There is no requirement that you pair an EQ_PERIODIC with an EQ_TRIGGER. Take for exmaple

  midas/examples/experiment/frontend.cxx

and remove there the triggered event. The frontend runs happily with the periodic event only (I just tried that myself). You have probably some problem in 
your event definition. Start with the running example frontend, and add your code line by line until you see the problem.

Stefan

> There is no requirement that you pair an EQ_PERIODIC with an EQ_TRIGGER. Take for exmaple
> 
>   midas/examples/experiment/frontend.cxx
> 
> and remove there the triggered event. The frontend runs happily with the periodic event only (I just tried that myself). You have probably some problem in 
> your event definition. Start with the running example frontend, and add your code line by line until you see the problem.

Hi Stefan, thank you very much! 

As the pointer to the readout function and pointers to device drivers are all defined in the same structure (EQUIPMENT), 
I was naively assuming that the readout function should be set during the class driver initialization.
Now it is clear that the equipment responding to EQ_PERIODIC events doesn't have to have drivers, 
and specifying the readout function is the responsibility of the user.

I got around exactly this way yesterday, but was thinking that I was hacking the system :)
 
-- regards, Pasha

> Actual result:
> The key picker does not close.

Thanks for reporting that bug. It has been fixed in the current commit (installed already on megon02)

Stefan

> Another more minor visual problem is the edit-on-start dialog. There seems to be no upper bound to the 
> size of the text box. In the attached screenshot, ShortString has a maximum length of 32 characters, 
> LongString has 255. Both are empty at the time of the screenshot. Maybe, the size should be limited to a 
> reasonable width.

I limited the input size now to (arbitrarily) 100 chars. The string can still be longer than 100 chars, and you start then scrolling inside the input box. Let me know if 
that's ok this way.

Stefan

> > Actual result:
> > The key picker does not close.
> 
> Thanks for reporting that bug. It has been fixed in the current commit (installed already on megon02)
>

Stefan, thank you for fixing both problems, I have seen them, too, but no time to deal with them.

K.O.

> > Another more minor visual problem is the edit-on-start dialog. There seems to be no upper bound to the 
> > size of the text box. In the attached screenshot, ShortString has a maximum length of 32 characters, 
> > LongString has 255. Both are empty at the time of the screenshot. Maybe, the size should be limited to a 
> > reasonable width.
> 
> I limited the input size now to (arbitrarily) 100 chars. The string can still be longer than 100 chars, and you start then scrolling inside the input box. Let me know if 
> that's ok this way.

I am moving the dragon experiment to the new midas and we see this problem on the begin-of-run page.

Old midas: no horizontal scroll bar, edit-on-start names, values and comments are all squeezed in into the visible frame.

New midas: page is very wide, values entry fields are very long and there is a horizontal scroll bar.

So something got broken in the htlm formatting or sizing. I should be able to spot the change by doing
a diff between old resources/start.html and the new one.

K.O.

> >       status = select(1, &fdset, NULL, NULL, &timeout);
> >       On error, -1 is returned, ... timeout becomes undefined.

I confirm Linux and MacOS man pages and select() with EINTR work as I remember, Linux updates "timeout" to account for the 
time already slept, MacOS does not ("timeout" is unchanged).

So the original code is roughly correct, but long sleeps will not work right if SIGALRM fires during sleeping.

Note that MIDAS no longer uses SIGALRM to fire cm_watchdog() (it was moved to a thread) and MIDAS does not use signals,
so handling of EINTR is now moot.

(Please correct me if I missed something).

The original bug report was about EINVAL, and best I can tell, it was caused by calls to TMFE::Sleep()
with strange sleep times that caused invalid values to be computed into the select() timeout.

To improve on this, I make these changes:

1) TMFE::Sleep(0) will report an error and will not sleep
2) TMFE::Sleep(negative number) will report an error and will not sleep

(please check the sleep time before calling TMFE::Sleep())

3) TMFE::Sleep(1 sec or less) will sleep using select(). (I also looked into using poll(), ppoll() and pselect()).
4) TMFE::Sleep(more than 1 second) will use a loop to sleep in increments of 1 second and will use one additional syscall to 
read the current time to decide how much more to sleep.

5) if select() returns EINVAL, the error message will reporting the sleep time and the values in "timeout".

A side effect of this is that on both Linux and MacOS long sleeps work correctly if interrupted by SIGALRM,
because SIGALRM granularity is 1 sec and our sleep time is also 1 sec.

Commit [develop 06735d29] improve TMFE::Sleep()

K.O.

> Commit [develop 06735d29] improve TMFE::Sleep()

Report of test_sleep on Ubuntu-22 (Intel E-2236) and MacOS 14.6.1 (M1 MAX Mac Studio).

It is easy to see Ubuntu-22 (kernel 6.2.x) sleep granularity is ~60 usec, MacOS sleep granularity is <2 usec. (Sub 1 usec sleep likely measures the syscall() speed, 500 ns on Intel and 200 
ns on ARM M1 MAX). (NOTE: long sleep is interrupted by an alarm roughly 10 seconds into the sleep, see progs/test_sleep.cxx)

daq00:midas$ uname -a
Linux daq00.triumf.ca 6.2.0-39-generic #40~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Nov 16 10:53:04 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
daq00:midas$ ./bin/test_sleep 
test short sleep:
sleep      10 loops,   100000.000 usec per loop,  1.000000000 sec total,  1.002568007 sec actual total,   100256.801 usec actual per loop, oversleep  256.801 usec,    0.3%
sleep     100 loops,    10000.000 usec per loop,  1.000000000 sec total,  1.025897980 sec actual total,    10258.980 usec actual per loop, oversleep  258.980 usec,    2.6%
sleep    1000 loops,     1000.000 usec per loop,  1.000000000 sec total,  1.169670105 sec actual total,     1169.670 usec actual per loop, oversleep  169.670 usec,   17.0%
sleep   10000 loops,      100.000 usec per loop,  1.000000000 sec total,  1.573357105 sec actual total,      157.336 usec actual per loop, oversleep   57.336 usec,   57.3%
sleep   99999 loops,       10.000 usec per loop,  0.999990000 sec total,  6.963442087 sec actual total,       69.635 usec actual per loop, oversleep   59.635 usec,  596.4%
sleep 1000000 loops,        1.000 usec per loop,  1.000000000 sec total, 60.939687967 sec actual total,       60.940 usec actual per loop, oversleep   59.940 usec, 5994.0%
sleep 1000000 loops,        0.100 usec per loop,  0.100000000 sec total,  0.613572121 sec actual total,        0.614 usec actual per loop, oversleep    0.514 usec,  513.6%
sleep 1000000 loops,        0.010 usec per loop,  0.010000000 sec total,  0.576359987 sec actual total,        0.576 usec actual per loop, oversleep    0.566 usec, 5663.6%
test long sleep: requested 126.000000000 sec ... sleeping ...
alarm!
test long sleep: requested 126.000000000 sec, actual 126.000875950 sec

bash-3.2$ uname -a
Darwin send.triumf.ca 23.6.0 Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:30 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6000 arm64
bash-3.2$ ./bin/test_sleep 
test short sleep:
sleep      10 loops,   100000.000 usec per loop,  1.000000000 sec total,  1.032556057 sec actual total,   103255.606 usec actual per loop, oversleep 3255.606 usec,    3.3%
sleep     100 loops,    10000.000 usec per loop,  1.000000000 sec total,  1.245460033 sec actual total,    12454.600 usec actual per loop, oversleep 2454.600 usec,   24.5%
sleep    1000 loops,     1000.000 usec per loop,  1.000000000 sec total,  1.331466913 sec actual total,     1331.467 usec actual per loop, oversleep  331.467 usec,   33.1%
sleep   10000 loops,      100.000 usec per loop,  1.000000000 sec total,  1.281141996 sec actual total,      128.114 usec actual per loop, oversleep   28.114 usec,   28.1%
sleep   99999 loops,       10.000 usec per loop,  0.999990000 sec total,  1.410759926 sec actual total,       14.108 usec actual per loop, oversleep    4.108 usec,   41.1%
sleep 1000000 loops,        1.000 usec per loop,  1.000000000 sec total,  2.400593996 sec actual total,        2.401 usec actual per loop, oversleep    1.401 usec,  140.1%
sleep 1000000 loops,        0.100 usec per loop,  0.100000000 sec total,  0.188431025 sec actual total,        0.188 usec actual per loop, oversleep    0.088 usec,   88.4%
sleep 1000000 loops,        0.010 usec per loop,  0.010000000 sec total,  0.188102007 sec actual total,        0.188 usec actual per loop, oversleep    0.178 usec, 1781.0%
test long sleep: requested 126.000000000 sec ... sleeping ...
alarm!
test long sleep: requested 126.000000000 sec, actual 126.001244068 sec

K.O.

To reproduce:
- Open a history plot, click [-] a few times until the x axis shows more than 7 days.
- Scroll to the past (left)
- Click "Jump to current time" (the triangle)

Expected result:
The upper limit of the x axis is at the current time and the lower range is now - whatever range you had before 
(>7d)

Actual result:
The upper limit is the current time, the lower limit is now - 7d

(The interval seems unchanged if the range was < 7d before clicking "Jump to current time")

I had put in a check which limits the range to 7d into the past if you press the "play" button, but now I'm not sure why this was needed. I removed it again and 
things seem to be fine. Change is committed to develop.

Stefan

> I have a time series of slow control measurements in an ASCII format - 
> data records in a format (run_number, time, temperature, voltage1, ..., voltageN), 
> and, if possible, would like to convert them into a MIDAS history format. 
> 
> Making MIDAS events out of that data is easy, but is it possible to preserve 
> the time stamps?  - Logically, this boils down to whether it is possible to have  
> the event time set by a user frontend

It looks that the original question was not as naive as I expected and may be pointing to a subtle bug. 
I have implemented a python frontend - essentially a clone of 

https://bitbucket.org/tmidas/midas/src/develop/python/midas/frontend.py

reading the old slow control data and setting the event.header.timestamp's to some dates from the year of 2022. 

When I run MIDAS and read the "old slow control events", one event in 10 seconds, 
the MIDAS Event Dump utility shows the data with the correct event timestamps, from the year of 2022. 

However the history plots show the event parameters with the timestamps from Feb 01 2025 and the adjacent 
data points separated by 10 sec.

Is it possible that the history system uses its own timestamp setting instead of using timestamps from the event headers? 
- Under normal circumstances, the two should be very close, and that could've kept the issue hidden... 

-- thanks, regards, Pasha

UPDATE:  I attached the frontend code and the input data file it is reading. The data file should reside in the local directory
- the frontend code doesn't have everything fully automated for the test, 
  -- an integer field "/Mu2e/Offline/Ops/LastTime" would need to be created manually
  -- the history plots would need to be declared manually

12:51:20.154 2025/02/19 [SC Frontend,ERROR] [mfe.cxx:620:register_equipment,ERROR] Write cache size mismatch for buffer "SYSTEM": equipment "Environment" asked for 0, while eqiupment "LED" asked for 10000000
12:51:20.154 2025/02/19 [SC Frontend,ERROR] [mfe.cxx:620:register_equipment,ERROR] Write cache size mismatch for buffer "SYSTEM": equipment "LED" asked for 10000000, while eqiupment "Xenon" asked for 0

   {"Trigger",               /* equipment name */
      {1, 0,                 /* event ID, trigger mask */
         "SYSTEM",           /* event buffer */
         EQ_POLLED,          /* equipment type */
         0,                  /* event source */
         "MIDAS",            /* format */
         TRUE,               /* enabled */
         RO_RUNNING |        /* read only when running */
         RO_ODB,             /* and update ODB */
         100,                /* poll for 100ms */
         0,                  /* stop run after this event limit */
         0,                  /* number of sub events */
         0,                  /* don't log history */
         "", "", "", "", "", 0, 0},
      read_trigger_event,    /* readout routine */
      10000000,              /* write cache size */
   },

fe_set_write_case(int size);

After starting midas (mhttpd &, and mlogger -D) and running the `fetest` frontend I went into the midas/python/examples directory and ran basic_hist_script.py, and, even though I could see the 'pytest' program in the Programs page,

Valid events are:
Enter event name:

was printed out, which signified that no events were found. No errors were displayed.

Instead, when trying to do the same in javascript (using mjsonrpc_send_request( mjsonrpc_make_request("hs_get_events")).then(console.log)), I was able to get the expected events.

The History page also displayed the expected data and the plots worked correctly.

Device info: Chip: Apple M1 Pro, OS: Sequoia (15.3)

MIDAS version: bitbucket commit 84c7ef7

Python version: 3.13.2

> Valid events are:
> Enter event name:
> 
> was printed out, which signified that no events were found. No errors were displayed.

I can't reproduce this. I made a brand new experiment, started mlogger/mhttpd/fetest, then ran the same program. I get:

```
$ python basic_hist_script.py
Valid events are:
* Run transitions
* test_slow/data
Enter event name: 
```

Are you sure you ran the python program after running mlogger and not before? Can you try again after restarting mlogger? And can you verify that your python is connecting to the correct experiment if you have multiple experiments defined?

I tested with python 3.12.8 and 3.13.1, and am on MacOS 14.5, but I can't imagine those differences matter.

The python interface is a trivial wrapper around the C++ function, so the only python-specific thing that would result in an empty list is extracting an integer from a ctypes reference. If that's broken in your version then I don't think any of the midas python code would be working.

> After starting midas (mhttpd &, and mlogger -D) and running the `fetest` frontend I went into the midas/python/examples directory and ran basic_hist_script.py, and, even though I could see the 'pytest' program in the Programs page,
> 
> Valid events are:
> Enter event name:
> 
> was printed out, which signified that no events were found. No errors were displayed.

To check that MIDAS itself is built correctly, you can try "make test", this will create a sample experiment,
run fetest, start, stop a run and check that data file and history file is created with correct history events.

If "make test" fails, I can help debug it.

In your experiment, you can check that history files are created correctly:

1) "mhist -l" should show all available events
2) "mhdump -L *.hst" should show all events in the .hst history files
3) if you have the newer mhf*.dat files, you can "more mhf_1449770978_20151210_hv.dat" to see what data is inside

If all of that works as expected, there must be a problem with the python side and we will have to figure
out how to reproduce it.

This reminds me, "make test" does not test any of the python code, it should be added (and python should be added
to the bitbucket builds).

K.O.

> After starting midas (mhttpd &, and mlogger -D) and running the `fetest` frontend I went into the midas/python/examples directory and ran basic_hist_script.py, and, even though I could see the 'pytest' program in the Programs page,
> 
> Valid events are:
> Enter event name:
> 
> was printed out, which signified that no events were found. No errors were displayed.
> 
> Instead, when trying to do the same in javascript (using mjsonrpc_send_request( mjsonrpc_make_request("hs_get_events")).then(console.log)), I was able to get the expected events.
> 
> The History page also displayed the expected data and the plots worked correctly.
> 
> Device info: Chip: Apple M1 Pro, OS: Sequoia (15.3)
> 
> MIDAS version: bitbucket commit 84c7ef7
> 
> Python version: 3.13.2


I tested the command this morning and it worked. The most likely cause of the errors was that I was on a beta version of macOS: Switching beta updates off fixed the issue. Thanks for the help!

Setup:
setting up midas, starting mhttpd and mlogger and running fetest.

The History page and the javascript mjsonrpc client are both able to fetch historical data for test_slow/data. Javascript code used is included here:

mjsonrpc_call(
  "hs_read_arraybuffer",
  {
    start_time: Math.floor((new Date()).getTime() /1000) - 1000,
    end_time: Math.floor((new Date()).getTime() /1000),
    events: ["test_slow/data"],
    tags: ["data"],
    index: [0],
  },
  "arraybuffer"
).then(console.log)

However, the python client does not find any valid events:

Setup:
An exptab is created and the environment variables MIDAS_EXPTAB and MIDAS_EXPT_NAME and MIDASSYS are set (together with the correct PATH)

Running /midas/python/examples/basic_hist_script.py and typing in data:

Valid events are:
* Run transitions
* rrandom/SLOW
* test_slow/data
Enter event name: test_slow/data
Valid tags for test_slow/data are:
* data
Enter tag name: data
Event/tag test_slow/data/data has 1 elements
How many hours: 1
Interval in seconds: 1 # other values were also tested, without success
0 entries found

We expect entries to be found, however do not.

Tested setups:
Macbook Pro Sequoia 15.3 with Python 3.13.2, ROOT latest, midas bitbucket commit 84c7ef7
Windows 11 with Python 3.11, ROOT latest, midas latest commit (development branch)

Unfortunately I again cannot reproduce this:

$ python ~/DAQ/midas_latest/python/examples/basic_hist_script.py
Valid events are:
* Run transitions
* test_slow/data
Enter event name: test_slow/data
Valid tags for test_slow/data are:
* data
Enter tag name: data
Event/tag test_slow/data/data has 1 elements
How many hours: 1
Interval in seconds: 1
78 entries found
2025/03/17 17:00:56 => 98.097391
2025/03/17 17:00:57 => 98.982151
2025/03/17 17:00:58 => 99.589187
2025/03/17 17:00:59 => 99.926821
2025/03/17 17:01:00 => 99.989878
2025/03/17 17:01:01 => 99.778216
2025/03/17 17:01:02 => 99.292485
.......


I want to narrow down whether the issue is in the basic_hist_script.py or the lower-level code. So there are a few steps of debugging to do.



1) Run code directly in the python interpreter: 

Can you run the following and send the output please?

```
import midas.client
c = midas.client.MidasClient("history_test")
data = c.hist_get_recent_data(1,1,"test_slow/data","data")
print(f"event_name='{data[0]['event_name']}', tag_name='{data[0]['tag_name']}', num_entries={data[0]['num_entries']}, status={data[0]['status']}, arrlen={len(data[0]['values'])}")
```

For me, I get:
event_name='test_slow/data', tag_name='data', num_entries=441, status=1, arrlen=441



2) If things look sensible for you (status=1, non-zero num_entries), then the problem is in the basic_hist_script.py. Can you add the same print() statement in basic_hist_script.py immediately after the call to hist_get_recent_data(), then run that script again and send the output of that?



3) Debug the python/C conversions.

In midas/client.py add the following line to hist_get_data() immediately before the call to self.lib.c_hs_read():

```
        print(f"c_start_time={c_start_time.value}, c_end_time={c_end_time.value}, c_interval={c_interval.value}, c_event_name={c_event_name.value}, c_tag_name={c_tag_name.value}")
```

Then run the following and send the output:

```
import midas.client
c = midas.client.MidasClient("history_test")
data = c.hist_get_recent_data(1,1,"test_slow/data","data")
```

For me, I get:
c_start_time=1742254428, c_end_time=1742258028, c_interval=1, c_event_name=b'test_slow/data', c_tag_name=b'data'

I want to check that the UNIX timestamps match what you expect for your server, and that nothing weird is going on with the python/C string conversions.


Thanks,
Ben

> Unfortunately I again cannot reproduce this:
> 
> $ python ~/DAQ/midas_latest/python/examples/basic_hist_script.py
> Valid events are:
> * Run transitions
> * test_slow/data
> Enter event name: test_slow/data
> Valid tags for test_slow/data are:
> * data
> Enter tag name: data
> Event/tag test_slow/data/data has 1 elements
> How many hours: 1
> Interval in seconds: 1
> 78 entries found
> 2025/03/17 17:00:56 => 98.097391
> 2025/03/17 17:00:57 => 98.982151
> 2025/03/17 17:00:58 => 99.589187
> 2025/03/17 17:00:59 => 99.926821
> 2025/03/17 17:01:00 => 99.989878
> 2025/03/17 17:01:01 => 99.778216
> 2025/03/17 17:01:02 => 99.292485
> .......
> 
> 
> I want to narrow down whether the issue is in the basic_hist_script.py or the lower-level code. So there are a few steps of debugging to do.
> 
> 
> 
> 1) Run code directly in the python interpreter: 
> 
> Can you run the following and send the output please?
> 
> ```
> import midas.client
> c = midas.client.MidasClient("history_test")
> data = c.hist_get_recent_data(1,1,"test_slow/data","data")
> print(f"event_name='{data[0]['event_name']}', tag_name='{data[0]['tag_name']}', num_entries={data[0]['num_entries']}, status={data[0]['status']}, arrlen={len(data[0]['values'])}")
> ```
> 
> For me, I get:
> event_name='test_slow/data', tag_name='data', num_entries=441, status=1, arrlen=441
> 
> 
> 
> 2) If things look sensible for you (status=1, non-zero num_entries), then the problem is in the basic_hist_script.py. Can you add the same print() statement in basic_hist_script.py immediately after the call to hist_get_recent_data(), then run that script again and send the output of that?
> 
> 
> 
> 3) Debug the python/C conversions.
> 
> In midas/client.py add the following line to hist_get_data() immediately before the call to self.lib.c_hs_read():
> 
> ```
>         print(f"c_start_time={c_start_time.value}, c_end_time={c_end_time.value}, c_interval={c_interval.value}, c_event_name={c_event_name.value}, c_tag_name={c_tag_name.value}")
> ```
> 
> Then run the following and send the output:
> 
> ```
> import midas.client
> c = midas.client.MidasClient("history_test")
> data = c.hist_get_recent_data(1,1,"test_slow/data","data")
> ```
> 
> For me, I get:
> c_start_time=1742254428, c_end_time=1742258028, c_interval=1, c_event_name=b'test_slow/data', c_tag_name=b'data'
> 
> I want to check that the UNIX timestamps match what you expect for your server, and that nothing weird is going on with the python/C string conversions.
> 
> 
> Thanks,
> Ben

Hi, thank you for the support!

1)
event_name='test_slow/data', tag_name='data', num_entries=0, status=1, arrlen=0
2)
The number of entries is zero
3)
I get
c_start_time=1742275653, c_end_time=1742279253, c_interval=1, c_event_name=b'test_slow/data', c_tag_name=b'data'