732642856
62 lines
2.4 KiB
Python
62 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""Summarize reviewable PyJHora comparison matrices without overstating coverage."""
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from __future__ import annotations
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import argparse
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import csv
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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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REQUIRED_FULL_PARITY = ("D1", "D9", "D10", "D2", "D4", "Vimshottari", "Shadbala", "Ashtakavarga")
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MATRIX_SECTION_MAP = {"ascendant": "D1", "planet": "D1", "dasha": "Vimshottari", "D9": "D9", "D10": "D10"}
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def summarize_matrix(path: str | Path, *, settings: dict[str, Any]) -> dict[str, Any]:
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path = Path(path)
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rows = list(csv.DictReader(path.open(encoding="utf-8")))
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status_counts = Counter(str(row.get("status") or "unknown") for row in rows)
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sections: dict[str, dict[str, int]] = defaultdict(lambda: {"total": 0, "match": 0, "mismatch": 0})
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covered = set()
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for row in rows:
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section = MATRIX_SECTION_MAP.get(str(row.get("section") or ""))
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if not section:
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continue
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covered.add(section)
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sections[section]["total"] += 1
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if row.get("status") == "match":
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sections[section]["match"] += 1
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elif row.get("status") == "mismatch":
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sections[section]["mismatch"] += 1
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missing = [field for field in REQUIRED_FULL_PARITY if field not in covered]
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return {
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"scope": "pyjhora_same_chart_parity_summary",
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"matrix_path": str(path),
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"tested": bool(rows),
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"settings": settings,
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"row_counts": dict(status_counts),
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"coverage": dict(sorted(sections.items())),
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"covered_outputs": sorted(covered),
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"missing_required_outputs": missing,
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"status": "partial_verified" if rows and not status_counts.get("mismatch") else "partial_mismatch",
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"full_parity_verified": not missing and not status_counts.get("mismatch"),
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"boundary": "Only covered outputs are compared. This summary cannot promote full parity while required outputs are absent.",
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}
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("matrix")
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parser.add_argument("--ayanamsa", default="lahiri")
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parser.add_argument("--node-mode", default="mean", choices=["mean", "true"])
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args = parser.parse_args()
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print(json.dumps(summarize_matrix(args.matrix, settings={"ayanamsa": args.ayanamsa, "node_mode": args.node_mode}), ensure_ascii=False, indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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