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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>
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
# /// script
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# requires-python = ">=3.13"
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# dependencies = [
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# "httpx2",
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# ]
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# ///
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import httpx2
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def get_apod_data(api_key: str) -> dict:
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"""
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Get the APOD(Astronomical Picture of the day) data
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Get your API Key from: https://api.nasa.gov/
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"""
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url = "https://api.nasa.gov/planetary/apod"
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return httpx2.get(url, params={"api_key": api_key}, timeout=10).json()
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def save_apod(api_key: str, path: str = ".") -> dict:
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apod_data = get_apod_data(api_key)
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img_url = apod_data["url"]
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img_name = img_url.split("/")[-1]
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response = httpx2.get(img_url, timeout=10)
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with open(f"{path}/{img_name}", "wb+") as img_file:
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img_file.write(response.content)
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del response
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return apod_data
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def get_archive_data(query: str) -> dict:
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"""
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Get the data of a particular query from NASA archives
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"""
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url = "https://images-api.nasa.gov/search"
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return httpx2.get(url, params={"q": query}, timeout=10).json()
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if __name__ == "__main__":
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print(save_apod("YOUR API KEY"))
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apollo_2011_items = get_archive_data("apollo 2011")["collection"]["items"]
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print(apollo_2011_items[0]["data"][0]["description"])
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