Lesson 197 of 2116
FastAPI Minimal
FastAPI is Python's modern web framework. Type hints become schema. Docs auto-generate. Ship an API in 20 lines.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Types Become Your API Contract
- 2FastAPI
- 3Pydantic
- 4dependency
Concept cluster
Terms to connect while reading
Section 1
Types Become Your API Contract
FastAPI reads your Python type hints at runtime. If you say a field is a str with minimum length 1, it validates every request automatically and generates OpenAPI docs for free.
Run with `uvicorn main:app --reload`. Visit /docs for an interactive API explorer.
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
app = FastAPI()
class task list(BaseModel):
title: str = Field(min_length=1, max_length=120)
done: bool = False
TODOS: dict[int, task list] = {}
_next_id = 1
@app.post("/todos", status_code=201)
async def create_todo(task list: task list) -> dict:
global _next_id
tid = _next_id
_next_id += 1
TODOS[tid] = task list
return {"id": tid, **task list.model_dump()}
@app.get("/todos/{tid}")
async def get_todo(tid: int) -> dict:
if tid not in TODOS:
raise HTTPException(status_code=404, detail="not found")
return {"id": tid, **TODOS[tid].model_dump()}Dependency injection for auth
Depends() wires any function as middleware. Same pattern handles DB sessions, rate limits, and auth.
from fastapi import Depends, Header
async def require_api_key(x_api_key: str = Header(...)) -> str:
if x_api_key != "secret123":
raise HTTPException(status_code=401, detail="bad api key")
return x_api_key
@app.get("/secure")
async def secure(api_key: str = Depends(require_api_key)) -> dict:
return {"ok": True}Understanding "FastAPI Minimal" in practice: AI-assisted coding shifts work from syntax recall to design thinking — models handle boilerplate so you focus on architecture. FastAPI is Python's modern web framework. Type hints become schema. Docs auto-generate. Ship an API in 20 lines — and knowing how to apply this gives you a concrete advantage.
- Apply FastAPI in your ai-coding workflow to get better results
- Apply Pydantic in your ai-coding workflow to get better results
- Apply dependency in your ai-coding workflow to get better results
- Apply async in your ai-coding workflow to get better results
- 1Use AI to generate unit tests for an existing function
- 2Ask AI to refactor a messy function and explain the changes
- 3Have AI suggest a code review for a recent pull request
The big idea: types define your contract, FastAPI enforces it, and dependencies keep your routes clean.
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