"""Spięcie osi czasu z bazą interpretacji (LOG-14 → 1B→2B)."""
from app.significators import _event_tokens, interpret_events


class FakeData:
    def __init__(self, rows_by_value):
        self.rows_by_value = rows_by_value

    def search(self, key, value, exact, limit, fields=None):
        rows = self.rows_by_value.get(value, [])
        return {"provider": "fake", "total": len(rows), "rows": rows}


def test_event_tokens_solar_arc():
    ev = {"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"}
    assert _event_tokens(ev) == ["[Ve", "[conj", "[NN"]


def test_event_tokens_solar_arc_to_angle_has_no_target_token():
    ev = {"technique": "solar_arc", "directed": "Sun", "aspect": "square", "target": "MC"}
    assert _event_tokens(ev) == ["[Su", "[sq"]     # MC nie ma tokenu planety


def test_event_tokens_profection():
    ev = {"technique": "profection", "lord": "Saturn", "sign": "Capricorn"}
    assert _event_tokens(ev) == ["[Sa", "[Cap"]


def test_solar_return_has_no_tokens():
    assert _event_tokens({"technique": "solar_return"}) == []


def test_interpret_attaches_matches_with_all_tokens():
    events = [
        {"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"},
        {"technique": "solar_return"},
    ]
    data = FakeData({"[Ve": [
        {"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"},   # wszystkie tokeny
        {"significator": "[Ve [conj [Mo", "actioneffect": "inny"},                # brak [NN
        {"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"},   # duplikat
    ]})
    interpret_events(events, data)
    assert events[0]["interpretations_count"] == 1                # duplikat odsiany, tylko z [NN
    assert events[0]["interpretations"][0]["expanded"] == "Venus conjunction North Node"
    assert "interpretations" not in events[1]                     # solar_return pominięty