pjsingh22 / zesty

Etsy clone for capstone project

Flask React Project

This is the starter for the Flask React project.

Tools Used

Index

Listing

Favorites

Cart

My Thoughts

working on this capstone project was pretty fun. It seemed daunting at first with all the features and coming up with how to implement them. Slowly it came along and I had a lot of fun tackling all the problems that came about. Working with Flask for the back end was really nice since Flask makes creating routes and serving assets really easy. Once I got the hang of redux then creating stores and manipulating what is returned was pretty easy. The styling of the application was cool since I got to play around with many different CSS properties that I didn't have much experience with before. Overall I liked that I also went above and beyond and added extra features such as search functionality and liking listings to save to your favorites page.

Endpoints

Request	Purpose	Return Value
GET /api/auth/	Fetches the current logged in user or returns null	{ id: int, username: STRING, email: STRING }
POST /api/auth/login	Logs in user	{ id: int, username: STRING, email: STRING }
GET /api/auth/logout	Logsout user	{'message': 'User logged out'}
POST /api/auth/signup	Signs up user	{ id: int, username: STRING, email: STRING }
GET /api/likes/	get likes of a post	{ user_id: INT, listing_id: INT, totalReviews: INT, avgReviews: INT, owner: user obj, images: ARRAY }
POST /api/likes/listing/:id	add like to listing	{ "message": "listing added to likes" }
DELETE /api/likes/listing/:id	remove like from listing	{ "message": "listing removed from likes" }
GET /api/listings	get all listings	{ id: INT, name: STRING, userId: INT, price: INT, category: STRING, description: STRING, totalReviews: INT, avgRating: INT, owner: user, images: ARRAY }
GET /api/listings/search	get listings that match query	{ id: INT, name: STRING, userId: INT, price: INT, category: STRING, description: STRING, totalReviews: INT, avgRating: INT, owner: user, images: ARRAY }
POST /api/listings/new	create a new listing	{ id: INT, name: STRING, userId: INT, price: INT, category: STRING, description: STRING, totalReviews: INT, avgRating: INT, owner: user, images: ARRAY }
GET /api/listings/:id	get listing	{ id: INT, name: STRING, userId: INT, price: INT, category: STRING, description: STRING, totalReviews: INT, avgRating: INT, owner: user, images: ARRAY }
PUT /api/listings/:id	update listing	{ id: INT, name: STRING, userId: INT, price: INT, category: STRING, description: STRING, totalReviews: INT, avgRating: INT, owner: user, images: ARRAY }
DELETE /api/listings/:id	delete a listing	{"message": "Listing successfully deleted"}
POST /api/reviews/:id	create a review for a listing	{ context: STRING, rating: INT, user_id: INT, listing_id: INT }
PUT /api/reviews/:id	update a review	{ context: STRING, rating: INT, user_id: INT, listing_id: INT }
DELETE /api/reviews/:id	delete a review	{ "message": "Review succesfully deleted" }

Getting started

1. Clone this repository (only this branch)

2. Install dependencies

   pipenv install -r requirements.txt

3. Create a .env file based on the example with proper settings for your development environment

4. Make sure the SQLite3 database connection URL is in the .env file

5. This starter organizes all tables inside the flask_schema schema, defined by the SCHEMA environment variable. Replace the value for SCHEMA with a unique name, making sure you use the snake_case convention.

6. Get into your pipenv, migrate your database, seed your database, and run your Flask app

   pipenv shell

   flask db upgrade

   flask seed all

   flask run

7. To run the React App in development, checkout the README inside the react-app directory.