Source code for stochss_compute.server.status
'''
stochss_compute.server.status
'''
# StochSS-Compute is a tool for running and caching GillesPy2 simulations remotely.
# Copyright (C) 2019-2023 GillesPy2 and StochSS developers.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from datetime import datetime
from distributed import Client
from tornado.web import RequestHandler
from stochss_compute.core.errors import RemoteSimulationError
from stochss_compute.core.messages import SimStatus, StatusResponse
from stochss_compute.server.cache import Cache
[docs]class StatusHandler(RequestHandler):
'''
Endpoint for requesting the status of a simulation.
'''
[docs] def initialize(self, scheduler_address, cache_dir):
'''
Sets the address to the Dask scheduler and the cache directory.
:param scheduler_address: Scheduler address.
:type scheduler_address: str
:param cache_dir: Path to the cache.
:type cache_dir: str
'''
self.scheduler_address = scheduler_address
self.cache_dir = cache_dir
[docs] async def get(self, results_id, n_traj, task_id):
'''
Process GET request.
:param results_id: Hash of the simulation. Required.
:type results_id: str
:param n_traj: Number of trajectories in the request. Default 1.
:type n_traj: str
:param task_id: ID of the running simulation. Required.
:type task_id: str
'''
if '' in (results_id, n_traj):
self.set_status(404, reason=f'Malformed request: {self.request.uri}')
self.finish()
raise RemoteSimulationError(f'Malformed request: {self.request.uri}')
self.results_id = results_id
self.task_id = task_id
n_traj = int(n_traj)
cache = Cache(self.cache_dir, results_id)
print(f'{datetime.now()} | <{self.request.remote_ip}> | \
Status Request | <{results_id}> | Trajectories: {n_traj} | \
Task ID: {task_id}' )
msg = f'{datetime.now()} | <{results_id}> | <{task_id}> |Status: '
exists = cache.exists()
if exists:
empty = cache.is_empty()
if empty:
if self.task_id not in ('', None):
state, err = await self.check_with_scheduler()
print(msg+SimStatus.RUNNING.name+f' | Task: {state} | error: {err}')
if state == 'erred':
self._respond_error(err)
else:
self._respond_running(f'Scheduler task state: {state}')
else:
print(msg+SimStatus.DOES_NOT_EXIST.name)
self._respond_dne()
else:
ready = cache.is_ready(n_traj)
if ready:
print(msg+SimStatus.READY.name)
self._respond_ready()
else:
if self.task_id not in ('', None):
state, err = await self.check_with_scheduler()
print(msg+SimStatus.RUNNING.name+f' | Task: {state} | error: {err}')
if state == 'erred':
self._respond_error(err)
else:
self._respond_running(f'Scheduler task state: {state}')
else:
print(msg+SimStatus.DOES_NOT_EXIST.name)
self._respond_dne()
else:
print(msg+SimStatus.DOES_NOT_EXIST.name)
self._respond_dne()
def _respond_ready(self):
status_response = StatusResponse(SimStatus.READY)
self.write(status_response.encode())
self.finish()
def _respond_error(self, error_message):
status_response = StatusResponse(SimStatus.ERROR, error_message)
self.write(status_response.encode())
self.finish()
def _respond_dne(self):
status_response = StatusResponse(SimStatus.DOES_NOT_EXIST, 'There is no record of that simulation.')
self.write(status_response.encode())
self.finish()
def _respond_running(self, message):
status_response = StatusResponse(SimStatus.RUNNING, message)
self.write(status_response.encode())
self.finish()
async def _check_with_scheduler(self):
'''
Ask the scheduler for information about a task.
'''
client = Client(self.scheduler_address)
# define function here so that it is pickle-able
def scheduler_task_state(task_id, dask_scheduler=None):
task = dask_scheduler.tasks.get(task_id)
if task is None:
return (None, None)
if task.exception_text == "":
return (task.state, None)
return (task.state, task.exception_text)
# Do not await. Reasons. It returns sync.
ret = client.run_on_scheduler(scheduler_task_state, self.task_id)
client.close()
return ret