MAGAIL4AutoDrive/test_vehicle_movement.py

"""
测试车辆是否能正常运动

使用固定的前进动作，观察车辆运动
"""

import sys
import time
sys.path.append('Env')

from Env.scenario_env import MultiAgentScenarioEnv
from Env.simple_idm_policy import ConstantVelocityPolicy
from metadrive.engine.asset_loader import AssetLoader

class FixedForwardPolicy:
    """固定前进策略 - 确保车辆运动"""
    def act(self):
        # 大油门直行
        return [0.0, 1.0]  # [转向, 油门]

def main():
    print("=" * 60)
    print("🚗 测试车辆运动")
    print("=" * 60)
    
    # 创建环境
    env = MultiAgentScenarioEnv(
        config={
            "data_directory": AssetLoader.file_path(
                "/home/huangfukk/MAGAIL4AutoDrive/Env", 
                "exp_converted", 
                unix_style=False
            ),
            "is_multi_agent": True,
            "num_controlled_agents": 3,
            "horizon": 500,
            "use_render": True,
            "sequential_seed": True,
            "reactive_traffic": True,
            "manual_control": False,
            "filter_offroad_vehicles": True,
            "lane_tolerance": 3.0,
            "max_controlled_vehicles": 3,
            "debug_lane_filter": False,
            "debug_traffic_light": False,
        },
        agent2policy=FixedForwardPolicy()
    )
    
    # 重置环境
    obs = env.reset(0)
    
    print(f"\n✅ 环境初始化完成")
    print(f"   可控车辆数: {len(env.controlled_agents)}")
    
    if len(env.controlled_agents) == 0:
        print("❌ 没有可控车辆！")
        return
    
    # 获取第一辆车
    first_vehicle = list(env.controlled_agents.values())[0]
    initial_pos = [first_vehicle.position[0], first_vehicle.position[1]]
    
    print(f"\n🚗 第一辆车初始状态:")
    print(f"   位置: {initial_pos}")
    print(f"   速度: {first_vehicle.speed:.2f} m/s")
    
    print(f"\n🎬 开始运行... (固定动作: 直行+满油门)")
    print(f"   按Ctrl+C停止\n")
    
    # 固定动作：直行 + 满油门
    fixed_action = [0.0, 1.0]  # [转向, 油门]
    
    for step in range(500):
        # 所有车辆使用相同的固定动作
        actions = {aid: fixed_action for aid in env.controlled_agents}
        
        # 步进
        obs, rewards, dones, infos = env.step(actions)
        
        # 渲染
        env.render(mode="topdown")
        time.sleep(0.05)  # 50ms延迟，看得更清楚
        
        # 每50步打印状态
        if step % 50 == 0 and step > 0:
            current_pos = [first_vehicle.position[0], first_vehicle.position[1]]
            distance = ((current_pos[0] - initial_pos[0])**2 + 
                       (current_pos[1] - initial_pos[1])**2) ** 0.5
            
            print(f"步数 {step:3d}:")
            print(f"   当前位置: ({current_pos[0]:.2f}, {current_pos[1]:.2f})")
            print(f"   当前速度: {first_vehicle.speed:.2f} m/s")
            print(f"   移动距离: {distance:.2f} m")
            print()
        
        if dones.get("__all__", False):
            print(f"✅ Episode完成于步数 {step}")
            break
    
    # 最终统计
    final_pos = [first_vehicle.position[0], first_vehicle.position[1]]
    total_distance = ((final_pos[0] - initial_pos[0])**2 + 
                     (final_pos[1] - initial_pos[1])**2) ** 0.5
    
    print(f"\n" + "=" * 60)
    print(f"📊 运动统计:")
    print(f"   初始位置: ({initial_pos[0]:.2f}, {initial_pos[1]:.2f})")
    print(f"   最终位置: ({final_pos[0]:.2f}, {final_pos[1]:.2f})")
    print(f"   总移动距离: {total_distance:.2f} m")
    print(f"   平均速度: {first_vehicle.speed:.2f} m/s")
    
    if total_distance < 1.0:
        print(f"\n❌ 警告: 车辆几乎没有移动！")
    else:
        print(f"\n✅ 车辆正常运动")
    
    print("=" * 60)
    
    env.close()

if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        print("\n\n⏹️  用户中断")
    except Exception as e:
        print(f"\n❌ 错误: {e}")
        import traceback
        traceback.print_exc()