Jesse_ChenandClaude Opus 5.5
bc03bba26b
Round-4 astrologer ruling 2026-10-03 Q1: the yoga stays formed with d9_dignity_modifier='weakened' and the reason 'D9 落陷，兑现减弱'; only a failed D1 condition is not_formed. The D9 sign is derived from the longitude when the caller does not pass navamsa_sign, so the card, report and /api/pancha_mahapurusha paths all check it. None of the nine public celebrity charts change. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
235 lines
15 KiB
Python
235 lines
15 KiB
Python
"""Pancha Mahapurusha: one main detector, ruling 甲5 (BUG-1207).
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`scripts/pancha_mahapurusha.py` is the only detector: kendras from the Lagna,
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retrograde does not cancel, combustion and malefic conjunction / aspect only
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reduce the yoga, D9 debilitation only weakens it (round-4 ruling Q1, BUG-1213). The
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data-driven `mahapurusha_*`, `*_own`, `moolatrikona_*`, `hamsa_trikona` and the
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BVR Maalavya duplicate are `reference_only`, and `yogas_doshas` keeps its old
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aggregate for reference only, so a yoga the main detector rejects cannot come
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back on the card, the report or `chart.yogas` by another path. Placements are
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fictional except the parametrised public AA figures.
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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import pytest
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from scripts.consultation_native_layers import build_traditional_yogas, merge_detected_yogas
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from scripts.jyotish_api_server import JyotishAPIHandler, _compact_yoga_entry
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from scripts.jyotish_engine import compute_chart_data
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from scripts.main_yoga_detectors import pancha_mahapurusha_rows
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from scripts.pancha_mahapurusha import detect_pancha_mahapurusha
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from scripts.yoga_engine import YogaEngine
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from scripts.yogas_doshas import calc_all_yogas_doshas
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ROOT = Path(__file__).resolve().parents[1]
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RULES = ROOT / "references" / "yoga_rules.json"
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SIGNS = ["Aries", "Taurus", "Gemini", "Cancer", "Leo", "Virgo",
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"Libra", "Scorpio", "Sagittarius", "Capricorn", "Aquarius", "Pisces"]
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REFERENCE_IDS = {
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*(f"mahapurusha_{planet}{suffix}" for planet in ("mars", "mercury", "jupiter", "venus", "saturn") for suffix in ("", "_own")),
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*(f"moolatrikona_{planet}" for planet in ("mars", "mercury", "jupiter", "venus", "saturn")),
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"hamsa_trikona", "bvr_maalavya_yoga",
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}
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def _row(sign: str, lon_in_sign: float, asc: str = "Cancer", **extra) -> dict:
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return {"sign": sign, "house": (SIGNS.index(sign) - SIGNS.index(asc)) % 12 + 1,
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"lon": SIGNS.index(sign) * 30 + lon_in_sign, "degree": lon_in_sign, **extra}
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def _one(planets: dict, name: str) -> dict:
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return next(item for item in detect_pancha_mahapurusha(planets) if item["name"] == name)
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def test_retrograde_does_not_cancel() -> None:
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hamsa = _one({"Jupiter": _row("Cancer", 5.0, retrograde=True)}, "Hamsa Yoga")
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assert (hamsa["is_valid"], hamsa["strength"], hamsa["reductions"]) == (True, "full", [])
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def test_combustion_reduces_using_the_suns_longitude_from_the_chart() -> None:
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# API rows carry `degree` in sign; the longitude decides combustion.
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planets = {"Jupiter": _row("Cancer", 5.0), "Sun": _row("Cancer", 10.0)}
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hamsa = _one(planets, "Hamsa Yoga")
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assert hamsa["is_valid"] is True and hamsa["strength"] == "reduced"
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assert hamsa["reductions"][0].startswith("木星燃烧")
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far = _one({"Jupiter": _row("Cancer", 5.0), "Sun": _row("Leo", 20.0)}, "Hamsa Yoga")
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assert far["strength"] == "full"
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def test_malefic_aspect_reduces() -> None:
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# Saturn in Capricorn casts its 7th on Cancer.
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hamsa = _one({"Jupiter": _row("Cancer", 5.0), "Saturn": _row("Capricorn", 10.0)}, "Hamsa Yoga")
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assert hamsa["strength"] == "reduced"
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assert hamsa["reductions"] == ["受凶星照：土星"]
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# Rahu / Ketu cast no aspect (repository drishti rule); Ketu opposite is no reduction.
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assert _one({"Jupiter": _row("Cancer", 5.0), "Ketu": _row("Capricorn", 10.0)}, "Hamsa Yoga")["strength"] == "full"
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def test_d9_debilitation_only_weakens() -> None:
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# 原值：传 navamsa_sign 落陷 → is_valid False、strength cancelled（不传则不检查）
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# 新值：formed 不变，d9_dignity_modifier = weakened，原因「D9 落陷，兑现减弱」；
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# 不传 navamsa_sign 时由经度推出 D9（巨蟹 21° 的 D9 是摩羯）
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# 原因：占星师第四轮裁定 2026-10-03 问 1（BUG-1213）
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for row in (_row("Cancer", 21.0, navamsa_sign="Capricorn"), _row("Cancer", 21.0)):
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hamsa = _one({"Jupiter": row}, "Hamsa Yoga")
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assert (hamsa["status"], hamsa["is_valid"], hamsa["strength"]) == ("formed", True, "reduced")
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assert hamsa["d9_dignity_modifier"] == "weakened" and hamsa["d9_sign"] == "Capricorn"
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assert hamsa["reductions"] == ["D9 落陷，兑现减弱"]
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strong = _one({"Jupiter": _row("Cancer", 5.0)}, "Hamsa Yoga")
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assert strong["d9_dignity_modifier"] is None and strong["strength"] == "full"
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def test_d1_condition_not_met_is_not_formed() -> None:
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# Jupiter exalted but in the 9th from a Pisces Lagna (trikona, not kendra).
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rows = detect_pancha_mahapurusha({"Jupiter": _row("Cancer", 5.0, asc="Pisces")}, include_not_formed=True)
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hamsa = next(item for item in rows if item["planet"] == "Jupiter")
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assert (hamsa["status"], hamsa["is_valid"]) == ("not_formed", False)
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# Kendra but neither own nor exalted.
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rows = detect_pancha_mahapurusha({"Jupiter": _row("Leo", 5.0, asc="Leo")}, include_not_formed=True)
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assert next(item for item in rows if item["planet"] == "Jupiter")["status"] == "not_formed"
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assert detect_pancha_mahapurusha({"Jupiter": _row("Leo", 5.0, asc="Leo")}) == []
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def test_d9_weakened_yoga_reaches_the_card_and_the_report_rows_alike() -> None:
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planets = {"Jupiter": _row("Cancer", 21.0), "Moon": _row("Taurus", 3.0)}
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rows = pancha_mahapurusha_rows(planets)
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assert rows[0]["d9_dignity_modifier"] == "weakened"
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assert "D9 落陷，兑现减弱" in rows[0]["combination"]
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engine_rows = [row for row in YogaEngine(str(RULES)).detect(planets, "Cancer") if row.get("category") == "mahapurusha"]
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assert engine_rows == rows
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chart_rows = JyotishAPIHandler._detect_yogas(None, planets, SIGNS.index("Cancer"))
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entry = _compact_yoga_entry(next(row for row in chart_rows if row.get("category") == "PMC"))
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layer = build_traditional_yogas({"raman_support": {"yogas": {"status": "executed", "hits": [], "ungoverned_detected": [entry]}}})
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assert layer["names"] == ["Hamsa Yoga（Jupiter；部分减弱：D9 落陷，兑现减弱）"]
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def test_reference_only_rules_never_run() -> None:
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rules = {rule["id"]: rule for rule in json.loads(RULES.read_text(encoding="utf-8"))["rules"]}
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for rule_id in REFERENCE_IDS:
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assert rules[rule_id]["reference_only"] is True and "BUG-1207" in rules[rule_id]["reference_only_reason"], rule_id
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assert not REFERENCE_IDS & {rule["id"] for rule in YogaEngine(str(RULES)).rules}
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def test_a_rejected_yoga_does_not_come_back_by_another_path() -> None:
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# 原值：木星在上升巨蟹入旺但 D9 落陷（被判不成立）作为「被拒格局」
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# 新值：木星入旺巨蟹但在双鱼上升的第 9 宫（三方宫，非角宫），D1 条件不成立
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# 原因：第四轮问 1（BUG-1213）D9 落陷不再拒绝格局；被拒样例改为 D1 不成立，
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# 仍是已退役的 hamsa_trikona 规则曾接受的三方宫
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asc = "Pisces"
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planets = {"Jupiter": _row("Cancer", 5.0, asc=asc), "Moon": _row("Taurus", 3.0, asc=asc), "Sun": _row("Aries", 10.0, asc=asc),
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"Mars": _row("Gemini", 1.0, asc=asc), "Mercury": _row("Aquarius", 2.0, asc=asc), "Venus": _row("Aries", 2.0, asc=asc),
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"Saturn": _row("Leo", 2.0, asc=asc), "Rahu": _row("Virgo", 2.0, asc=asc), "Ketu": _row("Pisces", 2.0, asc=asc)}
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engine_rows = YogaEngine(str(RULES)).detect(planets, asc)
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assert not [row for row in engine_rows if "Hamsa" in row["name"] or "汉萨" in row.get("name_cn", "")]
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chart_rows = JyotishAPIHandler._detect_yogas(None, planets, SIGNS.index(asc))
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assert not [row for row in chart_rows if "Hamsa" in row["name"]]
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merged = merge_detected_yogas(
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[entry for entry in map(_compact_yoga_entry, chart_rows) if entry],
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[entry for entry in map(_compact_yoga_entry, engine_rows) if entry],
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)
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layer = build_traditional_yogas({"raman_support": {"yogas": {"status": "executed", "hits": [], "ungoverned_detected": merged}}})
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assert not [name for name in layer["names"] if "Hamsa" in name]
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aggregate = calc_all_yogas_doshas(planets, {}, asc, "Moon", "Taurus", 11, 12, 10, "Gemini")
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assert aggregate["pancha_mahapurusha"]["status"] == "reference_only"
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assert aggregate["pancha_mahapurusha"]["yogas"] == []
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def test_reduced_yoga_reaches_the_card_with_its_reasons() -> None:
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# 原值：土星摩羯 10°（D9 白羊，落陷；旧规则只在给 navamsa_sign 时检查）
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# 新值：土星摩羯 2°（D9 摩羯，本宫），断言不变
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# 原因：BUG-1213 起 D9 由经度推出，摩羯 10° 的萨萨会多一条「D9 落陷」减弱；
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# 本用例只测凶星照的原因上卡，换成 D9 不落陷的度数
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planets = {"Jupiter": _row("Cancer", 5.0), "Saturn": _row("Capricorn", 2.0)}
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all_rows = pancha_mahapurusha_rows(planets)
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engine_rows = [row for row in YogaEngine(str(RULES)).detect(planets, "Cancer") if row.get("category") == "mahapurusha"]
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assert engine_rows == all_rows
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# Saturn in Capricorn is the 7th from a Cancer Lagna: Sasa, full.
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assert [(row["name"], row["strength"]) for row in all_rows] == [("Hamsa Yoga", "部分减弱"), ("Sasa Yoga", "强")]
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rows = all_rows[:1]
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entry = _compact_yoga_entry(rows[0])
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layer = build_traditional_yogas({"raman_support": {"yogas": {"status": "executed", "hits": [], "ungoverned_detected": [entry]}}})
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assert layer["names"] == ["Hamsa Yoga（Jupiter；部分减弱：受凶星照：土星）"]
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FIGURES = (
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("minute_rectification_development_v1.json", "steve_jobs_1955_development"),
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("minute_rectification_holdout_v4.json", "barack_obama_1961_aa_v4_holdout"),
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("minute_rectification_holdout_v4.json", "elizabeth_taylor_1932_aa_v4_holdout"),
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("minute_rectification_holdout_v5.json", "marilyn_monroe_1926_aa_v5_holdout"),
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("minute_rectification_holdout_v5.json", "judy_garland_1922_aa_v5_holdout"),
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("minute_rectification_holdout_v5.json", "edith_piaf_1915_aa_v5_holdout"),
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("minute_rectification_holdout_v5.json", "frida_kahlo_1907_aa_v5_holdout"),
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("minute_rectification_holdout_v5.json", "george_w_bush_1946_aa_v5_holdout"),
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("minute_rectification_holdout_v5.json", "zinedine_zidane_1972_aa_v5_holdout"),
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)
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@pytest.mark.parametrize("library,case_id", FIGURES)
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def test_public_figures_engine_and_chart_paths_agree_with_the_main_detector(library: str, case_id: str) -> None:
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cases = json.loads((ROOT / "references/real_case_calibration" / library).read_text(encoding="utf-8"))["cases"]
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birth = next(case for case in cases if case["case_id"] == case_id)["birth"]
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year, month, day = (int(part) for part in birth["date"].split("-"))
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hour, minute = (int(part) for part in birth["time"].split(":"))
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chart, *_ = compute_chart_data(year, month, day, hour, minute, birth["latitude"], birth["longitude"],
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birth["timezone_offset"], ayanamsa_name="raman")
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asc = chart["ascendant"]["sign"]
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# Report path shape (degree in sign + lon) and API path shape (degree = lon).
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report_planets = {name: {"sign": row["sign"], "house": row["house"], "degree": row["degree_in_sign"],
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"lon": row["degree_raw"], "retrograde": row["retrograde"]}
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for name, row in chart["planets"].items()}
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api_planets = {name: {**row, "degree": row["lon"]} for name, row in report_planets.items()}
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expected = {item["planet"]: item["strength"] for item in detect_pancha_mahapurusha(api_planets) if item["is_valid"]}
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engine = {row["planets"][0]: row for row in YogaEngine(str(RULES)).detect(report_planets, asc) if row.get("category") == "mahapurusha"}
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assert {planet: ("reduced" if row["reductions"] else "full") for planet, row in engine.items()} == expected
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chart_rows = JyotishAPIHandler._detect_yogas(None, api_planets, SIGNS.index(asc))
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assert {row["planets"][0] for row in chart_rows if row.get("category") == "PMC"} == set(expected)
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def test_report_yoga_rows_carry_retrograde_and_longitude() -> None:
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"""cmd_yoga (report path) hands the detectors the same longitude and
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retrograde flag as the consultation path, so combustion orbs agree."""
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from scripts.jyotish_engine import cmd_yoga
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cases = json.loads((ROOT / "references/real_case_calibration/minute_rectification_holdout_v5.json").read_text(encoding="utf-8"))["cases"]
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birth = next(case for case in cases if case["case_id"] == "judy_garland_1922_aa_v5_holdout")["birth"]
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year, month, day = (int(part) for part in birth["date"].split("-"))
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hour, minute = (int(part) for part in birth["time"].split(":"))
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args = type("Args", (), {"planets": None, "year": year, "month": month, "day": day, "hour": hour, "minute": minute,
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"lat": birth["latitude"], "lon": birth["longitude"], "tz": birth["timezone_offset"],
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"node_mode": "mean", "second": 0, "ascendant": "Aries"})()
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report = [row for row in cmd_yoga(args)["yogas"] if row.get("category") == "mahapurusha"]
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chart, *_ = compute_chart_data(year, month, day, hour, minute, birth["latitude"], birth["longitude"], birth["timezone_offset"])
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api = {name: {"sign": row["sign"], "house": row["house"], "lon": row["degree_raw"], "degree": row["degree_raw"],
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"retrograde": row["retrograde"]} for name, row in chart["planets"].items()}
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assert [(row["name"], row["reductions"]) for row in report] == [
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(row["name"], row["reductions"]) for row in pancha_mahapurusha_rows(api)]
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def test_full_reading_yoga_module_matches_the_consultation_path() -> None:
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"""The report's yoga table (cmd_full_reading modules.yoga, varga-context
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re-run) gives the same reduced reasons as the consultation path; the
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retrograde flag travels in the planets string (Judy Garland: retrograde
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Mercury, combustion orb 12°)."""
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from scripts.jyotish_engine import cmd_full_reading
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cases = json.loads((ROOT / "references/real_case_calibration/minute_rectification_holdout_v5.json").read_text(encoding="utf-8"))["cases"]
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birth = next(case for case in cases if case["case_id"] == "judy_garland_1922_aa_v5_holdout")["birth"]
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year, month, day = (int(part) for part in birth["date"].split("-"))
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hour, minute = (int(part) for part in birth["time"].split(":"))
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args = {"year": year, "month": month, "day": day, "hour": hour, "minute": minute, "second": 0,
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"lat": birth["latitude"], "lon": birth["longitude"], "tz": birth["timezone_offset"],
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"node_mode": "mean", "ayanamsa": "raman", "today": "2026-10-03", "target_year": 2026, "age": 104}
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reading = cmd_full_reading(type("Args", (), args)())
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report = [row for row in reading["modules"]["yoga"]["yogas"] if row.get("category") == "mahapurusha"]
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chart, *_ = compute_chart_data(year, month, day, hour, minute, birth["latitude"], birth["longitude"],
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birth["timezone_offset"], ayanamsa_name="raman")
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api = {name: {"sign": row["sign"], "house": row["house"], "lon": row["degree_raw"], "degree": row["degree_raw"],
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"retrograde": row["retrograde"]} for name, row in chart["planets"].items()}
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assert [(row["name"], row["reductions"]) for row in report] == [
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(row["name"], row["reductions"]) for row in pancha_mahapurusha_rows(api)]
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assert any("12°" in reason for row in report for reason in row["reductions"])
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