def _evaluate(self, dispatch_url, ee_id):
asyncio.set_event_loop(asyncio.get_event_loop())
try:
with Client(dispatch_url) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_STARTED,
"source": f"/ert/ee/{self._ee_id}",
}, )
c.send(to_json(event).decode())
self.run_flow(ee_id)
with Client(dispatch_url) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_STOPPED,
"source": f"/ert/ee/{self._ee_id}",
"datacontenttype": "application/octet-stream",
},
cloudpickle.dumps(self.config["outputs"]),
)
c.send(to_json(event).decode())
except Exception as e:
logger.exception(
"An exception occurred while starting the ensemble evaluation",
exc_info=True,
)
with Client(dispatch_url) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_FAILED,
"source": f"/ert/ee/{self._ee_id}",
}, )
c.send(to_json(event).decode())
def run_job(self, client: Client, job: Any, run_path: Path):
shell_cmd = [
job.get_executable().as_posix(),
*[os.path.expandvars(arg) for arg in job.get_args()],
]
env = os.environ.copy()
env.update({
"PATH":
(run_path / _BIN_FOLDER).as_posix() + ":" + os.environ["PATH"]
})
cmd_exec = subprocess.run(
shell_cmd,
universal_newlines=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=run_path.as_posix(),
env=env,
)
self.logger.info(cmd_exec.stderr)
self.logger.info(cmd_exec.stdout)
if cmd_exec.returncode != 0:
self.logger.error(cmd_exec.stderr)
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_FAILURE,
ev_source=job.get_source(self._ee_id),
ev_data={ids.ERROR_MSG: cmd_exec.stderr},
)
raise OSError(
f"Script {job.get_name()} failed with exception {cmd_exec.stderr}"
)
def run_jobs(self, client: Client, run_path: Path):
for job in self._step.get_jobs():
self.logger.info(f"Running command {job.get_name()}")
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_START,
ev_source=job.get_source(self._ee_id),
)
self.run_job(client, job, run_path)
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_SUCCESS,
ev_source=job.get_source(self._ee_id),
)
def _evaluate(self):
get_event_loop()
try:
with Client(
self._ee_config.dispatch_uri,
self._ee_config.token,
self._ee_config.cert,
) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_STARTED,
"source": f"/ert/ee/{self._ee_id}",
}, )
c.send(to_json(event).decode())
with prefect.context(
url=self._ee_config.dispatch_uri,
token=self._ee_config.token,
cert=self._ee_config.cert,
):
self.run_flow(self._ee_id)
with Client(
self._ee_config.dispatch_uri,
self._ee_config.token,
self._ee_config.cert,
) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_STOPPED,
"source": f"/ert/ee/{self._ee_id}",
"datacontenttype": "application/octet-stream",
},
cloudpickle.dumps(self._outputs),
)
c.send(to_json(event).decode())
except Exception as e:
logger.exception(
"An exception occurred while starting the ensemble evaluation",
exc_info=True,
)
with Client(
self._ee_config.dispatch_uri,
self._ee_config.token,
self._ee_config.cert,
) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_ENSEMBLE_FAILED,
"source": f"/ert/ee/{self._ee_id}",
}, )
c.send(to_json(event).decode())
def run(self, inputs=None):
with tempfile.TemporaryDirectory() as run_path:
run_path = Path(run_path)
self._load_and_dump_input(transmitters=inputs, runpath=run_path)
with Client(prefect.context.url, prefect.context.token,
prefect.context.cert) as ee_client:
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_RUNNING,
ev_source=self._step.get_source(self._ee_id),
)
outputs = {}
self.run_jobs(ee_client, run_path)
futures = []
for output in self._step.get_outputs():
if not (run_path / output.get_path()).exists():
raise FileNotFoundError(
f"Output file {output.get_path()} was not generated!"
)
outputs[output.get_name()] = self._output_transmitters[
output.get_name()]
futures.append(outputs[output.get_name()].transmit_file(
run_path / output.get_path(), output.get_mime()))
asyncio.get_event_loop().run_until_complete(
asyncio.gather(*futures))
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_SUCCESS,
ev_source=self._step.get_source(self._ee_id),
)
return outputs
def test_invalid_server():
port = 7777
host = "localhost"
url = f"ws://{host}:{port}"
with Client(url, max_retries=2, timeout_multiplier=2) as c1:
with pytest.raises((ConnectionRefusedError, OSError)):
c1.send("hei")
def test_on_task_failure_fail_step(unused_tcp_port, tmpdir):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ensemble = _MockedPrefectEnsemble()
mock_ws_thread.start()
script_location = (
Path(SOURCE_DIR) /
"test-data/local/prefect_test_case/unix_test_retry_script.py")
input_ = script_transmitter("script", script_location, storage_path=tmpdir)
with tmp() as runpath:
step = get_step(
step_name="test_step",
inputs=[("script", Path("unix_test_retry_script.py"),
"application/x-python")],
outputs=[],
jobs=[("script", Path("unix_test_retry_script.py"), [runpath])],
type_="unix",
)
with prefect.context(url=url, token=None, cert=None):
output_trans = step_output_transmitters(step, storage_path=tmpdir)
with Flow("testing") as flow:
task = step.get_task(
output_transmitters=output_trans,
ee_id="test_ee_id",
max_retries=1,
retry_delay=timedelta(seconds=1),
on_failure=mock_ensemble._on_task_failure,
)
result = task(inputs=input_)
flow_run = flow.run()
# Stop the mock evaluator WS server
with Client(url) as c:
c.send("stop")
mock_ws_thread.join()
task_result = flow_run.result[result]
assert not task_result.is_successful()
assert not flow_run.is_successful()
fail_job_messages = [
msg for msg in messages if ids.EVTYPE_FM_JOB_FAILURE in msg
]
fail_step_messages = [
msg for msg in messages if ids.EVTYPE_FM_STEP_FAILURE in msg
]
expected_job_failed_messages = 2
expected_step_failed_messages = 1
assert expected_job_failed_messages == len(fail_job_messages)
assert expected_step_failed_messages == len(fail_step_messages)
def _send_event(type_: str,
source: str,
data: Optional[Dict[str, Any]] = None) -> None:
with Client(prefect.context.url, prefect.context.token,
prefect.context.cert) as client:
client.send_event(
ev_type=type_,
ev_source=source,
ev_data=data,
)
async def send_cloudevent(self,
url,
event,
token=None,
cert=None,
retries=1):
client = Client(url, token, cert)
await client._send(
to_json(event, data_marshaller=serialization.evaluator_marshaller))
await client.websocket.close()
def _evaluate(self, client_url, dispatch_url, ee_id):
super()._evaluate(dispatch_url, ee_id)
with Client(client_url) as client:
client.send(
to_json(
CloudEvent({
"type": identifiers.EVTYPE_EE_USER_DONE,
"source": f"/ert/ee/{ee_id}",
"id": f"event-user-done",
})))
def _on_task_failure(task, state, url):
if prefect_context.task_run_count > task.max_retries:
with Client(url) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_FM_STEP_FAILURE,
"source": task.get_step()._source,
"datacontenttype": "application/json",
},
{"error_msg": state.message},
)
c.send(to_json(event).decode())
def test_function_step(unused_tcp_port, tmpdir):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ws_thread.start()
test_values = {"values": [42, 24, 6]}
inputs = input_transmitter("values",
test_values["values"],
storage_path=tmpdir)
def sum_function(values):
return [sum(values)]
step = get_step(
step_name="test_step",
inputs=[("values", "NA", "text/whatever")],
outputs=[("output", Path("output.out"), "application/json")],
jobs=[("test_function", cloudpickle.dumps(sum_function), None)],
type_="function",
)
with prefect.context(url=url, token=None, cert=None):
output_trans = step_output_transmitters(step, storage_path=tmpdir)
with Flow("testing") as flow:
task = step.get_task(output_transmitters=output_trans,
ee_id="test_ee_id")
result = task(inputs=inputs)
with tmp():
flow_run = flow.run()
# Stop the mock evaluator WS server
with Client(url) as c:
c.send("stop")
mock_ws_thread.join()
task_result = flow_run.result[result]
assert task_result.is_successful()
assert flow_run.is_successful()
assert len(task_result.result) == 1
expected_uri = output_trans["output"]._uri
output_uri = task_result.result["output"]._uri
assert expected_uri == output_uri
transmitted_record = asyncio.get_event_loop().run_until_complete(
task_result.result["output"].load())
transmitted_result = transmitted_record.data
expected_result = sum_function(**test_values)
assert expected_result == transmitted_result
def run_job(
self,
job: _FunctionJob,
transmitters: _stage_transmitter_mapping,
client: Client,
) -> _stage_transmitter_mapping:
self.logger.info(f"Running function {job.name}")
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_START,
ev_source=job.source(self._ee_id),
)
try:
function: Callable[..., Any] = pickle.loads(job.command)
output = self._attempt_execute(func=function, transmitters=transmitters)
except Exception as e:
self.logger.error(str(e))
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_FAILURE,
ev_source=job.source(self._ee_id),
ev_data={ids.ERROR_MSG: str(e)},
)
raise e
else:
client.send_event(
ev_type=ids.EVTYPE_FM_JOB_SUCCESS,
ev_source=job.source(self._ee_id),
)
return output
def test_ensure_multi_level_events_in_order(evaluator):
with evaluator.run() as monitor:
events = monitor.track()
token = evaluator._config.token
cert = evaluator._config.cert
url = evaluator._config.url
snapshot_event = next(events)
assert snapshot_event["type"] == identifiers.EVTYPE_EE_SNAPSHOT
with Client(url + "/dispatch", cert=cert, token=token) as dispatch1:
send_dispatch_event(
dispatch1,
identifiers.EVTYPE_ENSEMBLE_STARTED,
f"/ert/ee/{evaluator._ee_id}/ensemble",
"event0",
{},
)
send_dispatch_event(
dispatch1,
identifiers.EVTYPE_FM_STEP_SUCCESS,
f"/ert/ee/{evaluator._ee_id}/real/0/step/0",
"event1",
{},
)
send_dispatch_event(
dispatch1,
identifiers.EVTYPE_FM_STEP_SUCCESS,
f"/ert/ee/{evaluator._ee_id}/real/1/step/0",
"event2",
{},
)
send_dispatch_event(
dispatch1,
identifiers.EVTYPE_ENSEMBLE_STOPPED,
f"/ert/ee/{evaluator._ee_id}/ensemble",
"event3",
{},
)
monitor.signal_done()
events = list(events)
# Without making too many assumptions about what events to expect, it
# should be reasonable to expect that if an event contains information
# about realizations, the state of the ensemble up until that point
# should be not final (i.e. not cancelled, stopped, failed).
ensemble_state = snapshot_event.data.get("status")
for event in events:
if event.data:
if "reals" in event.data:
assert ensemble_state == ENSEMBLE_STATE_STARTED
ensemble_state = event.data.get("status", ensemble_state)
async def send_cloudevent( # pylint: disable=too-many-arguments
self,
url: str,
event: CloudEvent,
token: Optional[str] = None,
cert: Optional[Union[str, bytes]] = None,
retries: int = 1,
) -> None:
client = Client(url, token, cert)
await client._send(to_json(event,
data_marshaller=evaluator_marshaller))
assert client.websocket # mypy
await client.websocket.close()
def _send_event(type_: str,
source: str,
data: Optional[Dict[str, Any]] = None) -> None:
with Client(
prefect.context.url, # type: ignore # pylint: disable=no-member
prefect.context.token, # type: ignore # pylint: disable=no-member
prefect.context.cert, # type: ignore # pylint: disable=no-member
) as client:
client.send_event(
ev_type=type_,
ev_source=source,
ev_data=data,
)
def _on_task_failure(self, task, state):
if prefect_context.task_run_count > task.max_retries:
url = prefect_context.url
token = prefect_context.token
cert = prefect_context.cert
with Client(url, token, cert) as c:
event = CloudEvent(
{
"type": ids.EVTYPE_FM_STEP_FAILURE,
"source": task.get_step().get_source(self._ee_id),
"datacontenttype": "application/json",
},
{"error_msg": state.message},
)
c.send(to_json(event).decode())
def run(self, inputs: Dict[str, "ert3.data.RecordTransmitter"]):
with Client(self._step.get_ee_url()) as ee_client:
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_RUNNING,
ev_source=self._step.get_source(self._ee_id),
)
output = self.run_job(
job=self._step.get_jobs()[0], transmitters=inputs, client=ee_client
)
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_SUCCESS,
ev_source=self._step.get_source(self._ee_id),
)
return output
def _on_task_failure(
task: Union[UnixTask, FunctionTask], state: State, ee_id: str
) -> None:
if prefect_context.task_run_count > task.max_retries:
url = prefect_context.url
token = prefect_context.token
cert = prefect_context.cert
with Client(url, token, cert) as c:
event = CloudEvent(
{
"type": EVTYPE_FM_STEP_FAILURE,
"source": task.step.source(ee_id),
"datacontenttype": "application/json",
},
{"error_msg": state.message},
)
c.send(to_json(event).decode())
def test_unix_step_error(unused_tcp_port, tmpdir):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ws_thread.start()
script_location = (Path(SOURCE_DIR) /
"test-data/local/prefect_test_case/unix_test_script.py")
input_ = script_transmitter("test_script",
script_location,
storage_path=tmpdir)
step = get_step(
step_name="test_step",
inputs=[("test_script", Path("unix_test_script.py"),
"application/x-python")],
outputs=[("output", Path("output.out"), "application/json")],
jobs=[("test_script", Path("unix_test_script.py"), ["foo", "bar"])],
type_="unix",
)
with prefect.context(url=url, token=None, cert=None):
output_trans = step_output_transmitters(step, storage_path=tmpdir)
with Flow("testing") as flow:
task = step.get_task(output_transmitters=output_trans,
ee_id="test_ee_id")
result = task(inputs=input_)
with tmp():
flow_run = flow.run()
# Stop the mock evaluator WS server
with Client(url) as c:
c.send("stop")
mock_ws_thread.join()
task_result = flow_run.result[result]
assert not task_result.is_successful()
assert not flow_run.is_successful()
assert isinstance(task_result.result, Exception)
assert ("unix_test_script.py: error: unrecognized arguments: bar"
in task_result.message)
def test_unix_task(unused_tcp_port, tmpdir):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ws_thread.start()
script_location = (Path(SOURCE_DIR) /
"test-data/local/prefect_test_case/unix_test_script.py")
input_ = script_transmitter("script", script_location, storage_path=tmpdir)
step = get_step(
step_name="test_step",
inputs=[("script", Path("unix_test_script.py"), "application/x-python")
],
outputs=[("output", Path("output.out"), "application/json")],
jobs=[("script", Path("unix_test_script.py"), ["vas"])],
url=url,
type_="unix",
)
output_trans = step_output_transmitters(step, storage_path=tmpdir)
with Flow("testing") as flow:
task = step.get_task(output_transmitters=output_trans,
ee_id="test_ee_id")
result = task(inputs=input_)
with tmp():
flow_run = flow.run()
# Stop the mock evaluator WS server
with Client(url) as c:
c.send("stop")
mock_ws_thread.join()
task_result = flow_run.result[result]
assert task_result.is_successful()
assert flow_run.is_successful()
assert len(task_result.result) == 1
expected_uri = output_trans["output"]._uri
output_uri = task_result.result["output"]._uri
assert expected_uri == output_uri
def test_successful_sending(unused_tcp_port):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ws_thread.start()
messages_c1 = ["test_1", "test_2", "test_3", "stop"]
with Client(url) as c1:
for msg in messages_c1:
c1.send(msg)
mock_ws_thread.join()
for msg in messages_c1:
assert msg in messages
def run(self, inputs: Dict[str, "RecordTransmitter"]): # type: ignore
with Client(
prefect.context.url, prefect.context.token, prefect.context.cert
) as ee_client:
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_RUNNING,
ev_source=self._step.get_source(self._ee_id),
)
output = self.run_job(
job=self._step.get_jobs()[0], transmitters=inputs, client=ee_client
)
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_SUCCESS,
ev_source=self._step.get_source(self._ee_id),
)
return output
def test_retry(unused_tcp_port):
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(
target=partial(_mock_ws, messages=messages, delay_startup=2),
args=(
host,
unused_tcp_port,
),
)
mock_ws_thread.start()
messages_c1 = ["test_1", "test_2", "test_3", "stop"]
with Client(url, max_retries=2, timeout_multiplier=2) as c1:
for msg in messages_c1:
c1.send(msg)
mock_ws_thread.join()
for msg in messages_c1:
assert msg in messages
def run(self, inputs: _stage_transmitter_mapping): # type: ignore # pylint: disable=arguments-differ # noqa
with Client(
prefect.context.url, # type: ignore # pylint: disable=no-member
prefect.context.token, # type: ignore # pylint: disable=no-member
prefect.context.cert, # type: ignore # pylint: disable=no-member
) as ee_client:
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_RUNNING,
ev_source=self.step.source(self._ee_id),
)
job = self.step.jobs[0]
if not isinstance(job, _FunctionJob):
raise TypeError(f"unexpected job {type(job)} in function task")
output = self.run_job(job=job, transmitters=inputs, client=ee_client)
ee_client.send_event(
ev_type=ids.EVTYPE_FM_STEP_SUCCESS,
ev_source=self.step.source(self._ee_id),
)
return output
def _evaluate(self, url, ee_id):
event_id = 0
with Client(url + "/dispatch") as dispatch:
send_dispatch_event(
dispatch,
identifiers.EVTYPE_ENSEMBLE_STARTED,
f"/ert/ee/{ee_id}",
f"event-{event_id}",
None,
)
if self.fails:
event_id = event_id + 1
send_dispatch_event(
dispatch,
identifiers.EVTYPE_ENSEMBLE_FAILED,
f"/ert/ee/{ee_id}",
f"event-{event_id}",
None,
)
return
event_id = event_id + 1
for real in range(0, self.reals):
for step in range(0, self.steps):
job_failed = False
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_STEP_UNKNOWN,
f"/ert/ee/{ee_id}/real/{real}/step/{step}",
f"event-{event_id}",
None,
)
event_id = event_id + 1
for job in range(0, self.jobs):
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_JOB_RUNNING,
f"/ert/ee/{ee_id}/real/{real}/step/{step}/job/{job}",
f"event-{event_id}",
{"current_memory_usage": 1000},
)
event_id = event_id + 1
if self._shouldFailJob(real, step, job):
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_JOB_FAILURE,
f"/ert/ee/{ee_id}/real/{real}/step/{step}/job/{job}",
f"event-{event_id}",
{},
)
event_id = event_id + 1
job_failed = True
break
else:
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_JOB_SUCCESS,
f"/ert/ee/{ee_id}/real/{real}/step/{step}/job/{job}",
f"event-{event_id}",
{"current_memory_usage": 1000},
)
event_id = event_id + 1
if job_failed:
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_STEP_FAILURE,
f"/ert/ee/{ee_id}/real/{real}/step/{step}/job/{job}",
f"event-{event_id}",
{},
)
event_id = event_id + 1
else:
send_dispatch_event(
dispatch,
identifiers.EVTYPE_FM_STEP_SUCCESS,
f"/ert/ee/{ee_id}/real/{real}/step/{step}/job/{job}",
f"event-{event_id}",
{},
)
event_id = event_id + 1
data = self.result if self.result else None
extra_attrs = {}
if self.result_datacontenttype:
extra_attrs["datacontenttype"] = self.result_datacontenttype
send_dispatch_event(
dispatch,
identifiers.EVTYPE_ENSEMBLE_STOPPED,
f"/ert/ee/{ee_id}",
f"event-{event_id}",
data,
**extra_attrs,
)
def test_function_step_for_function_defined_outside_py_environment(
unused_tcp_port, tmpdir):
# Create temporary module that defines a function `bar`
# 'bar' returns a call to different function 'internal_call' defined in the same python file
with tmpdir.as_cwd():
module_path = Path(tmpdir) / "foo"
module_path.mkdir()
init_file = module_path / "__init__.py"
init_file.touch()
file_path = module_path / "bar.py"
file_path.write_text(
"def bar(values):\n return internal_call(values)\n"
"def internal_call(values):\n return [sum(values)]\n")
spec = importlib.util.spec_from_file_location("foo", str(file_path))
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
func = getattr(module, "bar")
# Check module is not in the python environment
with pytest.raises(ModuleNotFoundError):
import foo.bar
host = "localhost"
url = f"ws://{host}:{unused_tcp_port}"
messages = []
mock_ws_thread = threading.Thread(target=partial(_mock_ws,
messages=messages),
args=(host, unused_tcp_port))
mock_ws_thread.start()
test_values = {"values": [42, 24, 6]}
inputs = input_transmitter("values",
test_values["values"],
storage_path=tmpdir)
step = get_step(
step_name="test_step",
inputs=[("values", "NA", "text/whatever")],
outputs=[("output", Path("output.out"), "application/json")],
jobs=[("test_function", cloudpickle.dumps(func), None)],
type_="function",
)
expected_result = func(**test_values)
# Make sure the function is no longer available before we start creating the flow and task
del func
with prefect.context(url=url, token=None, cert=None):
output_trans = step_output_transmitters(step, storage_path=tmpdir)
with Flow("testing") as flow:
task = step.get_task(output_transmitters=output_trans,
ee_id="test_ee_id")
result = task(inputs=inputs)
with tmp():
flow_run = flow.run()
# Stop the mock evaluator WS server
with Client(url) as c:
c.send("stop")
mock_ws_thread.join()
task_result = flow_run.result[result]
assert task_result.is_successful()
assert flow_run.is_successful()
assert len(task_result.result) == 1
expected_uri = output_trans["output"]._uri
output_uri = task_result.result["output"]._uri
assert expected_uri == output_uri
transmitted_record = asyncio.get_event_loop().run_until_complete(
task_result.result["output"].load())
transmitted_result = transmitted_record.data
assert expected_result == transmitted_result
def test_dispatchers_can_connect_and_monitor_can_shut_down_evaluator(
evaluator):
with evaluator.run() as monitor:
events = monitor.track()
token = evaluator._config.token
cert = evaluator._config.cert
url = evaluator._config.url
# first snapshot before any event occurs
snapshot_event = next(events)
print(snapshot_event)
snapshot = Snapshot(snapshot_event.data)
assert snapshot.status == ENSEMBLE_STATE_UNKNOWN
# two dispatchers connect
with Client(
url + "/dispatch",
cert=cert,
token=token,
max_retries=1,
timeout_multiplier=1,
) as dispatch1, Client(
url + "/dispatch",
cert=cert,
token=token,
max_retries=1,
timeout_multiplier=1,
) as dispatch2:
# first dispatcher informs that job 0 is running
send_dispatch_event(
dispatch1,
identifiers.EVTYPE_FM_JOB_RUNNING,
f"/ert/ee/{evaluator._ee_id}/real/0/step/0/job/0",
"event1",
{"current_memory_usage": 1000},
)
# second dispatcher informs that job 0 is running
send_dispatch_event(
dispatch2,
identifiers.EVTYPE_FM_JOB_RUNNING,
f"/ert/ee/{evaluator._ee_id}/real/1/step/0/job/0",
"event1",
{"current_memory_usage": 1000},
)
# second dispatcher informs that job 0 is done
send_dispatch_event(
dispatch2,
identifiers.EVTYPE_FM_JOB_SUCCESS,
f"/ert/ee/{evaluator._ee_id}/real/1/step/0/job/0",
"event1",
{"current_memory_usage": 1000},
)
# second dispatcher informs that job 1 is failed
send_dispatch_event(
dispatch2,
identifiers.EVTYPE_FM_JOB_FAILURE,
f"/ert/ee/{evaluator._ee_id}/real/1/step/0/job/1",
"event_job_1_fail",
{identifiers.ERROR_MSG: "error"},
)
evt = next(events)
print(evt)
snapshot = Snapshot(evt.data)
assert snapshot.get_job("1", "0", "0").status == JOB_STATE_FINISHED
assert snapshot.get_job("0", "0", "0").status == JOB_STATE_RUNNING
assert snapshot.get_job("1", "0", "1").status == JOB_STATE_FAILURE
# a second monitor connects
with ee_monitor.create(
evaluator._config.get_connection_info()) as monitor2:
events2 = monitor2.track()
full_snapshot_event = next(events2)
assert full_snapshot_event[
"type"] == identifiers.EVTYPE_EE_SNAPSHOT
snapshot = Snapshot(full_snapshot_event.data)
assert snapshot.status == ENSEMBLE_STATE_UNKNOWN
assert snapshot.get_job("0", "0", "0").status == JOB_STATE_RUNNING
assert snapshot.get_job("1", "0", "0").status == JOB_STATE_FINISHED
# one monitor requests that server exit
monitor.signal_cancel()
# both monitors should get a terminated event
terminated = next(events)
terminated2 = next(events2)
assert terminated["type"] == identifiers.EVTYPE_EE_TERMINATED
assert terminated2["type"] == identifiers.EVTYPE_EE_TERMINATED
for e in [events, events2]:
for undexpected_event in e:
assert (
False
), f"got unexpected event {undexpected_event} from monitor"
def _evaluate(self) -> None:
get_event_loop()
assert self._ee_con_info # mypy
assert self._ee_id # mypy
try:
with Client(
self._ee_con_info.dispatch_uri,
self._ee_con_info.token,
self._ee_con_info.cert,
) as c:
event = CloudEvent(
{
"type": EVTYPE_ENSEMBLE_STARTED,
"source": f"/ert/ee/{self._ee_id}",
},
)
c.send(to_json(event).decode())
with prefect.context( # type: ignore
url=self._ee_con_info.dispatch_uri,
token=self._ee_con_info.token,
cert=self._ee_con_info.cert,
):
self.run_flow(self._ee_id)
with Client(
self._ee_con_info.dispatch_uri,
self._ee_con_info.token,
self._ee_con_info.cert,
) as c:
event = CloudEvent(
{
"type": EVTYPE_ENSEMBLE_STOPPED,
"source": f"/ert/ee/{self._ee_id}",
"datacontenttype": "application/octet-stream",
},
cloudpickle.dumps(self._outputs),
)
c.send(to_json(event).decode())
except Exception as e: # pylint: disable=broad-except
logger.exception(
"An exception occurred while starting the ensemble evaluation",
exc_info=True,
)
# Signal 2 is SIGINT, so it is assumed this exception came from
# cancellation. This means the ensemble failed event should not be sent.
if isinstance(e, OSError) and "Signal 2" in str(e):
logger.debug("interpreting %s as a result of cancellation", e)
return
with Client(
self._ee_con_info.dispatch_uri,
self._ee_con_info.token,
self._ee_con_info.cert,
) as c:
event = CloudEvent(
{
"type": EVTYPE_ENSEMBLE_FAILED,
"source": f"/ert/ee/{self._ee_id}",
},
)
c.send(to_json(event).decode())
def join(self):
with Client(self.url) as c:
c.send("stop")
self.mock_ws_thread.join()
