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test_monitor.py
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import uuid
import json
import os
import pandas
import gym
from stable_baselines.bench import Monitor
from stable_baselines.bench.monitor import get_monitor_files, load_results
def test_monitor():
"""
test the monitor wrapper
"""
env = gym.make("CartPole-v1")
env.seed(0)
mon_file = "/tmp/stable_baselines-test-{}.monitor.csv".format(uuid.uuid4())
menv = Monitor(env, mon_file)
menv.reset()
for _ in range(1000):
_, _, done, _ = menv.step(0)
if done:
menv.reset()
file_handler = open(mon_file, 'rt')
firstline = file_handler.readline()
assert firstline.startswith('#')
metadata = json.loads(firstline[1:])
assert metadata['env_id'] == "CartPole-v1"
assert set(metadata.keys()) == {'env_id', 't_start'}, "Incorrect keys in monitor metadata"
last_logline = pandas.read_csv(file_handler, index_col=None)
assert set(last_logline.keys()) == {'l', 't', 'r'}, "Incorrect keys in monitor logline"
file_handler.close()
os.remove(mon_file)
def test_monitor_load_results(tmp_path):
"""
test load_results on log files produced by the monitor wrapper
"""
tmp_path = str(tmp_path)
env1 = gym.make("CartPole-v1")
env1.seed(0)
monitor_file1 = os.path.join(tmp_path, "stable_baselines-test-{}.monitor.csv".format(uuid.uuid4()))
monitor_env1 = Monitor(env1, monitor_file1)
monitor_files = get_monitor_files(tmp_path)
assert len(monitor_files) == 1
assert monitor_file1 in monitor_files
monitor_env1.reset()
episode_count1 = 0
for _ in range(1000):
_, _, done, _ = monitor_env1.step(monitor_env1.action_space.sample())
if done:
episode_count1 += 1
monitor_env1.reset()
results_size1 = len(load_results(os.path.join(tmp_path)).index)
assert results_size1 == episode_count1
env2 = gym.make("CartPole-v1")
env2.seed(0)
monitor_file2 = os.path.join(tmp_path, "stable_baselines-test-{}.monitor.csv".format(uuid.uuid4()))
monitor_env2 = Monitor(env2, monitor_file2)
monitor_files = get_monitor_files(tmp_path)
assert len(monitor_files) == 2
assert monitor_file1 in monitor_files
assert monitor_file2 in monitor_files
monitor_env2.reset()
episode_count2 = 0
for _ in range(1000):
_, _, done, _ = monitor_env2.step(monitor_env2.action_space.sample())
if done:
episode_count2 += 1
monitor_env2.reset()
results_size2 = len(load_results(os.path.join(tmp_path)).index)
assert results_size2 == (results_size1 + episode_count2)
os.remove(monitor_file1)
os.remove(monitor_file2)