sync: import closure and audit queue utilities
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#!/usr/bin/env python3
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"""Build field-level Shadbala component closure tickets from same-unit rows."""
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from __future__ import annotations
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import hashlib
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import json
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from collections import Counter, defaultdict
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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SAME_UNIT = ROOT / "references/oracle/shadbala_same_unit_normalizer_2026_07_19.json"
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SOURCE_KB = ROOT / "references/oracle/formula_source_knowledge_base_2026_07_19.json"
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def stable_json(data: Any) -> str:
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return json.dumps(data, ensure_ascii=False, sort_keys=True, separators=(",", ":"), default=str)
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def source_by_component() -> dict[str, dict[str, Any]]:
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raw = json.loads(SOURCE_KB.read_text(encoding="utf-8"))
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out: dict[str, dict[str, Any]] = {}
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for formula in raw.get("formulas", []):
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if formula.get("family") == "Shadbala" and formula.get("component") not in {"total", None}:
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out[formula["component"]] = formula
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return out
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def owner_for(classification: str) -> str:
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if classification == "within_1_virupa_observation":
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return "ready_for_tolerance_freeze"
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if classification == "method_variant":
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return "method_variant_decision"
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if classification == "formula_or_unit_mismatch":
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return "formula_source_arbitration"
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return "worked_example_numeric_oracle"
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def closure_for(classification: str) -> str:
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if classification == "within_1_virupa_observation":
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return "same_unit_observation_ready_tolerance_not_frozen"
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if classification == "method_variant":
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return "method_variant_unresolved"
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if classification == "formula_or_unit_mismatch":
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return "formula_or_unit_mismatch_unresolved"
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return "insufficient_numeric_sources"
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def required_evidence(classification: str) -> list[str]:
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common = [
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"public numeric worked example with birth data/settings",
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"explicit Virupa/Rupa unit declaration",
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]
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if classification == "method_variant":
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return common + ["variant selection note: preserve method_variant if authoritative sources diverge"]
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if classification == "formula_or_unit_mismatch":
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return common + ["component formula/source arbitration across local, jyotishganit, Xalen, VP Jain"]
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if classification == "within_1_virupa_observation":
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return common + ["freeze tolerance and add second public case before parity upgrade"]
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return common + ["recover missing numeric raw/hash"]
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def build() -> dict[str, Any]:
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same_unit = json.loads(SAME_UNIT.read_text(encoding="utf-8"))
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sources = source_by_component()
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tickets: list[dict[str, Any]] = []
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for row in same_unit["rows"]:
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component = row["component"]
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source = sources.get(component, {})
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classification = row["classification"]
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tickets.append(
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{
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"ticket_id": f"shadbala.{row['planet'].lower()}.{component}",
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"planet": row["planet"],
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"component": component,
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"canonical_component": row["canonical_component"],
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"same_unit_classification": classification,
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"closure_status": closure_for(classification),
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"next_evidence_owner": owner_for(classification),
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"unit_contract": source.get("unit_contract", "Virupa/Rupa unit source required."),
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"known_variants": source.get("known_variants", []),
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"source_evidence": source.get("source_evidence", []),
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"required_evidence": required_evidence(classification),
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"normalized_values_virupa": {
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"jyotishganit": row.get("jyotishganit_virupa"),
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"xalen": row.get("xalen_virupa"),
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"local": row.get("local_from_xalen_report_virupa"),
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"vp_jain_published": row.get("vp_jain_published_virupa"),
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"vp_jain_local": row.get("vp_jain_local_virupa"),
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},
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"claim_boundary": (
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"Do not promote this component row to absolute parity until formula variant, "
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"unit contract, and public numeric worked example all close."
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),
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}
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)
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counts = Counter(ticket["same_unit_classification"] for ticket in tickets)
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by_component: dict[str, Counter[str]] = defaultdict(Counter)
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for ticket in tickets:
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by_component[ticket["component"]][ticket["same_unit_classification"]] += 1
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component_hotspots = []
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for component in sorted(by_component):
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c = by_component[component]
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component_hotspots.append(
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{
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"component": component,
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"ticket_count": sum(c.values()),
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"within_1_virupa_observation_count": c["within_1_virupa_observation"],
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"method_variant_count": c["method_variant"],
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"formula_or_unit_mismatch_count": c["formula_or_unit_mismatch"],
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"insufficient_numeric_sources_count": c["insufficient_numeric_sources"],
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}
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)
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return {
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"scope": "shadbala_component_closure_queue_v2",
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"created_at": "2026-07-19",
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"status": "field_level_queue_ready",
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"claim_status": "partial",
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"production_tuning_allowed": False,
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"truth_matrix_allowed": False,
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"sources": {
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"same_unit_matrix": str(SAME_UNIT.relative_to(ROOT)),
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"formula_source_knowledge_base": str(SOURCE_KB.relative_to(ROOT)),
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},
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"summary": {
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"ticket_count": len(tickets),
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"within_1_virupa_observation_count": counts["within_1_virupa_observation"],
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"method_variant_count": counts["method_variant"],
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"formula_or_unit_mismatch_count": counts["formula_or_unit_mismatch"],
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"insufficient_numeric_sources_count": counts["insufficient_numeric_sources"],
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"absolute_parity_ready_count": 0,
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},
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"queue_hash": hashlib.sha256(stable_json(tickets).encode("utf-8")).hexdigest(),
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"component_hotspots": component_hotspots,
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"tickets": tickets,
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"boundary": "Field-level Shadbala closure queue only; no majority-vote truth or production tuning upgrade.",
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}
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def main() -> int:
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print(json.dumps(build(), ensure_ascii=False, indent=2, sort_keys=True))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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