| import json, csv, collections |
|
|
| AUG = "/root/research/llms-txt/raw/phase_a.jsonl" |
| SEP = "/root/research/llms-txt/phase_a_2026-09-20.jsonl" |
| OUT = "/root/research/llms-txt/broken_llmstxt_2026-09-20.csv" |
|
|
| def load(p): |
| return {r["src"]: r for r in (json.loads(l) for l in open(p))} |
|
|
| a, s = load(AUG), load(SEP) |
| ok = lambda r: r["status"] == 200 and not r["is_html"] |
|
|
| def reason(r): |
| if r["status"] == 0: return "unreachable (dns, tls or timeout)" |
| if r["status"] in (403, 429): return f"bot-blocked ({r['status']})" |
| if r["status"] == 404: return "404 not found" |
| if r["status"] >= 400: return f"http {r['status']}" |
| if r["is_html"]: return "returns an HTML page, not a text file" |
| if r["status"] != 200: return f"http {r['status']} (not a 200)" |
| return None |
|
|
| broke, fixed, still = [], [], [] |
| for u in a: |
| wa, ws = ok(a[u]), ok(s[u]) |
| if wa and not ws: broke.append(u) |
| elif not wa and ws: fixed.append(u) |
| elif not wa and not ws: still.append(u) |
|
|
| print(f"six weeks, same 1,563 files") |
| print(f" broken 2026-08-05 : {sum(1 for u in a if not ok(a[u])):>4} 15.7%") |
| print(f" broken 2026-09-20 : {sum(1 for u in s if not ok(s[u])):>4} 17.0%") |
| print() |
| print(f" newly broken : {len(broke):>4} worked in August, do not now") |
| print(f" fixed : {len(fixed):>4} were broken, work now") |
| print(f" still broken : {len(still):>4} broken in both runs") |
| print(f" net change : {len(broke)-len(fixed):>+4}") |
| print() |
| print("why the newly broken ones fail now:") |
| for k, v in collections.Counter(reason(s[u]) for u in broke).most_common(): |
| print(f" {k:42} {v}") |
| print() |
| print("current breakdown, all broken:") |
| for k, v in collections.Counter(reason(s[u]) for u in s if not ok(s[u])).most_common(): |
| print(f" {k:42} {v}") |
|
|
| rows = [] |
| for u in sorted(s): |
| if ok(s[u]): |
| continue |
| rows.append({"llmstxt_url": u, "status": s[u]["status"], |
| "returned_html": s[u]["is_html"], "reason": reason(s[u]), |
| "worked_on_2026_08_05": ok(a[u])}) |
| with open(OUT, "w", newline="") as f: |
| w = csv.DictWriter(f, fieldnames=list(rows[0])) |
| w.writeheader(); w.writerows(rows) |
| print(f"\nwrote {OUT} ({len(rows)} rows)") |
|
|
