pyflakes warns about various errors, addressed here. For cls_cluster.py,
remove (unknown) sys.exit and replace through Exception, as sys.exit()
has the unwanted effect that the CI script would stop. Instead, raise
an Exception that would show the problem in the HTML, and ensures that
the script runs until the end.
These are the warnings flagged by pyflakes.
cls_cluster.py:297:4: undefined name 'sys'
cls_containerize.py:39:1: 'subprocess' imported but unused
cls_containerize.py:41:1: 'threading' imported but unused
cls_containerize.py:43:1: 'multiprocessing.Process' imported but unused
cls_containerize.py:43:1: 'multiprocessing.Lock' imported but unused
cls_containerize.py:43:1: 'multiprocessing.SimpleQueue' imported but unused
cls_containerize.py:49:1: 'cls_cluster as OC' imported but unused
cls_containerize.py:50:1: redefinition of unused 'cls_cmd' from line 42
cls_module.py:28:1: 'os' imported but unused
cls_module.py:29:1: 'sys' imported but unused
cls_module.py:34:1: 'subprocess' imported but unused
cls_module.py:35:1: 'datetime.datetime' imported but unused
cls_module.py:211:11: undefined name 'sshconnection'
cls_oaicitest.py:37:1: 'pexpect' imported but unused
cls_oaicitest.py:47:1: 'cls_cluster as OC' imported but unused
cls_oaicitest.py:54:1: 'matplotlib.pyplot as plt' imported but unused
cls_oaicitest.py:55:1: 'numpy as np' imported but unused
cls_oai_html.py:34:1: 'sys' imported but unused
cls_oai_html.py:41:1: 'multiprocessing.Process' imported but unused
cls_oai_html.py:41:1: 'multiprocessing.Lock' imported but unused
cls_oai_html.py:41:1: 'multiprocessing.SimpleQueue' imported but unused
cls_physim.py:37:1: 'multiprocessing.SimpleQueue' imported but unused
cls_static_code_analysis.py:39:1: 'time' imported but unused
cls_static_code_analysis.py:40:1: 'multiprocessing.Process' imported but unused
cls_static_code_analysis.py:40:1: 'multiprocessing.Lock' imported but unused
cls_static_code_analysis.py:40:1: 'multiprocessing.SimpleQueue' imported but unused
epc.py:41:1: 'multiprocessing.Process' imported but unused
epc.py:41:1: 'multiprocessing.Lock' imported but unused
epc.py:41:1: 'multiprocessing.SimpleQueue' imported but unused
main.py:60:1: 'pexpect' imported but unused
main.py:66:1: 'datetime' imported but unused
main.py:68:1: redefinition of unused 'subprocess' from line 63
main.py:70:1: 'multiprocessing.Process' imported but unused
main.py:70:1: 'multiprocessing.Lock' imported but unused
main.py:70:1: 'multiprocessing.SimpleQueue' imported but unused
provideUniqueImageTag.py:2:1: 'os' imported but unused
This reimplements the CI deployment functions, and makes them a bit more
robust. Concretely:
- Introduce a generic "deployment tag" option that can be used to
override the tag to use for specific images. By default, it is the
current "branch-commitID[0:8]" tag name (requires the change from
function ImageTagToUse() to CreateTag(), impacting also pull/push
image functions)
- Avoid sed for image names, and use an .env file that docker-compose
picks up automatically; the deployment analyzes a potentially existing
.env file and updates instead of simply overriding. For instance, some
pipelines might use -asan images for the gNB and "normal" (non-asan)
images for UE, and a simple overwriting might make the -asan image
name tag disappear for the gNB, resulting in deployment failures).
Finally, undeployment removes the .env file, so that there are no
modifications in the repository after undeployment.
- Redo the previous behavior of autodetecting asan, and use that (the
current function always uses asan, no matter what)
- Remove deployKind/displayedNewTags globals, as they are not necessary
- Make the usedImage output in HTML slimmer
- On undeployment, print service names next to undeploy analysis, and
return success/failure.
- Make the functions generally less verbose and easier to read
Note that as of and only in this commit, deployment does not work, as
all the YAML files have not been updated to work with this updated
version. The next commit adds tests for the new deployment, and updates
one YAML file (also being used in the tests). The follow-up commit then
modifies all YAML files.
The BuildeNB steps either does things that are already implemented
(created workspace), or things that we don't use (separate build_wait),
and is generally quite convoluted when all it does is calling build_oai.
Reimplement by reusing Create_Workspace, and make build_oai in a single
step. To clean up, make a new module in which this function does not
need a class instantiation. Instead, we give all necessary parameters
directly.
Use the previous commit on returning success from each task execution
function, and implement handling of errors in the main loop. Add a
script with which this is visible using Custom_Commands.
For reasons I don't understand, the XML option reading and actual test
case execution are at different places in the code. This is problematic,
because what this led to is that options are not passed as function
arguments, but indirectly through class members. This led to a lot of
"indirect code"; it's a total mess
To improve this, move them together, so that parameters can be passed
directly as function arguments later on.
Because we reference the globals, mark them inside
ExecuteActionWithParam(). That is a Python antipattern, but necessary at
this moment. I believe that we can remove the following globals over
time:
- SSH (with new cls_cmd, which we don't need to pass)
- EPC (replaced through a class similar to ue_module, i.e., refer to
core networks on specific hosts through an ID, instead of a global)
- HTML (should use templating, where individual functions give back a
dictionary of what they want to print, and a final pass assembles the
entire HTML file)
- RAN/SCA/PHYSIM/CLUSTER/ldpc (can be replaced with stateless scripts
build/run eNB/gNB on a specific node)
Create_Workspace is used used in XML files instead of directly being
executed in DeployObject(). This can be problematic if we deploy
multiple services on the same host, since a previous workspace will be
deleted. Also, it removes futile git clones.
There are other XML steps (CppCheckAnalysis, LicenceAndFormattingCheck,
BuildImage, BuildProxy, BuildClusterImage) that implicitly called
Create_Workspace. Those calls have been removed and care has been taken
to insert the corresponding Create_Workspace steps in the XML.
- Modify CN deployment and termination functions to include namespace and path parameters.
- Update `Module_UE` class with new attributes for namespace and CN path.
- Integrate `cnID` for OC CN deployment and termination in `epc.py`.
- Extract `cn_id` from XML configurations for CN operations.
- Update XML files to include `cn_id` tag for 5G Core initialization and
termination. (Used in OAIUE and AW2S pipeline, for OC CN deployment. This change
will not affect other CN deployments.)
- Enable both nr_ulsim and nr_dlsim test with Run_T2Test
- Introduce time threshold variable for T2/CPU LDPC tests
- Set threshold individually for each test - T2 encoding/decoding and CPU encoding/decoding
- Check if encoder/decoder processing time is below the threshold
- Remove NOK return option - keep only OK (processing time below threshold) or KO (proceesing time beyond threshold)
- Rename function to run and check results of CUDA ldpctest
- Use new SSH class in function for check T2 test results, use f-strings
Laurent noticed it on one of his MR and confirmed with him:
-- Volumes have be created the 1st time they ran on avra on July 7th
-- Volumes were created with not only the raw files but also the nr-softmodem executable
Solution: two-fold:
1. using the `docker-compose down -v` syntax, the volume is deleted automatically
2. I added redundancy with the custom command to remove the used volume
Signed-off-by: Raphael Defosseux <raphael.defosseux@eurecom.fr>
Robert Schmidt