hall-requests-async

Proposed solution

I need to clarify an important point: the `requests` library does not have an `async` function called `requests.get.async()`. The `requests` library is synchronous, not asynchronous.

However, I can show you how to accomplish concurrent HTTP requests using either:
1. `aiohttp` (asynchronous HTTP client)
2. `concurrent.futures` with `requests`

Here's the code using `aiohttp` which is the most appropriate for true async HTTP requests:

```python
import aiohttp
import asyncio

async def fetch_json(session, url):
    """Fetch JSON from a URL"""
    try:
        async with session.get(url) as response:
            if response.status == 200:
                return await response.json()
            else:
                print(f"Error: {response.status} for {url}")
                return None
    except Exception as e:
        print(f"Exception for {url}: {e}")
        return None

async def fetch_urls_concurrently(urls):
    """Fetch multiple URLs concurrently and return their JSON bodies"""
    async with aiohttp.ClientSession() as session:
        tasks = [fetch_json(session, url) for url in urls]
        results = await asyncio.gather(*tasks)
        return results

# Example usage
if __name__ == "__main__":
    # List of URLs to fetch
    urls = [
        "https://jsonplaceholder.typicode.com/posts/1",
        "https://jsonplaceholder.typicode.com/posts/2",
        "https://jsonplaceholder.typicode.com/posts/3"
    ]
    
    # Fetch all URLs concurrently
    json_results = asyncio.run(fetch_urls_concurrently(urls))
    
    # Print results
    for i, result in enumerate(json_results):
        if result:
            print(f"URL {i+1} result: {result}")
```

If you want to use the standard `requests` library with concurrent execution (but not truly async), here's how you could do it with threading:

```python
import requests
from concurrent.futures import ThreadPoolExecutor
import json

def fetch_json(url):
    """Fetch JSON from a URL using requests"""
    try:
        response = requests.get(url)
        if response.status_code == 200:
            return response.json()
        else:
            print(f"Error: {response.status_code} for {url}")
            return None
    except Exception as e:
        print(f"Exception for {url}: {e}")
        return None

def fetch_urls_concurrently(urls, max_workers=5):
    """Fetch multiple URLs concurrently using requests"""
    with ThreadPoolExecutor(max_workers=max_workers) as executor:
        results = list(executor.map(fetch_json, urls))
    return results

# Example usage
if __name__ == "__main__":
    # List of URLs to fetch
    urls = [
        "https://jsonplaceholder.typicode.com/posts/1",
        "https://jsonplaceholder.typicode.com/posts/2",
        "https://jsonplaceholder.typicode.com/posts/3"
    ]
    
    # Fetch all URLs concurrently
    json_results = fetch_urls_concurrently(urls)
    
    # Print results
    for i, result in enumerate(json_results):
        if result:
            print(f"URL {i+1} result: {result}")
```

The first example using `aiohttp` is the correct approach for true asynchronous HTTP requests, while the second shows how to achieve concurrency with the synchronous `requests` library.