> 
>   set(CMAKE_CXX_STANDARD 17)
>   set(CMAKE_CXX_STANDARD_REQUIRED ON)
>   set(CMAKE_CXX_EXTENSIONS OFF)   # optional: disables GNU extensions
> 

Looks like it works, I see -std=c++17 everywhere. Added same to manalyzer and mscb (mscb was still c++11).

Build on U-20 works (g++ accepts -std=c++17), build on CentOS-7 bombs, cmake 3.17.5 does not know CXX17.

K.O.

> Rather than investing time to re-invent the wheel here, better try to modify your EPICS driver process to 
become a midas process.

I am with Stefan on this. Quite a bit of work went into the tmfe c++ framework to make it easy/easier to do 
this - take an existing standalone c/c++ program and midas-ize it: in main(), "just add" calls to connect to 
midas and to start the midas threads - rpc handler, watchdog, etc.

Alternatively, one can write a midas "stdout+stderr bridge", and start your standalone program
from the programs page like this:

myprogram |& cm_msg_bridge --name "myprogram" (redirect both stdout and stderr to cm_msg_bridge stdin)

cm_msg_bridge would read stdin and put them in cm_msg(). it will connect to midas using the name "myprogram" 
to make it show "green" on the status page and it will be stoppable from the programs page.

care will need to be taken for myprogram to die cleanly when stdout and stderr are closed after cm_msg_bridge 
exits.

K.O.

> > 2) "advanced" c++ code:
> > 
> > void foo(const std::string& xxx) { ... };
> > int main() { foo("bar"); }
> > 
> > copy-created 2nd string is avoided, but string object to hold "bar" is still must be 
> > made, 1 malloc(), 1 memcpy().
> 
> Are you sure about this? I always thought that foo only receives a pointer to xxx which it puts on the stack, so
> no additional malloc/free is involved.

Yes, "bar" is not an std::string, cannot be used to call foo(), and the c++ compiler has to automagically rewrite 
the function call

from: int main() { foo("bar"); }
to:   int main() { foo(std::string("bar"); }

the temporary std::string object may be on the stack, but storage for text "bar" is on the heap (unless std::string 
is optimized to store short strings internally).

one can put a printf() inside foo() to print the address of xxx (should be on the stack) and xxx.c_str() (should be 
on the heap). one could also try to print the address of "bar" (should be in the read-only-constant-strings memory 
area). (I am not sure if compiler-linker combines all instances of "bar" into one, this is also easy to check).

K.O.

Just in time, enter std::string_view.
https://stackoverflow.com/questions/40127965/how-exactly-is-stdstring-view-faster-than-const-stdstring

I was looking at https://root.cern/doc/v638/classROOT_1_1Experimental_1_1RFile.html and they use it everywhere instead of 
std::string and const char*.

(so now we have 4 string types to deal with, counting ROOT's TString).

P.S. For extra safety, this code compiles, then explodes:

std::string_view get_temporary_string() {
  std::string s = "temporary";
  return s; // DANGER! 's' is destroyed, view dangles.
}

K.O.

I updated mvodb and test_mvodb. MIDAS ODB and JSON ODB now implement all API 
functions. ReadKey, ReadDir and ReadKeyLastWritten were previously missing from 
some implementations.

I do not remember any other bugs or problems in mvodb, if you want me to add, fix 
or change something, please speak up!

K.O.

> This is moving slowly. I now have RPC caller side support for std::string and 
> std::vector<char>. RPC server side is next. K.O.

The RPC_CXX code is now merged into MIDAS branch feature/rpc_call_cxx.

This code fully supports passing std::string and std::vector<char> through the MIDAS RPC is both directions.

For data passed from client to mserver, memory for string and vector data is allocated automatically as needed.

For data returned from mserver to client, memory to hold returned string and vector data is allocated automatically as 
need.

This means that RPC calls can return data of arbitrary size, the rpc caller does not need to know maximum data size.

Removing this limitation was the main motivation for this development.

I completed this code in June 2024, but could not merge it because I broke my git repository (oops). Now I am doing 
the merge manually. Changes are isolated to rpc_call_encode(), rpc_call_decode() and rpc_execute(). My intent right 
now is to use the new RPC code only for RPCs that pass std::string and std::vector<char>, existing RPCs will use the 
old code without any changes. This seems to be the safest way to move forward.

Included is test_rpc() which tests and probes most normal uses cases and some corner cases. When writing the test 
code, I found a few bugs in the old MIDAS RPC code. If I remember right, I committed fixes for those bugs to main 
MIDAS right then and there.

K.O.

Just to remember, MIDAS has cm_expand_env() to expand environment variables, in 
file paths, etc. It is used in several places in mhttpd, msequencer and mjsonrpc.

std::string my_secret_file = cm_expand_env("$HOME/.ssh/authorised_keys");

One could add it everywhere we open files, etc, except for the security 
consideration. We should not permit any/every web site to read any/every local 
file (directly by injecting malicious js code or by cross-site mjsonrpc call). 
Access should be limited to files in designated MIDAS experiment subdirectories. 
Places like $HOME/.ssh, $HOME/.cache/google-chrome, etc must be protected.

K.O.

In the DL experiment (unknown version of midas, likely mid-summer 2025), we see artefacts in the 
history display where pieces of the data seem to be missing, there is gaps in the graphs. reloading the 
page restores correct display confirming that in fact there is no gaps in the data. This made history 
plots very painful to use.

This problem does not exist anymore in the latest midas, most likely it was fixed around September 4, 
2025. Most likely it was broken since at least February 2025 (previous changes to this file).

If you see this problem, updating mhistory.js to latest version is probably enough to fix it.

K.O.

> 3b) mlogger used to rescan ODB each time a new run is started, this code was removed

One more kink turned out.

One of the computers ran out of disk space, mlogger dutifully recorded the "disk full" errors to midas.log and 
disabling writing to history (all history variables).

This was only noticed about one week later (it is not a busy computer).

In the past, when mlogger reopened the history at each begin of run, the "disk full" errors would have shown 
up in midas.log and somebody would have noticed. Or the problem would have gone away if disk space was cleared 
up.

Now, mlogger just silently continues not writing to history. There is no ongoing error message, there is no 
ongoing alarm, only sign of trouble is empty history plots and history files not growing.

Perhaps we should add an mlogger action to ask the history, "are you ok?" and report in midas.log or alarm if 
history is not happy.

Or have mlogger at the begin of run automatically reenable all disabled history variables. If these variables 
are still unhappy (error writing to disk or to mysql), there will be an error message in midas.log (and 
automatic self-disable).

All these solutions should be okey as long as they do not touch disk storage and so do not cause any long 
delay in run start.

K.O.

Hello Stefan,
is there a difference for the later data processing (after writing the ring buffer blocks)
if we write single events or multiple in one rb_get_wp - memcopy - rb_increment_wp cycle?
Both Marius and me have seen some inconsistencies in the number of events produced that is reported in the status page when writing multiple events in one go,
so I was wondering if this is due to us treating the buffer badly or the way midas handles the events after that.

Given that we produce the full event in our (FPGA) domain, an option would be to always copy one event from the dma to the midas-system buffer in a loop.
The question is if there is a difference (for midas) between
[pseudo code, much simplified]

while(dma_read_index < last_dma_write_index){
  if(rb_get_wp(pdata)!=SUCCESS){
    dma_read_index+=event_size;
    continue;   
  }
  copy_n(dma_buffer, pdata, event_size);
  rb_increment_wp(event_size);
  dma_read_index+=event_size;
} 

and

while(dma_read_index < last_dma_write_index){
  if(rb_get_wp(pdata)!=SUCCESS){
     ...
  };
  total_size=max_n_events_that_fit_in_rb_block();
  copy_n(dma_buffer, pdata, total_size);
  rb_increment_wp(total_size);
  dma_read_index+=total_size;
}

Cheers,
Konrad

> The rb_xxx function are (thoroughly tested!) robust against high data rate given that you use them as intended:
> 
> 1) Once you create the ring buffer via rb_create(), specify the maximum event size (overall event size, not bank size!). Later there is no protection any more, so if you obtain pdata from rb_get_wp, you can of course write 4GB to pdata, overwriting everything in your memory, causing a total crash. It's your responsibility to not write more bytes into pdata then 
> what you specified as max event size in rb_create()
> 
> 2) Once you obtain a write pointer to the ring buffer via rb_get_wp, this function might fail when the receiving side reads data slower than the producing side, simply because the buffer is full. In that case the producing side has to wait until space is freed up in the buffer by the receiving side. If your call to rb_get_wp returns DB_TIMEOUT, it means that the 
> function did not obtain enough free space for the next event. In that case you have to wait (like ss_sleep(10)) and try again, until you succeed. Only when rb_get_wp() returns DB_SUCCESS, you are allowed to write into pdata, up to the maximum event size specified in rb_create of course. I don't see this behaviour in your code. You would need something 
> like
> 
> do {
>    status = rb_get_wp(rbh, (void **)&pdata, 10);
>    if (status == DB_TIMEOUT)
>       ss_sleep(10);
>    } while (status == DB_TIMEOUT);
> 
> Best,
> Stefan
> 
> 
> > Dear all,
> > 
> > we creating Midas events directly inside a FPGA and send them off via DMA into the PC RAM. For reading out this RAM via Midas the FPGA sends as a pointer where it has written the last 4kB of data. We use this pointer for telling the ring buffer of midas where the new events are. The buffer looks something like:
> > 
> > // event 1
> > dma_buf[0] = 0x00000001; // Trigger and Event ID
> > dma_buf[1] = 0x00000001; // Serial number
> > dma_buf[2] = TIME; // time
> > dma_buf[3] = 18*4-4*4; // event size
> > dma_buf[4] = 18*4-6*4; // all bank size
> > dma_buf[5] = 0x11; // flags
> > // bank 0
> > dma_buf[6] = 0x46454230; // bank name
> > dma_buf[7] = 0x6; // bank type TID_DWORD
> > dma_buf[8] = 0x3*4; // data size
> > dma_buf[9] = 0xAFFEAFFE; // data
> > dma_buf[10] = 0xAFFEAFFE; // data
> > dma_buf[11] = 0xAFFEAFFE; // data
> > // bank 1
> > dma_buf[12] = 0x1; // bank name
> > dma_buf[12] = 0x46454231; // bank name
> > dma_buf[13] = 0x6; // bank type TID_DWORD
> > dma_buf[14] = 0x3*4; // data size
> > dma_buf[15] = 0xAFFEAFFE; // data
> > dma_buf[16] = 0xAFFEAFFE; // data
> > dma_buf[17] = 0xAFFEAFFE; // data
> > 
> > // event 2
> > .....
> > 
> > dma_buf[fpga_pointer] = 0xXXXXXXXX;
> > 
> > 
> > And we do something like:
> > 
> > while{true}
> >    // obtain buffer space
> >    status = rb_get_wp(rbh, (void **)&pdata, 10);
> >    fpga_pointer = fpga.read_last_data_add();
> > 
> >    wlen = last_fpga_pointer - fpga_pointer; \\ in 32 bit words
> >    copy_n(&dma_buf[last_fpga_pointer], wlen, pdata);
> >    rb_status = rb_increment_wp(rbh, wlen * 4); \\ in byte
> > 
> >    last_fpga_pointer = fpga_pointer;
> > 
> > Leaving the case out where the dma_buf wrap around this works fine for a small data rate. But if we increase the rate the fpga_pointer also increases really fast and wlen gets quite big. Actually it gets bigger then max_event_size which is checked in rb_increment_wp leading to an error. 
> > 
> > The problem now is that the event size is actually not to big but since we have multi events in the buffer which are read by midas in one step. So we think in this case the function rb_increment_wp is comparing actually the wrong thing. Also increasing the max_event_size does not help.
> > 
> > Remark: dma_buf is volatile so memcpy is not possible here.
> > 
> > Cheers,
> > Marius

> Hi there:
> I have a question if there's anybody out there running MIDAS with event builder
> that assembles events from more that just a few front ends (say on the order of
> 0x10 or more)?
> Any experiences with scalability?
> 
> Cheers
>  Piotr

Mulan (which you hopefully remember with great fondness :-) is currently running
around ten frontends, six of which produce data at any rate.  If I'm remembering
correctly, the event builder handles about 30-40MB/s.  You could probably ping Tim
Gorringe or his current postdoc Volodya Tishenko (tishenko@pa.uky.edu) if you want
more details.  Volodya solved a significant number of throughput related
bottlenecks in the year leading up to our 2006 run.

creating a frontend on MAC Sierra OSX 10
include the midas.h file and when compiling with XCode I get an error based on
this entry in the midas.h include

#if !defined(OS_IRIX) && !defined(OS_VMS) && !defined(OS_MSDOS) &&
!defined(OS_UNIX) && !defined(OS_VXWORKS) && !defined(OS_WINNT)
#error MIDAS cannot be used on this operating system
#endif


Perhaps I should not use Xcode?
Perhaps I won't need Midas.h?

The MIDAS system is running on my MAC but I need to add a very simple front end
for testing and I encounted this error.

One can collapse the side panel when looking at history pages with the button in
the top left, great! We want to see many pages so screen real estate is important

The issue we face is that when the page refreshes, the side panel expands. Can
we make the panel state more 'sticky'?

Many thanks
Joseph (ALPHA)

Version: 	2.1
Revision: 	Mon Mar 19 18:15:51 2018 -0700 - midas-2017-07-c-197-g61fbcd43-dirty
on branch feature/midas-2017-10

> > 
> > 
> > One can collapse the side panel when looking at history pages with the button in
> > the top left, great! We want to see many pages so screen real estate is important
> > 
> > The issue we face is that when the page refreshes, the side panel expands. Can
> > we make the panel state more 'sticky'?
> > 
> > Many thanks
> > Joseph (ALPHA)
> > 
> > Version: 	2.1
> > Revision: 	Mon Mar 19 18:15:51 2018 -0700 - midas-2017-07-c-197-g61fbcd43-dirty
> > on branch feature/midas-2017-10
> 
> Hi Joseph,
> 
> In principle a page refresh should now not be necessary, since pages should reload automatically 
> the contents which changes. If a custom page needs a reload, it is not well designed. If necessary, I 
> can explain the details. 
> 
> Anyhow I implemented your "stickyness" of the side panel in the last commit to the develop branch.
> 
> Best regards,
> Stefan

Hi Stefan,

I apologise for miss using the word refresh. The re-appearing sidebar was also seen with the automatic
reload, I have implemented your fix here and it now works great!

Thank you very much!
Joseph

Hi,

I have been looking at the 2019 workshop slides, I am interested in the C++ future of MIDAS. 

I am quite interested in using the object oriented 


ALPHA will start data taking in 2021

I have written a system monitor tool for MIDAS, that has been merged in the develop branch today: sysmon

https://bitbucket.org/tmidas/midas/pull-requests/8/system-monitoring-a-new-frontend-to-log/diff

To use it, simply run the new program
sysmon
on any host that you want to monitor, no configuring required.




The program is a frontend for MIDAS, there is no need for configuration, as upon initialisation it builds a history display for you. Simply run one instance per machine you want to monitor. By default, it only logs once per 10 seconds.

The equipment name is derived from the hostname, so multiple instances can be run across multiple machines without conflict. A new history display will be created for each host.

sysmon uses the /proc pseudo-filesystem, so unfortunately only linux is supported. It does however work with multiple architectures, so x86 and ARM processors are supported.

If the build machine has NVIDIA drivers installed, there is an additional version of sysmon that gets built: sysmon-nvidia. This will log the GPU temperature and usage, as well as CPU, memory and swap. A host should only run either sysmon or sysmon-nvidia

elog:1727/1 shows the History Display generated by sysmon-nvidia. sysmon would only generate the first two displays (sysmon/localhost and sysmon/localhost-CPU)

A little advertised feature of the modifications needed support the msysmon program is 
that MIDAS equipment names can support the injecting of the hostname of the system 
running the frontend at runtime (register_equipment(void)).

https://midas.triumf.ca/MidasWiki/index.php/Equipment_List_Parameters#Equipment_Name

A special string ${HOSTNAME} can be put in any position in the equipment name. It will 
be replaced with the hostname of the computer running the frontend at run-time. Note, 
the frontend_name string will be trimmed down to 32 characters.
Example usage: msysmon


EQUIPMENT equipment[] = {

  { "${HOSTNAME}_msysmon",   /* equipment name */    {
      EVID_MONITOR, 0,      /* event ID, trigger mask */
      "SYSTEM",             /* event buffer */
      EQ_PERIODIC,          /* equipment type */
      0,                    /* event source */
      "MIDAS",              /* format */
      TRUE,                 /* enabled */
      RO_ALWAYS,            /* Read when running */
      10000,                /* poll every so milliseconds */
      0,                    /* stop run after this event limit */
      0,                    /* number of sub events */
      1,                    /* history period */
      "", "", ""
    },
    read_system_load,/* readout routine */
  },
  { "" }
};

Hi all,

I have been experimenting with a frontend solution for my experiment 
(ALPHA). The intention to replace how we log data from PCs running LabVIEW. 

I am at the proof of concept stage. So far I have some promising 
performance, able to handle 10-100x more data in my test setup (current 
limitations now are just network bandwith, MIDAS is impressively efficient). 

==========================================================================

Our experiment has many PCs using LabVIEW which all log to MIDAS, the 
experiment has grown such that we need some sort of load balancing in our 
frontend.

The concept was to have a 'supervisor frontend' and an array of 'worker 
frontend' processes. 
-A LabVIEW client would connect to the supervisor, then be referred to a 
worker frontend for data logging. 
-The supervisor could start a 'worker frontend' process as the demand 
required.

To increase accountability within the experiment, I intend to have a 'worker 
frontend' per PC connecting. Then any rouge behavior would be clear from the 
MIDAS frontpage.

Presently there around 20-30 of these LabVIEW PCs, but given how the group 
is growing, I want to be sure that my data logging solution will be viable 
for the next 5-10 years. With the increased use of single board computers, I 
chose the target of benchmarking upto 1000 worker frontends... but I quickly 
hit the '64 MAX CLIENTS' and '64 RPC CONNECTION' limit. Ok...

branching and updating these limits:
https://bitbucket.org/tmidas/midas/branch/experimental-beyond_64_clients

I have two commits. 
1. update the memory layout assertions and use MAX_CLIENTS as a variable
https://bitbucket.org/tmidas/midas/commits/302ce33c77860825730ce48849cb810cf
366df96?at=experimental-beyond_64_clients
2. Change the MAX_CLIENTS and MAX_RPC_CONNECTION
https://bitbucket.org/tmidas/midas/commits/f15642eea16102636b4a15c8411330969
6ce3df1?at=experimental-beyond_64_clients

Unintended side effects:
I break compatibility of existing ODB files... the database layout has 
changed and I read my old ODB as corrupt. In my test setup I can start from 
scratch but this would be horrible for any existing experiment.

Edit: I noticed 'make testdiff' pipeline is failing... also fails locally... 
investigating

Early performance results:
In early tests, ~700 PCs logging 10 unique arrays of 10 doubles into 
Equipment variables in the ODB seems to perform well... All transactions 
from client PCs are finished within a couple of ms or less

==========================================================================

Questions:

Does the community here have strong opinions about increasing the 
MAX_CLIENTS and MAX_RPC_CONNECTION limits? 
Am I looking at this problem in a naive way?


Potential solutions other than increasing the MAX_CLIENTS limit:
-Make worker threads inside the supervisor (not a separate process), I am 
using TMFE, so I can dynamically create equipment. I have not yet taken a 
deep dive into how any multithreading is implemented
-One could have a round robin system to load balance between a limited pool 
of 'worker frontend' proccesses. I don't like this solution as I want to 
able to clearly see which client PCs have been setup to log too much data

==========================================================================

Thank you very much for feedback.

I am satisfied with not changing the 64 client limit. I will look at re-writing my frontend to spawn threads rather than 
processses. The load of my frontend is low, so I do not anticipate issues with a threaded implementation. 

In this threaded scenario, it will be a reasonable amount of time until ALPHA bumps into the 64 client limit.

If it avoids confusion, I am happy for my experimental branch 'experimental-beyond_64_clients' to be deleted.

Perhaps a item for future discussion would be for the odbinit program to be able to 'upgrade' the ODB and enable some backwards 
compatibility.

Thanks again
Joseph

A user reported an issue that if they were to plot some history data from 
2019 (a range of one day), the plot would spend ~4 minutes loading then 
crash the browser tab. This seems to effect chrome (under default settings) 
and not firefox

I can reproduce the issue, "Data Being Loaded" shows, then the page and 
canvas loads, then all variables get a correct "last data" timestamp, then 
the 'Updating data ...' status shows... then the tab crashes (chrome)


It seems that the browser is loading all data until the present day (maybe 4 
Gb of data in this case). In chrome the tab then crashes. In firefox, I do 
not suffer the same crash, but I can see the single tab is using ~3.5 Gb of 
RAM

Tested with midas-2020-08-a up until the HEAD of develop

I could propose the user use firefox, or increase the memory limit in 
chrome, however are there plans to limit the data loaded when specifically 
plotting between two dates?