Module `TeachMyAgent.students.openai_baselines.bench.test_monitor`

Expand source code

from .monitor import Monitor
import gym
import json

def test_monitor():
    import pandas
    import os
    import uuid

    env = gym.make("CartPole-v1")
    env.seed(0)
    mon_file = "/tmp/baselines-test-%s.monitor.csv" % uuid.uuid4()
    menv = Monitor(env, mon_file)
    menv.reset()
    for _ in range(1000):
        _, _, done, _ = menv.step(0)
        if done:
            menv.reset()

    f = open(mon_file, 'rt')

    firstline = f.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(f, index_col=None)
    assert set(last_logline.keys()) == {'l', 't', 'r'}, "Incorrect keys in monitor logline"
    f.close()
    os.remove(mon_file)

Functions

def test_monitor()

Expand source code

def test_monitor():
    import pandas
    import os
    import uuid

    env = gym.make("CartPole-v1")
    env.seed(0)
    mon_file = "/tmp/baselines-test-%s.monitor.csv" % uuid.uuid4()
    menv = Monitor(env, mon_file)
    menv.reset()
    for _ in range(1000):
        _, _, done, _ = menv.step(0)
        if done:
            menv.reset()

    f = open(mon_file, 'rt')

    firstline = f.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(f, index_col=None)
    assert set(last_logline.keys()) == {'l', 't', 'r'}, "Incorrect keys in monitor logline"
    f.close()
    os.remove(mon_file)