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* deps: migrate from httpx to httpx2 (pydantic's maintained fork) Mechanical rename of httpx -> httpx2 (API-compatible fork of httpx 0.28.1): pyproject.toml deps, PEP 723 inline-script headers, and all import/call sites. Excludes uv.lock (the keeper's allow-list rejects .lock files); the lock refresh needs a separate maintainer-merged PR. Refs #15081 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * deps: drop tweepy + migrate remaining requests refs to httpx2 - maths/allocation_number.py: docstring example uses httpx2, not requests - web_programming/get_imdbtop.py.DISABLED: import httpx2 instead of requests - remove web_programming/get_user_tweets.py.DISABLED (a Twitter API how-to, not an algorithm) and drop the tweepy dependency that was its only user and the last high-level dep pulling in requests - uv.lock intentionally untouched (keeper allow-list) Refs #15081 --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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Provide the current worldwide COVID-19 statistics.
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This data is being scrapped from 'https://www.worldometers.info/coronavirus/'.
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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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# "beautifulsoup4",
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# "httpx2",
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# ]
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# ///
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import httpx2
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from bs4 import BeautifulSoup
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def world_covid19_stats(
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url: str = "https://www.worldometers.info/coronavirus/",
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) -> dict:
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"""
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Return a dict of current worldwide COVID-19 statistics
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"""
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soup = BeautifulSoup(
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httpx2.get(url, timeout=10, follow_redirects=True).text, "html.parser"
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)
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keys = soup.find_all("h1")
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values = soup.find_all("div", {"class": "maincounter-number"})
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keys += soup.find_all("span", {"class": "panel-title"})
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values += soup.find_all("div", {"class": "number-table-main"})
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return {key.text.strip(): value.text.strip() for key, value in zip(keys, values)}
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if __name__ == "__main__":
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print("\033[1m COVID-19 Status of the World \033[0m\n")
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print("\n".join(f"{key}\n{value}" for key, value in world_covid19_stats().items()))
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