RangRang - Server

Steps to Replicate the Server Deployment

Open the Google Cloud Platform
To grant an IAM role as Editor VM on a project, do the following:
- In the Cloud Console, go to the IAM page
- Go to the IAM page
- Click Add
- Enter an email e.g example@gmail.com,
- Choose the Roles under the Compute Engine Role and Select 'Compute Engine Admin'
- Click Save
Go into the Cloud Console

To Provision a New Compute Instance for the Back-End Server, Run the Following Commands

gcloud beta compute --project=<YOUR PROJECT ID> instances create rangrang-backend --zone=asia-southeast2-b --machine-type=n1-standard-2 --subnet=default --address=34.101.140.95 --network-tier=PREMIUM --maintenance-policy=TERMINATE --service-account=1083353886178-compute@developer.gserviceaccount.com --scopes=https://www.googleapis.com/auth/cloud-platform --tags=http-server,https-server --image=ubuntu-2004-focal-v20210603 --image-project=ubuntu-os-cloud --boot-disk-size=10GB --boot-disk-type=pd-ssd --boot-disk-device-name=rangrang-backend --no-shielded-secure-boot --shielded-vtpm --shielded-integrity-monitoring --reservation-affinity=any

gcloud compute --project=<YOUR PROJECT ID> firewall-rules create default-allow-http --direction=INGRESS --priority=1000 --network=default --action=ALLOW --rules=tcp:80 --source-ranges=0.0.0.0/0 --target-tags=http-server

gcloud compute --project=<YOUR PROJECT ID> firewall-rules create default-allow-https --direction=INGRESS --priority=1000 --network=default --action=ALLOW --rules=tcp:443 --source-ranges=0.0.0.0/0 --target-tags=https-server

SSH into the Server either by GUI, or through the Command Line Interface
Update Packages on the Ubuntu VM by Running the Following Commands
```
sudo apt update && sudo apt upgrade -y
```

Setup Machine Learning Dependencies with the Following Commands

Clone models repository from tensorflow

git clone https://github.com/tensorflow/models.git

Install tensorflow object detection API

cd models/research
protoc object_detection/protos/*.proto --python_out=.
cp object_detection/packages/tf2/setup.py .
sudo pip3 install --use-feature=2020-resolver .

Clone This Repository by Running the Following Command

git clone https://github.com/Hyuto/rangrang-server.git
cd rangrang-server

Install Django, djangorestframework and whitenoise

sudo pip3 install django djangorestframework whitenoise

Setup django application

Setup main directory
```
mkdir static files
```
Migrate db
```
python3 manage.py migrate
```
Collectstatic
```
python3 manage.py collectstatic
```

Exit the SSH Session by Running:
```
exit
```
Turn off the VM Instance for the Back End Server by

Clicking on the Checkbox of the VM that is Going to be Turned Off
On the Top Panel, Click Stop

Click on the Back End Server VM then Click on the Edit Button.

Navigate to the Custom metadata Section, and add the Following:
Key: startup-script
Value:

#! /bin/bash
sudo service apache2 stop
cd /home/rangrang-server
sudo nohup python3 manage.py runserver 0.0.0.0:80 >> log.log 2>&1 | tee &

Save the Changes
Turn on the VM Instance to Start the Back End Server Service

Navigate to the External IP Address to Check Its Availability by Going to these Paths:

http://<EXTERNAL-IP-ADDRESS>/cd-api/video/
http://<EXTERNAL-IP-ADDRESS>/cd-api/picture/
http://<EXTERNAL-IP-ADDRESS>/od-api/video/
http://<EXTERNAL-IP-ADDRESS>/od-api/picture/

Once all the Paths are Working, the Server is Considered Fully Functioning and Ready to Use

Navigation

	Repository
Android	grrrracia/RangRang-MobileApp
Cloud Computing	Hyuto/rangrang-server
Machine Learning	Hyuto/rangrang-ML