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CodeSignal

Cooking App Structure & Database Modeling

via CodeSignal

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Overview

Build a solid foundation for your AI cooking assistant with a modular Flask app. Learn the app factory pattern, Blueprints, and SQLAlchemy models for recipes, ingredients, and reviews. Set up SQLite, add CLI tools for DB management, and create a clean, scalable, production-ready backend.

Syllabus

  • Unit 1: Initializing a Flask App and Setting Up the Database
    • Creating Your First Flask App Factory
    • Configuring Flask for Database Operations
    • Connecting Flask to SQLAlchemy Database
    • Creating Database Tables with App Context
    • Registering Blueprints for Route Organization
    • Starting the Flask Development Server
  • Unit 2: Designing Models and Relationships for a Cooking App API
    • Creating the SQLAlchemy Database Handler
    • Creating Your First Database Model
    • Creating the Recipe Model
    • Creating Many-to-Many Recipe Relationships
    • Creating the Review Model Relationship
  • Unit 3: Creating a Safe Database Reset Script for Your Cooking App
    • Setting Up Database Reset Imports
    • Adding Safety Confirmation to Reset Script
    • Fixing Database Deletion Order
    • Committing Changes to Complete Database Reset
    • Making Your Reset Script Executable
  • Unit 4: Creating a Command-Line Script to Add Recipes Manually
    • Fixing Python Import Paths
    • Adding Recipe Name Input Validation
    • Collecting Ingredients with Interactive Input
    • Collecting Recipe Steps with Sentinel Values
    • Saving Recipes to Database

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