Files
Jyotisha/scripts/tajika_annual_benchmark_dashboard.py
2026-07-01 21:35:15 +08:00

152 lines
6.1 KiB
Python

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