PyCharm setup for AWS automatic deployment

In this post we will learn steps to perform PyCharm setup for AWS automatic deployment.
N.B: This is only possible with PyCharm Professional Edition
Download link

Launch an AWS (ubuntu) instance

• Go to services then EC2 under Compute
  

• Then click on Launch Instance
  

• select the Ubuntu Image for the Instance.
  

Generate key pairs for authentication (instance)

• Create a new key pair and provide a name for it.
  Should click on download and save it to a accessible location else the pycharm_aws_tut.pem file won't be available later to download.
  

• Click Launch Instances and then view instances.
  Soon the instance would be launch and update from pending status to running status and you may provide a name (anything under 255 characters) like pycharm_aws

Assign security group policies for accessing instance via command line or PyCharm.

• Click on Security Groups under Network & Security then Create Security Group
  
• Fill in the form for security group and from Actions click on Edit inbound rules to give SSH and HTTP.
  N.B: Port is the value on which you wish to access your web app.
  

SSH to the EC2 instance using below command.

• Make note of the Public DNS of that instance and the user_name, by default the username is ubuntu for ubuntu instances.

sample: ssh -i /path_to_key/my_key.pem user_name@public_dns_name
Update file permissions: chmod 400 pycharm_aws_tut.pem.
Then execute: ssh -i pycharm_aws_tut.pem ubuntu@ec2-18-218-197-98.us-east-2.compute.amazonaws.com

N.B: Make sure your current directory has pycharm_aws_tut.pem file.

Congratulations you are connected your AWS EC2 Ubuntu Instance via Command line.

Create Flask app on my local system.

• Create a file named as my_aws_script.py (this is your flask script)
  

• Add below lines of code.

from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello():
    return "Hello World 1"
@app.route('/index')
def index():
    return "Hey This is an index page"
if __name__ == "__main__":
 	app.run(host="0.0.0.0", port=80)

PyCharm settings to use remote python interpreter.

• Go to File -> Settings -> Project Interpreter and add a new interpreter.
  

• Click on + to add a new python interpreter and then click on SSH interpreter
  

• Provide Public DNS in HOST and ubuntu as username
  

• Click Next and add the pycharm_aws_tut.pem file.
  

• Update python interpreter by passing the path of python on your ubuntu instance machine.

• You may get this by running which python3 on command line of instance
  

• Sync Folders
  

• Click Ok and again Ok.

Automatically deploy flask app on remote.

• Now click on Tools -> Deployment -> Configuration
  fill in the form as per the screenshot and then click Test SFTP Connection
  

Mapping between local directory and remote directory.

• check Mapping tab and make local path and remote path are the ones you wish to Sync & click ok.
• Now, go to Tools -> Deployment -> Automatic and click to enable Automatic Deployment.
• Soon background task would start running and sync the two locations.
  

Run the app on remote.

Execute below commands on the remote machine.

• sudo apt-get udpate on remote machine.
• sudo apt-get install python3-pip
• pip3 install flask
  Check by executing pip3 freeze if flask is installed.
  Then run the flask application.
• sudo python3 my_aws_script.py
  

Access the app via browser.

• Copy and paste the Public DNS of the instance in the browser.
  

• Access /index
  

References:

1. Dev Endpoint Tutorial Pycharm
2. Connect AWS EC2 instance with Pycharm