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alexandrev-tibco
25bb1dce07
- SaxonDaemon (Saxon 12): capture secondary outputs via setResultDocumentHandler - Saxon2Daemon (Saxon 9.6): capture secondary outputs via OutputURIResolver - Go backend: propagate secondaryResults field in TransformResponse - Frontend: secondary results panel with collapsible items and copy button - Blog: xslt-result-document.md covering basic syntax, split-by-category, multi-format output, serialization, XSLT 3.0 streaming, and limitations Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
87 lines
3.0 KiB
Python
87 lines
3.0 KiB
Python
import json, sys
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files = [
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("/tmp/psi_mobile.json", "xsltplayground.com — mobile"),
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("/tmp/psi_desktop.json", "xsltplayground.com — desktop"),
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("/tmp/psi_blog_mobile.json", "blog.xsltplayground.com — mobile"),
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("/tmp/psi_blog_desktop.json","blog.xsltplayground.com — desktop"),
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]
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CRUX_LABELS = {
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"LARGEST_CONTENTFUL_PAINT_MS": "LCP",
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"FIRST_INPUT_DELAY_MS": "FID",
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"CUMULATIVE_LAYOUT_SHIFT_SCORE": "CLS",
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"INTERACTION_TO_NEXT_PAINT": "INP",
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"FIRST_CONTENTFUL_PAINT_MS": "FCP",
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"EXPERIMENTAL_TIME_TO_FIRST_BYTE":"TTFB",
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}
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LAB_KEYS = [
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"largest-contentful-paint",
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"first-contentful-paint",
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"total-blocking-time",
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"cumulative-layout-shift",
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"speed-index",
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"interactive",
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"server-response-time",
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]
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for path, label in files:
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with open(path) as f:
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d = json.load(f)
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cats = d.get("lighthouseResult", {}).get("categories", {})
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audits = d.get("lighthouseResult", {}).get("audits", {})
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crux = d.get("loadingExperience", {}).get("metrics", {})
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overall = d.get("loadingExperience", {}).get("overall_category", "?")
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print(f"\n{'='*56}")
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print(f" {label}")
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print(f" CrUX overall: {overall}")
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print(f"{'='*56}")
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scores = {c: int(v["score"] * 100) for c, v in cats.items()}
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print(f" Scores perf:{scores.get('performance','?')} "
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f"a11y:{scores.get('accessibility','?')} "
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f"seo:{scores.get('seo','?')} "
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f"bp:{scores.get('best-practices','?')}")
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print("\n Field data (CrUX — real users):")
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for key, lbl in CRUX_LABELS.items():
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mv = crux.get(key, {})
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if not mv:
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continue
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p = mv.get("percentile", 0)
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cat = mv.get("category", "?")
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sym = {"FAST": "✓", "AVERAGE": "~", "SLOW": "✗"}.get(cat, "?")
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unit = "ms" if "MS" in key else ("" if "SHIFT" in key else "ms")
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print(f" {sym} {lbl:<5} {p}{unit:<4} [{cat}]")
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print("\n Lab data (simulated — Lighthouse):")
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for k in LAB_KEYS:
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a = audits.get(k, {})
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if not a:
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continue
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score = a.get("score")
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sym = "✓" if score is None or score >= 0.9 else ("~" if score >= 0.5 else "✗")
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print(f" {sym} {k:<35} {a.get('displayValue','?')}")
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# LCP element
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lcp_audit = audits.get("largest-contentful-paint-element", {})
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items = lcp_audit.get("details", {}).get("items", [])
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if items:
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node = items[0].get("items", [{}])[0] if isinstance(items[0], dict) else {}
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node_label = node.get("node", {}).get("nodeLabel", "") or node.get("node", {}).get("snippet", "")
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print(f"\n LCP element: {node_label[:120]}")
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# Top opportunities
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opps = []
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for k, a in audits.items():
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savings = a.get("details", {}).get("overallSavingsMs", 0) or 0
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if savings > 100:
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opps.append((savings, a.get("title", k), k))
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if opps:
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print("\n Top opportunities (ms savings):")
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for ms, title, _ in sorted(opps, reverse=True)[:6]:
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print(f" {ms:>6}ms {title}")
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