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Compiling and running under v2.4.0
To get set up, you'll need access to the ups product area /cvmfs/dune.opensciencegrid.org/dunedaq/DUNE/products, as is the case, e.g., on the lxplus machines at CERN.
daq-buildtools is a simple package that provides environment and building utilities for the DAQ Suite.
Each cloned daq-buildtools can serve as many work areas as the developer wishes.
The repository can simply be cloned via
# v2.3.0 corresponds to the dunedaq-v2.4.0 release
git clone https://github.com/DUNE-DAQ/daq-buildtools.git -b v2.3.0This step doesn't have to be run more than once per daq-buildtools version.
The dbt setup script has to be sourced to make the dbt scripts available in the commandline regardless of the current work directory. Run:
source daq-buildtools/dbt-setup-env.sh..and you'll see something like:
Added /your/path/to/daq-buildtools/bin to PATH
Added /your/path/to/daq-buildtools/scripts to PATH
DBT setuptools loaded
After this step daq-buildtools scripts and aliases will be accessible from your commandline regardless of the current working directory. They include dbt-create.sh, dbt-build.sh and the aliases dbt-setup-build-environment and dbt-setup-runtime-environment which are used in the following sections.
Each time that you want to work with a DUNE DAQ development area in a fresh Linux shell, you'll need to set up daq-buildtools using the dbt-setup-env.sh script, as described above.
Once you've sourced dbt-setup-env.sh, you're now ready to create a development area. Create an empty directory (give it any name, but we'll refer to it as "MyTopDir" on this wiki) and 'cd' into it. Then run:
# dunedaq-v2.4.0 is the most recent release as of 19-Mar-2021
dbt-create.sh <release> <top dir>which will set up an area to place the repos you wish to build.
MyTopDir
├── build
├── dbt-pyvenv
├── dbt-settings
├── log
└── sourcecode
├── CMakeLists.txt
└── dbt-build-order.cmakeFor the purposes of instruction, let's build the listrev package. Downloading it is simple:
cd sourcecode
# v2.1.1 corresponds to the dunedaq-v2.4.0 release
git clone https://github.com/DUNE-DAQ/listrev.git -b v2.1.1
cd ..Note the assumption above is that you aren't developing listrev; if you were, then you'd want to replace -b v2.1.1 with -b <branch you want to work on>.
n.b. Some packages which were available through ups setup for dunedaq-v2.2.0, such as dfmessages, need to be built off their repo for dunedaq-v2.3.0. Also be aware that often sets of repos in the work area will only build together if the right set of branches for those repos is chosen; contact your group or look at the minidaqapp wiki for further details)
Sometimes it is necessary to tweak the baseline list of UPS products or even UPS product pools to add extra dependencies.
This can be easily done by editing the dbt-settings file copied over from daq-buildtools by dbt-create.sh and adding the new entries to dune_products_dirs and dune_daqpackages as needed. See /example/of/additional/user/declared/product/pool and package_declared_by_user v1_2_3 e19:prof in the example of an edited dbt-settings file, below:
dune_products_dirs=(
"/cvmfs/dune.opensciencegrid.org/dunedaq/DUNE/releases/dunedaq-v2.4.0/externals"
"/cvmfs/dune.opensciencegrid.org/dunedaq/DUNE/releases/dunedaq-v2.4.0/packages"
#"/cvmfs/dune.opensciencegrid.org/dunedaq/DUNE/products"
#"/cvmfs/dune.opensciencegrid.org/dunedaq/DUNE/products_dev"
)
dune_systems=(
"gcc v8_2_0"
"python v3_8_3b"
)
dune_devtools=(
"cmake v3_17_2"
"gdb v9_2"
"ninja v1_10_0"
)
dune_externals=(
"cetlib v3_11_01 e19:prof"
"TRACE v3_16_02"
"folly v2020_05_25a e19:prof"
"nlohmann_json v3_9_0c e19:prof"
"pistache v2020_10_07 e19:prof"
"highfive v2_2_2b e19:prof"
"zmq v4_3_1c e19:prof"
"cppzmq v4_3_0 e19:prof"
"msgpack_c v3_3_0 e19:prof"
"felix v1_1_1 e19:prof"
"pybind11 v2_6_2 e19:prof"
"uhal v2_8_0 e19:prof"
)
dune_daqpackages=(
"daq_cmake v1_3_3 e19:prof"
"ers v1_1_2 e19:prof"
"logging v1_0_1b e19:prof"
"cmdlib v1_1_2 e19:prof"
"restcmd v1_1_2 e19:prof"
"opmonlib v1_1_0 e19:prof"
"rcif v1_0_1b e19:prof"
"appfwk v2_2_2 e19:prof"
"listrev v2_1_1b e19:prof"
"serialization v1_1_0 e19:prof"
"flxlibs v1_0_0 e19:prof"
"dataformats v2_0_0 e19:prof"
"dfmessages v2_0_0 e19:prof"
"dfmodules v2_0_2 e19:prof"
"trigemu v2_1_0 e19:prof"
"readout v1_2_0 e19:prof"
"minidaqapp v2_1_1 e19:prof"
"ipm v2_0_1 e19:prof"
"timing v5_3_0 e19:prof"
"timinglibs v1_0_0 e19:prof"
"influxopmon v1_0_1 e19:prof"
"nwqueueadapters v1_2_0 e19:prof"
)As the names suggest, dune_products_dirs contains the list of UPS product pools and dune_daqpackages contains a list of UPS products sourced by dbt-setup-build-environment (described below). If you've already sourced dbt-setup-build-environment before editing the dbt-settings file, you'll need to log into a fresh shell and source dbt-setup-env.sh and dbt-setup-build-environment again.
We're about to build and install the listrev package. (🔴 Note: if you are working with other packages, have a look at the Working with more repos subsection before running the following build command.) By default, the scripts will create a subdirectory of MyTopDir called ./install and install any packages you build off your repos there. If you wish to install them in another location, you'll want to set the environment variable DBT_INSTALL_DIR to the desired installation path after the dbt-setup-build-environment command described below, but before the dbt-build.sh command.
Now, do the following:
dbt-setup-build-environment # Only needs to be done once in a given shell
dbt-build.sh --install...and this will build listrev in the local ./build subdirectory and then install it as a package either in the local ./install subdirectory or in whatever you pointed DBT_INSTALL_DIR to.
To work with more repos, add them to the ./sourcecode subdirectory as we did with listrev. Be aware, though: if you're developing a new repo which itself depends on another new repo, daq-buildtools may not already know about this dependency. "New" in this context means "not found on https://github.com/DUNE-DAQ as of ~19-Mar-2021". If this is the case, you have one of two options:
- (Recommended) Add the names of your new packages to the
build_orderlist found in./sourcecode/dbt-build-order.cmake, placing them in the list in the relative order in which you want them to be built. - First clone, build and install your new base repo, and THEN clone, build and install your other new repo which depends on your new base repo.
dbt-build.sh will by default skip CMake's config+generate stages and go straight to the build stage unless either the CMakeCache.txt file isn't found in ./build or you've just added a new repo to ./sourcecode. If you want to remove all the contents of ./build and run config+generate+build, all you need to do is add the --clean option, i.e.
dbt-build.sh --clean --install
And if, after the build, you want to run the unit tests, just add the --unittest option. Note that it can be used with or without --clean, so, e.g.:
dbt-build.sh --clean --install --unittest # Blow away the contents of ./build, run config+generate+build, and then run the unit tests
..where in the above case, you blow away the contents of ./build, run config+generate+build, install the result in ./install and then run the unit tests. Be aware that for many packages, unit tests will only (fully) work if you've also set up their runtime environment; how to do this is described below in the "Running" section of this document.
To check for deviations from the coding rules described in the DUNE C++ Style Guide, run with the --lint option:
dbt-build.sh --lint
...though be aware that some guideline violations (e.g., having a function which tries to do unrelated things) can't be picked up by the automated linter.
Note that unlike the other options to dbt-build.sh, --lint and --unittest are both capable of taking an optional argument, which is the name of a specific repo in your work area which you'd like to either lint or run unit tests for. This can be useful if you're focusing on developing one of several repos in your work area. E.g., dbt-build.sh --lint <repo you're working on>.
If you want to see verbose output from the compiler, all you need to do is add the --verbose option:
dbt-build.sh --verbose
You can see all the options listed if you run the script with the --help command, i.e.
dbt-build.sh --help
Finally, note that both the output of your builds and your unit tests are logged to files in the ./log subdirectory. These files may have ASCII color codes which make them difficult to read with some tools; more or cat, however, will display the colors and not the codes themselves.
In order to run the applications built during the above procedure, the system needs to be instructed on where to look for the libraries that can be used to instantiate objects. This is handled by the dbt-setup-runtime-environment script which was placed in MyTopDir when you ran dbt-create.sh; all you need to do is the following:
dbt-setup-runtime-environment
Note that if you add a new repo to your development area, after building your new code you'll need to run the script again.
Once the runtime environment is set, just run the application you need. listrev, however, has no applications; it's just a DAQ module plugin which get added to CET_PLUGIN_PATH.
We're now going to go through a demo in which we'll use a DAQ module from listrev called RandomDataListGenerator to generate vectors of random numbers and then reverse them with listrev's ListReverser module.
One of the packages that's part of the standard DUNE DAQ package suite which gets set up when you run dbt-setup-build-environment is cmdlib. This package comes with a basic implementation that is capable of sending available command objects from a pre-loaded file, by typing their command IDs to standard input. This command facility is useful for local, test oriented use-cases. In the same runtime area, launch the application like this:
python -m listrev.app_confgen
daq_application -n <some name for the application instance> -c stdin://listrev-app.json
and (keeping in mind that you'll want to scroll the contents below horizontally to see the full output) you'll see something like
2021-Mar-02 13:09:35,342 LOG [stdinCommandFacility::stdinCommandFacility(...) at /scratch/workdir0/sourcecode/cmdlib/plugins/stdinCommandFacility.cpp:55] Loading commands from file: sourcecode/listrev/test/list-reversal-app.json
2021-Mar-02 13:09:35,342 LOG [stdinCommandFacility::run(...) at /scratch/workdir0/sourcecode/cmdlib/plugins/stdinCommandFacility.cpp:83] Available commands: | init | conf | start | stop
What you want to do first is type init. Next, type conf to execute the configuration, and then start to begin the actual process of moving vectors between the two modules. You should see output like the following:
2021-Mar-02 13:12:40,291 DEBUG_63 [dunedaq::listrev::RandomDataListGenerator::do_work(...) at /scratch/workdir0/sourcecode/listrev/plugins/RandomDataListGenerator.cpp:163] Generated list #3 with contents {363, 28, 691, 60, 764} and size 5. DAQModule: rdlg
2021-Mar-02 13:12:40,291 DEBUG_63 [dunedaq::listrev::ListReverser::do_work(...) at /scratch/workdir0/sourcecode/listrev/plugins/ListReverser.cpp:134] Reversed list #3, new contents {764, 60, 691, 28, 363} and size 5. DAQModule: lr
2021-Mar-02 13:12:40,291 DEBUG_63 [dunedaq::listrev::ReversedListValidator::do_work(...) at /scratch/workdir0/sourcecode/listrev/plugins/ReversedListValidator.cpp:159] Validating list #3, original contents {363, 28, 691, 60, 764} and reversed contents {764, 60, 691, 28, 363}. DAQModule: rlv
To stop this, type the stop command. Ctrl-c will exit you out.
For a more realistic use-case where you can send commands to the application from other services and applications, the restcmd package provides a command handling implementation through HTTP. To use this plugin, we call daq_application in the following manner:
daq_application -n <some name for the application instance> --commandFacility rest://localhost:12345To control it, let's open up a second terminal, set up the daq-buildtools' dbt-setup-env.sh script as you did in the first terminal, and start sending daq_application commands:
cd MyTopDir
dbt-setup-runtime-environment
send-restcmd.py --interactive --file ./sourcecode/listrev/test/list-reversal-app.jsonYou'll now see
Target url: http://localhost:12345/command
This is a list of commands.
Interactive mode. Type the ID of the next command to send, or type 'end' to finish.
Available commands: [u'init', u'conf', u'start', u'stop']
Press enter a command to send next: And you can again type init, etc. However, unlike previously, now you'll want to look in the other terminal running daq_application to see it responding to the commands. As before, Ctrl-c will exit you out of these applications.
daq_application Command Line Arguments
Use daq_application --help to see all of the possible options:
bash$ daq_application --help
daq_application known arguments (additional arguments will be stored and passed on):
-c [ --commandFacility ] arg CommandFacility URI
-h [ --help ] produce help messageSome additional information
To enable the sending of TRACE messages to a memory buffer, you can set one of several TRACE environmental variables before running appfwk/apps/simple_test_app. One example is to use a command like export TRACE_NAME=TRACE. (For more details, please see the TRACE package documentation. For example, the Circular Memory Buffer section in the TRACE Quick Start talks about the env vars that you can use to enable tracing.)
To view the TRACE messages in the memory buffer, you can use the following additional steps:
- [if not done already]
export SPACK_ROOT=<your spack root> ; source $SPACK_ROOT/setup-env.sh - [if not done already]
spack load trace -
trace_cntl showortrace_cntl show | trace_delta -ct 1(The latter displays the timestamps in human-readable format. Note that the messages are listed in reverse chronological order in both cases.)