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artiq/artiq/master/worker_impl.py

228 lines
6.7 KiB
Python

import sys
import time
import os
import logging
from artiq.protocols import pyon
from artiq.tools import file_import
from artiq.master.worker_db import DeviceManager, DatasetManager, get_hdf5_output
from artiq.language.environment import is_experiment
from artiq.language.core import set_watchdog_factory, TerminationRequested
def get_object():
line = sys.__stdin__.readline()
return pyon.decode(line)
def put_object(obj):
ds = pyon.encode(obj)
sys.__stdout__.write(ds)
sys.__stdout__.write("\n")
sys.__stdout__.flush()
class ParentActionError(Exception):
pass
def make_parent_action(action, argnames, exception=ParentActionError):
argnames = argnames.split()
def parent_action(*args):
request = {"action": action}
for argname, arg in zip(argnames, args):
request[argname] = arg
put_object(request)
reply = get_object()
if "action" in reply:
if reply["action"] == "terminate":
sys.exit()
else:
raise ValueError
if reply["status"] == "ok":
return reply["data"]
else:
raise exception(reply["message"])
return parent_action
class LogForwarder:
def __init__(self):
self.buffer = ""
to_parent = staticmethod(make_parent_action("log", "message"))
def write(self, data):
self.buffer += data
while "\n" in self.buffer:
i = self.buffer.index("\n")
self.to_parent(self.buffer[:i])
self.buffer = self.buffer[i+1:]
def flush(self):
pass
class ParentDeviceDB:
get_device_db = make_parent_action("get_device_db", "")
get = make_parent_action("get_device", "key", KeyError)
class ParentDatasetDB:
get = make_parent_action("get_dataset", "key", KeyError)
update = make_parent_action("update_dataset", "mod")
class Watchdog:
_create = make_parent_action("create_watchdog", "t")
_delete = make_parent_action("delete_watchdog", "wid")
def __init__(self, t):
self.t = t
def __enter__(self):
self.wid = Watchdog._create(self.t)
def __exit__(self, type, value, traceback):
Watchdog._delete(self.wid)
set_watchdog_factory(Watchdog)
class Scheduler:
pause_noexc = staticmethod(make_parent_action("pause", ""))
def pause(self):
if self.pause_noexc():
raise TerminationRequested
submit = staticmethod(make_parent_action("scheduler_submit",
"pipeline_name expid priority due_date flush"))
cancel = staticmethod(make_parent_action("scheduler_cancel", "rid"))
def set_run_info(self, pipeline_name, expid, priority):
self.pipeline_name = pipeline_name
self.expid = expid
self.priority = priority
def get_exp(file, class_name):
module = file_import(file)
if class_name is None:
exps = [v for k, v in module.__dict__.items()
if is_experiment(v)]
if len(exps) != 1:
raise ValueError("Found {} experiments in module"
.format(len(exps)))
return exps[0]
else:
return getattr(module, class_name)
register_experiment = make_parent_action("register_experiment",
"class_name name arguments")
class ExamineDeviceMgr:
get_device_db = make_parent_action("get_device_db", "")
def get(self, name):
return None
class DummyDatasetMgr:
def set(self, key, value, broadcast=False, persist=False, save=True):
return None
def get(self, key):
pass
def examine(device_mgr, dataset_mgr, file):
module = file_import(file)
for class_name, exp_class in module.__dict__.items():
if class_name[0] == "_":
continue
if is_experiment(exp_class):
if exp_class.__doc__ is None:
name = class_name
else:
name = exp_class.__doc__.splitlines()[0].strip()
if name[-1] == ".":
name = name[:-1]
exp_inst = exp_class(device_mgr, dataset_mgr, default_arg_none=True)
arguments = [(k, (proc.describe(), group))
for k, (proc, group) in exp_inst.requested_args.items()]
register_experiment(class_name, name, arguments)
def main():
sys.stdout = LogForwarder()
sys.stderr = LogForwarder()
logging.basicConfig(level=int(sys.argv[1]))
start_time = None
rid = None
expid = None
exp = None
exp_inst = None
device_mgr = DeviceManager(ParentDeviceDB,
virtual_devices={"scheduler": Scheduler()})
dataset_mgr = DatasetManager(ParentDatasetDB)
try:
while True:
obj = get_object()
action = obj["action"]
if action == "build":
start_time = time.localtime()
rid = obj["rid"]
expid = obj["expid"]
if obj["wd"] is not None:
# Using repository
expf = os.path.join(obj["wd"], expid["file"])
else:
expf = expid["file"]
exp = get_exp(expf, expid["class_name"])
device_mgr.virtual_devices["scheduler"].set_run_info(
obj["pipeline_name"], expid, obj["priority"])
exp_inst = exp(device_mgr, dataset_mgr,
**expid["arguments"])
put_object({"action": "completed"})
elif action == "prepare":
exp_inst.prepare()
put_object({"action": "completed"})
elif action == "run":
exp_inst.run()
put_object({"action": "completed"})
elif action == "analyze":
exp_inst.analyze()
put_object({"action": "completed"})
elif action == "write_results":
f = get_hdf5_output(start_time, rid, exp.__name__)
try:
dataset_mgr.write_hdf5(f)
if "repo_rev" in expid:
rr = expid["repo_rev"]
dtype = "S{}".format(len(rr))
dataset = f.create_dataset("repo_rev", (), dtype)
dataset[()] = rr.encode()
finally:
f.close()
put_object({"action": "completed"})
elif action == "examine":
examine(ExamineDeviceMgr(), DummyDatasetMgr(), obj["file"])
put_object({"action": "completed"})
elif action == "terminate":
break
except:
logging.error("Worker terminating with exception", exc_info=True)
finally:
device_mgr.close_devices()
if __name__ == "__main__":
main()