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This project implements a simple recipe management system using Flask for the API and MSSQL for the database. It allows users to add, retrieve, update, and delete recipes, rate recipes, and add comments.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Installation

To run the application, make sure you have Docker installed on your machine.

1. Clone this repository:

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2. Navigate to the project directory:

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#cd recipe-api

3. Build and run the application using Docker:

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4. Access the API at http://localhost:5000

• POST /recipes/: Add a new recipe.
• GET /recipes/: Retrieve a list of all recipes, sorted by most recent.
• GET /recipes/<recipe_id>: Retrieve details of a specific recipe by its ID.
• PUT /recipes/<recipe_id>: Update a specific recipe by its ID.
• DELETE /recipes/<recipe_id>: Delete a specific recipe by its ID.
• POST /recipes/<recipe_id>/ratings/: Rate a specific recipe.
• POST /recipes/<recipe_id>/comments/: Comment on a specific recipe.
• GET /

docker-compose up --build

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Once the containers are up and running, you can access the API using the following endpoints:

• POST /recipes: Add a new recipe.
• GET /recipes: Retrieve a list of all recipes.
• GET /recipes/<recipe_id>: Retrieve details of a specific recipe.
• PUT /recipes/<recipe_id>: Update a specific recipe.
• DELETE /recipes/<recipe_id>: Delete a specific recipe.
• POST /recipes/<recipe_id>/ratings: Rate a specific recipe.
• POST /recipes/<recipe_id>/comments: Comment on a specific recipe.
• GET /recipes/<recipe_id>/comments: Retrieve all comments for a specific recipe.

• Code quality, readability, and organization.
• Proper implementation of the API and database interactions.
• Proper use of Docker for containerization.
• Handling edge cases and error scenarios.

• Implementation of user authentication, search functionality, recipe suggestions, and unit tests.

• Juliana Jasmin Aliswag | 3.19.2024