introduction-to-deep-learning/Intelligence Artificielle d.../gym/scripts/generate_json.py

99 lines
3.7 KiB
Python

from __future__ import unicode_literals
from gym import envs, spaces, logger
import json
import os
import sys
import argparse
from gym.envs.tests.spec_list import should_skip_env_spec_for_tests
from gym.envs.tests.test_envs_semantics import generate_rollout_hash, hash_object
DATA_DIR = os.path.join(os.path.dirname(__file__), os.pardir, 'gym', 'envs', 'tests')
ROLLOUT_STEPS = 100
episodes = ROLLOUT_STEPS
steps = ROLLOUT_STEPS
ROLLOUT_FILE = os.path.join(DATA_DIR, 'rollout.json')
if not os.path.isfile(ROLLOUT_FILE):
logger.info("No rollout file found. Writing empty json file to {}".format(ROLLOUT_FILE))
with open(ROLLOUT_FILE, "w") as outfile:
json.dump({}, outfile, indent=2)
def update_rollout_dict(spec, rollout_dict):
"""
Takes as input the environment spec for which the rollout is to be generated,
and the existing dictionary of rollouts. Returns True iff the dictionary was
modified.
"""
# Skip platform-dependent
if should_skip_env_spec_for_tests(spec):
logger.info("Skipping tests for {}".format(spec.id))
return False
# Skip environments that are nondeterministic
if spec.nondeterministic:
logger.info("Skipping tests for nondeterministic env {}".format(spec.id))
return False
logger.info("Generating rollout for {}".format(spec.id))
try:
observations_hash, actions_hash, rewards_hash, dones_hash = generate_rollout_hash(spec)
except:
# If running the env generates an exception, don't write to the rollout file
logger.warn("Exception {} thrown while generating rollout for {}. Rollout not added.".format(sys.exc_info()[0], spec.id))
return False
rollout = {}
rollout['observations'] = observations_hash
rollout['actions'] = actions_hash
rollout['rewards'] = rewards_hash
rollout['dones'] = dones_hash
existing = rollout_dict.get(spec.id)
if existing:
differs = False
for key, new_hash in rollout.items():
differs = differs or existing[key] != new_hash
if not differs:
logger.debug("Hashes match with existing for {}".format(spec.id))
return False
else:
logger.warn("Got new hash for {}. Overwriting.".format(spec.id))
rollout_dict[spec.id] = rollout
return True
def add_new_rollouts(spec_ids, overwrite):
environments = [spec for spec in envs.registry.all() if spec._entry_point is not None]
if spec_ids:
environments = [spec for spec in environments if spec.id in spec_ids]
assert len(environments) == len(spec_ids), "Some specs not found"
with open(ROLLOUT_FILE) as data_file:
rollout_dict = json.load(data_file)
modified = False
for spec in environments:
if not overwrite and spec.id in rollout_dict:
logger.debug("Rollout already exists for {}. Skipping.".format(spec.id))
else:
modified = update_rollout_dict(spec, rollout_dict) or modified
if modified:
logger.info("Writing new rollout file to {}".format(ROLLOUT_FILE))
with open(ROLLOUT_FILE, "w") as outfile:
json.dump(rollout_dict, outfile, indent=2, sort_keys=True)
else:
logger.info("No modifications needed.")
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--force', action='store_true', help='Overwrite '+
'existing rollouts if hashes differ.')
parser.add_argument('-v', '--verbose', action='store_true')
parser.add_argument('specs', nargs='*', help='ids of env specs to check (default: all)')
args = parser.parse_args()
if args.verbose:
logger.set_level(logger.INFO)
add_new_rollouts(args.specs, args.force)