361 lines
14 KiB
Python
361 lines
14 KiB
Python
#!/usr/bin/env python3
|
|
"""Capture a public same-chart parity packet without overstating oracle closure."""
|
|
|
|
from __future__ import annotations
|
|
|
|
import argparse
|
|
import hashlib
|
|
import json
|
|
import sys
|
|
from datetime import datetime
|
|
from pathlib import Path
|
|
from typing import Any
|
|
|
|
from domain_calculation_service import compute_chart
|
|
|
|
|
|
ROOT = Path(__file__).resolve().parents[1]
|
|
PYJHORA_ARTIFACT = ROOT / "references/oracle/artifacts/pyjhora_steve_jobs_dasha_stdout_20260627.txt"
|
|
JYOTISHGANIT_ROOT = ROOT / "references/open_source_sources/jyotishganit"
|
|
VEDASTRO_ARTIFACT_DIR = ROOT / "scratch/local/vedastro_adapter"
|
|
|
|
PUBLIC_CASE = {
|
|
"case_id": "steve_jobs_public_1955_lahiri",
|
|
"year": 1955,
|
|
"month": 2,
|
|
"day": 24,
|
|
"hour": 19,
|
|
"minute": 15,
|
|
"second": 0,
|
|
"lat": 37.7749,
|
|
"lon": -122.4194,
|
|
"tz": -8.0,
|
|
"ayanamsa": "lahiri",
|
|
"node_mode": "mean",
|
|
}
|
|
PLANETS = ("Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn")
|
|
SIGNS = ("Aries", "Taurus", "Gemini", "Cancer", "Leo", "Virgo", "Libra", "Scorpio", "Sagittarius", "Capricorn", "Aquarius", "Pisces")
|
|
LONGITUDE_TOLERANCE_DEGREES = 0.02
|
|
|
|
|
|
def _write_json(path: Path, value: dict[str, Any]) -> Path:
|
|
path.parent.mkdir(parents=True, exist_ok=True)
|
|
path.write_text(json.dumps(value, ensure_ascii=False, indent=2, sort_keys=True), encoding="utf-8")
|
|
return path
|
|
|
|
|
|
def _capture_jyotishganit_raw(output_dir: Path) -> tuple[dict[str, Any], str]:
|
|
sys.path.insert(0, str(JYOTISHGANIT_ROOT))
|
|
try:
|
|
from jyotishganit import calculate_birth_chart, get_birth_chart_json
|
|
|
|
chart = calculate_birth_chart(
|
|
datetime(
|
|
PUBLIC_CASE["year"],
|
|
PUBLIC_CASE["month"],
|
|
PUBLIC_CASE["day"],
|
|
PUBLIC_CASE["hour"],
|
|
PUBLIC_CASE["minute"],
|
|
PUBLIC_CASE["second"],
|
|
),
|
|
PUBLIC_CASE["lat"],
|
|
PUBLIC_CASE["lon"],
|
|
PUBLIC_CASE["tz"],
|
|
location_name="San Francisco, CA",
|
|
name="Steve Jobs (public benchmark)",
|
|
)
|
|
raw = get_birth_chart_json(chart)
|
|
path = _write_json(output_dir / "jyotishganit_raw.json", raw)
|
|
return raw, str(path)
|
|
except Exception as exc:
|
|
return {"error": f"{exc.__class__.__name__}: {exc}"}, ""
|
|
finally:
|
|
try:
|
|
sys.path.remove(str(JYOTISHGANIT_ROOT))
|
|
except ValueError:
|
|
pass
|
|
|
|
|
|
def _capture_pyjhora_structured_d1(output_dir: Path) -> tuple[dict[str, Any], str]:
|
|
try:
|
|
import contextlib
|
|
import importlib
|
|
import io
|
|
|
|
with contextlib.redirect_stdout(io.StringIO()):
|
|
utils = importlib.import_module("jhora.utils")
|
|
charts = importlib.import_module("jhora.horoscope.chart.charts")
|
|
drik = importlib.import_module("jhora.panchanga.drik")
|
|
|
|
jd = utils.julian_day_number(
|
|
(PUBLIC_CASE["year"], PUBLIC_CASE["month"], PUBLIC_CASE["day"]),
|
|
(PUBLIC_CASE["hour"], PUBLIC_CASE["minute"], PUBLIC_CASE["second"]),
|
|
)
|
|
drik.set_ayanamsa_mode("LAHIRI", jd=jd)
|
|
place = drik.Place("San Francisco, CA", PUBLIC_CASE["lat"], PUBLIC_CASE["lon"], PUBLIC_CASE["tz"])
|
|
with contextlib.redirect_stdout(io.StringIO()):
|
|
raw = charts.rasi_chart(jd, place)
|
|
index_to_planet = {0: "Sun", 1: "Moon", 2: "Mars", 3: "Mercury", 4: "Jupiter", 5: "Venus", 6: "Saturn"}
|
|
planets: dict[str, dict[str, float | str]] = {}
|
|
for body, position in raw:
|
|
if body not in index_to_planet:
|
|
continue
|
|
sign_index, degree = position
|
|
planets[index_to_planet[body]] = {
|
|
"sign": SIGNS[int(sign_index)],
|
|
"longitude": int(sign_index) * 30 + float(degree),
|
|
}
|
|
payload = {
|
|
"source": "PyJHora.jhora.horoscope.chart.charts.rasi_chart",
|
|
"settings": {"ayanamsa": "LAHIRI", "jd_input": "local_birth_time", "node_mode": "PyJHora default"},
|
|
"raw": raw,
|
|
"planets": planets,
|
|
}
|
|
path = _write_json(output_dir / "pyjhora_structured_d1.json", payload)
|
|
return payload, str(path)
|
|
except Exception as exc:
|
|
return {"error": f"{exc.__class__.__name__}: {exc}"}, ""
|
|
|
|
|
|
def _vedastro_state(*, allow_network: bool) -> dict[str, Any]:
|
|
if not allow_network:
|
|
return {
|
|
"status": "blocked",
|
|
"official_raw_response_path": "",
|
|
"reason": "network_disabled_for_public_replay",
|
|
}
|
|
artifact = _latest_vedastro_official_raw_artifact()
|
|
if artifact:
|
|
return {
|
|
"status": "official_verified",
|
|
"official_raw_response_path": str(artifact),
|
|
"artifact_hash": hashlib.sha256(artifact.read_bytes()).hexdigest(),
|
|
"settings": {"ayanamsa": PUBLIC_CASE["ayanamsa"], "node_mode": PUBLIC_CASE["node_mode"]},
|
|
"reason": "imported_latest_official_full_snapshot_artifact",
|
|
}
|
|
return {
|
|
"status": "blocked",
|
|
"official_raw_response_path": "",
|
|
"reason": "official_runner_requires_explicit_raw_capture_workflow",
|
|
}
|
|
|
|
|
|
def _latest_vedastro_official_raw_artifact() -> Path | None:
|
|
if not VEDASTRO_ARTIFACT_DIR.exists():
|
|
return None
|
|
candidates: list[Path] = []
|
|
for path in VEDASTRO_ARTIFACT_DIR.glob("official_full_snapshot-*.json"):
|
|
try:
|
|
payload = json.loads(path.read_text(encoding="utf-8"))
|
|
except json.JSONDecodeError:
|
|
continue
|
|
raw = payload.get("official_raw_response") or payload.get("raw_response")
|
|
source = str(raw.get("source") or "") if isinstance(raw, dict) else ""
|
|
if (
|
|
payload.get("status") == "ok"
|
|
and source.startswith("vedastro_official")
|
|
and _artifact_matches_public_case(payload)
|
|
):
|
|
candidates.append(path)
|
|
if not candidates:
|
|
return None
|
|
return max(candidates, key=lambda item: item.stat().st_mtime)
|
|
|
|
|
|
def _artifact_matches_public_case(payload: dict[str, Any]) -> bool:
|
|
manifest = payload.get("request_manifest") if isinstance(payload.get("request_manifest"), dict) else {}
|
|
text = json.dumps(manifest, ensure_ascii=False, sort_keys=True)
|
|
return (
|
|
"24/02/1955" in text
|
|
and "19:15" in text
|
|
and "37.7749" in text
|
|
and "-122.4194" in text
|
|
)
|
|
|
|
|
|
def _load_vedastro_artifact(path: str) -> dict[str, Any]:
|
|
if not path:
|
|
return {}
|
|
try:
|
|
return json.loads(Path(path).read_text(encoding="utf-8"))
|
|
except (OSError, json.JSONDecodeError):
|
|
return {}
|
|
|
|
|
|
def _vedastro_d1(artifact: dict[str, Any], planet: str) -> dict[str, Any]:
|
|
try:
|
|
payload = artifact["snapshot_sections"]["chart_core"][planet]["Payload"]["AllPlanetData"]
|
|
return {
|
|
"sign": payload["PlanetRasiD1Sign"]["Name"],
|
|
"longitude": float(payload["PlanetNirayanaLongitude"]["TotalDegrees"]),
|
|
}
|
|
except (KeyError, TypeError, ValueError):
|
|
return {}
|
|
|
|
|
|
def _jyotishganit_d1(raw: dict[str, Any], planet: str) -> dict[str, Any]:
|
|
for house in (raw.get("d1Chart") or {}).get("houses") or []:
|
|
for occupant in house.get("occupants") or []:
|
|
if occupant.get("celestialBody") != planet:
|
|
continue
|
|
sign = occupant.get("sign")
|
|
degree = occupant.get("signDegrees")
|
|
if sign not in SIGNS or degree is None:
|
|
return {}
|
|
return {"sign": sign, "longitude": SIGNS.index(sign) * 30 + float(degree)}
|
|
return {}
|
|
|
|
|
|
def _pyjhora_d1(raw: dict[str, Any], planet: str) -> dict[str, Any]:
|
|
value = raw.get("planets", {}).get(planet)
|
|
return value if isinstance(value, dict) else {}
|
|
|
|
|
|
def _d1_comparison_rows(
|
|
local: dict[str, Any],
|
|
vedastro_artifact: dict[str, Any],
|
|
jyotishganit_raw: dict[str, Any],
|
|
pyjhora_raw: dict[str, Any],
|
|
) -> list[dict[str, Any]]:
|
|
rows: list[dict[str, Any]] = []
|
|
for planet in PLANETS:
|
|
local_planet = local.get("planets", {}).get(planet) or {}
|
|
vedastro = _vedastro_d1(vedastro_artifact, planet)
|
|
jyotishganit = _jyotishganit_d1(jyotishganit_raw, planet)
|
|
pyjhora = _pyjhora_d1(pyjhora_raw, planet)
|
|
local_sign = local_planet.get("sign")
|
|
sign_values = {
|
|
"VedAstro": vedastro.get("sign"),
|
|
"PyJHora_JHora": pyjhora.get("sign"),
|
|
"jyotishganit": jyotishganit.get("sign"),
|
|
}
|
|
comparable_signs = [value for value in sign_values.values() if value is not None]
|
|
rows.append({
|
|
"section": "D1",
|
|
"field": f"{planet}.sign",
|
|
"local_value": local_sign,
|
|
"oracle_values": sign_values,
|
|
"status": (
|
|
"match"
|
|
if local_sign and comparable_signs and all(value == local_sign for value in comparable_signs)
|
|
else "blocked" if not comparable_signs else "mismatch"
|
|
),
|
|
})
|
|
|
|
local_lon = local_planet.get("lon")
|
|
longitude_values = {
|
|
"VedAstro": vedastro.get("longitude"),
|
|
"PyJHora_JHora": pyjhora.get("longitude"),
|
|
"jyotishganit": jyotishganit.get("longitude"),
|
|
}
|
|
comparable = [value for value in longitude_values.values() if isinstance(value, (int, float))]
|
|
rows.append({
|
|
"section": "D1",
|
|
"field": f"{planet}.longitude",
|
|
"local_value": local_lon,
|
|
"oracle_values": longitude_values,
|
|
"status": (
|
|
"match"
|
|
if isinstance(local_lon, (int, float))
|
|
and comparable
|
|
and all(abs(value - local_lon) <= LONGITUDE_TOLERANCE_DEGREES for value in comparable)
|
|
else "blocked" if not comparable else "mismatch"
|
|
),
|
|
})
|
|
return rows
|
|
|
|
|
|
def build_public_case_replay(*, output_dir: Path, allow_vedastro_network: bool = False) -> dict[str, Any]:
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
local = compute_chart(PUBLIC_CASE)
|
|
jyotishganit_raw, jyotishganit_path = _capture_jyotishganit_raw(output_dir)
|
|
pyjhora_raw, pyjhora_path = _capture_pyjhora_structured_d1(output_dir)
|
|
pyjhora_available = PYJHORA_ARTIFACT.is_file()
|
|
vedastro = _vedastro_state(allow_network=allow_vedastro_network)
|
|
vedastro_artifact = _load_vedastro_artifact(vedastro.get("official_raw_response_path", ""))
|
|
rows = _d1_comparison_rows(local, vedastro_artifact, jyotishganit_raw, pyjhora_raw) + [
|
|
{
|
|
"section": "Panchanga",
|
|
"field": "raw_capture",
|
|
"local_value": None,
|
|
"oracle_values": {
|
|
"VedAstro": None,
|
|
"PyJHora_JHora": "structured_d1_captured" if pyjhora_path else "dasha_only_artifact",
|
|
"jyotishganit": "captured" if jyotishganit_path else None,
|
|
},
|
|
"status": "not_comparable",
|
|
"reason": "three_engine_scope_does_not_share_this_normalized_field",
|
|
},
|
|
]
|
|
has_blocked = any(row.get("status") == "blocked" for row in rows)
|
|
has_mismatch = any(row.get("status") == "mismatch" for row in rows)
|
|
has_required_raw = vedastro.get("status") == "official_verified" and bool(pyjhora_path) and bool(jyotishganit_path)
|
|
blocked_reason = (
|
|
"official_vedastro_raw_missing_or_unverified"
|
|
if vedastro.get("status") != "official_verified"
|
|
else "some_comparison_rows_blocked"
|
|
if has_blocked
|
|
else "comparison_rows_mismatch"
|
|
if has_mismatch
|
|
else "none"
|
|
)
|
|
report_status = (
|
|
"blocked"
|
|
if not bool(jyotishganit_path)
|
|
else "mismatch"
|
|
if has_mismatch
|
|
else "partial"
|
|
if not has_required_raw or has_blocked
|
|
else "pass"
|
|
)
|
|
pyjhora_artifact_path = pyjhora_path or (str(PYJHORA_ARTIFACT) if pyjhora_available else "")
|
|
report = {
|
|
"case_id": PUBLIC_CASE["case_id"],
|
|
"birth_data_policy": "public_case_only",
|
|
"status": report_status,
|
|
"tested": vedastro.get("status") == "official_verified" and bool(rows),
|
|
"blocked_reason": blocked_reason,
|
|
"engines": {
|
|
"VedAstro": vedastro,
|
|
"PyJHora_JHora": {
|
|
"status": "structured_captured" if pyjhora_path else "raw_imported" if pyjhora_available else "blocked",
|
|
"raw_output_path": pyjhora_artifact_path,
|
|
"artifact_hash": hashlib.sha256(Path(pyjhora_artifact_path).read_bytes()).hexdigest() if pyjhora_artifact_path else "",
|
|
"settings": {"ayanamsa": "LAHIRI", "node_mode": "PyJHora default"},
|
|
},
|
|
"jyotishganit": {
|
|
"status": "raw_captured" if jyotishganit_path else "blocked",
|
|
"raw_output_path": jyotishganit_path,
|
|
"error": jyotishganit_raw.get("error") if isinstance(jyotishganit_raw, dict) else None,
|
|
},
|
|
},
|
|
"local": {
|
|
"result_hash": local["result_hash"],
|
|
"calculation_contract": local["calculation_contract"],
|
|
},
|
|
"comparison_rows": rows,
|
|
"runtime_boundary": (
|
|
"This packet has real public raw artifacts and may include VedAstro official raw evidence, "
|
|
"and normalized D1 planet sign/longitude parity is tested. Non-D1 scopes still require separate gates."
|
|
),
|
|
}
|
|
_write_json(output_dir / "three_engine_parity_replay.json", report)
|
|
return report
|
|
|
|
|
|
def main() -> int:
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--output-dir", default="scratch/local/three_engine_parity")
|
|
parser.add_argument("--allow-vedastro-network", action="store_true")
|
|
args = parser.parse_args()
|
|
report = build_public_case_replay(
|
|
output_dir=ROOT / args.output_dir,
|
|
allow_vedastro_network=args.allow_vedastro_network,
|
|
)
|
|
print(json.dumps(report, ensure_ascii=False, indent=2))
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|