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Measured on demo-felhom (N100, 16 GB): 61 apps deployed and removed through the product, sampled every 5 s; heavy apps with one real action (Immich 200 photos, Jellyfin transcode, Paperless OCR, Nextcloud 500 MB, ...). sizing.json for the estimator (tools/build_sizing.py), SIZING.md with the proposed minimum machine, METHOD.md. Power is RAPL CPU-package only (no meter). R-993 asks the operator to approve the minimum machine; R-994 lists catalog limits/requests that are too low; R-995 records leftover unnamed volumes after removal. R-231's dated check measured: dooplex-backup.service success, journal green.
26 lines
1.4 KiB
Python
26 lines
1.4 KiB
Python
#!/usr/bin/env python3
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"""render_table.py — put the per-app table from evidence/apps-table.json into SIZING.md (__APPS_TABLE__ or between markers)."""
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import json, os, re
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A = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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t = json.load(open(os.path.join(A, "evidence", "apps-table.json")))
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rows = ["<!-- apps-table: generated by tools/render_table.py -->",
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"| App | Typical MB | Peak MB | Catalog request / limit | CPU class | CPU rest % | Busiest minute % | Source |",
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"|---|---|---|---|---|---|---|---|"]
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for a in sorted(t, key=lambda a: -(a["mem_peak_mb"] or 0)):
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f = lambda v: "–" if v is None else (f"{v:,}" if isinstance(v, int) else str(v))
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src = a["source"] + (" !" if a["sources_disagree"] else "")
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if a.get("lifecycle"):
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src += f" — {a['lifecycle']}"
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rows.append(f"| {a['display_name']} (`{a['slug']}`) | {f(a['mem_typical_mb'])} | {f(a['mem_peak_mb'])} | "
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f"{f(a['catalog_request_mb'])} / {f(a['catalog_limit_mb'])} | {a['cpu_class'] or '—'} | "
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f"{f(a['cpu_rest_pct'])} | {f(a['cpu_peak_1m_pct'])} | {src} |")
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rows.append("<!-- /apps-table -->")
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p = os.path.join(A, "SIZING.md"); s = open(p, encoding="utf-8").read()
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block = "\n".join(rows)
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if "__APPS_TABLE__" in s:
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s = s.replace("__APPS_TABLE__", block)
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else:
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s = re.sub(r"<!-- apps-table:.*?<!-- /apps-table -->", block, s, flags=re.S)
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open(p, "w", encoding="utf-8").write(s)
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print(len(t), "rows")
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