hilderbrandtjohn / Virtual-Bookshelf

This project is a virtual bookshelf where users are able to add their books to the bookshelf, give them a rating, update the rating and search through their book lists.

bookshelf app

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This project is a virtual bookshelf where users are able to add their books to the bookshelf, give them a rating, update the rating and search through their book lists.

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Pre-requisites

• Have Python3, pip and node installed on your local machines.

• Start your virtual environment From the backend folder run

# Mac users
python3 -m venv venv
source venv/bin/activate
# Windows users
> py -3 -m venv venv
> venv\Scripts\activate

• Install dependencies
  From the backend folder run

# All required packages are included in the requirements file. 
pip3 install -r requirements.txt
# In addition, you will need to UNINSTALL the following:
pip3 uninstall flask-socketio -y

Step 1 - Create and Populate the database

1. **Create the database In your terminal, navigate to the /backend/ directory, and run the following:

# Connect to the PostgreSQL
psql postgres
#View all databases
\l
# Create the database
\i setup.sql
# Exit the PostgreSQL prompt
\q

3. Create tables
   Once your database is created, you can create tables (bookshelf) and apply contraints

# Mac users
psql -f books.psql -U student -d bookshelf
# Linux users
su - postgres bash -c "psql bookshelf < /path/to/exercise/backend/books.psql"

You can even drop the database and repopulate it, if needed, using the commands above.

Step 2: Start the backend

Start the (backend) Flask server by running the command below from the /backend/ directory.

export FLASK_APP=flaskr
export FLASK_ENV=development
flask run

Step 3: Start the frontend

(You can start the frontend even before the backend is up!) From the frontend folder, run the following commands to start the client:

npm install // only once to install dependencies
npm start 

By default, the frontend will run on localhost:3000. Close the terminal if you wish to stop the frontend server.

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Running Tests

Navigate to the /backend folder and run:

python test_flaskr.py