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web_programming/covid_stats_via_xpath.py
59 строк
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lighting9999
fix covid_stats_via_xpath.py (#12975)
18 сен 2025, 16:55
Не верифицирован
18 сен 2025, 16:55
4ec71a3
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""" This script demonstrates fetching simple COVID-19 statistics from the Worldometers archive site using lxml. lxml is chosen over BeautifulSoup for its speed and convenience in Python web projects (such as Django or Flask). """ # /// script # requires-python = ">=3.13" # dependencies = [ # "httpx", # "lxml", # ] # /// from typing import NamedTuple import httpx from lxml import html class CovidData(NamedTuple): cases: str deaths: str recovered: str def covid_stats( url: str = ( "https://web.archive.org/web/20250825095350/" "https://www.worldometers.info/coronavirus/" ), ) -> CovidData: xpath_str = '//div[@class = "maincounter-number"]/span/text()' try: response = httpx.get(url, timeout=10).raise_for_status() except httpx.TimeoutException: print( "Request timed out. Please check your network connection " "or try again later." ) return CovidData("N/A", "N/A", "N/A") except httpx.HTTPStatusError as e: print(f"HTTP error occurred: {e}") return CovidData("N/A", "N/A", "N/A") data = html.fromstring(response.content).xpath(xpath_str) if len(data) != 3: print("Unexpected data format. The page structure may have changed.") data = "N/A", "N/A", "N/A" return CovidData(*data) if __name__ == "__main__": fmt = ( "Total COVID-19 cases in the world: {}\n" "Total deaths due to COVID-19 in the world: {}\n" "Total COVID-19 patients recovered in the world: {}" ) print(fmt.format(*covid_stats()))