FastApi Training , study and exam guide
1 Introduction to FastAPI
1.1 What is FastAPI?
1.2 Advantages of FastAPI
1.3 FastAPI vs Other Frameworks
1.4 Installation and Setup
2 Core Concepts
2.1 Asynchronous Programming in Python
2.2 Understanding Pydantic Models
2.3 Dependency Injection
2.4 Routing and Path Operations
2.5 Request and Response Models
3 Building APIs with FastAPI
3.1 Creating a Basic API
3.2 Handling GET Requests
3.3 Handling POST Requests
3.4 Handling PUT and DELETE Requests
3.5 Query Parameters and Path Parameters
3.6 Request Body and JSON Data
3.7 File Uploads
4 Advanced Features
4.1 Authentication and Authorization
4.2 Middleware
4.3 Background Tasks
4.4 WebSockets
4.5 CORS (Cross-Origin Resource Sharing)
4.6 Custom Exception Handling
5 Database Integration
5.1 Connecting to a Database
5.2 ORM Integration (SQLAlchemy)
5.3 CRUD Operations with FastAPI
5.4 Database Migrations
5.5 Handling Relationships
6 Testing and Debugging
6.1 Writing Unit Tests
6.2 Using TestClient for Integration Tests
6.3 Debugging Techniques
6.4 Logging and Monitoring
7 Deployment
7.1 Deploying FastAPI with Uvicorn
7.2 Dockerizing FastAPI Applications
7.3 Deploying to Cloud Platforms (AWS, GCP, Azure)
7.4 Continuous Integration and Continuous Deployment (CICD)
8 Best Practices
8.1 Code Organization and Structure
8.2 Security Best Practices
8.3 Performance Optimization
8.4 Documentation and OpenAPI
8.5 Versioning APIs
9 Case Studies and Projects
9.1 Building a RESTful API
9.2 Implementing a CRUD Application
9.3 Real-World Project Example
9.4 Collaborative Project with Team
10 Exam Preparation
10.1 Overview of Exam Structure
10.2 Sample Questions and Answers
10.3 Practice Exercises
10.4 Mock Exam Simulation
FastAPI Training: Handling Relationships

FastAPI Training: Handling Relationships

Key Concepts

Handling relationships in FastAPI involves several key concepts:

1. One-to-Many Relationship

In a one-to-many relationship, one entity can be associated with multiple entities of another type. For example, a blog post can have multiple comments.

Example:

from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class BlogPost(Base):
    __tablename__ = 'blog_posts'
    id = Column(Integer, primary_key=True)
    title = Column(String)
    comments = relationship("Comment", back_populates="blog_post")

class Comment(Base):
    __tablename__ = 'comments'
    id = Column(Integer, primary_key=True)
    text = Column(String)
    blog_post_id = Column(Integer, ForeignKey('blog_posts.id'))
    blog_post = relationship("BlogPost", back_populates="comments")
    

2. Many-to-One Relationship

In a many-to-one relationship, multiple entities of one type can be associated with a single entity of another type. For example, multiple comments can belong to a single blog post.

Example:

class Comment(Base):
    __tablename__ = 'comments'
    id = Column(Integer, primary_key=True)
    text = Column(String)
    blog_post_id = Column(Integer, ForeignKey('blog_posts.id'))
    blog_post = relationship("BlogPost", back_populates="comments")
    

3. Many-to-Many Relationship

In a many-to-many relationship, multiple entities of one type can be associated with multiple entities of another type. For example, a student can enroll in multiple courses, and a course can have multiple students.

Example:

from sqlalchemy import Table, Column, Integer, String, ForeignKey
from sqlalchemy.orm import relationship

student_course_association = Table(
    'student_course_association', Base.metadata,
    Column('student_id', Integer, ForeignKey('students.id')),
    Column('course_id', Integer, ForeignKey('courses.id'))
)

class Student(Base):
    __tablename__ = 'students'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    courses = relationship("Course", secondary=student_course_association, back_populates="students")

class Course(Base):
    __tablename__ = 'courses'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    students = relationship("Student", secondary=student_course_association, back_populates="courses")
    

4. One-to-One Relationship

In a one-to-one relationship, one entity is associated with exactly one entity of another type. For example, a user can have exactly one profile.

Example:

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    profile = relationship("Profile", uselist=False, back_populates="user")

class Profile(Base):
    __tablename__ = 'profiles'
    id = Column(Integer, primary_key=True)
    bio = Column(String)
    user_id = Column(Integer, ForeignKey('users.id'))
    user = relationship("User", back_populates="profile")
    

5. SQLAlchemy Relationships

SQLAlchemy provides powerful tools to define and manage relationships between database tables. The relationship function is used to define these relationships.

Example:

from sqlalchemy.orm import relationship

class BlogPost(Base):
    __tablename__ = 'blog_posts'
    id = Column(Integer, primary_key=True)
    title = Column(String)
    comments = relationship("Comment", back_populates="blog_post")
    

Analogies

Think of a one-to-many relationship as a library where one book can have multiple reviews. A many-to-one relationship is like multiple reviews belonging to a single book. A many-to-many relationship is like a university where students can enroll in multiple courses, and courses can have multiple students. A one-to-one relationship is like a user having exactly one profile. SQLAlchemy relationships are like the glue that binds these entities together, ensuring they interact correctly.

By understanding these concepts, you can effectively handle relationships in your FastAPI application, ensuring your data models are well-structured and maintainable.