732642856
93 lines
3.2 KiB
Python
93 lines
3.2 KiB
Python
#!/usr/bin/env python3
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"""Classify Muhurta factor-scoring readiness from existing OSS/local queues."""
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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 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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QUEUE = ROOT / "references/oracle/muhurta_oss_factor_scoring_queue_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 readiness(status: str) -> tuple[str, list[str]]:
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if status == "oss_surface_present":
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return (
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"reference_surface_only",
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["license verification", "formula weights", "public worked example", "same-input replay"],
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)
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if status == "local_probe_present_needs_oss_formula_alignment":
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return (
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"local_probe_needs_formula_alignment",
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["OSS/public formula alignment", "factor weighting rule", "public worked example"],
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)
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if status == "local_probe_present_needs_public_interval_fixture":
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return (
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"local_probe_needs_public_interval_fixture",
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["date/location fixture", "sunrise/sunset source", "expected public interval", "raw/hash"],
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)
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return ("blocked_unknown_status", ["manual review"])
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def build() -> dict[str, Any]:
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queue = json.loads(QUEUE.read_text(encoding="utf-8"))
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rows = []
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for item in queue["factor_rows"]:
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state, missing = readiness(item["status"])
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rows.append(
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{
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"factor": item["factor"],
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"source_status": item["status"],
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"claim": item["claim"],
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"readiness": state,
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"missing_for_scored_verdict": missing,
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"allowed_product_use": (
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"supporting_context_only"
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if state != "blocked_unknown_status"
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else "hidden_until_review"
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),
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}
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)
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summary = {
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"factor_count": len(rows),
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"supporting_context_only_count": sum(
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1 for row in rows if row["allowed_product_use"] == "supporting_context_only"
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),
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"scored_verdict_ready_count": 0,
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"blocked_unknown_status_count": sum(
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1 for row in rows if row["readiness"] == "blocked_unknown_status"
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),
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}
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return {
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"scope": "muhurta_factor_scoring_readiness",
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"created_at": "2026-07-19",
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"status": "readiness_ledger_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_queue": str(QUEUE.relative_to(ROOT)),
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"summary": summary,
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"readiness_hash": hashlib.sha256(stable_json(rows).encode("utf-8")).hexdigest(),
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"rows": rows,
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"boundary": (
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"Muhurta factors may appear as supporting context only. No final "
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"scored Muhurta verdict is ready until formulas, weights, public "
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"worked examples, and raw/hash replay close."
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),
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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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