stable-baselines3/tests/test_monitor.py
Antonin RAFFIN 40e0b9d2c8
Add Gymnasium support (#1327)
* Fix failing set_env test

* Fix test failiing due to deprectation of env.seed

* Adjust mean reward threshold in failing test

* Fix her test failing due to rng

* Change seed and revert reward threshold to 90

* Pin gym version

* Make VecEnv compatible with gym seeding change

* Revert change to VecEnv reset signature

* Change subprocenv seed cmd to call reset instead

* Fix type check

* Add backward compat

* Add `compat_gym_seed` helper

* Add goal env checks in env_checker

* Add docs on  HER requirements for envs

* Capture user warning in test with inverted box space

* Update ale-py version

* Fix randint

* Allow noop_max to be zero

* Update changelog

* Update docker image

* Update doc conda env and dockerfile

* Custom envs should not have any warnings

* Fix test for numpy >= 1.21

* Add check for vectorized compute reward

* Bump to gym 0.24

* Fix gym default step docstring

* Test downgrading gym

* Revert "Test downgrading gym"

This reverts commit 0072b77156c006ada8a1d6e26ce347ed85a83eeb.

* Fix protobuf error

* Fix in dependencies

* Fix protobuf dep

* Use newest version of cartpole

* Update gym

* Fix warning

* Loosen required scipy version

* Scipy no longer needed

* Try gym 0.25

* Silence warnings from gym

* Filter warnings during tests

* Update doc

* Update requirements

* Add gym 26 compat in vec env

* Fixes in envs and tests for gym 0.26+

* Enforce gym 0.26 api

* format

* Fix formatting

* Fix dependencies

* Fix syntax

* Cleanup doc and warnings

* Faster tests

* Higher budget for HER perf test (revert prev change)

* Fixes and update doc

* Fix doc build

* Fix breaking change

* Fixes for rendering

* Rename variables in monitor

* update render method for gym 0.26 API

backwards compatible (mode argument is allowed) while using the gym 0.26 API (render mode is determined at environment creation)

* update tests and docs to new gym render API

* undo removal of render modes metatadata check

* set rgb_array as default render mode for gym.make

* undo changes & raise warning if not 'rgb_array'

* Fix type check

* Remove recursion and fix type checking

* Remove hacks for protobuf and gym 0.24

* Fix type annotations

* reuse existing render_mode attribute

* return tiled images for 'human' render mode

* Allow to use opencv for human render, fix typos

* Add warning when using non-zero start with Discrete (fixes #1197)

* Fix type checking

* Bug fixes and handle more cases

* Throw proper warnings

* Update test

* Fix new metadata name

* Ignore numpy warnings

* Fixes in vec recorder

* Global ignore

* Filter local warning too

* Monkey patch not needed for gym 26

* Add doc of VecEnv vs Gym API

* Add render test

* Fix return type

* Update VecEnv vs Gym API doc

* Fix for custom render mode

* Fix return type

* Fix type checking

* check test env test_buffer

* skip render check

* check env test_dict_env

* test_env test_gae

* check envs in remaining tests

* Update tests

* Add warning for Discrete action space with non-zero (#1295)

* Fix atari annotation

* ignore get_action_meanings [attr-defined]

* Fix mypy issues

* Add patch for gym/gymnasium transition

* Switch to gymnasium

* Rely on signature instead of version

* More patches

* Type ignore because of https://github.com/Farama-Foundation/Gymnasium/pull/39

* Fix doc build

* Fix pytype errors

* Fix atari requirement

* Update env checker due to change in dtype for Discrete

* Fix type hint

* Convert spaces for saved models

* Ignore pytype

* Remove gitlab CI

* Disable pytype for convert space

* Fix undefined info

* Fix undefined info

* Upgrade shimmy

* Fix wrappers type annotation (need PR from Gymnasium)

* Fix gymnasium dependency

* Fix dependency declaration

* Cap pygame version for python 3.7

* Point to master branch (v0.28.0)

* Fix: use main not master branch

* Rename done to terminated

* Fix pygame dependency for python 3.7

* Rename gym to gymnasium

* Update Gymnasium

* Fix test

* Fix tests

* Forks don't have access to private variables

* Fix linter warnings

* Update read the doc env

* Fix env checker for GoalEnv

* Fix import

* Update env checker (more info) and fix dtype

* Use micromamab for Docker

* Update dependencies

* Clarify VecEnv doc

* Fix Gymnasium version

* Copy file only after mamba install

* [ci skip] Update docker doc

* Polish code

* Reformat

* Remove deprecated features

* Ignore warning

* Update doc

* Update examples and changelog

* Fix type annotation bundle (SAC, TD3, A2C, PPO, base class) (#1436)

* Fix SAC type hints, improve DQN ones

* Fix A2C and TD3 type hints

* Fix PPO type hints

* Fix on-policy type hints

* Fix base class type annotation, do not use defaults

* Update version

* Disable mypy for python 3.7

* Rename Gym26StepReturn

* Update continuous critic type annotation

* Fix pytype complain

---------

Co-authored-by: Carlos Luis <carlos.luisgonc@gmail.com>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Thomas Lips <37955681+tlpss@users.noreply.github.com>
Co-authored-by: tlips <thomas.lips@ugent.be>
Co-authored-by: tlpss <thomas17.lips@gmail.com>
Co-authored-by: Quentin GALLOUÉDEC <gallouedec.quentin@gmail.com>
2023-04-14 13:13:59 +02:00

111 lines
3.9 KiB
Python

import json
import os
import uuid
import gymnasium as gym
import pandas
from stable_baselines3.common.monitor import Monitor, get_monitor_files, load_results
def test_monitor(tmp_path):
"""
Test the monitor wrapper
"""
env = gym.make("CartPole-v1")
env.reset(seed=0)
monitor_file = os.path.join(str(tmp_path), f"stable_baselines-test-{uuid.uuid4()}.monitor.csv")
monitor_env = Monitor(env, monitor_file)
monitor_env.reset()
total_steps = 1000
ep_rewards = []
ep_lengths = []
ep_len, ep_reward = 0, 0
for _ in range(total_steps):
_, reward, terminated, truncated, _ = monitor_env.step(monitor_env.action_space.sample())
ep_len += 1
ep_reward += reward
if terminated or truncated:
ep_rewards.append(ep_reward)
ep_lengths.append(ep_len)
monitor_env.reset()
ep_len, ep_reward = 0, 0
monitor_env.close()
assert monitor_env.get_total_steps() == total_steps
assert sum(ep_lengths) == sum(monitor_env.get_episode_lengths())
assert sum(monitor_env.get_episode_rewards()) == sum(ep_rewards)
_ = monitor_env.get_episode_times()
with open(monitor_file) as file_handler:
first_line = file_handler.readline()
assert first_line.startswith("#")
metadata = json.loads(first_line[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"
os.remove(monitor_file)
# Check missing filename directories are created
monitor_dir = os.path.join(str(tmp_path), "missing-dir")
monitor_file = os.path.join(monitor_dir, f"stable_baselines-test-{uuid.uuid4()}.monitor.csv")
assert os.path.exists(monitor_dir) is False
_ = Monitor(env, monitor_file)
assert os.path.exists(monitor_dir) is True
os.remove(monitor_file)
os.rmdir(monitor_dir)
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.reset(seed=0)
monitor_file1 = os.path.join(tmp_path, f"stable_baselines-test-{uuid.uuid4()}.monitor.csv")
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):
_, _, terminated, truncated, _ = monitor_env1.step(monitor_env1.action_space.sample())
if terminated or truncated:
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.reset(seed=0)
monitor_file2 = os.path.join(tmp_path, f"stable_baselines-test-{uuid.uuid4()}.monitor.csv")
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
episode_count2 = 0
for _ in range(2):
# Test appending to existing file
monitor_env2 = Monitor(env2, monitor_file2, override_existing=False)
monitor_env2.reset()
for _ in range(1000):
_, _, terminated, truncated, _ = monitor_env2.step(monitor_env2.action_space.sample())
if terminated or truncated:
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)