732642856
119 lines
4.1 KiB
Python
119 lines
4.1 KiB
Python
#!/usr/bin/env python3
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"""Probe local VedicAstro KP API surface in isolation.
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Does not require dependencies to be present. If import/runtime is unavailable,
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returns a blocked observation artifact with source hashes.
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"""
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from __future__ import annotations
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import hashlib
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import importlib.metadata
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import json
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import sys
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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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SRC = ROOT / "references/open_source_sources/VedicAstro"
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API = SRC / "vedicastro/VedicAstro.py"
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def sha256(path: Path) -> str | None:
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return hashlib.sha256(path.read_bytes()).hexdigest() if path.exists() else None
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def _package_version(name: str) -> str | None:
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try:
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return importlib.metadata.version(name)
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except importlib.metadata.PackageNotFoundError:
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return None
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def main() -> int:
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payload: dict[str, Any] = {
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"scope": "vedicastro_kp_api_probe",
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"created_at": "2026-07-19",
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"status": "blocked_or_partial",
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"claim_status": "observation_only",
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"production_tuning_allowed": False,
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"truth_matrix_allowed": False,
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"source_path": str(API.relative_to(ROOT)),
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"source_sha256": sha256(API),
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"api_surface": {
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"class": "VedicHoroscopeData",
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"methods": [
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"get_rl_nl_sl_data",
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"get_planets_data_from_chart",
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"get_houses_data_from_chart",
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"generate_chart",
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],
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"fields": [
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"Nakshatra",
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"NakshatraLord",
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"SubLord",
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"SubSubLord",
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"house_sub_lord",
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"house_ss_lord",
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],
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},
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"dependency_identity": {
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"flatlib": {"version": _package_version("flatlib")},
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"polars": {"version": _package_version("polars")},
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"timezonefinder": {"version": _package_version("timezonefinder")},
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"required_flatlib_source": "git+https://github.com/diliprk/flatlib.git@sidereal",
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"observed_pinned_flatlib_commit": "2618c348ce1ab2588548f935ff65f031630b4872",
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},
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"runtime_probe": {"attempted": True},
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"boundary": "Source/API surface hash only unless runtime dependencies and public numeric KP worked examples are both available.",
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}
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try:
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sys.path.insert(0, str(SRC))
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from flatlib import const as flatlib_const # type: ignore
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from vedicastro.VedicAstro import VedicHoroscopeData # type: ignore
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cls = VedicHoroscopeData
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ayanamsa_constants = [
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name for name in ("AY_LAHIRI", "AY_KRISHNAMURTI") if hasattr(flatlib_const, name)
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]
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sample = cls(
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1955,
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2,
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24,
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19,
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15,
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0,
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37.3382,
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-122.0383,
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tz="America/Los_Angeles",
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ayanamsa="Krishnamurti",
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house_system="Placidus",
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).get_rl_nl_sl_data(0.0)
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payload["runtime_probe"] = {
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"attempted": True,
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"import_status": "success",
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"class_present": cls is not None,
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"method_present": bool(cls and hasattr(cls, "get_rl_nl_sl_data")),
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"sidereal_ayanamsa_constants_present": ayanamsa_constants,
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"sample_degree": 0.0,
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"sample_rl_nl_sl": sample,
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}
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payload["status"] = "partial_runtime_surface_available"
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payload[
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"boundary"
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] = "KP Rashi/Nakshatra/Sub/SubSub API surface is callable in an isolated dependency path; this is still observation_only until public numeric KP worked examples and replay hashes are archived."
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except Exception as exc: # dependency/import errors are expected in clean envs
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payload["runtime_probe"] = {
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"attempted": True,
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"import_status": "blocked",
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"error_type": type(exc).__name__,
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"error": str(exc),
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}
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payload["status"] = "blocked_runtime_import"
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print(json.dumps(payload, 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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