152 lines
6.1 KiB
Python
152 lines
6.1 KiB
Python
#!/usr/bin/env python3
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"""Generate a Tajika/Sahams annual benchmark dashboard for the Jyotish skill."""
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from __future__ import annotations
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import argparse
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import json
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import subprocess
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import sys
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from datetime import datetime, timezone
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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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PYTHON = sys.executable
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def _run_json(command: list[str]) -> dict[str, Any]:
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completed = subprocess.run(
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command,
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cwd=ROOT,
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text=True,
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capture_output=True,
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timeout=60,
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check=False,
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)
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if completed.returncode != 0:
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raise RuntimeError(completed.stderr.strip() or completed.stdout.strip())
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return json.loads(completed.stdout)
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def build_dashboard(oracle_file: str) -> dict[str, Any]:
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queue = _run_json([PYTHON, "scripts/tajika_annual_oracle_queue.py", "--oracle-file", oracle_file, "--format", "json"])
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summary = queue["summary"]
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next_task = next((task for task in queue["tasks"] if not task["ready_for_calibration"]), None)
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next_case = next_task["case_id"] if next_task else None
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can_claim_closure = bool(summary["total_tasks"] and summary["ready_for_calibration"] == summary["total_tasks"])
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production_tuning_allowed = False
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if can_claim_closure:
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remaining_gap = (
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"The current annual external-oracle target set is closed. The remaining gap is broader "
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"public sample breadth, stronger Year Lord/Muntha/Mudda Dasha/Sahams judgment templates, "
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"and multi-year annual interpretation comparisons before any traditional-software-grade "
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"predictive claim."
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)
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annual_reason = (
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"The current packet set is externally closed, but that only closes the present annual "
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"evidence target set. Broader annual judgment maturity still remains open."
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)
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next_actions = [
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"Keep Tajika/Sahams annual closure in active_target_set_closed status instead of overstating it as full predictive closure.",
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"Freeze deeper annual judgment templates around Muntha, Year Lord, Mudda Dasha and Sahams.",
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"Add broader public benchmark rows, especially multi-year printed Varshaphala examples and second-wave edge cases.",
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"Do not treat local annual output alone as permission for production tuning or hard annual prediction claims.",
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]
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else:
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remaining_gap = (
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"Solar return exact time, Varsha Lagna, Muntha, Year Lord, Mudda Dasha first lord, "
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"Sahams and Tajika Yogas still need external JHora/PyJHora/book-example evidence before "
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"the Jyotish skill can claim Tajika/Sahams annual closure."
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)
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annual_reason = (
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"Do not claim annual-chart closure until every template row is promoted to "
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"external_verified with human-reviewable artifacts."
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)
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next_actions = [
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(
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f"Fill the next annual evidence packet from JHora or PyJHora: {next_case}."
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if next_case
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else "All annual evidence packets are filled; review tolerance checks before any production tuning."
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),
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"Add solar return datetime and Varsha Lagna tolerance checks after the first external row exists.",
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"Add Saham-specific tolerance checks for Punya, Rajya and Vivah Saham.",
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"Expand the annual benchmark with at least one printed Varshaphala example.",
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]
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return {
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"scope": "tajika_sahams_annual_benchmark_dashboard",
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"schema_version": 1,
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"generated_at": datetime.now(timezone.utc).isoformat(),
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"summary": {
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"total_tasks": summary["total_tasks"],
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"ready_for_collection": summary["ready_for_collection"],
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"ready_for_calibration": summary["ready_for_calibration"],
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"production_tuning_allowed": production_tuning_allowed,
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"by_status": summary["by_status"],
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},
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"annual_claim": {
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"can_claim_tajika_sahams_closure": can_claim_closure,
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"reason": annual_reason,
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},
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"remaining_gap": remaining_gap,
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"first_priority": next_task,
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"next_actions": next_actions,
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}
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def render_markdown(report: dict[str, Any]) -> str:
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summary = report["summary"]
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claim = report["annual_claim"]
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lines = [
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"# Tajika/Sahams Annual Benchmark Dashboard",
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"",
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f"Generated: `{report['generated_at']}`",
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"",
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"## Annual Oracle Readiness",
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"",
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f"- total_tasks: `{summary['total_tasks']}`",
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f"- ready_for_collection: `{summary['ready_for_collection']}`",
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f"- ready_for_calibration: `{summary['ready_for_calibration']}`",
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f"- production_tuning_allowed: `{str(summary['production_tuning_allowed']).lower()}`",
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"",
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"## Annual Closure Claim",
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"",
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f"- can_claim_tajika_sahams_closure: `{str(claim['can_claim_tajika_sahams_closure']).lower()}`",
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f"- reason: {claim['reason']}",
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"",
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"## Remaining Gap",
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"",
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report["remaining_gap"],
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"",
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"## Next Actions",
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"",
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]
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lines.extend(f"- {item}" for item in report["next_actions"])
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lines.append("")
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return "\n".join(lines)
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def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
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parser = argparse.ArgumentParser(description="Generate Tajika/Sahams annual benchmark dashboard")
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parser.add_argument("--oracle-file", default="references/oracle/tajika_annual_oracle_cases.json")
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parser.add_argument("--format", choices=["json", "markdown"], default="json")
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parser.add_argument("--output", help="Optional output path")
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return parser.parse_args(argv)
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def main(argv: list[str] | None = None) -> int:
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args = parse_args(argv)
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report = build_dashboard(args.oracle_file)
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text = json.dumps(report, ensure_ascii=False, indent=2) if args.format == "json" else render_markdown(report)
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if args.output:
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output = Path(args.output)
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output.parent.mkdir(parents=True, exist_ok=True)
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output.write_text(text, encoding="utf-8")
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print(text)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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