Detecting common mistakes in asynchronous code

The first implementation of our sample service will show the first and most common mistake of asynchronous implementations: the mixing of blocking and non-blocking code, which the example makes explicit.

import time
import asyncio
import requests
BASE_URL = "https://ponyapi.net/v1/character/"
def get_data(person):
    try:
        p = person["data"][0]
        return f'{p["id"]}, {p["name"]}, {p["occupation"]}, {[k for k in p["kind"]]}'
    except Exception as e:
        return f'Error: {e}'
async def get_data_blocking(url):
    response = requests.get(url, timeout=30)
    if response.status_code == 200 and len(response.text) > 0:
        return response.json()
    else:
        return None
async def get_people():
    for i in range(1, 200):
        person_data = await get_data_blocking(BASE_URL + str(i))
    print(get_data(person_data))
async def main():...