from multi_swarm.genome.hypothesis import ModelTier
from multi_swarm.llm.cost_tracker import CostTracker, estimate_cost


def test_estimate_cost_tier_c():
    cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.C)
    assert cost == 0.40 + 0.40


def test_estimate_cost_tier_b():
    cost = estimate_cost(input_tokens=1_000_000, output_tokens=1_000_000, tier=ModelTier.B)
    assert cost == 3.00 + 15.00


def test_tracker_accumulates():
    t = CostTracker()
    t.record(input_tokens=10_000, output_tokens=20_000, tier=ModelTier.C, run_id="r", agent_id="a")
    t.record(input_tokens=5_000, output_tokens=15_000, tier=ModelTier.C, run_id="r", agent_id="b")
    summary = t.summary()
    assert summary["calls"] == 2
    assert summary["input_tokens"] == 15_000
    assert summary["output_tokens"] == 35_000
    assert summary["cost_usd"] > 0


def test_tracker_per_tier_breakdown():
    t = CostTracker()
    t.record(input_tokens=10_000, output_tokens=10_000, tier=ModelTier.C, run_id="r", agent_id="a")
    t.record(input_tokens=10_000, output_tokens=10_000, tier=ModelTier.B, run_id="r", agent_id="b")
    summary = t.summary()
    assert "C" in summary["by_tier"]
    assert "B" in summary["by_tier"]