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23afedb254
* Add auto formatting with black and isort * Reformat code * Ignore typing errors * Add note about line length * Add minimum version for isort * Add commit-checks * Update docker image * Fixed lost import (during last merge) * Fix opencv dependency
99 lines
3.2 KiB
Python
99 lines
3.2 KiB
Python
import json
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import os
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import uuid
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import gym
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import pandas
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from stable_baselines3.common.monitor import Monitor, get_monitor_files, load_results
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def test_monitor(tmp_path):
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"""
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Test the monitor wrapper
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"""
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env = gym.make("CartPole-v1")
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env.seed(0)
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monitor_file = os.path.join(str(tmp_path), "stable_baselines-test-{}.monitor.csv".format(uuid.uuid4()))
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monitor_env = Monitor(env, monitor_file)
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monitor_env.reset()
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total_steps = 1000
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ep_rewards = []
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ep_lengths = []
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ep_len, ep_reward = 0, 0
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for _ in range(total_steps):
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_, reward, done, _ = monitor_env.step(monitor_env.action_space.sample())
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ep_len += 1
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ep_reward += reward
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if done:
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ep_rewards.append(ep_reward)
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ep_lengths.append(ep_len)
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monitor_env.reset()
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ep_len, ep_reward = 0, 0
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monitor_env.close()
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assert monitor_env.get_total_steps() == total_steps
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assert sum(ep_lengths) == sum(monitor_env.get_episode_lengths())
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assert sum(monitor_env.get_episode_rewards()) == sum(ep_rewards)
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_ = monitor_env.get_episode_times()
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with open(monitor_file, "rt") as file_handler:
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first_line = file_handler.readline()
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assert first_line.startswith("#")
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metadata = json.loads(first_line[1:])
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assert metadata["env_id"] == "CartPole-v1"
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assert set(metadata.keys()) == {"env_id", "t_start"}, "Incorrect keys in monitor metadata"
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last_logline = pandas.read_csv(file_handler, index_col=None)
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assert set(last_logline.keys()) == {"l", "t", "r"}, "Incorrect keys in monitor logline"
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os.remove(monitor_file)
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def test_monitor_load_results(tmp_path):
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"""
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test load_results on log files produced by the monitor wrapper
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"""
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tmp_path = str(tmp_path)
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env1 = gym.make("CartPole-v1")
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env1.seed(0)
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monitor_file1 = os.path.join(tmp_path, "stable_baselines-test-{}.monitor.csv".format(uuid.uuid4()))
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monitor_env1 = Monitor(env1, monitor_file1)
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monitor_files = get_monitor_files(tmp_path)
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assert len(monitor_files) == 1
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assert monitor_file1 in monitor_files
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monitor_env1.reset()
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episode_count1 = 0
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for _ in range(1000):
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_, _, done, _ = monitor_env1.step(monitor_env1.action_space.sample())
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if done:
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episode_count1 += 1
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monitor_env1.reset()
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results_size1 = len(load_results(os.path.join(tmp_path)).index)
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assert results_size1 == episode_count1
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env2 = gym.make("CartPole-v1")
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env2.seed(0)
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monitor_file2 = os.path.join(tmp_path, "stable_baselines-test-{}.monitor.csv".format(uuid.uuid4()))
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monitor_env2 = Monitor(env2, monitor_file2)
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monitor_files = get_monitor_files(tmp_path)
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assert len(monitor_files) == 2
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assert monitor_file1 in monitor_files
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assert monitor_file2 in monitor_files
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monitor_env2.reset()
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episode_count2 = 0
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for _ in range(1000):
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_, _, done, _ = monitor_env2.step(monitor_env2.action_space.sample())
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if done:
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episode_count2 += 1
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monitor_env2.reset()
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results_size2 = len(load_results(os.path.join(tmp_path)).index)
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assert results_size2 == (results_size1 + episode_count2)
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os.remove(monitor_file1)
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os.remove(monitor_file2)
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