Preparing release 2.3.0

Author: ivan-khvostishkov

.gitlab-ci.yml

@@ -9,6 +9,7 @@ run_tests:
   stage: test
   resource_group: ssh-helper-tests
   script:
+    # Run tests
     - bash run_tests.sh
   coverage: '/(?i)total.*? (100(?:\.0+)?\%|[1-9]?\d(?:\.\d+)?\%)$/'
   artifacts:

README.md

@@ -5,7 +5,7 @@
 [![License](https://img.shields.io/github/license/aws-samples/sagemaker-ssh-helper.svg)](https://github.com/aws-samples/sagemaker-ssh-helper/blob/main/LICENSE)
 
 SageMaker SSH Helper is the "army-knife" library that helps you to securely connect to Amazon SageMaker training jobs, processing jobs, batch inference jobs
-and realtime inference endpoints as well as SageMaker Studio Notebooks and SageMaker Notebook Instances for fast interactive experimentation, 
+and realtime inference endpoints as well as SageMaker Studio set of IDEs and SageMaker Notebook Instances for fast interactive experimentation, 
 remote debugging, and advanced troubleshooting.
 
 Three most common tasks that motivated to create the library, sometimes referred as "SSH into SageMaker", are:

jupyterlab-lc-config.sh

@@ -37,12 +37,12 @@ else
   $PYTHON_BIN -m pip install -q sagemaker-ssh-helper
 
   # Uncomment lines below to update SageMaker SSH Helper to the latest dev version from the main branch
-  # dir="$(pwd)"
   # git clone https://github.com/aws-samples/sagemaker-ssh-helper.git /tmp/sm-ssh-src/ || echo 'Already cloned'
   # cd /tmp/sm-ssh-src/ && git pull --no-rebase && git clean -f && $PYTHON_BIN -m pip install .
-  # cd "$dir"
 fi
 
+cd /root
+
 # We assume that the kernels are is installed into the sys prefix, e.g. with ipykernel install --sys-prefix command
 SYSTEM_PYTHON_PREFIX=$($PYTHON_BIN -c "from __future__ import print_function;import sys; print(sys.prefix)")
 export JUPYTER_PATH="$SYSTEM_PYTHON_PREFIX/share/jupyter/"

sagemaker_ssh_helper/VERSION

@@ -1 +1 @@
-2.3.0.dev1
+2.3.0

sagemaker_ssh_helper/__init__.py

@@ -8,7 +8,7 @@
 sagemaker_ssh_helper.last_session_time = datetime.now()
 
 
-def setup_and_start_ssh():
+def setup_and_start_ssh():  # pragma: no cover
     if "START_SSH" not in os.environ:
         print("[sagemaker-ssh-helper] WARNING: SageMaker SSH Helper is not correctly initialized. "
               "Did you forget to call wrapper.create() _before_ fit() / run() / transform() / deploy()?")
@@ -40,7 +40,7 @@ def setup_and_start_ssh():
         print(f"[sagemaker-ssh-helper] Skipping SageMaker SSH Helper setup from {script} due to startup params")
 
 
-def is_last_session_timeout(time_delta: timedelta):
+def is_last_session_timeout(time_delta: timedelta):  # pragma: no cover
     args = ["pgrep", "-f", "ssm-session-worker"]
     try:
         out = subprocess.check_output(args)
@@ -63,7 +63,7 @@ def is_last_session_timeout(time_delta: timedelta):
     return timeout
 
 
-def is_profiler_issues_found():
+def is_profiler_issues_found():  # pragma: no cover
     from sagemaker_ssh_helper.wrapper import SSHEstimatorWrapper
     training_job_arn = os.environ.get("TRAINING_JOB_ARN")
     if not training_job_arn: