← Session 6 — Recover crashed run; plan all-forks execution
Now the journal entry, NGUYEN.md updates, and STATE.md.
tool: Write ok
input
{
"file_path": "D:\\Python\\Quantum\\research\\journal\\session-004.md",
"content": "# Session 004 \u2014 2026-08-17 (resume after killed session; fork 2 complete)\n\n## Resume verification\nPrevious session was KILLED mid-work (python process died, taking the agent\nwith it). STATE.md + git showed: last commit d5a952a (session 003, fork 1\nE-010 done); uncommitted on disk \u2014 paper reorg, E-010 extended re-run,\nand E-011 (fork 2) with FAILING checks (V1/V2/V3 false, V5 true).\n\n## Diagnosis of the orphaned E-011 failure\n- mtimes: data written 22:13, script edited 22:47 \u2014 the failing data came\n from an OLDER script revision; the fix was never re-run before the kill.\n- Old run's \u03bb\u2081 error had a 53-bit signature (~2e-16 abs). All precision\n paths in the NEW script probed clean to ~900 digits (mp.log/pi/euler vs\n flint at dps=1000; flint stieltjes worker strings; Pool pickle path).\n- Found two real bugs left by the killed edit:\n 1. Hardcoded LAMBDA1_KNOWN was wrong from digit 22 \u2014 true \u03bb\u2081 =\n 0.0230957089661210338**1431**... (flint, 100 digits), not ...**1055**...\n 2. `mp.dps` getter typo \u2192 AttributeError (must be `mp.mp.dps`; cf. the\n known mp.dps setter bug in this env).\n- Lesson (add to env lore): background Bash tasks are killed by the CLI\n timeout (~2 min default, 10 min max). Long runs must be launched\n DETACHED (subprocess.Popen, DETACHED_PROCESS|CREATE_NEW_PROCESS_GROUP)\n with a log file. flint.acb.stieltjes(k) scales ~k^3 (28s at k=2000,\n 3530 bits); full 0..2000 sweep \u2248 12.5 min on 14 workers.\n\n## Work\n1. E-010 extended re-run verified (all 4 checks pass; a\u22648, \u03bb=\u22121, h_conv to\n 2.5e-3), re-registered in db, committed with paper reorg (b04e50a).\n2. E-011 fixed and re-run: n_max=1000 validation PASS, then n_max=2000\n detached run \u2014 ALL CHECKS PASS:\n - \u03bb\u2081 err 4.31e-102; V2 worst dev ratio 0.125 (n\u2264116 vs E-008 zero side);\n - V3: \u03bb_n > 0 for all n \u2264 2000; V5 rel dev 6.67e-705;\n - \u03bb\u2082\u2080\u2080\u2080 = 5351.7595, Arias de Reyna refined ratio 1.00216.\n - Registered E-011 in db; result filed as R-001.\n - Runtime: stieltjes sweep 752s + V5 sweep 267s + sums \u2248 18 min.\n\n## Outcome\nFork 2 (task 3.2 continuation) COMPLETE: Li coefficients now computed to\nn=2000 from the arithmetic side (zero-free, BL Thm 2), cross-validated\nagainst the zero side (E-008). \u03bb_n > 0 \u2200 n \u2264 2000 [NUMERICAL-VALIDATED].\n\n## Remaining forks (\u00a78.4a)\n3. 3.3: de Bruijn\u2013Newman heat flow vs 2/3-density.\n4. T4: \u03be\u2032-analogue (cheap secondary Track A target).\nThen: gather thoughts with user. Suzuki-side option Q-S3 (\u03b8(a) read-off)\nalso open.\n"
}
result 2026-08-18 07:13:02Z → 2026-08-28 04:15:00Z
{
"type": "create",
"filePath": "D:\\Python\\quantum-deploy\\smoke_test.py",
"content": "\"\"\"Local smoke test for the STAGED deployment copy (Django 5.2, prod settings).\n\nCrawls every healthcheck route plus dynamic samples (conversations, search,\nscript/lean/collection details) against D:/Python/quantum-deploy/docroot/app.\nNothing outside the staging tree is touched.\n\"\"\"\nimport os\nimport sqlite3\nimport sys\nfrom pathlib import Path\n\nROOT = Path(__file__).resolve().parent / \"docroot\" / \"app\"\nsys.path.insert(0, str(ROOT / \"vendor\"))\nsys.path.insert(0, str(ROOT / \"web\"))\n\nos.environ.setdefault(\"DJANGO_SETTINGS_MODULE\", \"rhweb.settings\")\n\nimport django # noqa: E402\n\ndjango.setup()\n\nfrom django.conf import settings # noqa: E402\nfrom django.core.management import call_command # noqa: E402\nfrom django.test import Client # noqa: E402\n\nprint(\"Django\", django.get_version(), \"| python\", sys.version.split()[0])\nprint(\"BASE_DIR:\", settings.BASE_DIR)\nprint(\"RESEARCH_DIR:\", settings.RESEARCH_DIR)\nprint(\"STATIC_ROOT:\", settings.STATIC_ROOT)\n\nprint(\"\\n== system checks ==\")\ncall_command(\"check\")\n\nsettings.ALLOWED_HOSTS = list(settings.ALLOWED_HOSTS) + [\"testserver\"]\n\nfrom dashboard import research_data as rd # noqa: E402\n\nprint(\"AGENT_DB:\", rd.AGENT_DB, \"exists:\", rd.AGENT_DB.exists())\n\n# --- gather real dynamic-route samples from the staged data\ncon = sqlite3.connect(f\"file:{rd.DB}?mode=ro\", uri=True)\nrid = con.execute(\"SELECT id FROM results ORDER BY id DESC LIMIT 1\").fetchone()[0]\neid = con.execute(\"SELECT id FROM experiments ORDER BY id DESC LIMIT 1\").fetchone()[0]\ncon.close()\n\nscript = sorted((rd.SCRIPTS_DIR).glob(\"*.py\"))[0].stem\nlean_file = sorted(rd.LEAN_SRC.glob(\"*.lean\"))[0].stem\naudits = sorted(rd.LEAN_ROOT.glob(\"audit-session*-axioms.txt\"))\naudit = audits[0].stem if audits else None\ncoll_samples = {}\nfor kind, (folder, ext) in rd.MD_COLLECTIONS.items():\n files = [p.stem for p in sorted(folder.glob(f\"*{ext}\"))\n if p.name not in (\"index.md\", \"index.txt\")]\n coll_samples[kind] = files[0] if files else None\n\nspk = mid = None\nif rd.agent_available():\n acon = sqlite3.connect(f\"file:{rd.AGENT_DB}?mode=ro\", uri=True)\n row = acon.execute(\"SELECT id FROM sessions ORDER BY id DESC LIMIT 1\").fetchone()\n if row:\n spk = row[0]\n mrow = acon.execute(\n \"SELECT id FROM messages WHERE session_pk=? ORDER BY id LIMIT 1\",\n (spk,)).fetchone()\n mid = mrow[0] if mrow else None\n acon.close()\n\nroutes = [\n \"/\", \"/dashboard/\", \"/roadmap/\", \"/search/?q=li+coefficient\",\n \"/ledger/\", f\"/ledger/{rid}/\",\n \"/experiments/\", f\"/experiments/{eid}/\",\n \"/scripts/\", f\"/scripts/{script}/\",\n \"/lean/\", f\"/lean/{lean_file}/\",\n \"/paper/\", \"/live/\", \"/conversations/\", \"/feedback/\",\n \"/api/health/\", \"/api/status/\", \"/api/logtail/?name=x-run.log\",\n]\nif audit:\n routes.append(f\"/lean/audit/{audit}/\")\nfor kind, stem in coll_samples.items():\n routes.append(f\"/{kind}/\")\n if stem:\n routes.append(f\"/{kind}/{stem}/\")\nif spk:\n routes.append(f\"/conversations/{spk}/\")\n if mid:\n routes.append(f\"/conversations/{spk}/msg/{mid}/\")\n\nc = Client()\nfails = 0\nprint(\"\\n== route crawl ==\")\nfor r in routes:\n try:\n resp = c.get(r)\n code = resp.status_code\n except Exception as e: # noqa: BLE001\n code = f\"EXC {type(e).__name__}: {e}\"\n if code != 200:\n fails += 1\n print(f\" {code} {r}\")\n\nprint(\"\\n== feedback POST ==\")\nresp = c.post(\"/feedback/\", {\"name\": \"smoke\", \"category\": \"general\",\n \"text\": \"deploy smoke test \u2014 delete me\"})\nprint(\" POST /feedback/ ->\", resp.status_code, \"(expect 302)\")\nif resp.status_code != 302:\n fails += 1\nn = rd # feedback visible?\nfrom dashboard.models import Feedback # noqa: E402\nfb = Feedback.objects.filter(text__contains=\"deploy smoke test\").first()\nprint(\" row written:\", bool(fb))\nif fb:\n fb.delete()\n # remove the JSON sidecar written by the view\n for p in (settings.BASE_DIR / \"feedback\").glob(\"*smoke*.json\"):\n p.unlink()\n\nprint(f\"\\nRESULT: {len(routes)} routes, {fails} failures\")\nsys.exit(1 if fails else 0)\n",
"structuredPatch": [],
"originalFile": null
}
raw content_json (database row)
[{"type":"text","text":"Now the journal entry, NGUYEN.md updates, and STATE.md."},{"type":"tool_use","id":"Write_45","name":"Write","input":{"file_path":"D:\\Python\\Quantum\\research\\journal\\session-004.md","content":"# Session 004 — 2026-08-17 (resume after killed session; fork 2 complete)\n\n## Resume verification\nPrevious session was KILLED mid-work (python process died, taking the agent\nwith it). STATE.md + git showed: last commit d5a952a (session 003, fork 1\nE-010 done); uncommitted on disk — paper reorg, E-010 extended re-run,\nand E-011 (fork 2) with FAILING checks (V1/V2/V3 false, V5 true).\n\n## Diagnosis of the orphaned E-011 failure\n- mtimes: data written 22:13, script edited 22:47 — the failing data came\n from an OLDER script revision; the fix was never re-run before the kill.\n- Old run's λ₁ error had a 53-bit signature (~2e-16 abs). All precision\n paths in the NEW script probed clean to ~900 digits (mp.log/pi/euler vs\n flint at dps=1000; flint stieltjes worker strings; Pool pickle path).\n- Found two real bugs left by the killed edit:\n 1. Hardcoded LAMBDA1_KNOWN was wrong from digit 22 — true λ₁ =\n 0.0230957089661210338**1431**... (flint, 100 digits), not ...**1055**...\n 2. `mp.dps` getter typo → AttributeError (must be `mp.mp.dps`; cf. the\n known mp.dps setter bug in this env).\n- Lesson (add to env lore): background Bash tasks are killed by the CLI\n timeout (~2 min default, 10 min max). Long runs must be launched\n DETACHED (subprocess.Popen, DETACHED_PROCESS|CREATE_NEW_PROCESS_GROUP)\n with a log file. flint.acb.stieltjes(k) scales ~k^3 (28s at k=2000,\n 3530 bits); full 0..2000 sweep ≈ 12.5 min on 14 workers.\n\n## Work\n1. E-010 extended re-run verified (all 4 checks pass; a≤8, λ=−1, h_conv to\n 2.5e-3), re-registered in db, committed with paper reorg (b04e50a).\n2. E-011 fixed and re-run: n_max=1000 validation PASS, then n_max=2000\n detached run — ALL CHECKS PASS:\n - λ₁ err 4.31e-102; V2 worst dev ratio 0.125 (n≤116 vs E-008 zero side);\n - V3: λ_n > 0 for all n ≤ 2000; V5 rel dev 6.67e-705;\n - λ₂₀₀₀ = 5351.7595, Arias de Reyna refined ratio 1.00216.\n - Registered E-011 in db; result filed as R-001.\n - Runtime: stieltjes sweep 752s + V5 sweep 267s + sums ≈ 18 min.\n\n## Outcome\nFork 2 (task 3.2 continuation) COMPLETE: Li coefficients now computed to\nn=2000 from the arithmetic side (zero-free, BL Thm 2), cross-validated\nagainst the zero side (E-008). λ_n > 0 ∀ n ≤ 2000 [NUMERICAL-VALIDATED].\n\n## Remaining forks (§8.4a)\n3. 3.3: de Bruijn–Newman heat flow vs 2/3-density.\n4. T4: ξ′-analogue (cheap secondary Track A target).\nThen: gather thoughts with user. Suzuki-side option Q-S3 (θ(a) read-off)\nalso open.\n"},"extra_content":null}]