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# async_scrape.py (requires Python 3.7+) | |
import asyncio, random, time | |
async def fetch_url(url): | |
print(f"~ executing fetch_url({url})") | |
t = time.perf_counter() | |
await asyncio.sleep(random.randint(1, 5)) | |
print(f"time of fetch_url({url}): {time.perf_counter() - t:.2f}s") | |
return f"<em>fake</em> page html for {url}" | |
async def analyze_sentiment(html): | |
print(f"~ executing analyze_sentiment('{html}')") | |
t = time.perf_counter() | |
await asyncio.sleep(random.randint(1, 5)) | |
r = {"positive": random.uniform(0, 1)} | |
print(f"time of analyze_sentiment('{html}'): {time.perf_counter() - t:.2f}s") | |
return r | |
urls = [ | |
"https://www.ietf.org/rfc/rfc2616.txt", | |
"https://en.wikipedia.org/wiki/Asynchronous_I/O", | |
] | |
extracted_data = {} | |
async def handle_url(url): | |
html = await fetch_url(url) | |
extracted_data[url] = await analyze_sentiment(html) | |
async def main(): | |
t = time.perf_counter() | |
await asyncio.gather(*(handle_url(url) for url in urls)) | |
print("> extracted data:", extracted_data) | |
print(f"time elapsed: {time.perf_counter() - t:.2f}s") | |
asyncio.run(main()) |
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