from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier


def test_genome_creation_defaults():
    g = HypothesisAgentGenome(
        system_prompt="Pensa come un fisico.",
        feature_access=["close", "volume"],
        temperature=0.9,
        top_p=0.95,
        model_tier=ModelTier.C,
        lookback_window=200,
        cognitive_style="physicist",
    )
    assert g.id is not None
    assert g.parent_ids == []
    assert g.generation == 0


def test_genome_serialization_roundtrip():
    g = HypothesisAgentGenome(
        system_prompt="Pensa come un biologo.",
        feature_access=["close", "high", "low"],
        temperature=1.1,
        top_p=0.9,
        model_tier=ModelTier.C,
        lookback_window=300,
        cognitive_style="biologist",
        parent_ids=["abc"],
        generation=5,
    )
    payload = g.to_dict()
    g2 = HypothesisAgentGenome.from_dict(payload)
    assert g2.system_prompt == g.system_prompt
    assert g2.feature_access == g.feature_access
    assert g2.temperature == g.temperature
    assert g2.parent_ids == g.parent_ids
    assert g2.generation == g.generation
    assert g2.id == g.id


def test_genome_id_is_deterministic_on_content():
    g1 = HypothesisAgentGenome(
        system_prompt="X", feature_access=["close"], temperature=0.5,
        top_p=0.9, model_tier=ModelTier.C, lookback_window=100, cognitive_style="x",
    )
    g2 = HypothesisAgentGenome(
        system_prompt="X", feature_access=["close"], temperature=0.5,
        top_p=0.9, model_tier=ModelTier.C, lookback_window=100, cognitive_style="x",
    )
    assert g1.id == g2.id