Merge pilot recovery into the semantic simplex schema delivery
This commit is contained in:
@@ -44,6 +44,9 @@ Labeling must be finished before anyone opens `results.jsonl`.
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- Metadata is stored beside the output as `results.meta.json`. Model, endpoint, temperature,
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input hash, frozen-label hash and prompt hashes must match on resume. Usage is cumulative.
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A file lock prevents concurrent writers. A budget stop returns exit status 2.
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- Billing/authentication failures stop immediately. Resume retries only missing detector components,
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keeping both complete items and the successful side of partial items. Rows are replaced atomically.
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`--audit-only` reconciles saved completion counts and status without any API request.
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- The nominal successful path uses 130 calls (one source extraction and one judge per item);
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malformed replies and network retries may increase the actual count.
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- Scoring requires complete labels and results and no unresolved detector errors. The primary
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@@ -51,7 +54,16 @@ Labeling must be finished before anyone opens `results.jsonl`.
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The complementary-signal PARTIAL rule counts wrong items flagged by role alignment but missed
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by the judge. No threshold, concept table or detector prompt was tuned for these labels.
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- Raw passages, labeling HTML and model responses remain in the ignored `data/` directory.
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Only verdicts, abstract annotation notes, hashes and text-free summaries belong in Git.
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Verdicts, abstract annotation notes, hashes and text-free summaries belong in Git;
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the owner-approved schema-only HTML review is also tracked separately under docs/reviews/.
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## Qwen execution snapshot
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The 2026-10-28 run was blocked by DashScope `Arrearage`: 42 items are complete, 23 need
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42 detector components, and 131 of the 400 request reservations have been consumed.
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The owner requested fixes and a report now, with paid resumption deferred.
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See `docs/experiments/P0-execution-2026-10-28.md` and `results/execution.json`.
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No gate decision has been issued. Restore provider billing before resuming the same run.
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## Separate GPT-assisted diagnostic
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@@ -0,0 +1,72 @@
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{
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"experiment": "P0",
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"status": "provider_blocked",
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"decision": null,
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"decision_withheld_reason": "Incomplete detector outputs after DashScope Arrearage; no GO/PARTIAL/NO-GO is valid.",
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"cohort_size": 65,
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"completed_items": 42,
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"items_with_failures": 23,
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"missing_components": {
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"judge": 22,
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"role": 20
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},
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"request_attempts": 131,
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"max_calls": 400,
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"remaining_request_budget": 269,
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"usage": {
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"calls": 89,
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"prompt_tokens": 37699,
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"completion_tokens": 7790
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},
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"model": "qwen-max",
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"temperature": 0.0,
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"items_sha256": "487ecd22919a5e3b0174a2846ab8fe7c0daf4d3feccccf8ea6571aec04c41bed",
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"labels_sha256": "1552dba85e75426799151384e7e28c9a0b1072ed4c862df0876df89920d2a638",
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"results_sha256": "fce402e6eab460a48bb9a8e94140bb23f305843ab46d227bbffa5100d7de69e5",
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"prompt_hashes": {
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"source": "382f9a7b5a0cfb2d50d525f884dc806f45adaa59bcc45e388920c4759db1546f",
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"judge": "7ab92682bd71d78a212471289f0f01db39d6b68f49d44df65d7b1c9e34ebb5e2"
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},
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"labels": {
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"type": "single AI annotator; not human gold",
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"frozen": true,
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"count": 65
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},
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"affected_blind_ids": [
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"P02",
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"P04",
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"P09",
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"P18",
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"P19",
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"P20",
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"P21",
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"P22",
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"P24",
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"P27",
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"P29",
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"P30",
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"P33",
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"P36",
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"P37",
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"P38",
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"P42",
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"P43",
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"P45",
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"P47",
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"P54",
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"P59",
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"P62"
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],
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"successful_components_preserved": 88,
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"resume_policy": "After owner confirms billing recovery, retry missing components only using the same run files, frozen labels, model, prompts and cumulative 400-request ceiling.",
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"owner_instruction": "2026-10-28: complete fixes and the execution report now; resume paid calls later.",
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"validation": {
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"offline_unit_tests": 149,
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"ruff": "passed",
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"remote_runner_tag": "ubuntu24.04-x64-lean4.35",
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"initial_remote_ci": "https://gitea.entroia.com/Zayden-Jung/lean-bench/actions/runs/427",
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"initial_remote_ci_status": "success; image job skipped for PR",
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"recovery_remote_ci": "https://gitea.entroia.com/Zayden-Jung/lean-bench/actions/runs/433",
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"consolidated_pull_request": "https://gitea.entroia.com/Zayden-Jung/lean-bench/pulls/9"
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}
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}
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@@ -50,37 +50,64 @@ def judge(client, passage: str, lean: str) -> dict:
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"reason": str(reply.get("reason", ""))[:300]}
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def run_item(client, item: dict) -> dict:
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if not item.get("source_text", "").strip():
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raise ValueError("Missing source_text; use a private source-inclusive export")
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code = item.get("lean_code") or ""
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row: dict = {"id": item["id"], "compiled": bool(item.get("verified")), "errors": {}}
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proj = project(code)
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row["projection"] = proj.as_dict()
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row["lint"] = lint(proj)
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try:
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src = srcsimplex.extract_source_simplex(client, item.get("source_text", ""),
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item.get("label", ""))
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al = align(src, proj)
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row["source"] = [r.__dict__ for r in src.roles]
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row["role"] = al.as_dict()
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except CallBudgetExceeded:
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raise
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except Exception as error: # a failed extraction is data, not a crash
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row["errors"]["role"] = str(error)[:300]
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try:
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row["judge"] = judge(client, item.get("source_text", ""), code)
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except CallBudgetExceeded:
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raise
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except Exception as error:
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row["errors"]["judge"] = str(error)[:300]
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return row
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def provider_blocked(error: Exception) -> bool:
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text = str(error).lower()
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return any(code in text for code in ("arrearage", "overdue-payment", "invalid_api_key", "http 401", "http 403"))
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def complete_row(row: dict) -> bool:
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return not row.get("errors") and "role" in row and "judge" in row
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class ProviderBlocked(RuntimeError):
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"""A billing or authentication failure requires external recovery before resuming."""
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def __init__(self, row):
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super().__init__("Provider billing/authentication blocked; partial results were preserved")
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self.row = row
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class CallBudgetExceeded(RuntimeError):
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"""Stop before issuing a request that would exceed the cumulative budget."""
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def run_item(client, item: dict, previous: dict | None = None) -> dict:
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if not item.get("source_text", "").strip():
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raise ValueError("Missing source_text; use a private source-inclusive export")
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code = item.get("lean_code") or ""
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row: dict = {**(previous or {}), "id": item["id"], "compiled": bool(item.get("verified"))}
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row["errors"] = dict(row.get("errors", {}))
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proj = project(code)
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row["projection"] = proj.as_dict()
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row["lint"] = lint(proj)
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if "role" not in row:
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try:
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src = srcsimplex.extract_source_simplex(client, item["source_text"], item.get("label", ""))
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al = align(src, proj)
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row["source"] = [r.__dict__ for r in src.roles]
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row["role"] = al.as_dict()
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row["errors"].pop("role", None)
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except CallBudgetExceeded as error:
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error.row = row
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raise
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except Exception as error:
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row["errors"]["role"] = str(error)[:300]
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if provider_blocked(error):
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raise ProviderBlocked(row) from error
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if "judge" not in row:
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try:
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row["judge"] = judge(client, item["source_text"], code)
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row["errors"].pop("judge", None)
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except CallBudgetExceeded as error:
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error.row = row
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raise
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except Exception as error:
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row["errors"]["judge"] = str(error)[:300]
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if provider_blocked(error):
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raise ProviderBlocked(row) from error
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return row
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def digest(path: Path) -> str:
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return hashlib.sha256(path.read_bytes()).hexdigest()
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@@ -106,8 +133,9 @@ def execute(args, items, settings) -> int:
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if args.out.exists():
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rows = [json.loads(x) for x in args.out.read_text(encoding="utf-8").splitlines() if x.strip()]
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ids = {item["id"] for item in items}
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done = {row["id"] for row in rows}
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if len(done) != len(rows) or not done <= ids:
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by_id = {row["id"]: row for row in rows}
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done = {row["id"] for row in rows if complete_row(row)}
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if len(by_id) != len(rows) or not set(by_id) <= ids:
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raise ValueError("Results have duplicate or unknown item IDs")
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hashes = {
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"source": hashlib.sha256((srcsimplex.SYSTEM_PROMPT + inspect.getsource(srcsimplex.passage_prompt)).encode()).hexdigest(),
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@@ -129,11 +157,24 @@ def execute(args, items, settings) -> int:
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elif rows:
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raise ValueError("Cannot resume results without their audit metadata")
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todo = [item for item in items if item["id"] not in done]
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missing = sum(2 - int("role" in by_id.get(i["id"], {}))
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- int("judge" in by_id.get(i["id"], {})) for i in todo)
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print(f"items={len(items)} done={len(done)} todo={len(todo)} model={settings.llm.model} "
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f"nominal_calls={len(todo) * 2} request_attempts={meta['request_attempts']} cap={args.max_calls}")
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f"missing_components={missing} request_attempts={meta['request_attempts']} cap={args.max_calls}")
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print("prompt_hashes:", json.dumps(hashes))
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if args.dry_run:
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return 0
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if getattr(args, "audit_only", False):
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meta["completed_items"] = len(done)
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meta["processed_items"] = len(rows)
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meta["status"] = ("provider_blocked" if any(provider_blocked(RuntimeError(message))
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for row in rows for message in row.get("errors", {}).values())
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else "detector_errors" if todo else "complete")
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if args.out.exists():
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meta["results_sha256"] = digest(args.out)
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atomic_json(meta_path, meta)
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print(json.dumps(meta))
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return 0 if meta["status"] == "complete" else 2
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if settings.llm.model != "qwen-max" or settings.llm.temperature != 0:
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raise ValueError("P0 is preregistered for qwen-max at temperature 0")
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client = AuditedClient.from_settings(settings.llm)
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@@ -142,6 +183,7 @@ def execute(args, items, settings) -> int:
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def checkpoint():
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meta["usage"] = client.usage.as_dict()
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meta["completed_items"] = len(done)
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meta["processed_items"] = len(by_id)
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atomic_json(meta_path, meta)
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def reserve():
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@@ -155,19 +197,30 @@ def execute(args, items, settings) -> int:
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meta["max_calls"] = args.max_calls
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meta["status"] = "running"
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checkpoint()
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def save_row(row):
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by_id[row["id"]] = row
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if complete_row(row):
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done.add(row["id"])
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temporary = args.out.with_suffix(args.out.suffix + ".tmp")
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with temporary.open("w", encoding="utf-8") as stream:
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for item in items:
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if item["id"] in by_id:
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stream.write(json.dumps(by_id[item["id"]], ensure_ascii=False) + "\n")
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stream.flush()
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os.fsync(stream.fileno())
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os.replace(temporary, args.out)
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checkpoint()
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try:
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with args.out.open("a", encoding="utf-8") as stream:
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for item in todo:
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row = run_item(client, item)
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stream.write(json.dumps(row, ensure_ascii=False) + "\n")
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stream.flush()
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os.fsync(stream.fileno())
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done.add(item["id"])
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checkpoint()
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print(f"completed={len(done)}/{len(items)} requests={meta['request_attempts']}", flush=True)
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meta["status"] = "complete"
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except CallBudgetExceeded as error:
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meta["status"] = "budget_exhausted"
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for item in todo:
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row = run_item(client, item, by_id.get(item["id"]))
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save_row(row)
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print(f"completed={len(done)}/{len(items)} requests={meta['request_attempts']}", flush=True)
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meta["status"] = "complete" if len(done) == len(items) else "detector_errors"
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except (CallBudgetExceeded, ProviderBlocked) as error:
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if getattr(error, "row", None) is not None:
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save_row(error.row)
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meta["status"] = "provider_blocked" if isinstance(error, ProviderBlocked) else "budget_exhausted"
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print(str(error), file=sys.stderr)
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except BaseException:
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meta["status"] = "interrupted"
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@@ -186,6 +239,7 @@ def main() -> int:
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ap.add_argument("--out", required=True, type=Path)
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ap.add_argument("--max-calls", type=int, default=400)
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ap.add_argument("--dry-run", action="store_true")
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ap.add_argument("--audit-only", action="store_true", help="Reconcile saved state without making API calls")
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ap.add_argument("--labels", type=Path, help="Frozen labels; their hash is bound to the run")
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args = ap.parse_args()
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if not 1 <= args.max_calls <= 400:
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Block a user