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Abdessamad Derraz
5f3534bdf2
Status badges and hash-listing blocks leave the search index, card titles weigh as page titles, and Pagefind ranking is set inside a range where the ten gate queries all answer (search_gate.py: 10/10). Tables are set up and measured when they near the screen, which relaid out a 3,800-row page after its first paint, and console icons hold their box.
67 lines
2.9 KiB
Python
67 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""Lighthouse mobile (default form factor) on a list of pages, one summary line each.
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python lighthouse.py [--performance-only] <out dir> <name>=<base url> ... -- <page> ...
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With all four categories, Lighthouse runs its accessibility checks inside the
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page during the same load, and those tasks count toward Total Blocking Time
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on a page of 15,000 elements. --performance-only measures the page alone.
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Needs `npx lighthouse` and Chrome at /usr/bin/google-chrome.
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"""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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CATEGORIES = ("performance", "accessibility", "best-practices", "seo")
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def main() -> int:
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args = sys.argv[1:]
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categories = CATEGORIES
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if args[0] == "--performance-only":
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args.pop(0)
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categories = ("performance",)
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out = Path(args.pop(0))
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split = args.index("--")
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engines = dict(item.split("=", 1) for item in args[:split])
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pages = args[split + 1:]
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out.mkdir(parents=True, exist_ok=True)
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env = {**os.environ, "CHROME_PATH": "/usr/bin/google-chrome"}
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for name, base in engines.items():
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for page in pages:
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slug = page.strip("/").replace("/", "_") or "home"
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report = out / f"{name}-{slug}.json"
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# Under WSL chrome-launcher names its profile folder with a Windows path,
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# created relative to the working directory: run it inside the output folder.
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subprocess.run(
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["npx", "--prefix", str(Path(__file__).resolve().parent.parent), "lighthouse", base + page,
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"--quiet", "--output=json", f"--output-path={report.resolve()}",
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"--chrome-flags=--headless=new --no-sandbox",
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f"--only-categories={','.join(categories)}"],
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env=env, cwd=out, check=False, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
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data = json.loads(report.read_text())
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cats, audits = data["categories"], data["audits"]
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failed = [k for k, a in audits.items()
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if a.get("score") is not None and a["score"] < 1 and a.get("scoreDisplayMode") == "binary"]
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print(json.dumps({
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"engine": name, "page": page or "/",
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**{c: round(cats[c]["score"] * 100) for c in categories},
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"lcp": audits["largest-contentful-paint"]["displayValue"],
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"tbt": audits["total-blocking-time"]["displayValue"],
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"cls": audits["cumulative-layout-shift"]["displayValue"],
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"bytes": audits["total-byte-weight"]["displayValue"],
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# Lighthouse 13 moved the DOM size audit into an insight.
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"dom": (audits.get("dom-size") or audits.get("dom-size-insight") or {}).get("displayValue", ""),
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"failed": failed,
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}))
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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