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CodeSignal

Cooking App Structure & Database Modeling with FastAPI

via CodeSignal

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Overview

Build a solid foundation for your AI cooking assistant with a modular FastAPI app. Learn how to wire APIRouter, Pydantic schemas, and SQLAlchemy models for recipes, ingredients, and reviews. Set up SQLite, enable CORS, serve static files, and create a clean, scalable, production-ready backend.

Syllabus

  • Unit 1: Getting Started with FastAPI
    • Create FastAPI Application Factory
    • Configure SQLAlchemy Database for FastAPI Application
    • Connect FastAPI to SQLAlchemy Database
    • Access Static Files in your Application
    • Including FastAPI Routers
    • Adding CORS to the FastAPI Application
  • Unit 2: Designing Database Models
    • Create Ingredient Model
    • Create Recipe Model with SQLAlchemy
    • Implementing Many-to-Many Relationships Between Recipes and Ingredients
    • Creating Recipe Review Model with SQLAlchemy
    • Adding Database Session Management Utilities
  • Unit 3: Resetting Your Database
    • Complete Database Reset Script Imports
    • Adding Safety Confirmation to Database Reset Script
    • Making the Database Reset Script more robust
    • Fix Database Reset Deletion Order
    • Adding Entry-Point Guard to Database Reset Script
  • Unit 4: Manual Recipe Entry
    • Fix Import Path Typo in Python Script
    • Implement Recipe Name Input with Validation
    • Implement Interactive Ingredient Collection Function
    • Implement Recipe Steps Collection Function
    • Implement Recipe Database Persistence
    • Add Recipe Duplicate Detection Logic

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