Notes on implementation, requirements and running the app

This application uses the following technologies:

• Python3.8 version
• Flask REST framework
• SQLAlchemy and SQLite3 for db solution
• Redis for caching

Rationale for using these technologies are that Flask-RESTful is the standard and a requirement of the task. SQLAlchemy allows you to swap out db implementations easily. SQLite is simple db solution but better than using in-memory store. And Redis is the latest caching option of choice for modern apps.

Basic structure was inspired from here:

https://www.udemy.com/course/rest-api-flask-and-python/

• Python 3.8
• Redis 5.8

Installing dependencies:

pip install -r requirements.txt

Run redis server:

[__dir__]/Redis/redis-server.exe

'localhost', 6379

Run app:

[__dir__]/git-projects/flask-app

python app.py

(creates data.db) in your root directory

URI:

http://127.0.0.1:5000/

Resources

(Dog, '/dog/<string:name>')
(DogList, '/dogs')

Implemented:

• Create - new dog with id, name, breed and age
• Read - return list of dogs and get individual dog by name (not id)
• Update - existing dog or create new one if not found
• Delete - remove a given individual dog
• Datastore - SQLite db

Implemented:

• Simple validation using reqparse

Implemented:

• Simple caching using Redis

Not Implemented:

• No (bonus) config
• No unit tests