Version bump to 2.2.1.dev0

Author: ivan-khvostishkov

.gitlab-ci.yml

@@ -20,6 +20,7 @@ run_tests:
         path: tests/coverage.xml
     paths:
       - dist/
+      - .pypirc
       - src_diff/
       - pip_freeze/
       - tests/pytest_report.xml

FAQ.md

@@ -575,7 +575,7 @@ Yes, of course, you can use SSH Helper inside [Deep Learning Containers for LMI]
 
 Below are the generic tips to start with:
 
-* **Important:** Make sure you read the "Getting started" section and didn't skip the steps from [Setting up your AWS account with IAM and SSM configuration](IAM_SSM_Setup.md).
+* **Important:** Make sure you fully read and understood the "Getting started" section and didn't skip the steps from [Setting up your AWS account with IAM and SSM configuration](IAM_SSM_Setup.md).
 
 * Check that the managed instance in AWS Console in Systems Manager -> Fleet Manager section appears as "Online". Check that you're able to connect to the node from the Console by selecting Node actions -> Start terminal session. 
 

README.md

@@ -41,6 +41,8 @@ in [Setting up your AWS account with IAM and SSM configuration](IAM_SSM_Setup.md
 > as appropriate for production grade use based on your specific business requirements, including any quality control 
 practices and standards.
 
+Also make sure that the documentation you are reading corresponds the version you are installing. The best way to do that is to access the repository from the [Releases](https://github.com/aws-samples/sagemaker-ssh-helper/releases) page. In this case the URL in the address bar should look like [sagemaker-ssh-helper/tree/vX.Y.Z](https://github.com/aws-samples/sagemaker-ssh-helper/tree/vX.Y.Z).
+
 
 ## Use Cases
 SageMaker SSH Helper supports a variety of use cases:
@@ -70,7 +72,7 @@ If you want to add a new use case or a feature, see [CONTRIBUTING](CONTRIBUTING.
 > **Note**: This demo is recorded with a previous version of SSH Helper and may be not up-to-date with the recent features. Check the below documentation for the most up-to-date steps.
 
 ### Step 1: Install the library
-Before starting the whole procedure, check that both `pip` and `python` commands point to Python version 3.7 or higher with `python --version` command. 
+Before starting the whole procedure, check that both `pip` and `python` commands point to Python version 3.8 or higher with `python --version` command. Check all supported Python versions [in the PyPI repo](https://pypi.org/project/sagemaker-ssh-helper/) under "Programming Language" list.
 
 > **Important:** Make sure you read the "Getting started" section and didn't skip the steps from [Setting up your AWS account with IAM and SSM configuration](IAM_SSM_Setup.md).
 

sagemaker_ssh_helper/VERSION

@@ -1 +1 @@
-2.2.0
+2.2.1.dev0

setup.py

@@ -70,13 +70,14 @@ def read_version():
     version=read_version(),
     author="Amazon Web Services",
     description="A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)",
-    long_description="SageMaker SSH Helper is a library that allows you to \"SSH into SageMaker\", "
-                     "i.e., securely connect to Amazon SageMaker training jobs, processing jobs, "
-                     "and realtime inference endpoints as well as SageMaker Studio notebook containers "
-                     "for fast interactive experimentation, remote debugging, and advanced troubleshooting."
-                     "\n\n"
-                     "For the documentation, see the repo [https://github.com/aws-samples/sagemaker-ssh-helper/]"
-                     "(https://github.com/aws-samples/sagemaker-ssh-helper/).",
+    long_description=
+    "SageMaker SSH Helper is a library that allows you to \"SSH into SageMaker\", "
+    "i.e., securely connect to Amazon SageMaker training jobs, processing jobs, "
+    "and realtime inference endpoints as well as SageMaker Studio notebook containers "
+    "for fast interactive experimentation, remote debugging, and advanced troubleshooting."
+    "\n\n"
+    f"For the documentation, see the repo [https://github.com/aws-samples/sagemaker-ssh-helper/tree/{read_version()}]"
+    f"(https://github.com/aws-samples/sagemaker-ssh-helper/tree/{read_version()}).",
     long_description_content_type='text/markdown',
     url='https://github.com/aws-samples/sagemaker-ssh-helper',
     packages=setuptools.find_packages(),
@@ -108,7 +109,7 @@ def read_version():
             "sm-ssh-deregister-instances=sagemaker_ssh_helper.deregister_old_instances_from_ssm:main"
         ]
     },
-    python_requires=">=3.7",
+    python_requires=">=3.8",
     install_requires=required_packages,
     extras_require=extras,
     classifiers=[
@@ -118,12 +119,11 @@ def read_version():
         "License :: OSI Approved :: MIT No Attribution License (MIT-0)",
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
         "Programming Language :: Python :: 3.11",
-        # "Programming Language :: Python :: 3.12",  # TODO: doesn't work on Windows, SageMaker Python SDK supports 3.10
-        # "Programming Language :: Python :: 3.13",  # TODO: not tested yet, test with tox
+        # "Programming Language :: Python :: 3.12",  # TODO: SageMaker Python SDK doesn't support it yet
+        # "Programming Language :: Python :: 3.13",  # TODO: not tested, test with tox
     ]
 )