"""Unit tests for src/my_deepagent/monitoring/cost_estimator.py."""

from __future__ import annotations

from unittest.mock import MagicMock

import pytest

from my_deepagent.monitoring.cost_estimator import (
    _DEFAULT_INPUT_TOKENS,
    _DEFAULT_OUTPUT_TOKENS,
    PhaseCostEstimate,
    WorkflowCostEstimate,
    estimate_phase,
    estimate_workflow,
)
from my_deepagent.monitoring.pricing import ModelPrice, PricingCache

# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------


def _make_pricing(model: str = "anthropic/claude-sonnet-4-6") -> PricingCache:
    cache = PricingCache()
    cache.set(
        [
            ModelPrice(
                model=model,
                input_per_1k_usd=0.003,
                output_per_1k_usd=0.015,
                context_length=200000,
            )
        ]
    )
    return cache


def _make_persona(
    model: str = "anthropic/claude-sonnet-4-6",
    max_tokens: int | None = None,
) -> object:
    p = MagicMock()
    p.name = "test-persona"
    p.version = 1
    p.model = model
    p.model_params = {"max_tokens": max_tokens} if max_tokens else {}
    return p


def _make_phase(key: str = "spec") -> MagicMock:
    phase = MagicMock()
    phase.key = key
    return phase


def _make_binding(persona: object) -> MagicMock:
    b = MagicMock()
    b.persona = persona
    return b


# ---------------------------------------------------------------------------
# estimate_phase
# ---------------------------------------------------------------------------


def test_estimate_phase_known_model_correct_cost() -> None:
    pricing = _make_pricing("anthropic/claude-sonnet-4-6")
    persona = _make_persona("anthropic/claude-sonnet-4-6")
    phase = _make_phase("spec")
    est = estimate_phase(phase, persona, pricing)  # type: ignore[arg-type]

    expected_cost = _DEFAULT_INPUT_TOKENS / 1000.0 * 0.003 + _DEFAULT_OUTPUT_TOKENS / 1000.0 * 0.015
    assert isinstance(est, PhaseCostEstimate)
    assert est.phase_key == "spec"
    assert est.persona_name == "test-persona@1"
    assert est.model == "anthropic/claude-sonnet-4-6"
    assert est.estimated_input_tokens == _DEFAULT_INPUT_TOKENS
    assert est.estimated_output_tokens == _DEFAULT_OUTPUT_TOKENS
    assert est.estimated_cost_usd == pytest.approx(expected_cost)


def test_estimate_phase_unknown_model_returns_zero_cost() -> None:
    pricing = PricingCache()  # empty
    persona = _make_persona("unknown/model-xyz")
    phase = _make_phase("unknown_phase")
    est = estimate_phase(phase, persona, pricing)  # type: ignore[arg-type]
    assert est.estimated_cost_usd == 0.0


def test_estimate_phase_max_tokens_override() -> None:
    pricing = _make_pricing()
    persona = _make_persona(max_tokens=2000)
    phase = _make_phase()
    est = estimate_phase(phase, persona, pricing)  # type: ignore[arg-type]
    assert est.estimated_output_tokens == 2000


def test_estimate_phase_default_output_tokens_when_no_max_tokens() -> None:
    pricing = _make_pricing()
    persona = _make_persona()  # no max_tokens
    phase = _make_phase()
    est = estimate_phase(phase, persona, pricing)  # type: ignore[arg-type]
    assert est.estimated_output_tokens == _DEFAULT_OUTPUT_TOKENS


# ---------------------------------------------------------------------------
# estimate_workflow
# ---------------------------------------------------------------------------


def test_estimate_workflow_sums_phases() -> None:
    pricing = _make_pricing()
    phase1 = _make_phase("phase1")
    phase1.role = "researcher"
    phase2 = _make_phase("phase2")
    phase2.role = "reviewer"

    template = MagicMock()
    template.phases = [phase1, phase2]

    persona1 = _make_persona()
    persona2 = _make_persona()
    bindings = {
        "researcher": _make_binding(persona1),
        "reviewer": _make_binding(persona2),
    }

    est = estimate_workflow(template, bindings, pricing)  # type: ignore[arg-type]
    assert isinstance(est, WorkflowCostEstimate)
    assert len(est.phases) == 2
    assert est.total_usd == pytest.approx(sum(p.estimated_cost_usd for p in est.phases))
    assert est.total_usd > 0.0


def test_estimate_workflow_total_greater_than_zero_with_known_models() -> None:
    pricing = _make_pricing()
    phase = _make_phase("spec")
    phase.role = "researcher"

    template = MagicMock()
    template.phases = [phase]

    persona = _make_persona()
    bindings = {"researcher": _make_binding(persona)}

    est = estimate_workflow(template, bindings, pricing)  # type: ignore[arg-type]
    assert est.total_usd > 0.0