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fetch_pypi_downloads.py becomes fetch_pypi_downloads_via_clickpy.py and fetch_pepy_downloads.py becomes fetch_pypi_downloads_via_pepy.py, ahead of splitting the BigQuery path into its own file. Updates the usage strings, the cross-file import, and the audit-the-list skill's references to match. Pure rename, no behavior change. Co-Authored-By: Claude <noreply@anthropic.com>
69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""Spot-check last-30-day PyPI download counts via the pepy.tech API.
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Cross-check for a handful of packages during audits — not for full-README
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sweeps: the free API key is throttled to 5 requests/minute (10 burst), so
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this script sleeps 12s between requests and 530 names would take ~2 hours
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(use fetch_pypi_downloads_via_clickpy.py for bulk). Reads PEPY_TECH_API_KEY from the
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environment, falling back to the repo-root .env. The v2 endpoint returns
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~90 days of per-day per-version counts; this script sums the most recent
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30 days present in the response across all versions. pepy counts include
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mirror/CI traffic (CI filtering is a paid pepy feature), matching the
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ClickPy/BigQuery figures; pypistats.org excludes mirrors, so never mix
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the two in one comparison. Results print to stdout as TSV and are not
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cached — data/pypi_downloads.tsv stays single-source.
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Usage: python fetch_pypi_downloads_via_pepy.py NAME [NAME ...]
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"""
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import os
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import sys
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import time
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from pathlib import Path
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import httpx
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from fetch_pypi_downloads_via_clickpy import normalize
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ENV_FILE = Path(__file__).parent.parent / ".env"
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PEPY_URL = "https://api.pepy.tech/api/v2/projects/{name}"
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SECONDS_BETWEEN_REQUESTS = 12
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def load_api_key() -> str:
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key = os.environ.get("PEPY_TECH_API_KEY", "")
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if not key and ENV_FILE.exists():
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for line in ENV_FILE.read_text().splitlines():
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name, sep, value = line.partition("=")
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if sep and name.strip() == "PEPY_TECH_API_KEY":
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key = value.strip()
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if not key:
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print("Error: PEPY_TECH_API_KEY not set (environment or repo-root .env).", file=sys.stderr)
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sys.exit(1)
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return key
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def last_30_day_total(downloads_per_day: dict[str, dict[str, int]]) -> int:
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recent_days = sorted(downloads_per_day)[-30:]
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return sum(sum(downloads_per_day[day].values()) for day in recent_days)
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def main() -> None:
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if len(sys.argv) < 2:
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print("Usage: python fetch_pypi_downloads_via_pepy.py NAME [NAME ...]", file=sys.stderr)
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sys.exit(1)
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names = [normalize(name) for name in sys.argv[1:]]
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with httpx.Client(headers={"X-API-Key": load_api_key()}, timeout=30) as client:
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for i, name in enumerate(names):
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if i:
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time.sleep(SECONDS_BETWEEN_REQUESTS)
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resp = client.get(PEPY_URL.format(name=name))
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if resp.status_code == 404:
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print(f"{name}\tNOT_FOUND")
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continue
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resp.raise_for_status()
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print(f"{name}\t{last_30_day_total(resp.json()['downloads'])}")
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if __name__ == "__main__":
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main()
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