"""Tests para detect_time_column (grupo eda). Self-contained, sin DuckDB."""

from detect_time_column import detect_time_column


def test_golden_datetime_y_numericas():
    columns = [
        {"name": "fecha", "inferred_type": "datetime", "semantic_type": "datetime_iso"},
        {"name": "ventas", "inferred_type": "numeric"},
        {"name": "unidades", "inferred_type": "numeric"},
        {"name": "region", "inferred_type": "text"},
    ]
    res = detect_time_column(columns)
    assert res["time_col"] == "fecha"
    assert res["time_semantic"] == "datetime_iso"
    assert res["numeric_cols"] == ["ventas", "unidades"]
    assert res["n_datetime_cols"] == 1
    assert res["datetime_cols"] == ["fecha"]
    assert isinstance(res["reason"], str) and res["reason"]


def test_deteccion_por_semantic_type_date_eu():
    # inferred_type no es datetime, pero semantic_type date_eu => temporal.
    columns = [
        {"name": "id", "inferred_type": "numeric"},
        {"name": "dia", "inferred_type": "text", "semantic_type": "date_eu"},
        {"name": "importe", "inferred_type": "numeric"},
    ]
    res = detect_time_column(columns)
    assert res["time_col"] == "dia"
    assert res["time_semantic"] == "date_eu"
    assert res["numeric_cols"] == ["id", "importe"]
    assert res["n_datetime_cols"] == 1
    assert res["datetime_cols"] == ["dia"]


def test_sin_columna_temporal():
    columns = [
        {"name": "id", "inferred_type": "numeric"},
        {"name": "nombre", "inferred_type": "text"},
        {"name": "activo", "inferred_type": "boolean"},
    ]
    res = detect_time_column(columns)
    assert res["time_col"] is None
    assert res["time_semantic"] == ""
    assert res["numeric_cols"] == ["id"]
    assert res["n_datetime_cols"] == 0
    assert res["datetime_cols"] == []
    assert res["reason"] == "no se detecto columna de fecha/datetime"


def test_columns_none_no_revienta():
    res = detect_time_column(None)
    assert res["time_col"] is None
    assert res["time_semantic"] == ""
    assert res["numeric_cols"] == []
    assert res["n_datetime_cols"] == 0
    assert res["datetime_cols"] == []
    assert res["reason"] == "no se detecto columna de fecha/datetime"


def test_columns_vacia_no_revienta():
    res = detect_time_column([])
    assert res["time_col"] is None
    assert res["numeric_cols"] == []
    assert res["n_datetime_cols"] == 0


def test_columns_no_lista_no_revienta():
    # Un dict (no lista) tambien debe caer en el caso "no aplica".
    res = detect_time_column({"name": "fecha", "inferred_type": "datetime"})
    assert res["time_col"] is None
    assert res["numeric_cols"] == []


def test_elementos_basura_se_ignoran():
    columns = [
        None,
        "no soy un dict",
        42,
        {"name": "ts", "inferred_type": "datetime"},
        {"name": "valor", "inferred_type": "numeric"},
    ]
    res = detect_time_column(columns)
    assert res["time_col"] == "ts"
    assert res["numeric_cols"] == ["valor"]
    assert res["n_datetime_cols"] == 1


def test_varias_datetime_elige_la_primera():
    columns = [
        {"name": "created_at", "inferred_type": "datetime", "semantic_type": "datetime_iso"},
        {"name": "metric", "inferred_type": "numeric"},
        {"name": "updated_at", "inferred_type": "datetime", "semantic_type": "datetime_iso"},
        {"name": "fecha_baja", "inferred_type": "text", "semantic_type": "date_eu"},
    ]
    res = detect_time_column(columns)
    assert res["time_col"] == "created_at"
    assert res["time_semantic"] == "datetime_iso"
    assert res["n_datetime_cols"] == 3
    assert res["datetime_cols"] == ["created_at", "updated_at", "fecha_baja"]
    assert res["numeric_cols"] == ["metric"]