Files
astrololo/services/logic/tests/test_significators.py
gitea f6323cac10 Ranking siły (LOG-21) + grupowanie identycznych opisów + geolokalizacja
Punktacja siły (LOG-21):
- scoring.py: siła fasety z sygnałów obliczalnych (typ fasety, rodzaj aspektu,
  ciasnota orbu). Konfigurowalne wagi. Hook na przyszłość: kolumny countas*/level*
  z SIGNIFICATORS KEY (obecnie puste).
- aspekty niosą orb+allowed; fasety dostają "score"; ranking faset malejąco.

Grupowanie:
- opcja group: zwija próbki po opisie (ten sam efekt = jedna grupa z listą
  sygnifikatorów i licznikiem). Checkbox "grupuj identyczne opisy" w /interpret.

Geolokalizacja (bajer):
- "Tu i teraz" (widok Horoskop i Interpretacje) uzupełnia lat/lon z przeglądarki
  (navigator.geolocation; wymaga zgody, https/localhost).

Zweryfikowano na realnym main_base.xlsx: ranking sensowny (ciasna opozycja z
Saturn 9.59 > szeroka koniunkcja z Moon 6.25 > znak/dom 5.0); grupowanie zwija
powtórzone opisy. 41 testów przechodzi.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 01:16:47 +02:00

94 lines
4.3 KiB
Python

"""Testy mostu obliczenia → sygnifikatory → wyszukiwanie (bez efemeryd/HTTP)."""
from app.engine.models import DEFAULT_OBJECTS
from app.significators import PLANET_ABBR, _ordinal, build_report
class FakeData:
def __init__(self, rows_by_value: dict) -> None:
self.rows_by_value = rows_by_value
def search(self, key, value, exact, limit, fields=None) -> dict:
rows = self.rows_by_value.get(value, [])
return {"provider": "fake", "total": len(rows), "rows": rows}
def test_sign_and_house_facets():
positions = [{"name": "Sun", "sign": "Taurus", "direction": "D", "house": 11}]
data = FakeData({"[Su": [
{"significator": "[Su in [Tau", "actioneffect": "efekt znak"}, # faseta znak
{"significator": "[Su in 11th H.", "actioneffect": "efekt dom"}, # faseta dom
{"significator": "[Su in [Vir", "actioneffect": "inny"}, # żadna
{"significator": "[Su in [Tau", "actioneffect": "nan"}, # szum
]})
item = build_report(positions, data)["objects"][0]
assert item["object"] == "Sun" and item["house"] == 11
facets = {f["type"]: f for f in item["facets"]}
assert facets["sign"]["count"] == 1
assert facets["sign"]["samples"][0]["effect"] == "efekt znak"
assert facets["sign"]["samples"][0]["expanded"] == "Sun in Taurus" # rozwinięcie skrótu
assert facets["house"]["count"] == 1
assert facets["house"]["token"] == "11th H."
assert facets["house"]["samples"][0]["effect"] == "efekt dom"
def test_no_house_facet_when_house_missing():
positions = [{"name": "Mars", "sign": "Scorpio", "direction": "Rx"}]
data = FakeData({"[Ma": [{"significator": "[Ma in [Sco", "actioneffect": "eff"}]})
types = [f["type"] for f in build_report(positions, data)["objects"][0]["facets"]]
assert "sign" in types and "house" not in types
def test_dedup_by_significator_and_effect():
positions = [{"name": "Moon", "sign": "Taurus", "direction": "D", "house": 11}]
data = FakeData({"[Mo": [
{"significator": "[Mo in 11th H.", "actioneffect": "efekt"},
{"significator": "[Mo in 11th H.", "actioneffect": "efekt"}, # duplikat (sig+opis)
{"significator": "[Mo in 11th H.", "actioneffect": "inny efekt"}, # ten sam sig, inny opis
]})
facets = {f["type"]: f for f in build_report(positions, data)["objects"][0]["facets"]}
assert facets["house"]["count"] == 2 # duplikat odsiany, różny opis zostaje
def test_aspect_facet():
positions = [
{"name": "Sun", "sign": "Taurus", "direction": "D", "house": 11},
{"name": "Moon", "sign": "Taurus", "direction": "D", "house": 11},
]
aspects = [{"obj1": "Sun", "obj2": "Moon", "aspect": "conjunction", "orb": 2.0}]
data = FakeData({"[Su": [{"significator": "[Su [conj [Mo", "actioneffect": "złączeni"}]})
sun = build_report(positions, data, aspects=aspects)["objects"][0]
asp = [f for f in sun["facets"] if f["type"] == "aspect"]
assert asp and asp[0]["count"] == 1 and "Moon" in asp[0]["label"]
def test_grouping_by_effect():
positions = [{"name": "Mars", "sign": "Scorpio", "direction": "Rx", "house": 5}]
data = FakeData({"[Ma": [
{"significator": "[Ma in 5th H.", "actioneffect": "miscarriage"},
{"significator": "[Sa in 5th H.", "actioneffect": "miscarriage"}, # inny sig, ten sam opis
{"significator": "[Ma in 5th H.", "actioneffect": "fever"},
]})
house = [f for f in build_report(positions, data, group=True)["objects"][0]["facets"]
if f["type"] == "house"][0]
groups = {g["effect"]: g for g in house["groups"]}
assert groups["miscarriage"]["count"] == 2
assert len(groups["miscarriage"]["significators"]) == 2
assert "score" in house
def test_facets_carry_score():
positions = [{"name": "Sun", "sign": "Taurus", "direction": "D", "house": 11}]
data = FakeData({"[Su": [{"significator": "[Su in [Tau", "actioneffect": "e"}]})
facets = build_report(positions, data)["objects"][0]["facets"]
assert all("score" in f for f in facets)
def test_ordinal():
assert _ordinal(1) == "1st" and _ordinal(2) == "2nd" and _ordinal(3) == "3rd"
assert _ordinal(4) == "4th" and _ordinal(11) == "11th" and _ordinal(12) == "12th"
def test_planet_abbr_covers_all_default_objects():
for o in DEFAULT_OBJECTS:
assert o in PLANET_ABBR