de30a4b060
master/worker: print short exception info in first log entry of worker error
2015-11-22 23:26:32 +08:00
723ef71a87
master/repository: fix experiment name conflict handling
2015-11-16 22:46:40 +08:00
d32c2c091f
master: scan subdirectories in repos
2015-11-14 00:06:52 +08:00
44c0c617f3
master/worker: add ARTIQ version to HDF5 output
2015-11-09 12:32:29 +08:00
2c77c80b4f
master: expose more scheduler APIs to the experiments
2015-10-30 13:41:18 +08:00
32c95f24d0
worker: reduce some logging levels
2015-10-29 09:34:41 +08:00
0d53f7ab0d
ignore ProcessLookupError when killing subprocesses. Closes #167
2015-10-28 20:57:28 +08:00
40b4129c65
Only support scalars and numpy arrays in HDF5 output. Update documentation. Closes #145
2015-10-28 18:33:42 +08:00
ec328cf5e1
master/worker_db: reduce exception backtrace clutter of get_dataset. Closes #168
2015-10-28 17:50:48 +08:00
828b48ad89
master/scheduler: reduce logging severity of worker exception backtraces to debug
2015-10-28 17:48:50 +08:00
1ada15ae5d
master: simplify worker/parent RPC
2015-10-28 17:35:57 +08:00
fcd29492f9
worker_db: support more types in HDF5 output. Closes #144 . Closes #121
2015-10-24 10:54:59 +08:00
3044a053e1
databases: assume empty dataset_db if file not present. Closes #156
2015-10-24 10:15:20 +08:00
d13b368a65
build logging into worker
2015-10-20 18:11:50 +08:00
03e317780b
device_db: make best_effort parameter optional for controllers
2015-10-18 14:37:08 +08:00
a5606768ad
device_db: make target_name parameter optional for controllers
2015-10-18 14:35:53 +08:00
04a049b93d
master: timestamp logfiles
2015-10-17 10:26:54 +08:00
60ed88f3d9
worker: separate stdout/stderr for forwarding
2015-10-17 10:22:20 +08:00
f6fd7ecef2
logging: handle newlines in messages
2015-10-17 10:21:03 +08:00
f332c1d3cc
ctlmgr: forward controller logs
2015-10-16 20:08:11 +08:00
9bb94f0f59
master/log: move formatter into LogBufferHandler
2015-10-16 18:35:30 +08:00
cbda753f44
master: TCP server for remote logging
2015-10-16 00:53:35 +08:00
9e2e233fef
master: log file support
2015-10-15 23:47:31 +08:00
86e201c6a0
master/log: parse names, better filtering, cleanup
2015-10-14 16:30:57 +08:00
9f04af63e6
scheduler: raise logging severity of errors
2015-10-14 16:02:22 +08:00
c00bce3967
master,client,gui: logging sources, timestamps, levels
2015-10-14 01:06:57 +08:00
1d14975bd5
worker: cleaner termination on exception in user code, improve unittest
2015-10-13 01:11:57 +08:00
3cec176318
get_ddb -> get_device_db
2015-10-12 19:46:31 +08:00
97accd2540
merge parameters and results into datasets
2015-10-12 17:18:23 +08:00
139072d402
Graceful experiment termination. Closes #76
2015-10-06 13:50:00 +08:00
b3584bc190
language,master,run: support raw access to DDB from experiments. Closes #123
2015-10-04 18:29:39 +08:00
512bc79484
master: consistent db function argument names
2015-10-04 18:27:44 +08:00
0e3927b01a
master: support DDB rescan
2015-10-04 17:38:07 +08:00
f552d62b69
use Python 3.5 coroutines
2015-10-03 19:28:57 +08:00
b117b9320d
asyncio.async -> asyncio.ensure_future
2015-10-03 14:37:02 +08:00
125503139e
remove workaround for Python bug in asyncio process.wait(). Requires Python 3.5. Closes #58
2015-10-03 14:33:18 +08:00
cd3107ba75
do not use deprecated asyncio.JoinableQueue
2015-10-03 13:59:18 +08:00
bb228b00ef
gui,language,master: argument groups
2015-08-24 23:46:54 +08:00
06badd1dc1
scheduler: refactor, fix pipeline hazards
2015-08-10 21:58:11 +08:00
f81b2eba43
master: better repo scan error handling
2015-08-08 23:36:12 +08:00
400b414885
master,client: support scanning specific repo revisions
2015-08-08 23:23:25 +08:00
c80f0fa07a
master: delete head repository checkout on exit
2015-08-08 11:44:19 +08:00
54d85efc2a
master,gui: show Git commit messages in schedule
2015-08-08 11:08:04 +08:00
7ed8fe57fa
Git support
2015-08-07 15:51:56 +08:00
9261254653
language/environment: support non-stored results
2015-08-06 18:43:27 +08:00
86fef7b53b
master: do not scan experiments starting with '_'
2015-07-29 23:29:07 +08:00
3a06e22b67
master: handle logging while scanning repository
2015-07-23 23:06:15 +08:00
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
6b36d93cc2
master,client: support repository rescan
2015-07-17 18:55:48 +02:00
39c6bc940c
coreconfig: use new database API ( closes #75 )
2015-07-17 10:49:55 +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
7770ab64f2
worker: factor timeouts
2015-07-14 23:43:08 +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
c71fe29792
simplify unit system and use floats by default
2015-06-26 16:34:37 +02:00
9f9079589e
gui: send monitor requests to core device
2015-06-05 14:52:41 +08:00
a6a476593e
worker: wait for process termination
...
This prevents stray SIGCHLDs from crashing the program e.g. if the asyncio event loop is closed before the process actually terminates.
2015-06-05 00:37:26 +08:00
c843c353d7
worker: remove useless process wait
2015-06-05 00:05:38 +08:00
Yann Sionneau
60bdf74137
tests: use try/finally to close event loop + wait for process to die after killing it
2015-06-04 13:40:13 +02:00
78f9268277
worker: add note about correct use of close()
2015-06-04 11:30:34 +08:00
aa242f7c66
scheduler: simplify priority policy
...
Remove overdueness. User must submit calibration experiments with higher priority values for them to take precedence.
2015-05-28 18:24:45 +08:00
b0f8141018
scheduler: cancel flush when run is cancelled
2015-05-28 17:48:33 +08:00
e752e57fa5
scheduler: do not duplicate 'run terminated' information
2015-05-28 17:37:08 +08:00
737f6d4485
scheduler: support pipeline flush
2015-05-28 17:20:58 +08:00
Yann Sionneau
4bf7875b87
flash_storage: refactor + unit tests + artiq_coreconfig.py CLI + doc
2015-05-27 18:06:12 +08:00
fc449509b8
scheduler: pass priority to experiments
2015-05-24 20:37:47 +08:00
a21373841c
scheduler: catch worker exceptions in prepare and analyze stages
2015-05-24 20:23:49 +08:00
d6ced1c780
scheduler: support priorities
2015-05-24 01:09:22 +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
ca89b6d0ed
worker_db: support read-only mode
2015-04-07 15:40:57 +08:00
3257275782
worker_db: get_logger -> getLogger
2015-04-05 18:02:07 +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
7b86138fd2
DBHub: make it a 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
ec1d082730
remove timeout from run_params (to be replaced by a better mechanism)
2015-03-09 10:51:32 +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
651ed71b79
master: basic automatic experiment list
2015-02-21 20:34:31 -07:00
4267e0deab
master,artiq_run: simplify unit autodetection
2015-02-21 20:26:58 -07:00
6601bebcfe
master: make RIDs unique across restarts
2015-02-21 18:41:07 -07:00
ceb02b42cb
master: use full year in result folder name
2015-02-21 18:34:31 -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
