4ec71a303b
* fix covid_stats_via_xpath.py Improve error handling. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix covid_stats_via_xpath.py typo * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix ruff * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * upgrade covid_stats_via_xpath.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update and fix covid_stats_via_xpath.py --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
"""
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This script demonstrates fetching simple COVID-19 statistics from the
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Worldometers archive site using lxml. lxml is chosen over BeautifulSoup
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for its speed and convenience in Python web projects (such as Django or
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Flask).
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"""
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# /// script
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# requires-python = ">=3.13"
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# dependencies = [
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# "httpx",
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# "lxml",
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# ]
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# ///
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from typing import NamedTuple
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import httpx
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from lxml import html
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class CovidData(NamedTuple):
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cases: str
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deaths: str
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recovered: str
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def covid_stats(
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url: str = (
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"https://web.archive.org/web/20250825095350/"
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"https://www.worldometers.info/coronavirus/"
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),
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) -> CovidData:
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xpath_str = '//div[@class = "maincounter-number"]/span/text()'
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try:
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response = httpx.get(url, timeout=10).raise_for_status()
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except httpx.TimeoutException:
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print(
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"Request timed out. Please check your network connection "
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"or try again later."
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)
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return CovidData("N/A", "N/A", "N/A")
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except httpx.HTTPStatusError as e:
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print(f"HTTP error occurred: {e}")
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return CovidData("N/A", "N/A", "N/A")
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data = html.fromstring(response.content).xpath(xpath_str)
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if len(data) != 3:
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print("Unexpected data format. The page structure may have changed.")
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data = "N/A", "N/A", "N/A"
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return CovidData(*data)
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if __name__ == "__main__":
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fmt = (
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"Total COVID-19 cases in the world: {}\n"
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"Total deaths due to COVID-19 in the world: {}\n"
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"Total COVID-19 patients recovered in the world: {}"
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)
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print(fmt.format(*covid_stats()))
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