Redirecting to a file has the problem that it is difficult in the CI to
recover these files. Furthermore, at least with ninja, when running
build_oai interactively, the build output will only take some lines
(because ninja rewrites lines), so the change should not be that big to
users.
One CI function would print the entire output from build_oai to the
console. Since that output might be long now, do not do this. The file
is archived, anyway.
CI: Refactor log collection, collect also (COTS) UE logs
Refactor log handling in CI: collect according to currently used XML files. This
makes it homogeneous in the pipelines, and avoids accidental overwriting (as
happens in phytest-timing), as well as harmonizing the log placement
(e.g., no YAML lookup in Ping/Iperf).
Allow to trace and archive UE logs (e.g., Quectel via QLog, Amarisoft UE logs).
By default, no logs will be collected as of this MR, as many files are big.
Various cleanup in Jenkinsfiles, some bugfixes, add unit tests.
Sometimes the connection fails because of the reboot. Without may_fail,
it would stop the build, which will then run the wrong code, possibly.
Instead, continue; if there is a problem with USRP, it will be visible
when starting nr-softmodem.
I have to make both together, since they both depend on
AnalyzeBuildLogs().
- remove mkdir for legacy sub-logfiles in build_oai, that does not exist
anymore; also, remove corresponding log analysis, I think we don't use
it and it is overkill (either build works or not)
- manually try to copy "all.txt"
- explicitly list log files to copy, then analyze
- AnalyzeBuildLogs(): pass log files to inspect explicitly
LDPC BBDEV/AAL rework
This branch aims to generalize the existing LDPC T2 implementation to support
other DPDK BBDEV accelerators, e.g., Intel ACC100/200.
Differences from the current T2 implementation include:
1. relax CMakeLists.txt checking for custom dpdk-t2 implementation,
technically, any DPDK BBDEV should work
2. BBDEV capability checks during init
3. llr_scaling to scale the input llr accordingly for better decoding
performance on the Intel ACC100/200
4. self-managed harq buffers for the ACC200, as internal harq memory is not
available
Tested BBDEV devices:
1. Intel ACC100
2. Intel ACC200/VRB1
Set the context for each task step. Set the artifact result path based
on the XML, so it is harmonized; currently, most pipelines use the "YAML
path" of docker-compose, but that does not always make sense. For
instance, Ping/Iperf() needs to look up this path, but does not
inherently belong to one specific YAML path (there might even be more).
This class provides a generic "context" for individual tasks about the
current task step, and where to log results. It's used by
archiveArtifact() that would automatically log files in the right
directory, based on a directory in the context, and in a way that order
of files is preserved for long-running pipelines.
Note: this does not actually work. In the pipelines, we see that for
some reason, quectel-CM cannot establish a connection. Manually, it
works though(?)
It is not necessary (the final undeploys at the end are "always_exec"),
and makes the CI potentially fail since there is nothing to copy at this
point.
check for IP once before sleeping in case UE IP address exists, which
should speed up the CI. With this, Only print the actual attach command
once. Print errors only at the beginning. This should simplify attach
command output logs.
Robert Schmidt