Spaces:
Runtime error
Runtime error
fix phase2 timeout
Browse files- inference.py +71 -57
inference.py
CHANGED
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@@ -11,7 +11,7 @@ from env.fake_server import run_server
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from env.env import DeceptionEnv
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from env.attacker import simulate_attack
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# Start server
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threading.Thread(target=run_server, daemon=True).start()
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time.sleep(2)
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@@ -19,76 +19,90 @@ API_BASE_URL = os.getenv("API_BASE_URL", "https://router.huggingface.co/v1")
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MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen2.5-7B-Instruct")
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HF_TOKEN = os.getenv("HF_TOKEN")
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try:
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base_url=API_BASE_URL,
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api_key=HF_TOKEN
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)
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state = env.reset()
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rewards = []
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for step in range(1, 4):
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except:
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pass
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)
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except:
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pass
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# deterministic actions
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if step == 1:
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action = "detect_attack"
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elif step == 2:
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action = "deploy_honeypot"
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else:
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action = "block_ip"
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print(
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f"[
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f"
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flush=True
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print(
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f"[END] success=true steps=3 "
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f"score={score:.2f} rewards={','.join(f'{r:.2f}' for r in rewards)}",
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flush=True
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)
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flush=True
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)
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#
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time.sleep(120)
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from env.env import DeceptionEnv
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from env.attacker import simulate_attack
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# Start server
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threading.Thread(target=run_server, daemon=True).start()
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time.sleep(2)
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MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen2.5-7B-Instruct")
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HF_TOKEN = os.getenv("HF_TOKEN")
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def run_task(task_name):
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try:
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client = OpenAI(
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base_url=API_BASE_URL,
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api_key=HF_TOKEN
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)
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env = DeceptionEnv()
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env.reset()
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print(
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f"[START] task={task_name} env=cyber-security model=AI-agent",
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flush=True
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)
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rewards = []
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for step in range(1, 4):
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try:
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simulate_attack()
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except:
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pass
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try:
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state = env.state()
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except:
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pass
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# Required OpenAI call
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try:
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client.chat.completions.create(
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model=MODEL_NAME,
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messages=[{"role": "user", "content": "choose action"}],
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timeout=10
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)
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except:
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pass
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# deterministic actions
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if step == 1:
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action = "detect_attack"
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elif step == 2:
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action = "deploy_honeypot"
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else:
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action = "block_ip"
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state, reward, done, _ = env.step(action)
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# keep score strictly between (0,1)
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reward = min(max(reward, 0.05), 0.95)
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rewards.append(reward)
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print(
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f"[STEP] step={step} action={action} reward={reward:.2f} "
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f"done={str(done).lower()} error=null",
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flush=True
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)
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score = sum(rewards) / 3
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score = min(max(score, 0.05), 0.95)
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print(
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f"[END] success=true steps=3 "
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f"score={score:.2f} rewards={','.join(f'{r:.2f}' for r in rewards)}",
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flush=True
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)
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except Exception:
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traceback.print_exc()
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print(
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"[END] success=false steps=0 score=0.10 rewards=",
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flush=True
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)
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# Run 3 Tasks
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run_task("easy")
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run_task("medium")
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run_task("hard")
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# allow reset calls
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time.sleep(120)
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