8402f1cdcd
master,gui: basic log support
2015-07-22 05:13:50 +08:00
2576036ba1
language,worker: preserve order of arguments
2015-07-17 19:32:38 +02:00
84de2fb28b
expid: experiment -> class_name
2015-07-15 11:08:12 +02:00
7de56666e3
worker,environment: support scanning of arguments with no default
2015-07-15 10:59:48 +02:00
9ed4dcd7d1
repository: load experiments in worker, list arguments
2015-07-15 10:54:44 +02:00
32d141f5ac
refactor ddb/pdb/rdb
2015-07-13 22:21:32 +02:00
96a5d73c81
worker: split build stage from prepare
2015-07-09 13:18:12 +02:00
737f6d4485
scheduler: support pipeline flush
2015-05-28 17:20:58 +08:00
fc449509b8
scheduler: pass priority to experiments
2015-05-24 20:37:47 +08:00
b74b8d5826
Scheduling TNG
2015-05-17 16:11:00 +08:00
283695e8aa
language/core: integrate watchdogs
2015-04-28 23:23:59 +08:00
71b7fe38bc
worker_impl: add missing import
2015-04-05 17:50:48 +08:00
9b46bc623a
dbhub: do not use as context manager, turn close exceptions into warnings, do not close devices early in worker
2015-04-05 17:49:41 +08:00
43893c6c1d
worker_impl: use DBHub as context manager
2015-04-04 20:51:48 -06:00
200e20fb39
worker: close devices immediately after run and before analyze
2015-03-20 12:01:34 +01:00
2b3641ac0a
db,worker: fix realtime result initialization
2015-03-13 15:12:55 +01:00
43a05c783d
worker: split write_results action
2015-03-11 19:06:46 +01:00
d5795fd619
master: watchdog support
...
Introduces a watchdog context manager to use in the experiment code that
terminates the process with an error if it times out. The syntax is:
with self.scheduler.watchdog(20*s):
...
Watchdogs timers are implemented by the master process (and the worker
communicates the necessary information about them) so that they can be
enforced even if the worker crashes. They can be nested arbitrarily.
During yields, all watchdog timers for the yielding worker are
suspended [TODO]. Setting up watchdogs is not supported in kernels,
however, a kernel can be called within watchdog contexts (and terminating
the worker will terminate the kernel [TODO]).
It is possible to implement a heartbeat mechanism using a watchdog, e.g.:
for i in range(...):
with self.scheduler.watchdog(...):
....
Crashes/freezes within the iterator or the loop management would not be
detected, but they should be rare enough.
2015-03-11 16:43:14 +01:00
f2134fa4b2
master,worker: split prepare/run/analyze
2015-03-09 23:34:09 +01:00
4c280d5fcc
master: use a new worker process for each experiment
2015-03-09 16:22:41 +01:00
d95a9cac9a
move realtime result registration into dbh, simplify syntax
2015-03-08 17:27:27 +01:00
f2e3dfb848
Experiment base class, replace __artiq_unit__ with docstring
2015-03-08 15:55:30 +01:00
4267e0deab
master,artiq_run: simplify unit autodetection
2015-02-21 20:26:58 -07:00
965dd89b61
master: reorganize result output code
2015-02-21 14:28:18 -07:00
1aec6a0462
master: name results 'year-month-day/hour-minute/runid-experiment'
2015-02-21 13:42:26 -07:00
cc172699ea
master: use RID + unit class name for HDF5 filenames
2015-02-20 14:11:55 -07:00
65555a3a09
artiq_run,master: introduce __artiq_unit__ attribute to mark and name experiments
2015-02-20 14:01:34 -07:00
0dd5692c32
master,run: pass run_params to experiment
2015-02-19 20:05:12 -07:00
4d21b78314
master,client,gui: factor timeout into run_params
2015-02-19 20:03:55 -07:00
c69c4d5ce9
master: expose scheduler API to experiments
2015-02-19 12:09:11 -07:00
9ffc370416
master,run: automatically call analyze function
2015-02-19 09:40:15 -07:00
af79392918
master: basic dumping of results to HDF5
2015-02-04 18:37:57 +08:00
3e22fe86b5
reorganize files as per discussion with Robert
2015-01-17 19:38:20 +08:00
070788a680
separate master modules
2015-01-14 12:16:49 +08:00
