fix: merged main into branch handle-nan-model-quality

.github/workflows/api-workflow.yaml

@@ -50,11 +50,12 @@ jobs:
     if: github.event_name != 'pull_request'
     uses: radicalbit/radicalbit-github-workflows/.github/workflows/docker.yaml@v1
     with:
-      push: ${{ github.event_name != 'pull_request' }}
+      push: ${{ startsWith(github.ref, 'refs/tags/v') }}
       context: ./api
       image: radicalbit-ai-monitoring-api
-      tag: ${{ startsWith(github.ref, 'refs/tags/v') && github.ref_name || 'latest' }}
+      tag: github.ref_name
       dockerhub_shortdesc: "Radicalbit AI Monitoring - backend API"
+      dockerhub_push_latest: true
     secrets:
       USERNAME: ${{ secrets.DOCKER_HUB_USER }}
       PASSWORD: ${{ secrets.DOCKER_HUB_PAT }}

.github/workflows/migrations-workflow.yaml

@@ -66,12 +66,13 @@ jobs:
     if: github.event_name != 'pull_request'
     uses: radicalbit/radicalbit-github-workflows/.github/workflows/docker.yaml@v1
     with:
-      push: ${{ github.event_name != 'pull_request' }}
+      push: ${{ startsWith(github.ref, 'refs/tags/v') }}
       context: ./api
       dockerfile: migrations.Dockerfile
       image: radicalbit-ai-monitoring-migrations
-      tag: ${{ startsWith(github.ref, 'refs/tags/v') && github.ref_name || 'latest' }}
+      tag: github.ref_name
       dockerhub_shortdesc: "Radicalbit AI Monitoring - database migrations"
+      dockerhub_push_latest: true
     secrets:
       USERNAME: ${{ secrets.DOCKER_HUB_USER }}
       PASSWORD: ${{ secrets.DOCKER_HUB_PAT }}

.github/workflows/spark-workflow.yaml

@@ -51,11 +51,12 @@ jobs:
     if: github.event_name != 'pull_request'
     uses: radicalbit/radicalbit-github-workflows/.github/workflows/docker.yaml@v1
     with:
-      push: ${{ github.event_name != 'pull_request' }}
+      push: ${{ startsWith(github.ref, 'refs/tags/v') }}
       context: ./spark
       image: radicalbit-spark-py
-      tag: ${{ startsWith(github.ref, 'refs/tags/v') && github.ref_name || 'latest' }}
+      tag: github.ref_name
       dockerhub_shortdesc: "Radicalbit AI Monitoring - Apache Spark jobs"
+      dockerhub_push_latest: true
     secrets:
       USERNAME: ${{ secrets.DOCKER_HUB_USER }}
       PASSWORD: ${{ secrets.DOCKER_HUB_PAT }}

.github/workflows/ui-workflow.yaml

@@ -19,11 +19,12 @@ jobs:
     if: github.event_name != 'pull_request'
     uses: radicalbit/radicalbit-github-workflows/.github/workflows/docker.yaml@v1
     with:
-      push: ${{ github.event_name != 'pull_request' }}
+      push: ${{ startsWith(github.ref, 'refs/tags/v') }}
       context: ./ui
       image: radicalbit-ai-monitoring-ui
-      tag: ${{ startsWith(github.ref, 'refs/tags/v') && github.ref_name || 'latest' }}
+      tag: github.ref_name
       dockerhub_shortdesc: "Radicalbit AI Monitoring - frontend UI"
+      dockerhub_push_latest: true
     secrets:
       USERNAME: ${{ secrets.DOCKER_HUB_USER }}
       PASSWORD: ${{ secrets.DOCKER_HUB_PAT }}

docs/quickstarts/README.md

@@ -0,0 +1,23 @@
+# Radicalbit Platform Python SDK Examples
+
+Here will be available some tutorials to start to play with the Radicalbit Platform through the Python SDK.
+
+### How to set up ###
+
+The project is based on poetry for managing dependencies.
+
+You should have poetry installed on your local machine. You can follow the instruction on https://python-poetry.org.
+
+After you have poetry installed you can install the project's dependencies run:
+
+```bash
+poetry install
+```
+
+### Tutorials ###
+
+| Task                  | Tutorial Name                                     | Dataset to use                                                                                  | Description                                                                                                               |
+|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------|
+| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv,  data/binary_classification/current1-income.csv| In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |
+
+