Merge branch 'main' into feature/#150-Use_multipart_upload_for_VM_ima…

…ges_on_AWS

.github/workflows/check_documentation_links.yaml

@@ -0,0 +1,23 @@
+name: Check Documentation Links
+
+on:
+  push:
+    branches-ignore:
+      - "main"
+
+jobs:
+  check_documentation_links:
+    runs-on: ubuntu-latest
+
+    steps:
+     - uses: actions/checkout@v3
+       with:
+         fetch-depth: 0
+
+     - name: Link Checker
+       id: lychee
+       uses: lycheeverse/[email protected]
+       with:
+         fail: true
+         args: --verbose --no-progress 'doc/**/*.md' 'README.md'
+

.github/workflows/check_notebook_links.yaml

@@ -0,0 +1,22 @@
+name: Check Notebook Links
+
+on:
+  push:
+    branches-ignore:
+      - "main"
+
+jobs:
+  check_notebook_links:
+    runs-on: ubuntu-latest
+
+    steps:
+     - uses: actions/checkout@v3
+       with:
+         fetch-depth: 0
+     - name: Setup Python & Poetry Environment
+       uses: ./.github/actions/prepare_poetry_env
+
+     - name: Run build ai-lab tests
+       run: >
+         poetry run pytest --check-links exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/
+

doc/changes/changes_0.1.0.md

@@ -35,6 +35,8 @@ Version: 0.1.0
 * #150: Used multipart upload for VM images
 * #145: Added Docker Test Library to prepare Notebook tests
 * #151: Setup SageMaker Credentials for notebook testing in the CI
+* #155: Added a Notebook Link Checker to Github Actions
+* #157: Added link checker for the documentation
 
 ## Bug Fixes
 

doc/developer_guide/notebooks.md

@@ -7,12 +7,12 @@ Please add or update the notebook files in folder [exasol/ds/sandbox/runtime/ans
 ## Notebook Testing
 
 We are running tests for the notebooks in the Docker Edition of the AI Lab. For this we are creating a Docker test setup in 
-[test_notebooks_in_dss_docker_image.py](test/integration/test_notebooks_in_dss_docker_image.py) which installs test libraries into the AI Lab Docker Image.
-It further creates a new test and Docker Container for each notebook test in [test/notebooks](test/notebooks). 
+[test_notebooks_in_dss_docker_image.py](../../test/notebook_test_runner/test_notebooks_in_dss_docker_image.py) which installs test libraries into the AI Lab Docker Image.
+It further creates a new test and Docker Container for each notebook test in [test/notebooks](../../test/notebooks). 
 Notebook test names need to fit the pattern `nbtest_*.py`, to prevent pytest running them outside of Docker setup.
 
 Environment variables with the prefix `NBTEST_` with which you call
-[test_notebooks_in_dss_docker_image.py](test/integration/test_notebooks_in_dss_docker_image.py) are forwarded 
+[test_notebooks_in_dss_docker_image.py](../../test/notebook_test_runner/test_notebooks_in_dss_docker_image.py) are forwarded 
 into the Docker container and to the notebook test. You can use this to forward secrets to the notebook tests.
 
 By default all created containers and images are removed after running the tests regardless of success or failure.

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/sagemaker/sme_deploy_model.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Model deployment\n",
     "\n",
-    "In this notebook, we will deploy the binary classification model created in the [previous notebook](train_model.ipynb) to a real-time AWS SageMaker endpoint. We will then use the model to make predictions on a test dataset. Please refer to the SageMaker Extension <a href=\"https://github.com/exasol/sagemaker-extension/blob/main/doc/user_guide/user_guide.md#prediction-on-aws-sagemaker-endpoint\" target=\"_blank\" rel=\"noopener\">User Guide</a> for a detailed description of this process.\n",
+    "In this notebook, we will deploy the binary classification model created in the [previous notebook](sme_train_model.ipynb) to a real-time AWS SageMaker endpoint. We will then use the model to make predictions on a test dataset. Please refer to the SageMaker Extension <a href=\"https://github.com/exasol/sagemaker-extension/blob/main/doc/user_guide/user_guide.md#prediction-on-aws-sagemaker-endpoint\" target=\"_blank\" rel=\"noopener\">User Guide</a> for a detailed description of this process.\n",
     "\n",
     "<b>Important! Please make sure you perform the last step - deletion of the endpoint. Leaving the endpoint in the cloud will incur continuous charges by AWS.</b>\n",
     "\n",

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/sagemaker/sme_introduction.ipynb

@@ -38,7 +38,7 @@
    "metadata": {},
    "source": [
     "The extension requires a number of initialization steps.\n",
-    "Please proceed to the [extension initialization](sme_int.ipynb) notebook."
+    "Please proceed to the [extension initialization](sme_init.ipynb) notebook."
    ]
   },
   {