BLOOM

A social media platform designed to address plant owner’s need for help in caring for their plants while away for an extended period of time.

Check the deployed version: BLOOM.

Features

• Home Page: View requests for assistance and make monetary offers to help others.
• Browse: Explore users' profiles, review their requests for help, and see the plants they own.
• Create a request for help: Need someone to care for your plants? No problem! Create a help request with a start and end date, along with the amount you're willing to pay.
• Submit a offer to help: Review request details, make an offer, and send a static message with your bid.
• Live message chat: Engage with other users in real-time through live chat messaging powered by Socket.IO.
• Add Plants: Enrich your collection by adding a plant powered by an external API featuring over 3,000 plant varieties.
• Manage your requests: (1) Manage your own requests by editing or deleting, (2) manage received requests by accepting, rejecting or initiating a live chat, and (3) review requests sent to others offering help or rescind offer.
• User information: Update your personal information and enhance your profile with a photo.

Check the deployed version: BLOOM.

Bloom Frontend

Structure

This repo contains two applications:

• A frontend React App.
• A backend in flask.
• A postgress database configured on the backend.

Bloom Frontend setup

1. Clone this repository.

    git clone https://github.com/gustavoperess/bloom-frontend

2. Create a .env file under the main project directory to connect with your backend:

    echo "VITE_BACKEND_URL='http://localhost:5001'" > .env

3. Install the assocated packages and run the web app.

    cd bloom-frontend
    npm install
    npm run dev

Bloom backend setup

1. Clone the below repository.

    git clone https://github.com/gustavoperess/bloom-backend

2. Follow the below instructions:

    # Navigate to your repository
    cd bloom-backend
    # Install dependencies and set up the virtual environment
    pipenv install
    # Activate the virtual environment
    pipenv shell

3. Create a test and development database (This assumes you have postgres) .

   createdb BLOOM
   createdb BLOOM_test
   In the BLOOM_test database, run the following SQL query: "CREATE USER postgres WITH SUPERUSER PASSWORD 'postgres';"

4. Seed the development database (ensure you have run pipenv shell first) .

   python seed_dev_database.py

5. create .env file in main directory.

   echo "JWT_SECRET_KEY='super-secret-key'" > .env

6. Run the tests (with extra logging).

   pytest -sv

7. Run the server.

   python app.py