"""
Tests for AdaptiveRoutingPolicy.
"""

from datetime import datetime, timedelta, timezone

from llm_connect.adapter import MockLLMAdapter
from llm_connect.quality import QualityLedger, QualityObservation
from llm_connect.routing import AdaptiveRoutingPolicy, RoutingRule


def append_observation(
    ledger: QualityLedger,
    *,
    adapter_id: str,
    quality_score: float,
    cost_usd: float,
    task_type: str = "summarize",
    recorded_at: datetime | None = None,
) -> None:
    ledger.append(
        QualityObservation(
            task_type=task_type,
            adapter_id=adapter_id,
            model_id=f"{adapter_id}-model",
            cost_usd=cost_usd,
            quality_score=quality_score,
            latency_ms=100,
            tokens_in=100,
            tokens_out=50,
            baseline_adapter_id="baseline",
            recorded_at=recorded_at or datetime(2026, 5, 17, tzinfo=timezone.utc),
        )
    )


class TestAdaptiveRoutingPolicy:
    def _adapter(self, name: str) -> MockLLMAdapter:
        return MockLLMAdapter(mock_response=name)

    def test_selects_cheapest_adapter_that_clears_quality_floor(self, tmp_path):
        cheap = self._adapter("cheap")
        smart = self._adapter("smart")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(ledger, adapter_id="cheap", quality_score=0.7, cost_usd=0.01)
        append_observation(ledger, adapter_id="smart", quality_score=0.9, cost_usd=0.03)

        policy = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=cheap)],
            ledger=ledger,
            adapters_by_id={"cheap": cheap, "smart": smart},
        )

        assert policy.resolve("summarize", quality_floor=0.8) is smart

    def test_prefers_lower_observed_cost_when_multiple_adapters_clear_floor(self, tmp_path):
        cheap = self._adapter("cheap")
        smart = self._adapter("smart")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(ledger, adapter_id="cheap", quality_score=0.9, cost_usd=0.01)
        append_observation(ledger, adapter_id="smart", quality_score=0.95, cost_usd=0.03)

        policy = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=smart)],
            ledger=ledger,
            adapters_by_id={"cheap": cheap, "smart": smart},
        )

        assert policy.resolve("summarize", quality_floor=0.8) is cheap

    def test_equal_cost_tie_prefers_static_rule_prefer(self, tmp_path):
        candidate = self._adapter("candidate")
        preferred = self._adapter("preferred")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(ledger, adapter_id="candidate", quality_score=0.9, cost_usd=0.01)
        append_observation(ledger, adapter_id="preferred", quality_score=0.9, cost_usd=0.01)

        policy = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=preferred)],
            ledger=ledger,
            adapters_by_id={"candidate": candidate, "preferred": preferred},
        )

        assert policy.resolve("summarize", quality_floor=0.8) is preferred

    def test_cold_start_falls_through_to_static_policy(self, tmp_path):
        preferred = self._adapter("preferred")
        fallback = self._adapter("fallback")
        policy = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=preferred, fallback=fallback)],
            ledger=QualityLedger(tmp_path / "quality.jsonl"),
            adapters_by_id={"preferred": preferred, "fallback": fallback},
        )

        assert policy.resolve("summarize", quality_floor=0.8) is preferred

    def test_window_size_changes_observed_mean_quality(self, tmp_path):
        cheap = self._adapter("cheap")
        smart = self._adapter("smart")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(
            ledger,
            adapter_id="cheap",
            quality_score=0.9,
            cost_usd=0.01,
            recorded_at=datetime(2026, 5, 16, tzinfo=timezone.utc),
        )
        append_observation(
            ledger,
            adapter_id="cheap",
            quality_score=0.7,
            cost_usd=0.01,
            recorded_at=datetime(2026, 5, 17, tzinfo=timezone.utc),
        )
        append_observation(ledger, adapter_id="smart", quality_score=0.9, cost_usd=0.03)

        recent_only = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=smart)],
            ledger=ledger,
            adapters_by_id={"cheap": cheap, "smart": smart},
            window_size=1,
        )
        wider_window = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=smart)],
            ledger=ledger,
            adapters_by_id={"cheap": cheap, "smart": smart},
            window_size=2,
        )

        assert recent_only.resolve("summarize", quality_floor=0.8) is smart
        assert wider_window.resolve("summarize", quality_floor=0.8) is cheap

    def test_stale_observations_are_ignored_by_max_age(self, tmp_path):
        stale = self._adapter("stale")
        fresh = self._adapter("fresh")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(
            ledger,
            adapter_id="stale",
            quality_score=1.0,
            cost_usd=0.01,
            recorded_at=datetime(2020, 1, 1, tzinfo=timezone.utc),
        )
        append_observation(
            ledger,
            adapter_id="fresh",
            quality_score=0.9,
            cost_usd=0.03,
            recorded_at=datetime.now(timezone.utc),
        )

        policy = AdaptiveRoutingPolicy(
            rules=[RoutingRule("summarize", prefer=stale)],
            ledger=ledger,
            adapters_by_id={"stale": stale, "fresh": fresh},
            max_age=timedelta(days=1),
        )

        assert policy.resolve("summarize", quality_floor=0.8) is fresh

    def test_static_fallback_chain_is_preserved_when_no_candidate_qualifies(self, tmp_path):
        preferred = self._adapter("preferred")
        fallback = self._adapter("fallback")
        ledger = QualityLedger(tmp_path / "quality.jsonl")
        append_observation(ledger, adapter_id="preferred", quality_score=0.6, cost_usd=0.01)
        append_observation(ledger, adapter_id="fallback", quality_score=0.7, cost_usd=0.005)

        policy = AdaptiveRoutingPolicy(
            rules=[
                RoutingRule(
                    "summarize",
                    prefer=preferred,
                    max_cost_per_1k=1.0,
                    fallback=fallback,
                )
            ],
            ledger=ledger,
            adapters_by_id={"preferred": preferred, "fallback": fallback},
        )

        assert policy.resolve("summarize", 2.0, quality_floor=0.8) is fallback