github action docker build

.github/workflows/build-docker.yml

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+#
+name: Create and publish a Docker image
+
+# Configures this workflow to run every time a change is pushed to the branch called `release`.
+on:
+  push:
+    branches:
+          -  containers
+
+# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu.
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    # Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
+    permissions:
+      contents: read
+      packages: write
+      # 
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+      # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here.
+      - name: Log in to the Container registry
+        uses: docker/login-action@65b78e6e13532edd9afa3aa52ac7964289d1a9c1
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      # This step uses [docker/metadata-action](https://github.com/docker/metadata-action#about) to extract tags and labels that will be applied to the specified image. The `id` "meta" allows the output of this step to be referenced in a subsequent step. The `images` value provides the base name for the tags and labels.
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+      # This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
+      # It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see "[Usage](https://github.com/docker/build-push-action#usage)" in the README of the `docker/build-push-action` repository.
+      # It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
+      - name: Build and push Docker image
+        uses: docker/build-push-action@f2a1d5e99d037542a71f64918e516c093c6f3fc4
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}

ai/containers/Dockerfile

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+# Set the base image to Python 3.9.17-slim
+FROM python:3.9.17-slim AS build
+
+
+WORKDIR ai
+
+# Copy the required files to the container
+COPY env-files  env-files
+COPY src        src
+COPY tests      tests
+COPY setup.py   setup.py
+COPY README.md  README.md
+
+# Set environment variable
+ENV LC_ALL=C
+
+# Update pip and install python requirements
+RUN pip install --upgrade pip
+RUN pip install -r /ai/env-files/pytorch-env-container.txt
+RUN pip install -e /ai
+
+# Define the run command when the container starts
+CMD ["python", "-V"]
+
+# Additional information labels
+LABEL Author="azoechba"
+LABEL Version="v0.0.1"
+LABEL Description="This is the base image of the itwinai library in Docker."

ai/containers/intertwin-pod.yaml

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+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: itwinai-deployment
+  labels:
+    app: itwinai
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: itwinai
+  template:
+    metadata:
+      labels:
+        app: itwinai
+    spec:
+      containers:
+      - name: itwinai
+        image: ghcr.io/mrgweep/itwinai-test:0.0
+        #imagePullPolicy: Never
+	resources:
+	  requests:
+            memory: "100Mi"
+      	  limits:
+            memory: "200Mi"
+        ports:
+        - containerPort: 80
+
+