732642856
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""Classify local vs jyotishganit comparison mismatches without resolving truth."""
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from __future__ import annotations
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import json
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT = ROOT / "references/oracle/jyotishganit_vs_local_field_comparison_steve_jobs_2026_07_19.json"
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def classify(row: dict) -> dict:
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section = row["section"]
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body = row["body"]
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reason = "needs_formula_variant_review"
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owner = "varga_formula_attribution"
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if section == "D4":
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reason = "schema_alias_or_formula_variant"
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owner = "D4_Turyamsa_Chaturthamsa_alias_and_formula"
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if section == "D10" and body in {"Rahu", "Ketu"}:
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reason = "node_mode_or_shadow_planet_handling"
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owner = "node_mode_mapping"
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return {
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**row,
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"attribution_status": "queued",
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"probable_reason": reason,
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"next_evidence_owner": owner,
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"claim_boundary": "Do not tune local formula to jyotishganit until source formula, ayanamsa, node mode, and schema aliases are pinned.",
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}
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def build(path: Path = DEFAULT) -> dict:
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data = json.loads(path.read_text(encoding="utf-8"))
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mismatches = [classify(r) for r in data["rows"] if r["status"] == "mismatch"]
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return {
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"scope": "jyotishganit_mismatch_attribution_queue",
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"created_at": "2026-07-19",
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"status": "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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"source_comparison": str(path.relative_to(ROOT)),
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"summary": {
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"mismatch_count": len(mismatches),
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"by_reason": {
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reason: sum(1 for r in mismatches if r["probable_reason"] == reason)
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for reason in sorted({r["probable_reason"] for r in mismatches})
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},
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},
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"rows": mismatches,
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"boundary": "This queue classifies mismatch work; it does not settle formula truth.",
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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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