research(rectification): holdout v5 baseline runner and schema tests

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017eEAG8HD3mm8gsKXgk8uU8
This commit is contained in:
Jesse_Chen
2026-09-29 19:52:18 +08:00
co-authored by Claude Fable 5.1
parent 313012ea1a
commit 57118b2697
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#!/usr/bin/env python3
"""Baseline scorecard for a holdout dataset (v4 subset check / v5 full set).
Runs the production scoring (variant "baseline" only) through the three existing
research harnesses without modifying them:
* minute_resolution_sweep five metrics + six-question replay (head hit)
* cluster_width_probe six-question replay under the live unionStillValidRange
* futile_collect_stop_replay truth / opposite six-cell coverage and width
The harnesses hard-code the v4 dataset and the 2026-09-14 report paths as module
constants; this runner points them at the requested dataset and at its own output
files, so the published 09-14 / 09-26 documents are never rewritten.
Usage:
python scripts/research/holdout_v5_baseline.py --dataset v5 # full v5
python scripts/research/holdout_v5_baseline.py --dataset v5 --case-filter inherited # v4 subset inside v5
python scripts/research/holdout_v5_baseline.py --dataset v4 --out-dir /tmp/x # published-number check
"""
from __future__ import annotations
import argparse
import json
import sys
import time
import traceback
from pathlib import Path
from typing import Any
ROOT = Path(__file__).resolve().parents[2]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from scripts.research import cluster_width_probe as cwp # noqa: E402
from scripts.research import futile_collect_stop_replay as fcs # noqa: E402
from scripts.research import guided_collect_holdout_replay as gch # noqa: E402
from scripts.research import minute_resolution_sweep as mrs # noqa: E402
CAL = ROOT / "references" / "real_case_calibration"
DATASETS = {
"v4": CAL / "minute_rectification_holdout_v4.json",
"v5": CAL / "minute_rectification_holdout_v5.json",
}
DEFAULT_OUT = ROOT / "docs" / "research"
RADII = (10, 30, 60)
def filtered_dataset(path: Path, case_filter: str | None, out_dir: Path) -> Path:
"""Write a filtered copy of the dataset so every harness sees the same case list."""
payload = json.loads(path.read_text(encoding="utf-8"))
cases = list(payload.get("cases") or [])
if case_filter == "inherited":
cases = [c for c in cases if c.get("inherited_from_v4")]
elif case_filter == "new":
cases = [c for c in cases if not c.get("inherited_from_v4")]
payload["cases"] = cases
# The harnesses record HOLDOUT relative to the repository root, so the working
# copy must live inside the repository; it is removed once the run finishes.
target = CAL / f"_holdout_v5_baseline_tmp_{path.stem}_{case_filter or 'all'}.json"
target.write_text(json.dumps(payload, ensure_ascii=False, indent=1) + "\n", encoding="utf-8")
return target
def baseline_only(module: Any) -> None:
module.all_variants = lambda: [module.Variant("baseline")]
def run_sweep(dataset: Path, out_dir: Path, tag: str, radii: tuple[int, ...]) -> dict[str, Any]:
mrs.HOLDOUT = dataset
mrs.REPORT_MD = out_dir / f"holdout_v5_baseline_sweep_{tag}.md"
mrs.REPORT_JSON = out_dir / f"holdout_v5_baseline_sweep_{tag}.json"
baseline_only(mrs)
payload = mrs.run(argparse.Namespace(limit=0, radii=[str(r) for r in radii], quick=False))
return {"baseline": payload["baseline"], "case_count": payload["case_count"], "errors": payload["errors"]}
def run_cluster_width(dataset: Path, out_dir: Path, tag: str, radii: tuple[int, ...]) -> dict[str, Any]:
cwp.HOLDOUT = dataset
cwp.REPORT_MD = out_dir / f"holdout_v5_baseline_cluster_width_{tag}.md"
cwp.REPORT_JSON = out_dir / f"holdout_v5_baseline_cluster_width_{tag}.json"
baseline_only(cwp)
payload = cwp.run(argparse.Namespace(limit=0, radii=[str(r) for r in radii]))
replay = {
str(radius): payload["by_radius"][str(radius)]["baseline"].get("replay")
for radius in radii
if str(radius) in payload["by_radius"]
}
return {"replay": replay, "case_count": payload["case_count"], "errors": payload.get("errors", [])}
def run_futile(dataset: Path, radii: tuple[int, ...]) -> dict[str, Any]:
gch.HOLDOUT = dataset
cases = gch.load_cases()
rows: list[dict[str, Any]] = []
for case in cases:
for radius in radii:
for direction in ("truth", "opposite"):
try:
rows.append(fcs.evaluate_case(case, radius, direction))
except Exception as exc: # noqa: BLE001
rows.append({
"case_id": case.get("case_id"), "radius": radius, "direction": direction,
"error": f"{type(exc).__name__}: {exc}", "trace": traceback.format_exc(limit=6),
})
summaries = [fcs.summarize(rows, radius, direction) for radius in radii for direction in ("truth", "opposite")]
return {
"summaries": summaries,
"errors": [row for row in rows if row.get("error")],
"case_count": len(cases),
}
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--dataset", choices=sorted(DATASETS), default="v5")
parser.add_argument("--case-filter", choices=["inherited", "new"], default=None)
parser.add_argument("--out-dir", default=str(DEFAULT_OUT))
parser.add_argument("--radii", default=",".join(str(r) for r in RADII))
parser.add_argument("--skip", default="", help="comma list of harnesses to skip: sweep,cluster,futile")
parser.add_argument("--json-out", default=None)
args = parser.parse_args()
out_dir = Path(args.out_dir)
out_dir.mkdir(parents=True, exist_ok=True)
radii = tuple(int(item) for item in args.radii.split(",") if item.strip())
skip = {item.strip() for item in args.skip.split(",") if item.strip()}
tag = f"{args.dataset}_{args.case_filter or 'all'}"
dataset = filtered_dataset(DATASETS[args.dataset], args.case_filter, out_dir)
started = time.perf_counter()
result: dict[str, Any] = {
"dataset": str(DATASETS[args.dataset].relative_to(ROOT)).replace("\\", "/"),
"case_filter": args.case_filter,
"radii": list(radii),
"variant": "baseline (production scoring, no research variants)",
"ayanamsa": "raman",
"node_mode": "mean",
}
if "sweep" not in skip:
result["sweep"] = run_sweep(dataset, out_dir, tag, radii)
print("sweep done", json.dumps(result["sweep"]["baseline"]), flush=True)
if "cluster" not in skip:
result["cluster_width"] = run_cluster_width(dataset, out_dir, tag, radii)
print("cluster_width done", json.dumps(result["cluster_width"]["replay"]), flush=True)
if "futile" not in skip:
result["futile_collect"] = run_futile(dataset, radii)
print("futile done", json.dumps(result["futile_collect"]["summaries"]), flush=True)
result["elapsed_s"] = round(time.perf_counter() - started, 1)
json_out = Path(args.json_out) if args.json_out else out_dir / f"holdout_v5_baseline_{tag}_2026_09_29.json"
json_out.write_text(json.dumps(result, ensure_ascii=True, indent=2) + "\n", encoding="utf-8")
dataset.unlink(missing_ok=True)
print(f"wrote {json_out} elapsed={result['elapsed_s']}s")
return 0
if __name__ == "__main__":
sys.exit(main())
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"""Schema and provenance checks for the holdout v5 open evaluation set.
Public Rodden-AA biographies only. The dataset is research data; these tests do not
touch scoring and never read private material.
"""
from __future__ import annotations
import json
import re
from collections import Counter
from pathlib import Path
import pytest
ROOT = Path(__file__).resolve().parents[1]
CAL = ROOT / "references" / "real_case_calibration"
V4 = CAL / "minute_rectification_holdout_v4.json"
V5 = CAL / "minute_rectification_holdout_v5.json"
ROSTER = CAL / "holdout_v5_roster.json"
EVENTS = CAL / "minute_rectification_holdout_v5_events.json"
DOMAINS = {"education", "relocation", "relationship", "career", "finance", "health_pressure", "family", "appearance", "occupation"}
DATE_RE = {"year": re.compile(r"^\d{4}$"), "month": re.compile(r"^\d{4}-\d{2}$"), "day": re.compile(r"^\d{4}-\d{2}-\d{2}$")}
@pytest.fixture(scope="module")
def v5() -> dict:
return json.loads(V5.read_text(encoding="utf-8"))
@pytest.fixture(scope="module")
def v4() -> dict:
return json.loads(V4.read_text(encoding="utf-8"))
def test_gate_counts(v5: dict) -> None:
gate = v5["minimum_gate"]
assert gate == {"public_aa_cases": 60, "events_per_case": 7, "domains_per_case": 4}
assert len(v5["cases"]) >= gate["public_aa_cases"]
for case in v5["cases"]:
events = case["events"]
domains = {event["domain"] for event in events}
assert len(events) >= gate["events_per_case"], case["case_id"]
assert len(domains) >= gate["domains_per_case"], case["case_id"]
def test_calculation_profile_matches_v4(v5: dict, v4: dict) -> None:
assert v5["ayanamsa"] == v4["ayanamsa"] == "raman"
assert v5["node_mode"] == v4["node_mode"] == "mean"
assert v5["candidate_radii_minutes"] == [10, 30, 60]
assert v5["truth_hidden_from_ranker"] is False
assert v5["minute_step"] == 2
def test_v4_cases_are_inherited_verbatim(v5: dict, v4: dict) -> None:
by_id = {case["case_id"]: case for case in v5["cases"]}
for original in v4["cases"]:
inherited = by_id[original["case_id"]]
assert inherited["inherited_from_v4"] is True
assert inherited["birth"] == original["birth"]
assert inherited["events"] == original["events"]
assert inherited["true_minute"] == original["true_minute"]
assert inherited["false_minute_offsets"] == original["false_minute_offsets"]
assert sum(1 for case in v5["cases"] if case["inherited_from_v4"]) == len(v4["cases"])
def test_case_ids_unique_and_birth_records_complete(v5: dict) -> None:
ids = [case["case_id"] for case in v5["cases"]]
assert len(ids) == len(set(ids))
for case in v5["cases"]:
birth = case["birth"]
assert re.match(r"^\d{4}-\d{2}-\d{2}$", birth["date"]), case["case_id"]
assert re.match(r"^\d{2}:\d{2}$", birth["time"]), case["case_id"]
assert isinstance(birth["latitude"], (int, float)) and -90 <= birth["latitude"] <= 90
assert isinstance(birth["longitude"], (int, float)) and -180 <= birth["longitude"] <= 180
assert isinstance(birth["timezone_offset"], (int, float))
assert birth["source"]["rodden_rating"] == "AA", case["case_id"]
# v4 rows cite Astro-Databank's adbvip pages; v5 rows cite the wiki record page.
assert birth["source"]["url"].startswith("https://www.astro.com/"), case["case_id"]
assert birth["source"]["publisher"] == "Astro-Databank", case["case_id"]
assert case["true_minute"] == birth["time"]
def test_new_cases_carry_checks_and_quoted_events(v5: dict) -> None:
new_cases = [case for case in v5["cases"] if not case["inherited_from_v4"]]
assert new_cases, "v5 must add cases beyond v4"
for case in new_cases:
checks = case["checks"]
assert checks["timezone_agrees"] is True, case["case_id"]
assert checks["timezone_rule"] in {"zoneinfo_match", "standard_time_kept_dst_disagreement", "lmt_from_birthplace_longitude"}
assert checks["place_distance_km"] is not None and checks["place_distance_km"] <= 60, case["case_id"]
assert case["birth"]["source"]["verified_via"]["url"].startswith("https://"), case["case_id"]
for event in case["events"]:
source = event["source"]
assert source["independent_of_birth_source"] is True
assert source["url"].startswith("https://en.wikipedia.org/wiki/")
assert len(source["quote"]) >= 20, event["id"]
def test_events_domains_dates_and_precision(v5: dict) -> None:
for case in v5["cases"]:
seen: set[str] = set()
for event in case["events"]:
assert event["domain"] in DOMAINS, event["id"]
assert event["precision"] in DATE_RE, event["id"]
assert DATE_RE[event["precision"]].match(str(event["date"])), (event["id"], event["date"])
assert event["id"] not in seen
seen.add(event["id"])
assert int(str(event["date"])[:4]) >= int(case["birth"]["date"][:4]), event["id"]
def test_strata_and_summary_agree(v5: dict) -> None:
cases = v5["cases"]
summary = v5["summary"]
assert summary["cases"] == len(cases)
assert summary["events_total"] == sum(len(case["events"]) for case in cases)
assert summary["southern_hemisphere"] == sum(1 for case in cases if case["birth"]["latitude"] < 0)
assert summary["night_birth_22_to_02"] == sum(1 for case in cases if case["strata"]["night_birth_22_to_02"])
assert summary["utc_plus_8"] == sum(1 for case in cases if abs(case["birth"]["timezone_offset"] - 8.0) < 0.01)
assert len(summary["decades"]) >= 3
assert set(summary["latitude_bands"]) == {"lt25", "25to45", "gt45"}
assert summary["southern_hemisphere"] >= 8
assert summary["night_birth_22_to_02"] >= 6
precision = Counter(event["precision"] for case in cases for event in case["events"])
assert precision == Counter(summary["events_by_precision"])
def test_roster_and_events_files_match_dataset(v5: dict) -> None:
roster = json.loads(ROSTER.read_text(encoding="utf-8"))
events = json.loads(EVENTS.read_text(encoding="utf-8"))
new_ids = {case["case_id"] for case in v5["cases"] if not case["inherited_from_v4"]}
assert {row["case_id"] for row in roster["cases"]} == new_ids
assert set(events) == new_ids
for case in v5["cases"]:
if case["inherited_from_v4"]:
continue
assert sorted(events[case["case_id"]]["events"], key=lambda e: (e["date"], e["id"])) == case["events"]
def test_build_is_deterministic(tmp_path: Path) -> None:
from scripts.research import holdout_v5_build as build
payload, problems = build.build(build.load(V4), build.load(ROSTER), build.load(EVENTS))
assert problems == []
rendered = json.dumps(payload, ensure_ascii=False, indent=1) + "\n"
assert rendered == V5.read_text(encoding="utf-8")