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)")