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Heroku Deployment

1. Create an app on Heroku
2. Create a free Postgres Heroku instance.
3. Set a new git remote to your Heroku git link
4. Copy your Heroku git link from Heroku's website
5. Go back to the root of your project directory and type

git remote add production <your heroku git link>

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Django ORM

(https://gist.github.com/seanbehan/168a277a5a23086e76000a59e54fb3d5)

Integration into flask

1. Create manage.py and settings.py in the root directory. Then install the dependencies in your environment.

   pip install flask django dj-database-url psycopg2
   

   # manage.py

import os

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Upload files to AWS

Make sure you already have S3 bucket, access key and secret key before go through this notes.

How to connect to AWS?

Boto3 allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2.

Step 1: Install boto3 with pip

pip install boto3

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Flask Blueprint

Documentation: https://flask.palletsprojects.com/en/1.0.x/blueprints/

A Blueprint object works similarly to a Flask application object, but it is not actually an application. Rather it is a blueprint of how to construct or extend an application.

Defining a Blueprint

# instagram_web/blueprints/users/views.py

from flask import Blueprint

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How to use Flask-Login in Flask?

1. Make sure you have SECRET_KEY in your .env file
   • Flask-Login uses sessions for authentication, secret key is used to encrypting the cookies in session, the user could look at the contents of cookie but not modify it, unless they know the secret key used for signing.
2. Initializing Flask-Login in your app.py or __init__.py
   • A user loader tells Flask-Login how to get a specific user object from the ID that is stored in the session cookie

     from flask_login import LoginManager
     from models.user import User

login_manager = LoginManager()