ERROR: Invalid requirement: 'swarmlearning==client': Expected end or semicolon (after name and no valid version specifier)

[PNg-HA]

Issue description

• issue description: During running mnist example, I meet the error in all SWOP containers, after the command " Step 5/5 : RUN pip3 install /tmp/hpe-swarmcli-pkg/swarmlearning-client-py3-none-manylinux_2_24_x86_64.whl"

• occurrence - consistent or rare: consistent

• error messages: "ERROR: Invalid requirement: 'swarmlearning==client': Expected end or semicolon (after name and no valid version specifier)"

• commands used for starting containers:

SN1: ./scripts/bin/run-sn -d --rm --name=sn1
--network=host-1-net --host-ip=${HOST_1_IP}
--sentinel --sn-p2p-port=${SN_P2P_PORT}
--sn-api-port=${SN_API_PORT}
--key=workspace/mnist/cert/sn-1-key.pem
--cert=workspace/mnist/cert/sn-1-cert.pem
--capath=workspace/mnist/cert/ca/capath
--apls-ip=${APLS_IP}

SN2: ./scripts/bin/run-sn -d --rm --name=sn2
--network=host-2-net --host-ip=${HOST_2_IP}
--sentinel-ip=${SN_1_IP} --sn-p2p-port=${SN_P2P_PORT}
--sn-api-port=${SN_API_PORT} --key=workspace/mnist/cert/sn-2-key.pem
--cert=workspace/mnist/cert/sn-2-cert.pem
--capath=workspace/mnist/cert/ca/capath
--apls-ip=${APLS_IP}

SWOP1: ./scripts/bin/run-swop -d --name=swop1 --network=host-1-net
--sn-ip=${SN_1_IP} --sn-api-port=${SN_API_PORT}
--usr-dir=workspace/mnist/swop --profile-file-name=swop1_profile.yaml
--key=workspace/mnist/cert/swop-1-key.pem
--cert=workspace/mnist/cert/swop-1-cert.pem
--capath=workspace/mnist/cert/ca/capath -e SWOP_KEEP_CONTAINERS=True -e http_proxy= -e https_proxy=
--apls-ip=${APLS_IP}

SWOP2: ./scripts/bin/run-swop -d --name=swop2 --network=host-2-net
--sn-ip=${SN_2_IP} --sn-api-port=${SN_API_PORT}
--usr-dir=workspace/mnist/swop --profile-file-name=swop2_profile.yaml
--key=workspace/mnist/cert/swop-2-key.pem
--cert=workspace/mnist/cert/swop-2-cert.pem
--capath=workspace/mnist/cert/ca/capath -e SWOP_KEEP_CONTAINERS=True -e http_proxy= -e https_proxy=
--apls-ip=${APLS_IP}
SWCI:
./scripts/bin/run-swci --name=swci1 --network=host-1-net
--usr-dir=workspace/mnist/swci --init-script-name=swci-init
--key=workspace/mnist/cert/swci-1-key.pem
--cert=workspace/mnist/cert/swci-1-cert.pem
--capath=workspace/mnist/cert/ca/capath
-e http_proxy= -e https_proxy= --apls-ip=${APLS_IP}
-e SWCI_RUN_TASK_MAX_WAIT_TIME=960

Swarm Learning Version: 2.2

• Find the docker tag of the Swarm images ( $ docker images | grep hub.myenterpriselicense.hpe.com/hpe_eval/swarm-learning )

OS and ML Platform

• details of host OS: Ubuntu server 22.04.02 LTS
• details of ML platform used: Keras (Tensorflow)
• details of Swarm learning Cluster (Number of machines, SL nodes, SN nodes): 2 machine (1 SL, 1 SN per machine)

Quick Checklist: Respond [Yes/No]

• APLS server web GUI shows available Licenses? Yes
• If Multiple systems are used, can each system access every other system?
• Is Password-less SSH configuration setup for all the systems? No
• If GPU or other protected resources are used, does the account have sufficient privileges to access and use them?
• Is the user id a member of the docker group? Yes

Additional notes

• Are you running documented example without any modification? Yes
• Add any additional information about use case or any notes which supports for issue investigation:

NOTE: Create an archive with supporting artifacts and attach to issue, whenever applicable.

sn2.txt
sn1.txt
swop2.txt
swop1.txt
swci.txt

[FrancescaFrattini]

Getting same error with the CIFAR10 example when I run those commands
cp -L lib/swarmlearning-client-py3-none-manylinux_2_24_x86_64.whl workspace/cifar10/ml-context/ docker build -t user-ml-env-tf2.7.0 workspace/cifar10/ml-context

[PNg-HA]

I have searched the message error in google and found the same message error in posit-dev/rsconnect-python#605. If this is true, I think the real issue lines in the line "RUN pip3 install --upgrade pip" in the user_env_tf_build_task.yaml that will update to the latest pip version, which is the version results in the wheel error.
I will try to upgrade to the suitable pip version and inform the results later.

[PNg-HA]

It works. The suitable pip version I use is 24.0. Here is the suitable user_env_tf_build_task.yaml.
user_env_tf_build_task.txt