Petmeeter

Petmeeter is a soft clone of Petfinder, with a twist. It is a website where users can post animals that they are rehoming, search for and favorite animals matching their home's needs, and ultimately find a cute animal companion to bring into their families and hearts. 💜

Check out Petmeeter

Index

MVP Feature List | Database Scheme | User Stories | Wire Frames

Technologies Used

Splash Page

Animals Search Results

Animal Details Page

Animal Creation Form

My Animal Listings Page

My Favorites Page

My Saved Searches Page

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 provided .env.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.

Features

Animals

• Logged in users can create animals that they are putting up for adoption.
• Logged in users can edit and delete the animals that they put up for adoption.
• All users can view animals based on search criteria.

Favorites

• Logged in users can add and remove animals from their favorites list.
• Logged in users can view the animals they have favorited.

Saved Searches

• Logged in users can create, update, and delete saved searches.
• Logged in users can view their saved searches.

AWS

• Logged in users can upload multiple images of their spot to AWS S3

Future Features

Live Chat with Web Sockets

• Logged in users can chat with other users regarding potential adoptions.

Meet the Developer:

Adanna Liu

• adanna.c.liu@gmail.com
• LinkedIn
• GitHub