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ID Date Authorup Topic Subject
  1867   27 Mar 2020 Stefan RittForummlogger: misleading error messages for ROOT
Dear simplest solution seems to me to just remove the error message generation and silently ignore the BOE EOR events. 

Committed that change.

Stefan
  1869   27 Mar 2020 Stefan RittForummlogger: misleading error messages for ROOT
Ok, changed.

Stefan
  1870   30 Mar 2020 Stefan RittInfombedtls, mhttpd mongoose 6.16 update
I had some quick look at the new mongoose code and didn't find anything I dislike. Did a quick test of the proxy which worked and is nice to have. 
Agree with all KO said about authentication.

So if there are no complaints, I would suggest that we move the summary of this thread into the official documentation.

Stefan
  1871   03 Apr 2020 Stefan RittInfoChange of TID_xxx data types
We have to request of a 64-bit integer data type to be included in MIDAS banks.
Since 64-bit integers are on some systems "long" and on other systems "long long",
I decided to create the two new data types

TID_INT64
TID_UINT64

which follows more the standard C++ tradition:

https://en.cppreference.com/w/cpp/types/integer

To be consistent, I renamed the old types:

TID_BYTE       -> TID_UINT8
TID_SBYTE      -> TID_INT8
TID_WORD       -> TID_UINT16
TID_SHORT      -> TID_INT16
TID_DWORD      -> TID_UINT32
TID_INT        -> TID_INT32

I left the old definitions in midas.h, so old code will still compile fine and be binary
compatible. But if you write new code, the new types are recommended.

If you save the ODB in ASCII format, the new types are used as stings as well, like

[/Experiment]
ODB timeout = INT32 : 10000

but the old types are still understood when you load an old ODB file.

I hope I didn't break anything, please report if you have any issue.

Stefan
  1873   03 Apr 2020 Stefan RittInfoCLOCK_REALTIME on MacOS
> Dear all,
>        I'm trying to compile MIDAS on MacOS 10.10 and I get this error:
> 
> /Users/francesco/MIDAS/midas/src/system.cxx:3187:18: error: use of undeclared identifier 
> 'CLOCK_REALTIME'
>    clock_settime(CLOCK_REALTIME, &ltm);
> 
> Is it related to my (old) version of MacOS? Can I fix it somehow?
> 
> Thank you,
>       Francesco

If I see this correctly, you need at least MacOSX 10.12. If you can't upgrade, you can just remove line 3187 
from system.cxx. This function is only used in an online environment, where you would run a frontend on your 
Mac, which you probably don't do. So removing it does not hurt you.

Stefan
  1875   21 Apr 2020 Stefan RittSuggestionSequencer loop break
> I am using the Midas sequencer to run subsequent measurements in a loop, without 
> knowing how many iterations in advance. Therefore, I am using the "infinity" 
> option. Since I have other commands after the loop, it would be nice to have the 
> possibility to break the loop, but let the sequencer then finish the rest of the 
> commands. 
> Cheers,
> Ivo

You can do that with the "GOTO" statement, jumping to the first line after the loop.

Here is a working example:


LOOP runs, 5
     WAIT Seconds 3
     IF $runs > 2
         GOTO 7
     ENDIF
ENDLOOP
MESSAGE "Finished", 1

Best,
Stefan
  1877   23 Apr 2020 Stefan RittSuggestionSequencer loop break
> > You can do that with the "GOTO" statement, jumping to the first line after the loop.
> > 
> > Here is a working example:
> > 
> > 
> > LOOP runs, 5
> >      WAIT Seconds 3
> >      IF $runs > 2
> >          GOTO 7
> >      ENDIF
> > ENDLOOP
> > MESSAGE "Finished", 1
> > 
> > Best,
> > Stefan
> 
> Hoi Stefan
> 
> Thanks for your answer. As I understand it, this has to be in the sequence script before 
> running. So, in the end, it is not different than just saying "LOOP runs, 2" and 
> therefore the number of runs has do be known in advance as well. Or is there an option to 
> change the script on runtime? What I would like, is to start a sequence with "LOOP runs, 
> infinite" and when I come back to the experiment after falling asleep being able to break 
> the loop after the next iteration, but still execute everything after ENDLOOP, i.e. the 
> MESSAGE statement in your example. Because if I do a "Stop after current run", this seems 
> not to happen. 
> 
> Best, Ivo

First, you have the sequencer button "Stop after current run", but that does of course ot
execute anything after ENDLOOP. 

Second, you can put anything in the IF statement. Like create a variable on the ODB like
/Experiment/Run parameters/Stop loop and set this to zero. Then put in your script:

...
ODBGET /Experiment/Run parameters/Stop loop, flag
IF $flag == 1
   GOTO 7
...

So once you want to stop the loop, set the flag in the ODB to one.

Best,
Stefan
  Draft   24 Apr 2020 Stefan RittForumAPI to read MIDAS format file
  1880   24 Apr 2020 Stefan RittForumAPI to read MIDAS format file
I guess all three options would work. I just tried mhist and it still works with the "FILE" history

mhist -e <equipment name> -v <variable name> -h 10

for dumping a variable for the last 10 hours.

I could not get mhdump to work with current history files, maybe it only works with "MIDAS" history and not "FILE" history (see https://midas.triumf.ca/MidasWiki/index.php/History_System#History_drivers). Maybe Konstantin who wrote mhdump has some idea.

Writing your own parser is certainly possible (even in Python), but of course more work.

Stefan
  1883   24 Apr 2020 Stefan RittForumAPI to read MIDAS format file

Pintaudi Giorgio wrote:

Hypothetically which one between the two lends itself the better to being "batched"? I mean to be read and controlled by a program/routine. For example, some programs give the option to have the output formatted in json, etc...


Can't say on the top of my head. Both program are pretty old (written well before JSON has been invented, so there is no support for that in both). mhist was written by me mhdump was written by Konstantin. I would both give a try and see what you like more.

Stefan
  1889   26 Apr 2020 Stefan RittForumQuestions and discussions on the Frontend ODB tree structure.
Dear Yu Chen,

in my opinion, you can follow two strategies:

1) Follow the EQ_SLOW example from the distribution, and write some device driver for you hardware to control. There are dozens of experiments worldwide which use that scheme and it works ok for lots of 
different devices. By doing that, you get automatically things like write cache (only write a value to the actual device if it really has chande) and dead band (only write measured data to the ODB if it changes more 
than a certain value to suppress noise). Furthermore, you get events created automatically and history for all your measured variables. This scheme might look complicated on the first look, and it's quite old-
fashioned (no C++ yet) but it has proven stable over the last ~20 years or so. Maybe the biggest advantage of this system is that each device gets its own readout and control thread, so one slow device cannot 
block other devices. Once this has been introduced more than 10 years ago, we saw a big improvement in all experiments.

2) Do everything by yourself. This is the way you describe below. Of course you are free to do whatever you like, you will find "special" solutions for all your problems. But then you move away from the "standard 
scheme" and you loose all the benefits I described under 1) and of course you are on your own. If something does not work, it will be in your code and nobody from the community can help you.

So choose carefully between 1) and 2).

Best regards,
Stefan

> Dear MIDAS developers and colleagues,
> 
>     This is Yu CHEN of School of Physics, Sun Yat-sen University, China, working in the PandaX-III collaboration, an experiment under development to search the neutrinoless double 
> beta decay. We are working on the DAQ and slow control systems and would like to use Midas framework to communicate with the custom hardware systems, generally via Ethernet 
> interfaces. So currently we are focusing on the development of the FRONTEND program of Midas and have some questions and discussions on its ODB structure. Since I’m still not 
> experienced in the framework, it would be precious that you can provide some suggestions on the topic.
>     The current structure of the frontend ODB tree we have designed, together with our understanding on them, is as follows:
>       /Equipment/<frontend_name>/
>         ->  /Common/: Basic controls and left unchanged.
>         ->  /Variables/: (ODB records with MODE_READ) Monitored values that are AUTOMATICALLY updated from the bank data within each packed event. It is done by the update_odb() 
> function in mfe.cxx.
>         ->  /Statistics/: (ODB records with MODE_WRITE) Default status values that are AUTOMATICALLY updated by the calling of db_send_changed_records() within the mfe.cxx.
>         ->  /Settings/: All the user defined data can be located here. 
>             -> /stat/: (ODB records with MODE_WRITE) All the monitored values as well as program internal status. The update operation is done simultaneously when 
> db_send_changed_records() is called within the mfe.cxx.
>             -> /set/: (ODB records with MODE_READ) All the “Control” data used to configure the custom program and custom hardware.
> 
>     For our application, some of the our detector equipment outputs small amount of status and monitored data together with the event data, so we currently choose not to use EQ_SLOW 
> and 3-layer drivers for the readout. Our solution is to create two ODB sub-trees in the /Settings/ similar to what the device_driver does. However, this could introduce two 
> troubles:
>     1) For /Settings/stat/: To prevent the potential destroy on the hot-links of /Variables/ and /Statistics/ sub-trees, all our status and monitored data are stored separately in 
> the /Settings/stat/ sub-tree. Another consideration is that some monitored data are not directly from the raw data, so packaging them into the Bank for later showing in /Variables/ 
> could somehow lead to a complicated readout() function. However, this solution may be complicated for history loggings. I have find that the ANALYZER modules could provide some 
> processes for writing to the /Variables/ sub-tree, so I would like to know whether an analyzer should be used in this case.
>     2) For /Settings/set/: The “control” data (similar to the “demand” data in the EQ_SLOW equipment) are currently put in several /Settings/set/ sub-trees where each key in 
> them is hot-linked to a pre-defined hardware configuration function. However, some control operations are not related to a certain ODB key or related to several ODB keys (e.g. 
> configuration the Ethernet sockets), so the dispatcher function should be assigned to the whole sub-tree, which I think can slow the response speed of the software. What we are 
> currently using is to setup a dedicated “control key”, and then the input of different value means different operations (e.g. 1 means socket opening, 2 means sending the UDP 
> packets to the target hardware, et al.). This “control key” is also used to develop the buttons to be shown on the Status/Custom webpage. However, we would like to have your 
> suggestions or better solutions on that, considering the stability and fast response of the control.
> 
>     We are not sure whether the above understanding and troubles on the Midas framework are correct or they are just due to our limits on the knowledge of the framework, so we 
> really appreciate your knowledge and help for a better using on Midas. Thank you so much!
  1890   26 Apr 2020 Stefan RittInfoCLOCK_REALTIME on MacOS
> > > /Users/francesco/MIDAS/midas/src/system.cxx:3187:18: error: use of undeclared identifier 
> > > 'CLOCK_REALTIME'
> > >    clock_settime(CLOCK_REALTIME, &ltm);
> > > 
> > > Is it related to my (old) version of MacOS? Can I fix it somehow?
> 
> I think the "set clock" function is a holdover from embedded operating systems
> that did not keep track of clock time, i.e. VxWorks, and similar. Here a midas program
> will get the time from the mserver and set it on the local system. Poor man's ntp,
> poor man's ntpd/chronyd.
> 
> We should check if this function is called by anything, and if nothing calls it, maybe remove it?
> 
> K.O.

It's called in mfe.cxx via cm_synchronize:

/* set time from server */
#ifdef OS_VXWORKS
   cm_synchronize(NULL);
#endif

This was for old VxWorks systems which had no ntp/crond. Was asked for by Pierre long time ago. I don't use it 
(have no VxWorks). We can either remove it completely, or remove just the MacOSX part and just exit the program 
if called with an error message "not implemented on this OS".

Stefan
  1892   01 May 2020 Stefan RittForumTaking MIDAS beyond 64 clients
Hi Joseph,

here some thoughts from my side:

- Breaking ODB compatibility in the master/develop midas branch is very bad, since almost all experiments worldwide are affected if they just do blindly a pull and want to recompile and rerun. Currently, 
even during our Corona crisis, still some experiments are running and monitored remotely.

- On the other hand, if we have to break compatibility, now is maybe a good time since most accelerators worldwide are off. But before doing so, I would like to get feedback from the main experiments 
around the world (MEG, T2K, g-2, DEAP besides ALPHA).

- Having a maximum of 64 clients was originally decided when memory was scarce. In the early days one had just a couple of megabytes of share memory. Now this is not an issue any more, but I see 
another problem. The main status page gives a nice overview of the experiment. This only works because there is a limited number of midas clients and equipments. If we blow up to 1000+, the status 
page would be rather long and we have to scroll up and down forever. In such a scenario one would have at least to redesign the status and program pages. To start your experiment, you would have to 
click 1000 times to start each front-end, also not very practicable.

- Having 100's or 1000's of front-ends calls rather for a hierarchical design, like the LHC experiments have. That would be a major change of midas and cannot be done quickly. It would also result in 
much slower run start/stops.

- If you see limitations with your LabVIEW PCs, have you considered multi-threading on your front-ends? Note that the standard midas slow control system supports multithreaded devices 
(DF_MULTITHREAD). In MEG, we use about 800 microcontrollers via the MSCB protocol. They are grouped together and each group is a multithreaded device in the midas slow control lingo, meaning the 
group gets its own thread for control and readout in the midas frontend. This way, one group cannot slow down all other groups. There is one front-end for all groups, which can be started/stopped with 
a single click, it shows up just as one line in the status page, and still it's pretty fast. Have you considered such a scheme? So your LabVIEW PCs would not be individual front-ends, but just make a 
network connection to the midas front-end which then manages all LabVEIW PCs. The midas slow control system allows to define custom commands (besides the usual read/write command for slow 
control data), so you could maybe integrate all you need into that scheme.

Best,
Stefan

> 
> 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' is failing... also fails lok
> 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
> ==========================================================================
  1894   02 May 2020 Stefan RittForumTaking MIDAS beyond 64 clients
TRIUMF stayed quiet, probably they have other things to do.

I allowed myself to move the maximum number of clients back to its original value, in order not to break running experiments. 
This does not mean that the increase is a bad idea, we just have to be careful not to break running experiments. Let's discuss it
more thoroughly here before we make a decision in that direction.

Best regards,
Stefan
  1896   02 May 2020 Stefan RittForumTaking MIDAS beyond 64 clients
> Perhaps a item for future discussion would be for the odbinit program to be able to 'upgrade' the ODB and enable some backwards 
> compatibility.

We had this discussion already a few times. There is an ODB version number (DATABSE_VERSION 3 in midas.h) which is intended for that. If we break teh 
binary compatibility, programs should complain "ODB version has changed, please run ...", then odbinit (written by KO) should have a well-defined 
procedure to upgrade existing ODBs by re-creating them, but keeping all old contents. This should be tested on a few systems.

Stefan
  1903   03 May 2020 Stefan RittForumAPI to read MIDAS format file
> PS some time ago, I don't remember if you or Stefan, recommended CLion as C++ IDE. I have tried it 
> (together with PyCharm) and I must admit that it is really good. It took me years to configure Emacs 
> as a IDE, while it took me minutes to have much better results in CLion. Thank you very much for 
> your recommendation.

Was probably me. I use it as my standard IDE and am quite happy with it. All the things KO likes with emacs, plus much 
more. Especially the CMake integration is nice, since you don't have to leave the IDE for editing, compiling and debugging. 
The tooltips the IDE gave me in the past months made me write code much better. So quite an opposite opinion compared 
with KO, but luckily this planet has space for all kinds of opinions. I made myself the cheat sheet attached, which lets me 
do things much faster. Maybe you can use it.

Stefan
Attachment 1: ReferenceCardForMac.pdf
ReferenceCardForMac.pdf
  1906   12 May 2020 Stefan RittInfoNew ODB++ API
Since the beginning of the lockdown I have been working hard on a new object-oriented interface to the online database ODB. I have the code now in an initial state where it is ready for 
testing and commenting. The basic idea is that there is an object midas::odb, which represents a value or a sub-tree in the ODB. Reading, writing and watching is done through this 
object. To get started, the new API has to be included with

   #include <odbxx.hxx>

To create ODB values under a certain sub-directory, you can either create one key at a time like:

   midas::odb o;
   o.connect("/Test/Settings", true);   // this creates /Test/Settings
   o.set_auto_create(true);            // this turns on auto-creation
   o["Int32 Key"] = 1;                 // create all these keys with different types
   o["Double Key"] = 1.23;
   o["String Key"] = "Hello";

or you can create a whole sub-tree at once like:

  midas::odb o = {
    {"Int32 Key", 1},
    {"Double Key", 1.23},
    {"String Key", "Hello"},
    {"Subdir", {
      {"Another value", 1.2f}
    }
  };
  o.connect("/Test/Settings");

To read and write to the ODB, just read and write to the odb object

   int i = o["Int32 Key];
   o["Int32 Key"] = 42;
   std::cout << o << std::endl;

This works with basic types, strings, std::array and std::vector. Each read access to this object triggers an underlying read from the ODB, and each write access triggers a write to the 
ODB. To watch a value for change in the odb (the old db_watch() function), you can use now c++ lambdas like:

   o.watch([](midas::odb &o) {
      std::cout << "Value of key \"" + o.get_full_path() + "\" changed to " << o << std::endl;
   });

Attached is a full running example, which is now also part of the midas repository. I have tested most things, but would not yet use it in a production environment. Not 100% sure if there 
are any memory leaks. If someone could valgrind the test program, I would appreciate (currently does not work on my Mac).

Have fun!

Stefan

  
Attachment 1: odbxx_test.cxx
/********************************************************************\

  Name:         odbxx_test.cxx
  Created by:   Stefan Ritt

  Contents:     Test and Demo of Object oriented interface to ODB

\********************************************************************/

#include <string>
#include <iostream>
#include <array>
#include <functional>

#include "odbxx.hxx"
#include "midas.h"

/*------------------------------------------------------------------*/

int main() {

   cm_connect_experiment(NULL, NULL, "test", NULL);
   midas::odb::set_debug(true);

   // create ODB structure...
   midas::odb o = {
           {"Int32 Key", 42},
           {"Bool Key", true},
           {"Subdir", {
              {"Int32 key", 123 },
              {"Double Key", 1.2},
              {"Subsub", {
                 {"Float key", 1.2f},     // floats must be explicitly specified
                 {"String Key", "Hello"},
              }}
           }},
           {"Int Array", {1, 2, 3}},
           {"Double Array", {1.2, 2.3, 3.4}},
           {"String Array", {"Hello1", "Hello2", "Hello3"}},
           {"Large Array", std::array<int, 10>{} },   // array with explicit size
           {"Large String", std::string(63, '\0') },  // string with explicit size
   };

   // ...and push it to ODB. If keys are present in the
   // ODB, their value is kept. If not, the default values
   // from above are copied to the ODB
   o.connect("/Test/Settings", true);

   // alternatively, a structure can be created from an existing ODB subtree
   midas::odb o2("/Test/Settings/Subdir");
   std::cout << o2 << std::endl;

   // retrieve, set, and change ODB value
   int i = o["Int32 Key"];
   o["Int32 Key"] = i+1;
   o["Int32 Key"]++;
   o["Int32 Key"] *= 1.3;
   std::cout << "Should be 57: " << o["Int32 Key"] << std::endl;

   // test with bool
   o["Bool Key"] = !o["Bool Key"];

   // test with std::string
   std::string s = o["Subdir"]["Subsub"]["String Key"];
   s += " world!";
   o["Subdir"]["Subsub"]["String Key"] = s;

   // test with a vector
   std::vector<int> v = o["Int Array"];
   v[1] = 10;
   o["Int Array"] = v;        // assign vector to ODB object
   o["Int Array"][1] = 2;     // modify ODB object directly
   i = o["Int Array"][1];     // read from ODB object
   o["Int Array"].resize(5);  // resize array
   o["Int Array"]++;          // increment all values of array

   // test with a string vector
   std::vector<std::string> sv;
   sv = o["String Array"];
   sv[1] = "New String";
   o["String Array"] = sv;
   o["String Array"][2] = "Another String";

   // iterate over array
   int sum = 0;
   for (int e : o["Int Array"])
      sum += e;
   std::cout << "Sum should be 11: " << sum << std::endl;

   // creat key from other key
   midas::odb oi(o["Int32 Key"]);
   oi = 123;

   // test auto refresh
   std::cout << oi << std::endl;    // each read access reads value from ODB
   oi.set_auto_refresh_read(false); // turn off auto refresh
   std::cout << oi << std::endl;    // this does not read value from ODB
   oi.read();                       // this does manual read
   std::cout << oi << std::endl;

   midas::odb ox("/Test/Settings/OTF");
   ox.delete_key();

   // create ODB entries on-the-fly
   midas::odb ot;
   ot.connect("/Test/Settings/OTF", true);   // this forces /Test/OTF to be created if not already there
   ot.set_auto_create(true);        // this turns on auto-creation
   ot["Int32 Key"] = 1;             // create all these keys with different types
   ot["Double Key"] = 1.23;
   ot["String Key"] = "Hello";
   ot["Int Array"] = std::array<int, 10>{};
   ot["Subdir"]["Int32 Key"] = 42;
   ot["String Array"] = std::vector<std::string>{"S1", "S2", "S3"};
   std::cout << ot << std::endl;

   o.read();                        // re-read the underlying ODB tree which got changed by above OTF code
   std::cout << o.print() << std::endl;

   // iterate over sub-keys
   for (auto& oit : o)
      std::cout << oit.get_odb()->get_name() << std::endl;

   // print whole sub-tree
   std::cout << o.print() << std::endl;

   // dump whole subtree
   std::cout << o.dump() << std::endl;

   // delete test key from ODB
   o.delete_key();

   // watch ODB key for any change with lambda function
   midas::odb ow("/Experiment");
   ow.watch([](midas::odb &o) {
      std::cout << "Value of key \"" + o.get_full_path() + "\" changed to " << o << std::endl;
   });

   do {
      int status = cm_yield(100);
      if (status == SS_ABORT || status == RPC_SHUTDOWN)
         break;
   } while (!ss_kbhit());

   cm_disconnect_experiment();
   return 1;
}
  1908   13 May 2020 Stefan RittForumList of sequencer files
If you load a file into the sequencer from the web interface, you get a list of all files in that directory. 
This basically gives you a list of possible sequencer files. It's even more powerful, since you can 
create subdirectories and thus group the sequencer files. Attached an example from our 
experiment.

Stefan
Attachment 1: Screenshot_2020-05-13_at_9.11.55_.png
Screenshot_2020-05-13_at_9.11.55_.png
  1914   20 May 2020 Stefan RittInfoNew ODB++ API
In meanwhile, there have been minor changes and improvements to the API:

Previously, we had:

>    midas::odb o;
>    o.connect("/Test/Settings", true);   // this creates /Test/Settings
>    o.set_auto_create(true);            // this turns on auto-creation
>    o["Int32 Key"] = 1;                 // create all these keys with different types
>    o["Double Key"] = 1.23;
>    o["String Key"] = "Hello";

Now, we only need:

      o.connect("/Test/Settings");
      o["Int32 Key"] = 1;                 // create all these keys with different types
      ...

no "true" needed any more. If the ODB tree does not exist, it gets created. Similarly, set_auto_create() can be dropped, it's on by default (thought this makes more sense). Also the iteration over subkeys has 
been changed slightly.

The full example attached has been updated accordingly. 

Best,
Stefan
Attachment 1: odbxx_test.cxx
/********************************************************************\

  Name:         odbxx_test.cxx
  Created by:   Stefan Ritt

  Contents:     Test and Demo of Object oriented interface to ODB

\********************************************************************/

#include <string>
#include <iostream>
#include <array>
#include <functional>

#include "midas.h"
#include "odbxx.hxx"

/*------------------------------------------------------------------*/

int main() {

   cm_connect_experiment(NULL, NULL, "test", NULL);
   midas::odb::set_debug(true);

   // create ODB structure...
   midas::odb o = {
      {"Int32 Key", 42},
      {"Bool Key", true},
      {"Subdir", {
         {"Int32 key", 123 },
         {"Double Key", 1.2},
         {"Subsub", {
            {"Float key", 1.2f},     // floats must be explicitly specified
            {"String Key", "Hello"},
         }}
      }},
      {"Int Array", {1, 2, 3}},
      {"Double Array", {1.2, 2.3, 3.4}},
      {"String Array", {"Hello1", "Hello2", "Hello3"}},
      {"Large Array", std::array<int, 10>{} },   // array with explicit size
      {"Large String", std::string(63, '\0') },  // string with explicit size
   };

   // ...and push it to ODB. If keys are present in the
   // ODB, their value is kept. If not, the default values
   // from above are copied to the ODB
   o.connect("/Test/Settings");

   // alternatively, a structure can be created from an existing ODB subtree
   midas::odb o2("/Test/Settings/Subdir");
   std::cout << o2 << std::endl;

   // set, retrieve, and change ODB value
   o["Int32 Key"] = 42;
   int i = o["Int32 Key"];
   o["Int32 Key"] = i+1;
   o["Int32 Key"]++;
   o["Int32 Key"] *= 1.3;
   std::cout << "Should be 57: " << o["Int32 Key"] << std::endl;

   // test with bool
   o["Bool Key"] = false;
   o["Bool Key"] = !o["Bool Key"];

   // test with std::string
   o["Subdir"]["Subsub"]["String Key"] = "Hello";
   std::string s = o["Subdir"]["Subsub"]["String Key"];
   s += " world!";
   o["Subdir"]["Subsub"]["String Key"] = s;

   // test with a vector
   std::vector<int> v = o["Int Array"]; // read vector
   std::fill(v.begin(), v.end(), 10);
   o["Int Array"] = v;        // assign vector to ODB array
   o["Int Array"][1] = 2;     // modify array element
   i = o["Int Array"][1];     // read from array element
   o["Int Array"].resize(5);  // resize array
   o["Int Array"]++;          // increment all values of array

   // test with a string vector
   std::vector<std::string> sv;
   sv = o["String Array"];
   sv[1] = "New String";
   o["String Array"] = sv;
   o["String Array"][2] = "Another String";

   // iterate over array
   int sum = 0;
   for (int e : o["Int Array"])
      sum += e;
   std::cout << "Sum should be 47: " << sum << std::endl;

   // creat key from other key
   midas::odb oi(o["Int32 Key"]);
   oi = 123;

   // test auto refresh
   std::cout << oi << std::endl;    // each read access reads value from ODB
   oi.set_auto_refresh_read(false); // turn off auto refresh
   std::cout << oi << std::endl;    // this does not read value from ODB
   oi.read();                       // this forces a manual read
   std::cout << oi << std::endl;

   // create ODB entries on-the-fly
   midas::odb ot;
   ot.connect("/Test/Settings/OTF");// this forces /Test/OTF to be created if not already there
   ot["Int32 Key"] = 1;             // create all these keys with different types
   ot["Double Key"] = 1.23;
   ot["String Key"] = "Hello";
   ot["Int Array"] = std::array<int, 10>{};
   ot["Subdir"]["Int32 Key"] = 42;
   ot["String Array"] = std::vector<std::string>{"S1", "S2", "S3"};
   std::cout << ot << std::endl;

   o.read();                        // re-read the underlying ODB tree which got changed by above OTF code
   std::cout << o.print() << std::endl;

   // iterate over sub-keys
   for (midas::odb& oit : o)
      std::cout << oit.get_name() << std::endl;

   // print whole sub-tree
   std::cout << o.print() << std::endl;

   // dump whole subtree
   std::cout << o.dump() << std::endl;

   // delete test key from ODB
   o.delete_key();

   // watch ODB key for any change with lambda function
   midas::odb ow("/Experiment");
   ow.watch([](midas::odb &o) {
      std::cout << "Value of key \"" + o.get_full_path() + "\" changed to " << o << std::endl;
   });

   do {
      int status = cm_yield(100);
      if (status == SS_ABORT || status == RPC_SHUTDOWN)
         break;
   } while (!ss_kbhit());

   cm_disconnect_experiment();
   return 1;
}
  1922   28 May 2020 Stefan RittSuggestionODB++ API - documantion updates and odb view after key creation
> 2. When I create an ODB structure with the new API I do for example:
> 
>     midas::odb stream_settings = {
>             {"Test_odb_api", {
>                                       {"Divider", 1000},     // int
>                                       {"Enable", false},     // bool
>                               }},
>     };
>     stream_settings.connect("/Equipment/Test/Settings", true);
> 
> and with 
> 
> midas::odb datagen("/Equipment/Test/Settings/Test_odb_api");
> std::cout << "Datagenerator Enable is " << datagen["Enable"] << std::endl;
> 
> I am getting back false. Which looks nice but when I look into the odb via the browser the value is actually "y" meaning true which is stange. I added my frontend where I cleaned all function leaving only the frontend_init() one where I create this key. Its a cuda program but since I clean everything no cuda function is called anymore.

I cannot confirm this behaviour. Just put following code in a standalone program:

cm_connect_experiment(NULL, NULL, "test", NULL);
   midas::odb::set_debug(true);

   midas::odb stream_settings = {
           {"Test_odb_api", {
               {"Divider", 1000},     // int
               {"Enable", false},     // bool
           }},
   };
   stream_settings.connect("/Equipment/Test/Settings", true);

   midas::odb datagen("/Equipment/Test/Settings/Test_odb_api");
   std::cout << "Datagenerator Enable is " << datagen["Enable"] << std::endl;

and run it. The result is:

...
Get ODB key "/Equipment/Test/Settings/Test_odb_api/Enable": false
Datagenerator Enable is Get ODB key "/Equipment/Test/Settings/Test_odb_api/Enable": false
false

Looking in the ODB, I also see 

[local:Online:S]/>cd Equipment/Test/Settings/Test_odb_api/
[local:Online:S]Test_odb_api>ls
Divider                         1000
Enable                          n
[local:Online:S]Test_odb_api>


So not sure what is different in your case. Are you looking to the same ODB? Maybe you have one remote, and local? 
Note that the "true" flag in stream_settings.connect(..., true); forces all default values into the ODB. 
So if the ODB value is "y", it will be cdhanged to "n".

Best,
Stefan
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