from signalcanvas_graph_based_market_signal_s.backtester import replay_deltas
from signalcanvas_graph_based_market_signal_s.privacy import aggregate_signals
from signalcanvas_graph_based_market_signal_s.nlp import generate_narrative


def test_aggregate_and_narrative():
    signals = [{"AAPL": 1.0}, {"AAPL": -0.2, "GOOG": 0.5}]
    aggregated = aggregate_signals(signals, budgets=0.0)
    # Without DP, we expect sums
    assert abs(aggregated["AAPL"] - (1.0 - 0.2)) < 1e-9
    assert aggregated["GOOG"] == 0.5

    narrative = generate_narrative({"AAPL": 0.8})
    assert isinstance(narrative, str)