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Jedyne wymaganie Must bez implementacji. Nowy zodiac.py + wpiecie w horoskop: - zodiac.py: ayanamsy (Lahiri, Fagan-Bradley, Krishnamurti) modelem ayan(jd)=ayan0+B*x+C*x^2 (wspolna precesja, rozna stala) — skalibrowanym do Swiss Ephemeris jako WYROCZNI: zgodnosc do ~0,02" w latach 1900-2100. Draconic = wzgledem wzla wznoszacego (wzel = 0 Barana). RA: konwersja ekliptyka->rownik (to_equatorial) na przyszly widok rownikowy. - chart.py: build_chart(..., zodiac): offset jednolicie przesuwa etykiety znakow/dlugosci obiektow, osi, cusps i Lots; DOMY licza sie po dlugosci tropikalnej (geometria niezmiennicza wzgledem obrotu -> numery domow bez zmian). Domyslnie tropical -> sciezka i wyniki bez zmian. - main.py: /chart/positions przyjmuje `zodiac`; bledny -> 422. - prezentacja: dropdown „Zodiak" + pokazanie ayanamshy w wynikach. Testy (14): ayanamsy vs wyrocznia swisseph (<0.1"), julian_day, draconic (wzel=0 Barana), niezmienniczosc domow, RA w punktach charakterystycznych, odrzucenie bledow. Cala logika: 99 passed, 1 skipped. Zweryfikowane e2e w przegladarce (horoskop syderyczny Lahiri: Slonce Aries 16°34', ayan 23.6382). RA jako osobny widok zodiaku (per-obiekt, z szerokoscia) — do osobnego PR. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
128 lines
4.7 KiB
Python
128 lines
4.7 KiB
Python
"""Systemy zodiaku (LOG-04): ayanamsy, syderyczny, draconic, RA.
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Wartości referencyjne ayanams pochodzą ze **Swiss Ephemeris** (get_ayanamsa_ut)
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użytego jako wyrocznia — silnika B nie importujemy tu (izolacja AGPL), więc stałe
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są wpięte tak jak referencje astro-seek w innych testach. Nasz model odtwarza je
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z dokładnością do ~0,02" w latach 1900–2100.
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"""
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import math
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import pytest
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from app.engine import zodiac as Z
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from app.engine.chart import build_chart
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from app.engine.formats import sign_index
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# wyrocznia: swisseph get_ayanamsa_ut (JD UT -> ayanamsa °)
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ORACLE = {
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"sidereal_lahiri": {
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2451545.0: 23.857092, 2445820.88889: 23.638183,
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2415021.0: 22.460550, 2433283.0: 23.158744,
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2469808.0: 24.555632, 2488070.0: 25.254287,
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},
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"sidereal_fagan_bradley": {
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2451545.0: 24.740300, 2445820.88889: 24.521391,
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2415021.0: 23.343757, 2433283.0: 24.041952,
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2469808.0: 25.438840, 2488070.0: 26.137495,
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},
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"sidereal_krishnamurti": {
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2451545.0: 23.760240, 2415021.0: 22.363697,
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2469808.0: 24.458780, 2488070.0: 25.157435,
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},
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}
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def _arcsec(a, b):
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return abs(a - b) * 3600.0
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@pytest.mark.parametrize("name", list(ORACLE))
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def test_ayanamsha_matches_swisseph_oracle(name):
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for jd, ref in ORACLE[name].items():
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got = Z.ayanamsha(name, jd)
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assert _arcsec(got, ref) < 0.1, f"{name} @ JD{jd}: {got} vs {ref} ({_arcsec(got, ref):.3f}\")"
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def test_julian_day_j2000():
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from datetime import datetime, timezone
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jd = Z.julian_day(datetime(2000, 1, 1, 12, 0, tzinfo=timezone.utc))
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assert abs(jd - 2451545.0) < 1e-6
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def test_offset_tropical_is_zero():
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assert Z.offset("tropical", 2451545.0) == 0.0
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def test_offset_draconic_is_node_longitude():
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assert Z.offset("draconic", 2451545.0, node_lon=68.0) == 68.0
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# normalizacja
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assert Z.offset("draconic", 2451545.0, node_lon=428.0) == pytest.approx(68.0)
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def test_offset_draconic_requires_node():
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with pytest.raises(ValueError):
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Z.offset("draconic", 2451545.0)
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def test_unknown_zodiac_rejected():
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with pytest.raises(ValueError):
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Z.offset("bzdura", 2451545.0)
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with pytest.raises(ValueError):
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Z.ayanamsha("sidereal_nieistnieje", 2451545.0)
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def test_apply_subtracts_and_normalizes():
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assert Z.apply(10.0, 20.0) == pytest.approx(350.0)
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assert Z.apply(40.0, 24.74) == pytest.approx(15.26)
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def test_to_equatorial_reference_points():
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# punkt równonocy: λ=0,β=0 -> RA=0, dec=0
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ra, dec = Z.to_equatorial(0.0, 0.0, 23.4392911)
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assert ra == pytest.approx(0.0, abs=1e-9) and dec == pytest.approx(0.0, abs=1e-9)
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# przesilenie letnie: λ=90,β=0 -> RA=90, dec=+ε
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ra, dec = Z.to_equatorial(90.0, 0.0, 23.4392911)
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assert ra == pytest.approx(90.0, abs=1e-6)
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assert dec == pytest.approx(23.4392911, abs=1e-6)
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# ---- integracja z pełnym horoskopem ----
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def test_sidereal_chart_shifts_signs_back(own_engine, reference_moment):
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trop = build_chart(own_engine, reference_moment, "whole_sign")
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sid = build_chart(own_engine, reference_moment, "whole_sign", zodiac="sidereal_lahiri")
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assert sid["zodiac"] == "sidereal_lahiri"
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assert "ayanamsha" in sid and 23.0 < sid["ayanamsha"] < 24.5
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tp = {p["name"]: p for p in trop["positions"]}
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sp = {p["name"]: p for p in sid["positions"]}
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# syderyczna długość = tropikalna − ayanamsa (mod 360) dla każdego obiektu
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ay = sid["ayanamsha"]
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for name in tp:
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expect = (tp[name]["decimal"] - ay) % 360.0
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assert abs(((sp[name]["decimal"] - expect + 180) % 360) - 180) < 1e-4
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def test_sidereal_preserves_house_numbers(own_engine, reference_moment):
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# obrót zodiaku nie zmienia numerów domów (geometria niezmiennicza)
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trop = build_chart(own_engine, reference_moment, "whole_sign")
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sid = build_chart(own_engine, reference_moment, "whole_sign", zodiac="sidereal_lahiri")
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tp = {p["name"]: p["house"] for p in trop["positions"]}
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sp = {p["name"]: p["house"] for p in sid["positions"]}
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assert tp == sp
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def test_draconic_puts_node_at_zero_aries(own_engine, reference_moment):
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drac = build_chart(own_engine, reference_moment, "whole_sign", zodiac="draconic")
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assert drac["zodiac"] == "draconic"
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nn = next(p for p in drac["positions"] if p["name"] == "North Node")
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# węzeł wznoszący = 0° Barana w draconic
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assert sign_index(nn["decimal"]) == 0
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assert nn["decimal"] < 0.001 or nn["decimal"] > 359.999
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def test_tropical_default_unchanged(own_engine, reference_moment):
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# domyślnie tropikalny: brak ayanamshy, zodiac=tropical
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chart = build_chart(own_engine, reference_moment, "whole_sign")
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assert chart["zodiac"] == "tropical"
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assert "ayanamsha" not in chart
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