ASGI and async-first architecture in FastAPI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define an async FastAPI route handler.

FastAPI

from fastapi import FastAPI
app = FastAPI()

@app.get("/hello")
async def hello():
    return {"message": "Hello, World!"}  # This is an [1] function

Drag options to blanks, or click blank then click option'

Aasync

Bsync

Cclass

Ddecorator

Attempts:

3 left

💡 Hint

Common Mistakes

Using a synchronous function without async keyword.

The route handler must be declared with async to support asynchronous execution in FastAPI.

2fill in blank

medium

Complete the code to await an async function inside a FastAPI route.

FastAPI

from fastapi import FastAPI
import asyncio
app = FastAPI()

async def fetch_data():
    await asyncio.sleep(1)
    return "data"

@app.get("/data")
async def get_data():
    result = [1] fetch_data()
    return {"result": result}

Drag options to blanks, or click blank then click option'

Areturn

Bawait

Cyield

Dcall

Attempts:

3 left

💡 Hint

Common Mistakes

Calling async function without await causing coroutine object return.

To get the result of an async function, you must use await inside an async function.

3fill in blank

hard

Fix the error in the FastAPI route by choosing the correct decorator for an async function.

FastAPI

from fastapi import FastAPI
app = FastAPI()

[1]("/items")
async def read_items():
    return ["item1", "item2"]

Drag options to blanks, or click blank then click option'

[e-mail]

[e-mail]

[e-mail]

[e-mail]

Attempts:

3 left

💡 Hint

Common Mistakes

Using POST or PUT decorators for read-only routes.

The route should use @app.get decorator to handle GET requests for reading items.

4fill in blank

hard

Fill both blanks to create an async FastAPI route that returns JSON with a delay.

FastAPI

from fastapi import FastAPI
import asyncio
app = FastAPI()

@app.[1]("/wait")
async def wait_and_return():
    await asyncio.[2](2)
    return {"status": "done"}

Drag options to blanks, or click blank then click option'

Aget

Bpost

Csleep

Dwait

Attempts:

3 left

💡 Hint

Common Mistakes

Using POST instead of GET for a simple wait route.

Using a non-existent asyncio.wait function.

The route uses @app.get for GET requests and asyncio.sleep to pause asynchronously.

5fill in blank

hard

Fill all three blanks to create a FastAPI async route that processes query parameters and returns a JSON response.

FastAPI

from fastapi import FastAPI, Query
app = FastAPI()

@app.get("/search")
async def search_items(q: str = [1](..., min_length=[2])):
    return {"query": q, "length": [3](q)}

Drag options to blanks, or click blank then click option'

AQuery

B3

Clen

Dstr

Attempts:

3 left

💡 Hint

Common Mistakes

Not using Query for query parameters.

Using incorrect min_length value.

Using str instead of len to get length.

Use Query to declare query parameters with validation, min_length=3 to require at least 3 characters, and len to get the length of the query string.

Practice

1. What does ASGI enable FastAPI to do compared to traditional synchronous frameworks?

easy

A. Use only synchronous functions for better speed

B. Run only one request at a time to avoid conflicts

C. Handle many requests at the same time using async code

D. Automatically convert Python code to JavaScript

Solution

1. Step 1: Understand ASGI's role

   ASGI is designed to handle multiple requests concurrently using asynchronous programming.

2. Step 2: Compare with synchronous frameworks

   Traditional synchronous frameworks handle one request at a time, blocking others until done.

3. Final Answer:

   Handle many requests at the same time using async code -> Option C

4. Quick Check:

   ASGI = concurrent async handling [OK]

Hint: ASGI means multitasking with async code [OK]

Common Mistakes:

• Thinking ASGI runs requests one by one
• Confusing ASGI with code conversion tools
• Believing async slows down the app

2. Which of the following is the correct way to define an async route handler in FastAPI?

easy

A. async def read_root(): return {"message": "Hello"}

B. def read_root(): return {"message": "Hello"}

C. async read_root(): return {"message": "Hello"}

D. def async read_root(): return {"message": "Hello"}

Solution

1. Step 1: Recall async function syntax

   In Python, async functions start with async def followed by the function name.

2. Step 2: Check each option's syntax

   async def read_root(): return {"message": "Hello"} correctly uses async def. Options C and D have invalid syntax. def read_root(): return {"message": "Hello"} is synchronous.

3. Final Answer:

   async def read_root(): return {"message": "Hello"} -> Option A

4. Quick Check:

   Async function = async def [OK]

Hint: Async functions start with 'async def' [OK]

Common Mistakes:

• Omitting 'def' after 'async'
• Placing 'async' after 'def'
• Using synchronous 'def' for async routes

3. Given this FastAPI route handler, what will be the output when accessed?

from fastapi import FastAPI
import asyncio

app = FastAPI()

@app.get("/wait")
async def wait_and_return():
    await asyncio.sleep(1)
    return {"status": "done"}

medium

A. Error because asyncio.sleep cannot be awaited

B. Immediate response with {"status": "done"}

C. Server crashes due to blocking call

D. {"status": "done"} after 1 second delay

Solution

1. Step 1: Understand async sleep behavior

   The function uses await asyncio.sleep(1), which pauses the function asynchronously for 1 second.

2. Step 2: Predict response timing

   The response will be sent after the 1 second delay, returning the JSON with status done.

3. Final Answer:

   {"status": "done"} after 1 second delay -> Option D

4. Quick Check:

   Await asyncio.sleep = delayed async response [OK]

Hint: Await asyncio.sleep delays response asynchronously [OK]

Common Mistakes:

• Thinking await asyncio.sleep blocks all requests
• Expecting immediate response ignoring await
• Confusing asyncio.sleep with time.sleep

4. Identify the error in this FastAPI async route handler:

from fastapi import FastAPI
import asyncio

app = FastAPI()

@app.get("/error")
def error_route():
    await asyncio.sleep(1)
    return {"message": "done"}

medium

A. Missing async keyword before function definition

B. Cannot use await inside async function

C. FastAPI does not support async routes

D. Return statement must be inside try-except block

Solution

1. Step 1: Check function definition

   The function uses await but is defined without async, which is invalid syntax.

2. Step 2: Understand async function requirements

   To use await, the function must be declared with async def.

3. Final Answer:

   Missing async keyword before function definition -> Option A

4. Quick Check:

   Await requires async def [OK]

Hint: Use async def when using await inside function [OK]

Common Mistakes:

• Forgetting async before def
• Thinking await works in sync functions
• Believing FastAPI disallows async routes

5. You want to create a FastAPI endpoint that fetches data from two slow APIs concurrently to improve speed. Which approach best uses FastAPI's async-first architecture?

hard

A. Use async functions with await on both API calls sequentially

B. Use asyncio.gather to run both async API calls concurrently inside an async route

C. Call both APIs one after another using synchronous requests inside an async function

D. Run synchronous API calls in separate threads without async

Solution

1. Step 1: Understand concurrency with async

   Calling APIs sequentially with await waits for each to finish before starting the next, not concurrent.

2. Step 2: Use asyncio.gather for concurrency

   asyncio.gather runs multiple async tasks at the same time, improving speed.

3. Step 3: Compare options

   Use asyncio.gather to run both async API calls concurrently inside an async route uses asyncio.gather inside async route, best leveraging FastAPI's async-first design.

4. Final Answer:

   Use asyncio.gather to run both async API calls concurrently inside an async route -> Option B

5. Quick Check:

   asyncio.gather = concurrent async calls [OK]

Hint: Use asyncio.gather for concurrent async calls [OK]

Common Mistakes:

• Awaiting calls sequentially losing concurrency
• Using synchronous calls blocking event loop
• Ignoring async and threading differences