Skip to content

Latest commit

 

History

History
118 lines (73 loc) · 2.9 KB

README.md

File metadata and controls

118 lines (73 loc) · 2.9 KB

Recipe Finder - Find your next recipe based on the ingredients you have available!

Application for finding recipes, based on your selection of ingredients.

Application screenshot

The application is deployed using Vercel.

Urls to application

Running the app

Requirements

  • Docker and Docker compose
  • Python 3.11
  • Node

First, you must create 3 environment variable files inside the backend folder:

  • .env
  • local.env
  • local.docker.env

use the .env.template file as a template.

To start the backend and frontend, run the command

docker-compose up --build

Now, the frontend application is available at http://localhost:5173/ and the backend application is available at http://localhost:5000

Running debugging and tests for the API

For this to work, you first need to create a new Python virtual environment with the name .venv inside the backend folder:

cd backend
python -m venv .venv
source .venv/bin/activate

To run the API debugger, you have to

  1. Stop the docker-compose service (docker-compose down).
  2. Open the docker-compose.yaml file and comment out the backend service.
  3. Start docker compose again to start the database.
  4. Open up VS code, and open the "Run and debug" window.
  5. In drop down menu, select "Python: FastAPI"

Now, you can set break points anywhere in the python code.

Running frontend unit tests

From the terminal, navigate to the frontend folder and run

npm run test

Running frontend end to end tests

From the terminal, navigate to the frontend folder and run

npx playwright test

To do an interactive test, use the extra argument -ui

To create new end to end tests automatically, use the command

 npx playwright codegen

Checking code coverage

Vitest has coverage enabled in the settings. When running npm run dev, the vitest UI will open in http://localhost:51204/**vitest**/#/?file=

TODO its not working at the moment...

Connecting to the local database

To connect to the local database, started using docker-compose, you can for example use a tool like Azure data studio.

Connection info:

  • server name: localhost
  • password: development
  • user name: postgres
  • database name: dev_db

API documentation

API documentation is automatically created and available at http://localhost:5173/docs

Authentication with the API

Authentication is enabled with JWT. To create a new jwt token, use http://jwtbuilder.jamiekurtz.com/ with this info:

  • Issuer = "Online JWT Builder"

  • Audience = "recipe-app"

  • subject = "general-user"

  • Role = "user"

  • Key = secret key, ask admin for this