enabling github actions

.github/workflows/deploy.yml

@@ -0,0 +1,59 @@
+name: alhazenlabs-ec2-deployment
+
+on:
+  push:
+    branches: [main]
+
+jobs:
+  start:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: AWS SSM Send-Command
+        uses: peterkimzz/aws-ssm-send-command@master
+        id: ssm
+        with:
+          aws-region: ${{ secrets.AWS_REGION }}
+          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          instance-ids: ${{ secrets.INSTANCE_ID }}
+
+          working-directory: /home/ubuntu/deployment
+          command: /bin/sh ./deploy.sh
+
+      # Catch SSM outputs
+      # - name: Get the outputs
+      #   run: echo "The Command id is ${{ steps.ssm.outputs.command-id }}"
+
+## Setting up your Domain
+
+# So far, users can access the site using the Elastic IP. However, it can be difficult to remember and share so we will configure a custom domain name.
+
+# To get started, you need to first purchase a domain. This can range from $10 to $1,000+s. Amazon has a service called Route53 you can use or you can choose other providers such as [Google Domains](https://domains.google/), [GoDaddy](https://www.godaddy.com/), etc. (we used Google for AlgoAcademy which was $10/year).
+
+# There are two steps you would need to configure to connect the project with a custom domain:
+
+#   - Create domain records with DNS registrar
+#   - Configure NGINX on the EC2 instance to recognize the domain
+
+# 	  ---
+
+# ### _Creating Domain records_
+
+# Let's start with configuring our DNS with records:
+
+#   - Go to the **DNS** portion of your registrar.
+#   - Find where you can create custom resource records.
+
+# 	  Set the records like so:
+
+# 	  | Name | Type  | TTL | Data                    |
+# 	  | ---- | :---: | :-: | ----------------------: |
+# 	  | @    | A     | 1h  | YOUR-ELASTIC-IP-ADDRESS |
+# 	  | www  | CNAME | 1h  | your-awesome-site.com   |
+
+# ### _Configuring our Web Server_
+
+# Edit the NGINX config file inside your EC2 instance:

Dockerfile

@@ -0,0 +1,12 @@
+FROM python:3.8.16-slim-bullseye
+
+ENV API_USER=test API_PASSWORD=test ECWID_PRIVATE_TOKEN=test \
+    STORE_ID=123 PICKUP_LOCATION_ID=12324 ID_FIRST_VALUE=1 \
+    [email protected] SENDER_PASSWORD=test
+
+COPY requirements.txt requirements.txt
+RUN pip install -r requirements.txt --no-cache-dir
+
+COPY . .
+EXPOSE 8081
+ENTRYPOINT [ "python", "app.py" ]

app.py

@@ -15,4 +15,4 @@
     # Here the app.app is the flask app which can be used to add flask app
     register_flask_blueprint(app.app, False)
 
-    app.run(port=8081, debug=True)
+    app.run(port=8081)

deploy.sh

@@ -0,0 +1,20 @@
+DOCKER_APT_PACKAGE="docker.io"
+IMAGE_NAME="docker.io/alhazenlabs/deployment:v1"
+CONTAINER_NAME="alhazenlabs-deployment"
+PORT="8081"
+
+if [ $(dpkg-query -W -f='${Status}' $DOCKER_APT_PACKAGE 2>/dev/null | grep -c "ok installed") -eq 0 ];
+then
+    echo "Installation of docker wasn't found installing docker..."
+    sudo apt-get update
+    sudo apt install $DOCKER_APT_PACKAGE
+    sudo groupadd docker
+    sudo usermod -aG docker $USER
+else
+    echo "Installation of docker found skipping installation"
+fi
+
+echo "stopping the existing container: $CONTAINER_NAME"
+docker stop $CONTAINER_NAME
+echo "starting a new container: $CONTAINER_NAME"
+docker run --name $CONTAINER_NAME -p 80:8081 -p 443:8081 -d $IMAGE_NAME

requirements.txt

@@ -1,3 +1,5 @@
+# Python 3.8.10
+
 APScheduler==3.0.0
 asgiref==3.7.2
 attrs==23.1.0