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build fastapi app with sqlmodel in python

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sure! in this tutorial, we will create a simple fastapi application using sqlmodel, which is an orm (object relational mapper) built on top of sqlalchemy and pydantic. sqlmodel simplifies the process of interacting with databases while providing the benefits of type safety and data validation.
prerequisites
1. **python 3.6 or later**: ensure you have python installed on your machine.
2. **fastapi**: we'll use fastapi for building our apis.
3. **sqlmodel**: this is the orm we will use for database interactions.
4. **sqlite**: for simplicity, we will use sqlite as our database. however, sqlmodel supports various databases.
installation
you can install fastapi and sqlmodel using pip:
```bash
pip install fastapi[all] sqlmodel
```
- `fastapi[all]` installs fastapi along with its dependencies, including an asgi server (like `uvicorn`).
- `sqlmodel` is the library we'll use for database interactions.
project structure
here's a simple structure for our fastapi project:
```
fastapi_sqlmodel_app/
│
```
step 1: define the model
```python
from sqlmodel import sqlmodel, field
class book(sqlmodel, table=true):
id: int = field(default=none, primary_key=true)
title: str
author: str
year: int
```
step 2: create the database
```python
from fastapi import fastapi, httpexception
from sqlmodel import sqlmodel, session, create_engine, select
from models import book
create a fastapi instance
app = fastapi()
sqlite database url
engine = create_engine(database_url)
create the database tables
def create_db_and_tables():
create_db_and_tables()
```
step 3: create cr ...
#FastAPI #SQLModel #windows
fastapi
sqlmodel
python
web development
API development
ORM
asynchronous programming
CRUD operations
database integration
Pydantic
data validation
RESTful API
Python frameworks
SQLAlchemy
microservices
prerequisites
1. **python 3.6 or later**: ensure you have python installed on your machine.
2. **fastapi**: we'll use fastapi for building our apis.
3. **sqlmodel**: this is the orm we will use for database interactions.
4. **sqlite**: for simplicity, we will use sqlite as our database. however, sqlmodel supports various databases.
installation
you can install fastapi and sqlmodel using pip:
```bash
pip install fastapi[all] sqlmodel
```
- `fastapi[all]` installs fastapi along with its dependencies, including an asgi server (like `uvicorn`).
- `sqlmodel` is the library we'll use for database interactions.
project structure
here's a simple structure for our fastapi project:
```
fastapi_sqlmodel_app/
│
```
step 1: define the model
```python
from sqlmodel import sqlmodel, field
class book(sqlmodel, table=true):
id: int = field(default=none, primary_key=true)
title: str
author: str
year: int
```
step 2: create the database
```python
from fastapi import fastapi, httpexception
from sqlmodel import sqlmodel, session, create_engine, select
from models import book
create a fastapi instance
app = fastapi()
sqlite database url
engine = create_engine(database_url)
create the database tables
def create_db_and_tables():
create_db_and_tables()
```
step 3: create cr ...
#FastAPI #SQLModel #windows
fastapi
sqlmodel
python
web development
API development
ORM
asynchronous programming
CRUD operations
database integration
Pydantic
data validation
RESTful API
Python frameworks
SQLAlchemy
microservices