"""Subscription runs track tokens but report zero cost."""

from __future__ import annotations

from agents.usage import Usage

from strix.report.usage import LLMUsageLedger


def _usage() -> Usage:
    usage = Usage()
    usage.requests = 1
    usage.input_tokens = 1000
    usage.output_tokens = 200
    usage.total_tokens = 1200
    return usage


def test_zero_cost_ledger_keeps_tokens_but_reports_no_cost() -> None:
    ledger = LLMUsageLedger()
    ledger.zero_cost = True
    ledger.record(agent_id="a", usage=_usage(), agent_name="strix", model="gpt-5.5")

    record = ledger.to_record()
    assert record["cost"] == 0.0
    assert record["total_tokens"] == 1200
    assert record["input_tokens"] == 1000
    assert record["output_tokens"] == 200
    assert ledger.total_cost == 0.0


def test_zero_cost_ledger_ignores_observed_cost() -> None:
    ledger = LLMUsageLedger()
    ledger.zero_cost = True
    ledger.record_observed_cost(4.20)
    assert ledger.total_cost == 0.0


def test_normal_ledger_still_estimates_cost() -> None:
    # Sanity check the flag is opt-in: without it, an OpenAI-native model still
    # accrues an estimated cost (proves zeroing is what suppresses it).
    ledger = LLMUsageLedger()
    ledger.record(agent_id="a", usage=_usage(), agent_name="strix", model="gpt-5.5")
    assert ledger.to_record()["total_tokens"] == 1200
    # Cost estimation depends on litellm's cost map; it should be >= 0 and not error.
    assert ledger.total_cost >= 0.0