def _register_from_config_yaml(self, id):
if '.' in id:
collection = id[:id.rfind('.')]
elif self._default_collection is not None:
collection = self._default_collection
else:
raise error.Error('Could not determine collection from ID, and no default_collection set: {}'.format(id))
try:
collection_info = self._collections[collection]
except KeyError:
raise error.UnregisteredCollection('Could not load requested id={}. That belongs to the {} collection, but this runtime supports {}. Perhaps that was a typo, or you meant to use a different runtime?'.format(id, collection, ', '.join(self._collections.keys())))
srcdir = collection_info['srcdir']
default_task = collection_info['default_task']
path = os.path.abspath(os.path.join(srcdir, id, 'config.yml'))
if not os.path.exists(path):
raise error.UnregisteredEnv('Could not load spec for {}: no such file {}'.format(id, path), path)
with open(path) as f:
data = yaml.load(f)
try:
spec = data['spec']
except KeyError:
reraise(suffix='while examining data from {}'.format(path))
constructor_name = spec.pop('type', default_task)
constructor = utils.load(constructor_name)
spec.pop('id', None)
task = constructor(id=id, **spec)
self._tasks[id] = task
def build(self, spec):
spec = spec.copy()
type = spec.pop('type', 'score')
if type == 'average_score':
return AverageScore(**spec)
elif type == 'negative_score':
return NegativeScore(**spec)
elif type == 'score':
return Score(**spec)
else:
raise error.Error('Invalid reward_type: %s', type)
def load(cls, src_dir, src, spec):
if isinstance(spec, list):
transitions = [cls.from_spec(src_dir, src, t) for t in spec]
return TransitionList(transitions)
type = spec.pop('type')
if type == 'ClickTransition':
return ClickTransition(src, **spec)
elif type == 'KeyPressTransition':
return KeyPressTransition(src, **spec)
elif type == 'DragTransition':
return DragTransition(src, **spec)
else:
raise error.Error('Bad transition type: {}'.format(spec['type']))
def set_reward_parser(self, env_info):
self.env_id = env_info['env_id']
self._episode_id = env_info['episode_id']
# If in demo mode, let the demonstration code know what env is
# active
write_env_id(self.env_id)
if self.env_id is None:
return
self.controlplane_spec = gym_controlplane.spec(self.env_id)
self.spec = gym.spec(self.env_id)
# This is quite slow (usually 100-200ms) so just be careful
# about calling it too much. We also have some suspicions that
# the scorer TF graph may leak memory but haven't needed to
# investigate.
self.reward_parser = self.controlplane_spec.build_reward_parser(
load_vexpect=not self.no_vexpect, load_scorer=not self.no_scorer)
# All the pixels needed for vexpect/scoring.
subscription = self.reward_parser.subscription()
if subscription is not None:
subscription = [tuple(sub) for sub in subscription]
metadata_encoding = self.spec.tags.get('metadata_encoding')
if metadata_encoding is not None and subscription is not None:
if metadata_encoding['type'] == 'qrcode':
subscription += [
(metadata_encoding['x'], metadata_encoding['width'],
metadata_encoding['y'], metadata_encoding['height'])
]
else:
raise error.Error(
'Unsupported metadata encoding type: {}'.format(
metadata_encoding))
# Should fix this up and abstract
# probe_key = self.spec.tags.get('action_probe')
probe_key = 0x60
logger.info('Using metadata_encoding=%s probe_key=%s subscription=%s',
metadata_encoding, probe_key, subscription)
# Just subscribe to the parts of the screen we're going to care about
self.env.unwrapped.diagnostics.update(
metadata_encoding=metadata_encoding,
probe_key=probe_key,
)
self.env.unwrapped.vnc_session.update(
name=self.env.unwrapped.connection_names[0], # hack
subscription=subscription or [],
)
def load(cls, src_dir, state_name, spec):
spec = spec.copy()
type = spec.pop('type')
try:
if type == 'ImageMatchState':
return ImageMatchState(src_dir=src_dir,
state_name=state_name,
**spec)
if type == 'MaskState':
return MaskState.load(src_dir=src_dir,
state_name=state_name,
**spec)
else:
raise error.Error('Bad state type: {}'.format(type))
except error.Error:
raise
except:
reraise(suffix='(while applying: state_name={} spec={})'.format(
state_name, spec))
def _scorer(self, scorer):
if scorer['type'] == 'DefaultScorer':
loaded = reward.DefaultScorer(
digits_path='{}/digits'.format(self.id),
crop_coords=scorer['crop_coords'],
digit_color=scorer['digit_color'],
color_tol=scorer['color_tol'],
min_overlap=scorer['min_overlap'],
min_spacing=scorer['min_spacing'],
max_spacing=scorer.get('max_spacing'))
elif scorer['type'] == 'OCRScorerV0':
loaded = reward.OCRScorerV0(
model_path=scorer['model_path'],
crop_coords=scorer['crop_coords'],
prob_threshold=scorer['prob_threshold'],
median_filter_size=scorer.get('median_filter_size'),
max_delta=scorer.get('max_delta', None),
)
else:
raise error.Error('Unsupported scorer type: {}'.format(scorer['type']))
logger.info('Loaded scorer: %s', loaded)
return loaded
def _setup(self):
if not self.controlplane_spec:
return
elif not os.path.exists(self.controlplane_spec.vexpect_path):
# TODO: DRY this up
logger.info(
'[%s] Skipping vexpect initialization since no macro present',
utils.thread_name())
return
elif self.no_vexpect:
logger.info('[%s] Skipping vexpect initialization as configured',
utils.thread_name())
return
cmd = [
os.path.abspath(
os.path.join(os.path.dirname(__file__),
'../bin/play_vexpect')), '-e',
self.controlplane_spec.id, '-r', self.vnc_address, '-d'
]
logger.info('[%s] Running command: %s', utils.thread_name(),
utils.pretty_command(cmd))
proc = subprocess.Popen(cmd)
manual_subprocess_cleanup[proc.pid] = proc
proc.communicate()
del manual_subprocess_cleanup[proc.pid]
if proc.returncode == 0:
return
elif proc.returncode == 10:
logger.info(
'[%s] RESET CAUSE: VExpect failed with returncode 10, which means it timed out internally. Going to trigger a reset.',
utils.thread_name())
self.trigger_reset()
return 'fail'
else:
raise error.Error('Bad returncode {} from {}'.format(
proc.returncode, utils.pretty_command(cmd)))
def imread(path):
import cv2
if not os.path.exists(path):
raise error.Error('Image path does not exist: {}'.format(path))
return cv2.cvtColor(cv2.imread(path), cv2.COLOR_BGR2RGB)
