FastAPI
Restful API framework (Python and PHP)
For full documentation visit fastapi.tiangolo.com.
Over 10 Years | Multiple Projects | Preferred
FastAPI is a modern, high-performance web framework used to build APIs with Python. It leverages standard Python type hints to automate data validation, serialization, and interactive documentation generation.
Step-by-Step Implementation Example
- 1. Installation
Install the core framework along with the development server components:
pip install fastapi[standard]
- 2. Create the Application Code
Create a file named main.py. This example shows how to declare GET and POST routes, extract URL parameters, and handle JSON body payloads via Pydantic data validation:
from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
# Initialize the application instance
app = FastAPI()
# Define a Pydantic data model for incoming request payloads
class Item(BaseModel):
name: str
price: float
is_offer: Optional[bool] = None
# A basic GET endpoint
@app.get("/")
def read_root():
return {"message": "Welcome to FastAPI"}
# A GET endpoint accepting a path parameter and an optional query parameter
@app.get("/items/{item_id}")
def read_item(item_id: int, q: Optional[str] = None):
return {"item_id": item_id, "query_parameter": q}
# A POST endpoint accepting an automated JSON request body validation
@app.post("/items/")
def create_item(item: Item):
# Process or save your item data here
return {"message": f"Item '{item.name}' created successfully!", "data": item}
- 3. Run the Local Server
Launch your development server using the FastAPI CLI runner:
fastapi dev main.py
The terminal will display the address of your running application, typically defaulting to http://127.0.0.1:8000.
Key Native Capabilities
-
Interactive Documentation: Visit
http://127.0.0.1:8000/docsin your browser to view the auto-generated Swagger UI page. This page lets you interactively test all application routes from your web browser. -
Automatic Data Validation: Passing an invalid data type (e.g., a string instead of a number for price) prompts FastAPI to block the execution automatically. It returns a structured JSON parsing error explaining exactly what was rejected.
-
Asynchronous Support: You can prefix your endpoint methods with async def to safely handle non-blocking concurrent connections. This approach allows the engine to achieve execution benchmarks similar to Go and Node.js.
So easy, AI does do it!
Normally, doing all this by hand is just as fast for me. But I like to let my AI have at it from time to time.
There are no special commands as in other PHP based frameworks, but projects are still very quick to build out and customize. This has become my preferred way of setting up Restful API's these days. Love Swagger!
Example, THIS site is built using FastAPI: API Docs.
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