 103        score = sum(rewards) / MAX_TOTAL_REWARD if MAX_TOTAL_REWARD > 0 else 0.0104        score = min(max(score, 0.0), 1.0)105        success = score >= SUCCESS_SCORE_THRESHOLD106 107    except Exception as e:108        print(f"[DEBUG] Exception: {e}", flush=True)109 110    log_end(success=success, steps=steps_taken, score=score, rewards=rewards)111 112if __name__ == "__main__":113    main()