File size: 2,865 Bytes
fcc38f9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | import requests
import json
import time
import numpy as np
BASE_URL = "http://localhost:5002"
def debug_server():
print(f"Testing Server at {BASE_URL}...")
# 1. Health Check
try:
resp = requests.get(f"{BASE_URL}/health")
print("Health Check:", resp.json())
except Exception as e:
print(f"Cannot connect to server: {e}")
return
# 2. Create Environments (模拟 Batch 创建)
# 假设你的 env_config.yaml 对应的环境名是 'sokoban' 或者其他 registered env
# 这里你需要根据你实际的 REGISTERED_ENV 填入正确的 env_name
# 既然你之前的 log 里有 train86, train94，说明是批量创建的
env_ids = [f"debug_env_{i}" for i in range(4)] # 测试 4 个并行环境
ids2configs = {
eid: {
"env_name": "sokoban", # <--- 请确认这里是你 yaml 里的正确环境名
# "task_name": "...", # 如果需要额外的 config 请补充
}
for eid in env_ids
}
print(f"\nCreating {len(env_ids)} environments...")
resp = requests.post(f"{BASE_URL}/environments", json={"ids2configs": ids2configs})
if resp.status_code != 200:
print("Create failed:", resp.text)
return
print("Success.")
# 3. Reset Batch (这是你报错的地方)
print("\nResetting environments (This usually triggers Vulkan errors)...")
ids2seeds = {eid: 42 + i for i, eid in enumerate(env_ids)}
start_time = time.time()
resp = requests.post(f"{BASE_URL}/batch/reset", json={"ids2seeds": ids2seeds})
if resp.status_code != 200:
print("Reset failed:", resp.text)
else:
results = resp.json().get("results", {})
print(f"Reset success! Took {time.time() - start_time:.2f}s")
# 打印一下 Observation 的形状确认渲染成功
first_obs = list(results.values())[0][0]
# 假设 obs 包含图片
if isinstance(first_obs, dict) and 'image' in first_obs:
print(f"Obs Image Shape: {np.array(first_obs['image']).shape}")
else:
print("Obs structure keys:", first_obs.keys() if isinstance(first_obs, dict) else "Not a dict")
# 4. Step Batch
print("\nStepping environments...")
# 构造一个随机动作，具体格式取决于你的环境 Action Space
# 这里假设是一个简单的 Discrete 动作或者 Text 动作
ids2actions = {eid: "move up" for eid in env_ids}
resp = requests.post(f"{BASE_URL}/batch/step", json={"ids2actions": ids2actions})
if resp.status_code == 200:
print("Step success.")
else:
print("Step failed:", resp.text)
# 5. Clean up
print("\nClosing environments...")
requests.post(f"{BASE_URL}/batch/close", json={"env_ids": env_ids})
print("Done.")
if __name__ == "__main__":
debug_server() |