def test_format_with_properties(
parser: OrionCmdlineParser,
cmd_with_properties: List[str],
hacked_exp: Experiment,
weird_argument: WeirdArgument,
):
"""Test if format correctly puts the value of `trial` and `exp` when used as properties"""
parser.parse(cmd_with_properties)
# NOTE: Also using a weird argument here, to make sure the parser is able to distinguish
# property look-up vs weird argument names.
trial = Trial(
experiment="trial_test",
params=[
{"name": "/lr", "type": "real", "value": -2.4},
{"name": "/prior", "type": "categorical", "value": "sgd"},
{
"name": f"/{weird_argument.name}",
"type": weird_argument.prior_type,
"value": weird_argument.value,
},
],
)
cmd_line = parser.format(None, trial=trial, experiment=hacked_exp)
assert trial.hash_name in cmd_line
assert "supernaedo2-dendi" in cmd_line
def test_format_commandline_only(
parser: OrionCmdlineParser, commandline: List[str], weird_argument: WeirdArgument
):
"""Format the commandline using only args."""
parser.parse(commandline)
trial = Trial(
params=[
{"name": "/lr", "type": "real", "value": -2.4},
{"name": "/prior", "type": "categorical", "value": "sgd"},
{"name": "/a.b", "type": "real", "value": 0.5},
{
"name": f"/{weird_argument.name}",
"type": weird_argument.prior_type,
"value": weird_argument.value,
},
]
)
cmd_inst = parser.format(trial=trial)
assert cmd_inst == [
"--seed",
"555",
"--lr",
"-2.4",
"--non-prior",
"choices({'sgd': 0.2, 'adam': 0.8})",
"--prior",
"sgd",
"--a.b",
"0.5",
f"--{weird_argument.name}",
f"{weird_argument.value}",
]
def test_format_without_config_path(
parser: OrionCmdlineParser,
commandline: List[str],
json_config: List[str],
tmp_path: Path,
json_converter: JSONConverter,
weird_argument: WeirdArgument,
):
"""Verify that parser.format() raises ValueError when config path not passed."""
cmd_args = json_config
cmd_args.extend(commandline)
parser.parse(cmd_args)
trial = Trial(
params=[
{"name": "/lr", "type": "real", "value": -2.4},
{"name": "/prior", "type": "categorical", "value": "sgd"},
{"name": "/layers/1/width", "type": "integer", "value": 100},
{"name": "/layers/1/type", "type": "categorical", "value": "relu"},
{"name": "/layers/2/type", "type": "categorical", "value": "sigmoid"},
{"name": "/training/lr0", "type": "real", "value": 0.032},
{"name": "/training/mbs", "type": "integer", "value": 64},
{"name": "/something-same", "type": "categorical", "value": "3"},
{
"name": f"/{weird_argument.name}",
"type": "categorical",
"value": weird_argument.value,
},
]
)
with pytest.raises(
ValueError, match="Cannot format without a `config_path` argument."
):
parser.format(trial=trial)
class SpaceBuilder(object):
"""Build a `Space` object form user's configuration."""
def __init__(self):
"""Initialize a `SpaceBuilder`."""
self.dimbuilder = DimensionBuilder()
self.space = None
self.commands_tmpl = None
self.converter = None
self.parser = None
def build_from(self, config):
"""Build a `Space` object from a configuration.
Initialize a new parser for this commandline and parse the given config then
build a `Space` object from that configuration.
Returns
-------
`orion.algo.space.Space`
The problem's search space definition.
"""
self.parser = OrionCmdlineParser(orion_config.user_script_config)
self.parser.parse(config)
return self.build(self.parser.priors)
def build(self, configuration):
"""Create a definition of the problem's search space.
Using information from the user's script configuration (if provided) and the
command line arguments, will create a `Space` object defining the problem's
search space.
Parameters
----------
configuration: OrderedDict
An OrderedDict containing the name and the expression of the parameters.
Returns
-------
`orion.algo.space.Space`
The problem's search space definition.
"""
self.space = Space()
for namespace, expression in configuration.items():
if _should_not_be_built(expression):
continue
expression = _remove_marker(expression)
dimension = self.dimbuilder.build(namespace, expression)
try:
self.space.register(dimension)
except ValueError as exc:
error_msg = 'Conflict for name \'{}\' in parameters'.format(
namespace)
raise ValueError(error_msg) from exc
return self.space
def build_to(self, config_path, trial, experiment=None):
"""Create the configuration for the user's script.
Using the configuration parser, create the commandline associated with the
user's script while replacing the correct instances of parameter distributions by
their actual values. If needed, the parser will also create a configuration file.
Parameters
----------
config_path: str
Path in which the configuration file instance will be created.
trial: `orion.core.worker.trial.Trial`
Object with concrete parameter values for the defined `Space`.
experiment: `orion.core.worker.experiment.Experiment`, optional
Object with information related to the current experiment.
Returns
-------
list
The commandline arguments that must be given to script for execution.
"""
return self.parser.format(config_path, trial, experiment)
class Consumer(object):
"""Consume a trial by using it to initialize a black-box box to evaluate it.
It uses an `Experiment` object to push an evaluated trial, if results are
delivered to the worker process successfully.
It forks another process which executes user's script with the suggested
options. It expects results to be written in a **JSON** file, whose path
has been defined in a special orion environmental variable which is set
into the child process' environment.
"""
def __init__(self, experiment):
"""Initialize a consumer.
:param experiment: Manager of this experiment, provides convenient
interface for interacting with the database.
"""
log.debug("Creating Consumer object.")
self.experiment = experiment
self.space = experiment.space
if self.space is None:
raise RuntimeError(
"Experiment object provided to Consumer has not yet completed"
" initialization.")
# Fetch space builder
self.template_builder = OrionCmdlineParser(
orion.core.config.user_script_config)
self.template_builder.set_state_dict(experiment.metadata['parser'])
# Get path to user's script and infer trial configuration directory
if experiment.working_dir:
self.working_dir = os.path.abspath(experiment.working_dir)
else:
self.working_dir = os.path.join(tempfile.gettempdir(), 'orion')
self.script_path = experiment.metadata['user_script']
self.pacemaker = None
def consume(self, trial):
"""Execute user's script as a block box using the options contained
within `trial`.
:type trial: `orion.core.worker.trial.Trial`
"""
log.debug("### Create new directory at '%s':", self.working_dir)
temp_dir = self.experiment.working_dir is None
prefix = self.experiment.name + "_"
suffix = trial.id
try:
with WorkingDir(self.working_dir,
temp_dir,
prefix=prefix,
suffix=suffix) as workdirname:
log.debug("## New consumer context: %s", workdirname)
trial.working_dir = workdirname
results_file = self._consume(trial, workdirname)
log.debug(
"## Parse results from file and fill corresponding Trial object."
)
self.experiment.update_completed_trial(trial, results_file)
except KeyboardInterrupt:
log.debug("### Save %s as interrupted.", trial)
self.experiment.set_trial_status(trial, status='interrupted')
raise
except ExecutionError:
log.debug("### Save %s as broken.", trial)
self.experiment.set_trial_status(trial, status='broken')
def get_execution_environment(self, trial, results_file='results.log'):
"""Set a few environment variables to allow users and
underlying processes to know if they are running under orion.
Parameters
----------
results_file: str
file used to store results, this is only used by the legacy protocol
trial: Trial
reference to the trial object that is going to be run
Notes
-----
This function defines the environment variables described below
.. envvar:: ORION_EXPERIMENT_ID
Current experiment that is being ran.
.. envvar:: ORION_EXPERIMENT_NAME
Name of the experiment the worker is currently working on.
.. envvar:: ORION_EXPERIMENT_VERSION
Version of the experiment the worker is currently working on.
.. envvar:: ORION_TRIAL_ID
Current trial id that is currently being executed in this process.
.. envvar:: ORION_WORKING_DIRECTORY
Trial's current working directory.
.. envvar:: ORION_RESULTS_PATH
Trial's results file that is read by the legacy protocol to get the results of the trial
after a successful run.
"""
env = dict(os.environ)
env['ORION_EXPERIMENT_ID'] = str(self.experiment.id)
env['ORION_EXPERIMENT_NAME'] = str(self.experiment.name)
env['ORION_EXPERIMENT_VERSION'] = str(self.experiment.version)
env['ORION_TRIAL_ID'] = str(trial.id)
env['ORION_WORKING_DIR'] = str(trial.working_dir)
env['ORION_RESULTS_PATH'] = str(results_file)
return env
def _consume(self, trial, workdirname):
config_file = tempfile.NamedTemporaryFile(mode='w',
prefix='trial_',
suffix='.conf',
dir=workdirname,
delete=False)
config_file.close()
log.debug("## New temp config file: %s", config_file.name)
results_file = tempfile.NamedTemporaryFile(mode='w',
prefix='results_',
suffix='.log',
dir=workdirname,
delete=False)
results_file.close()
log.debug("## New temp results file: %s", results_file.name)
log.debug(
"## Building command line argument and configuration for trial.")
env = self.get_execution_environment(trial, results_file.name)
cmd_args = self.template_builder.format(config_file.name, trial,
self.experiment)
log.debug(
"## Launch user's script as a subprocess and wait for finish.")
self.pacemaker = TrialPacemaker(trial)
self.pacemaker.start()
try:
self.execute_process(cmd_args, env)
finally:
# merciless
self.pacemaker.stop()
return results_file
def execute_process(self, cmd_args, environ):
"""Facilitate launching a black-box trial."""
command = [self.script_path] + cmd_args
signal.signal(signal.SIGTERM, _handler)
process = subprocess.Popen(command, env=environ)
return_code = process.wait()
if return_code != 0:
raise ExecutionError("Something went wrong. Check logs. Process "
"returned with code {} !".format(return_code))
def test_set_state_dict(
parser: OrionCmdlineParser,
commandline: List[str],
json_config: List[str],
tmp_path: Path,
json_converter,
weird_argument: WeirdArgument,
):
"""Test that set_state_dict sets state properly to generate new config."""
cmd_args = json_config
cmd_args.extend(commandline)
temp_parser: Optional[OrionCmdlineParser] = parser
assert temp_parser is not None
temp_parser.parse(cmd_args)
state = temp_parser.get_state_dict()
temp_parser = None
blank_parser = OrionCmdlineParser(allow_non_existing_files=True)
blank_parser.set_state_dict(state)
trial = Trial(
params=[
{"name": "/lr", "type": "real", "value": -2.4},
{"name": "/prior", "type": "categorical", "value": "sgd"},
{"name": "/layers/1/width", "type": "integer", "value": 100},
{"name": "/layers/1/type", "type": "categorical", "value": "relu"},
{"name": "/layers/2/type", "type": "categorical", "value": "sigmoid"},
{"name": "/training/lr0", "type": "real", "value": 0.032},
{"name": "/training/mbs", "type": "integer", "value": 64},
{"name": "/something-same", "type": "categorical", "value": "3"},
{"name": "/a.b", "type": "real", "value": 0.2},
{
"name": f"/{weird_argument.name}",
"type": weird_argument.prior_type,
"value": weird_argument.value,
},
]
)
output_file = str(tmp_path / "output.json")
cmd_inst = blank_parser.format(output_file, trial)
assert cmd_inst == [
"--config",
output_file,
"--seed",
"555",
"--lr",
"-2.4",
"--non-prior",
"choices({'sgd': 0.2, 'adam': 0.8})",
"--prior",
"sgd",
"--a.b",
"0.2",
f"--{weird_argument.name}",
f"{weird_argument.value}",
]
output_data = json_converter.parse(output_file)
assert output_data == {
"yo": 5,
"training": {"lr0": 0.032, "mbs": 64},
"layers": [
{"width": 64, "type": "relu"},
{"width": 100, "type": "relu"},
{"width": 16, "type": "sigmoid"},
],
"something-same": "3",
}
def test_format_commandline_and_config(
parser: OrionCmdlineParser,
commandline: List[str],
json_config: List[str],
tmp_path: Path,
json_converter,
weird_argument: WeirdArgument,
):
"""Format the commandline and a configuration file."""
cmd_args = json_config
cmd_args.extend(commandline)
parser.parse(cmd_args)
trial = Trial(
params=[
{"name": "/lr", "type": "real", "value": -2.4},
{"name": "/prior", "type": "categorical", "value": "sgd"},
{"name": "/layers/1/width", "type": "integer", "value": 100},
{"name": "/layers/1/type", "type": "categorical", "value": "relu"},
{"name": "/layers/2/type", "type": "categorical", "value": "sigmoid"},
{"name": "/training/lr0", "type": "real", "value": 0.032},
{"name": "/training/mbs", "type": "integer", "value": 64},
{"name": "/something-same", "type": "categorical", "value": "3"},
{"name": "/a.b", "type": "real", "value": 0.3},
{
"name": f"/{weird_argument.name}",
"type": f"{weird_argument.prior_type}",
"value": weird_argument.value,
},
]
)
output_file = str(tmp_path / "output.json")
cmd_inst = parser.format(output_file, trial)
assert cmd_inst == [
"--config",
output_file,
"--seed",
"555",
"--lr",
"-2.4",
"--non-prior",
"choices({'sgd': 0.2, 'adam': 0.8})",
"--prior",
"sgd",
"--a.b",
"0.3",
f"--{weird_argument.name}",
f"{weird_argument.value}",
]
output_data = json_converter.parse(output_file)
assert output_data == {
"yo": 5,
"training": {"lr0": 0.032, "mbs": 64},
"layers": [
{"width": 64, "type": "relu"},
{"width": 100, "type": "relu"},
{"width": 16, "type": "sigmoid"},
],
"something-same": "3",
}
def test_set_state_dict(parser, commandline, json_config, tmpdir,
json_converter):
"""Test that set_state_dict sets state properly to generate new config."""
cmd_args = json_config
cmd_args.extend(commandline)
parser.parse(cmd_args)
state = parser.get_state_dict()
parser = None
blank_parser = OrionCmdlineParser(allow_non_existing_files=True)
blank_parser.set_state_dict(state)
trial = Trial(params=[
{
"name": "/lr",
"type": "real",
"value": -2.4
},
{
"name": "/prior",
"type": "categorical",
"value": "sgd"
},
{
"name": "/layers/1/width",
"type": "integer",
"value": 100
},
{
"name": "/layers/1/type",
"type": "categorical",
"value": "relu"
},
{
"name": "/layers/2/type",
"type": "categorical",
"value": "sigmoid"
},
{
"name": "/training/lr0",
"type": "real",
"value": 0.032
},
{
"name": "/training/mbs",
"type": "integer",
"value": 64
},
{
"name": "/something-same",
"type": "categorical",
"value": "3"
},
])
output_file = str(tmpdir.join("output.json"))
cmd_inst = blank_parser.format(output_file, trial)
assert cmd_inst == [
"--config",
output_file,
"--seed",
"555",
"--lr",
"-2.4",
"--non-prior",
"choices({'sgd': 0.2, 'adam': 0.8})",
"--prior",
"sgd",
]
output_data = json_converter.parse(output_file)
assert output_data == {
"yo":
5,
"training": {
"lr0": 0.032,
"mbs": 64
},
"layers": [
{
"width": 64,
"type": "relu"
},
{
"width": 100,
"type": "relu"
},
{
"width": 16,
"type": "sigmoid"
},
],
"something-same":
"3",
}
def test_set_state_dict(parser, commandline, json_config, tmpdir,
json_converter):
"""Test that set_state_dict sets state properly to generate new config."""
cmd_args = json_config
cmd_args.extend(commandline)
parser.parse(cmd_args)
state = parser.get_state_dict()
parser = None
blank_parser = OrionCmdlineParser()
blank_parser.set_state_dict(state)
trial = Trial(params=[{
'name': '/lr',
'type': 'real',
'value': -2.4
}, {
'name': '/prior',
'type': 'categorical',
'value': 'sgd'
}, {
'name': '/layers/1/width',
'type': 'integer',
'value': 100
}, {
'name': '/layers/1/type',
'type': 'categorical',
'value': 'relu'
}, {
'name': '/layers/2/type',
'type': 'categorical',
'value': 'sigmoid'
}, {
'name': '/training/lr0',
'type': 'real',
'value': 0.032
}, {
'name': '/training/mbs',
'type': 'integer',
'value': 64
}, {
'name': '/something-same',
'type': 'categorical',
'value': '3'
}])
output_file = str(tmpdir.join("output.json"))
cmd_inst = blank_parser.format(output_file, trial)
assert cmd_inst == [
'--config', output_file, "--seed", "555", "--lr", "-2.4",
"--non-prior", "choices({'sgd': 0.2, 'adam': 0.8})", "--prior", "sgd"
]
output_data = json_converter.parse(output_file)
assert output_data == {
'yo':
5,
'training': {
'lr0': 0.032,
'mbs': 64
},
'layers': [{
'width': 64,
'type': 'relu'
}, {
'width': 100,
'type': 'relu'
}, {
'width': 16,
'type': 'sigmoid'
}],
'something-same':
'3'
}
class Consumer(object):
"""Consume a trial by using it to initialize a black-box box to evaluate it.
It uses an `Experiment` object to push an evaluated trial, if results are
delivered to the worker process successfully.
It forks another process which executes user's script with the suggested
options. It expects results to be written in a **JSON** file, whose path
has been defined in a special orion environmental variable which is set
into the child process' environment.
Parameters
----------
experiment: `orion.core.worker.experiment.Experiment`
Manager of this experiment, provides convenient interface for interacting with
the database.
heartbeat: int, optional
Frequency (seconds) at which the heartbeat of the trial is updated.
If the heartbeat of a `reserved` trial is larger than twice the configured
heartbeat, Oríon will reset the status of the trial to `interrupted`.
This allows restoring lost trials (ex: due to killed worker).
Defaults to ``orion.core.config.worker.heartbeat``.
user_script_config: str, optional
Config argument name of user's script (--config).
Defaults to ``orion.core.config.worker.user_script_config``.
interrupt_signal_code: int, optional
Signal returned by user script to signal to Oríon that it was interrupted.
Defaults to ``orion.core.config.worker.interrupt_signal_code``.
"""
def __init__(
self,
experiment,
heartbeat=None,
user_script_config=None,
interrupt_signal_code=None,
ignore_code_changes=None,
):
log.debug("Creating Consumer object.")
self.experiment = experiment
self.space = experiment.space
if self.space is None:
raise RuntimeError(
"Experiment object provided to Consumer has not yet completed"
" initialization.")
if heartbeat is None:
heartbeat = orion.core.config.worker.heartbeat
if user_script_config is None:
user_script_config = orion.core.config.worker.user_script_config
if interrupt_signal_code is None:
interrupt_signal_code = orion.core.config.worker.interrupt_signal_code
if ignore_code_changes is None:
ignore_code_changes = orion.core.config.evc.ignore_code_changes
self.heartbeat = heartbeat
self.interrupt_signal_code = interrupt_signal_code
self.ignore_code_changes = ignore_code_changes
# Fetch space builder
self.template_builder = OrionCmdlineParser(user_script_config)
self.template_builder.set_state_dict(experiment.metadata["parser"])
# Get path to user's script and infer trial configuration directory
if experiment.working_dir:
self.working_dir = os.path.abspath(experiment.working_dir)
else:
self.working_dir = os.path.join(tempfile.gettempdir(), "orion")
self.pacemaker = None
def consume(self, trial):
"""Execute user's script as a block box using the options contained
within `trial`.
Parameters
----------
trial: `orion.core.worker.trial.Trial`
Orion trial to execute.
Returns
-------
bool
True if the trial was successfully executed. False if the trial is broken.
"""
log.debug("### Create new directory at '%s':", self.working_dir)
temp_dir = not bool(self.experiment.working_dir)
prefix = self.experiment.name + "_"
suffix = trial.id
try:
with WorkingDir(self.working_dir,
temp_dir,
prefix=prefix,
suffix=suffix) as workdirname:
log.debug("## New consumer context: %s", workdirname)
trial.working_dir = workdirname
results_file = self._consume(trial, workdirname)
log.debug(
"## Parse results from file and fill corresponding Trial object."
)
self.experiment.update_completed_trial(trial, results_file)
success = True
except KeyboardInterrupt:
log.debug("### Save %s as interrupted.", trial)
self.experiment.set_trial_status(trial, status="interrupted")
raise
except ExecutionError:
log.debug("### Save %s as broken.", trial)
self.experiment.set_trial_status(trial, status="broken")
success = False
return success
def get_execution_environment(self, trial, results_file="results.log"):
"""Set a few environment variables to allow users and
underlying processes to know if they are running under orion.
Parameters
----------
results_file: str
file used to store results, this is only used by the legacy protocol
trial: Trial
reference to the trial object that is going to be run
Notes
-----
This function defines the environment variables described below
.. envvar:: ORION_EXPERIMENT_ID
:noindex:
Current experiment that is being ran.
.. envvar:: ORION_EXPERIMENT_NAME
:noindex:
Name of the experiment the worker is currently working on.
.. envvar:: ORION_EXPERIMENT_VERSION
:noindex:
Version of the experiment the worker is currently working on.
.. envvar:: ORION_TRIAL_ID
:noindex:
Current trial id that is currently being executed in this process.
.. envvar:: ORION_WORKING_DIRECTORY
:noindex:
Trial's current working directory.
.. envvar:: ORION_RESULTS_PATH
:noindex:
Trial's results file that is read by the legacy protocol to get the results of the trial
after a successful run.
"""
env = dict(os.environ)
env["ORION_EXPERIMENT_ID"] = str(self.experiment.id)
env["ORION_EXPERIMENT_NAME"] = str(self.experiment.name)
env["ORION_EXPERIMENT_VERSION"] = str(self.experiment.version)
env["ORION_TRIAL_ID"] = str(trial.id)
env["ORION_WORKING_DIR"] = str(trial.working_dir)
env["ORION_RESULTS_PATH"] = str(results_file)
env["ORION_INTERRUPT_CODE"] = str(self.interrupt_signal_code)
return env
def _consume(self, trial, workdirname):
config_file = tempfile.NamedTemporaryFile(mode="w",
prefix="trial_",
suffix=".conf",
dir=workdirname,
delete=False)
config_file.close()
log.debug("## New temp config file: %s", config_file.name)
results_file = tempfile.NamedTemporaryFile(mode="w",
prefix="results_",
suffix=".log",
dir=workdirname,
delete=False)
results_file.close()
log.debug("## New temp results file: %s", results_file.name)
log.debug(
"## Building command line argument and configuration for trial.")
env = self.get_execution_environment(trial, results_file.name)
cmd_args = self.template_builder.format(config_file.name, trial,
self.experiment)
log.debug(
"## Launch user's script as a subprocess and wait for finish.")
self._validate_code_version()
self.pacemaker = TrialPacemaker(trial, self.heartbeat)
self.pacemaker.start()
try:
self.execute_process(cmd_args, env)
finally:
# merciless
self.pacemaker.stop()
return results_file
def _validate_code_version(self):
if self.ignore_code_changes:
return
old_config = self.experiment.configuration
new_config = copy.deepcopy(old_config)
new_config["metadata"]["VCS"] = infer_versioning_metadata(
old_config["metadata"]["user_script"])
# Circular import
from orion.core.evc.conflicts import CodeConflict
conflicts = list(CodeConflict.detect(old_config, new_config))
if conflicts:
raise BranchingEvent(
f"Code changed between execution of 2 trials:\n{conflicts[0]}")
# pylint: disable = no-self-use
def execute_process(self, cmd_args, environ):
"""Facilitate launching a black-box trial."""
command = cmd_args
signal.signal(signal.SIGTERM, _handler)
try:
process = subprocess.Popen(command, env=environ)
except PermissionError:
log.debug("### Script is not executable")
raise InexecutableUserScript(" ".join(cmd_args))
return_code = process.wait()
if return_code == self.interrupt_signal_code:
raise KeyboardInterrupt()
elif return_code != 0:
raise ExecutionError("Something went wrong. Check logs. Process "
"returned with code {} !".format(return_code))
class Consumer(object):
"""Consume a trial by using it to initialize a black-box box to evaluate it.
It uses an `Experiment` object to push an evaluated trial, if results are
delivered to the worker process successfully.
It forks another process which executes user's script with the suggested
options. It expects results to be written in a **JSON** file, whose path
has been defined in a special orion environmental variable which is set
into the child process' environment.
Parameters
----------
experiment: `orion.core.worker.experiment.Experiment`
Manager of this experiment, provides convenient interface for interacting with
the database.
heartbeat: int, optional
Frequency (seconds) at which the heartbeat of the trial is updated.
If the heartbeat of a `reserved` trial is larger than twice the configured
heartbeat, Oríon will reset the status of the trial to `interrupted`.
This allows restoring lost trials (ex: due to killed worker).
Defaults to ``orion.core.config.worker.heartbeat``.
user_script_config: str, optional
Config argument name of user's script (--config).
Defaults to ``orion.core.config.worker.user_script_config``.
interrupt_signal_code: int, optional
Signal returned by user script to signal to Oríon that it was interrupted.
Defaults to ``orion.core.config.worker.interrupt_signal_code``.
"""
def __init__(
self,
experiment,
user_script_config=None,
interrupt_signal_code=None,
ignore_code_changes=None,
):
log.debug("Creating Consumer object.")
self.experiment = experiment
self.space = experiment.space
if self.space is None:
raise RuntimeError(
"Experiment object provided to Consumer has not yet completed"
" initialization."
)
if user_script_config is None:
user_script_config = orion.core.config.worker.user_script_config
if interrupt_signal_code is None:
interrupt_signal_code = orion.core.config.worker.interrupt_signal_code
# NOTE: If ignore_code_changes is None, we can assume EVC is enabled.
if ignore_code_changes is None:
ignore_code_changes = orion.core.config.evc.ignore_code_changes
self.interrupt_signal_code = interrupt_signal_code
self.ignore_code_changes = ignore_code_changes
# Fetch space builder
self.template_builder = OrionCmdlineParser(user_script_config)
self.template_builder.set_state_dict(experiment.metadata["parser"])
self.pacemaker = None
def __call__(self, trial, **kwargs):
"""Execute user's script as a block box using the options contained
within ``trial``.
Parameters
----------
trial: `orion.core.worker.trial.Trial`
Orion trial to execute.
Returns
-------
bool
True if the trial was successfully executed. False if the trial is broken.
"""
log.debug("Consumer context: %s", trial.working_dir)
os.makedirs(trial.working_dir, exist_ok=True)
results_file = self._consume(trial, trial.working_dir)
log.debug("Parsing results from file and fill corresponding Trial object.")
results = self.retrieve_results(results_file)
return results
def retrieve_results(self, results_file):
"""Retrive the results from the file"""
try:
results = JSONConverter().parse(results_file.name)
except json.decoder.JSONDecodeError:
raise MissingResultFile()
return results
def get_execution_environment(self, trial, results_file="results.log"):
"""Set a few environment variables to allow users and
underlying processes to know if they are running under orion.
Parameters
----------
results_file: str
file used to store results, this is only used by the legacy protocol
trial: Trial
reference to the trial object that is going to be run
Notes
-----
This function defines the environment variables described below
.. envvar:: ORION_EXPERIMENT_ID
:noindex:
Current experiment that is being ran.
.. envvar:: ORION_EXPERIMENT_NAME
:noindex:
Name of the experiment the worker is currently working on.
.. envvar:: ORION_EXPERIMENT_VERSION
:noindex:
Version of the experiment the worker is currently working on.
.. envvar:: ORION_TRIAL_ID
:noindex:
Current trial id that is currently being executed in this process.
.. envvar:: ORION_WORKING_DIRECTORY
:noindex:
Trial's current working directory.
.. envvar:: ORION_RESULTS_PATH
:noindex:
Trial's results file that is read by the legacy protocol to get the results of the trial
after a successful run.
"""
env = dict(os.environ)
env["ORION_EXPERIMENT_ID"] = str(self.experiment.id)
env["ORION_EXPERIMENT_NAME"] = str(self.experiment.name)
env["ORION_EXPERIMENT_VERSION"] = str(self.experiment.version)
env["ORION_TRIAL_ID"] = str(trial.id)
env["ORION_WORKING_DIR"] = str(trial.working_dir)
env["ORION_RESULTS_PATH"] = str(results_file)
env["ORION_INTERRUPT_CODE"] = str(self.interrupt_signal_code)
return env
def _consume(self, trial, workdirname):
config_file = tempfile.NamedTemporaryFile(
mode="w", prefix="trial_", suffix=".conf", dir=workdirname, delete=False
)
config_file.close()
log.debug("New temp config file: %s", config_file.name)
results_file = tempfile.NamedTemporaryFile(
mode="w", prefix="results_", suffix=".log", dir=workdirname, delete=False
)
results_file.close()
log.debug("New temp results file: %s", results_file.name)
log.debug("Building command line argument and configuration for trial.")
env = self.get_execution_environment(trial, results_file.name)
cmd_args = self.template_builder.format(
config_file.name, trial, self.experiment
)
log.debug("Launch user's script as a subprocess and wait for finish.")
self._validate_code_version()
self.execute_process(cmd_args, env)
return results_file
def _validate_code_version(self):
old_config = self.experiment.configuration
new_config = copy.deepcopy(old_config)
new_config["metadata"]["VCS"] = infer_versioning_metadata(
old_config["metadata"]["user_script"]
)
# Circular import
from orion.core.evc.conflicts import CodeConflict
conflicts = list(CodeConflict.detect(old_config, new_config))
if conflicts and not self.ignore_code_changes:
raise BranchingEvent(
f"Code changed between execution of 2 trials:\n{conflicts[0]}"
)
elif conflicts:
log.warning(
"Code changed between execution of 2 trials. Enable EVC with option "
"`ignore_code_changes` set to False to raise an error when trials are executed "
"with different versions. For more information, see documentation at "
"https://orion.readthedocs.io/en/stable/user/config.html#experiment-version-control"
)
# pylint: disable = no-self-use
def execute_process(self, cmd_args, environ):
"""Facilitate launching a black-box trial."""
command = cmd_args
try:
process = subprocess.Popen(command, env=environ)
except PermissionError:
log.debug("Script is not executable")
raise InexecutableUserScript(" ".join(cmd_args))
return_code = process.wait()
log.debug(f"Script finished with return code {return_code}")
if return_code != 0:
raise ExecutionError(return_code)