"""Tests for offline replay module — Task 45."""

from __future__ import annotations

from uuid import uuid4

from services.intelligence_pipeline_v3.replay.reports import (
    DEFAULT_PROMOTION_GATES,
    FieldReport,
    GateStatus,
    PromotionGate,
    ReplayReport,
)
from services.intelligence_pipeline_v3.replay.runner import (
    ReplayConfig,
    ReplayMode,
    ReplayResult,
    ReplayRunner,
)


class TestReplayRunner:
    """Task 45.1: Run configurations on Gold Corpus."""

    def test_create_config(self):
        config = ReplayConfig.create(
            mode=ReplayMode.V3_FULL,
            corpus_version="1.0",
            pipeline_version="v3",
        )
        assert config.mode == ReplayMode.V3_FULL
        assert config.temperature == 0.0
        assert config.strict_schema is True

    def test_record_results(self):
        config = ReplayConfig.create(mode=ReplayMode.V3_FULL)
        runner = ReplayRunner(config=config)
        runner.start()
        runner.record_result(
            ReplayResult(
                document_id="doc-001",
                config_id=config.config_id,
                success=True,
                latency_ms=150.0,
                gpu_seconds=0.5,
            )
        )
        runner.record_result(
            ReplayResult(
                document_id="doc-002",
                config_id=config.config_id,
                success=True,
                latency_ms=200.0,
                gpu_seconds=0.3,
            )
        )
        runner.complete()
        assert runner.total_documents == 2
        assert runner.success_rate == 1.0
        assert runner.avg_latency_ms == 175.0
        assert runner.total_gpu_seconds == 0.8

    def test_failure_rate(self):
        config = ReplayConfig.create(mode=ReplayMode.CURRENT_V2)
        runner = ReplayRunner(config=config)
        runner.record_result(
            ReplayResult(
                document_id="doc-001",
                config_id=config.config_id,
                success=True,
                latency_ms=100,
            )
        )
        runner.record_result(
            ReplayResult(
                document_id="doc-002",
                config_id=config.config_id,
                success=False,
                latency_ms=50,
                errors=["schema_invalid"],
            )
        )
        assert runner.success_rate == 0.5
        assert runner.failure_count == 1

    def test_schema_validity_rate(self):
        config = ReplayConfig.create(mode=ReplayMode.V3_FAST_PATH)
        runner = ReplayRunner(config=config)
        for i in range(10):
            runner.record_result(
                ReplayResult(
                    document_id=f"doc-{i}",
                    config_id=config.config_id,
                    success=True,
                    latency_ms=100,
                    schema_valid=(i < 9),  # 1 invalid
                )
            )
        assert runner.schema_validity_rate == 0.9


class TestPromotionGates:
    """Task 45.3-45.4: Gate evaluation and safety-critical enforcement."""

    def test_gate_passes_above_threshold(self):
        gate = PromotionGate(
            name="entity_f1",
            metric_name="entity_f1",
            threshold=0.85,
            direction="above",
        )
        assert gate.evaluate(0.90) == GateStatus.PASSED
        assert gate.evaluate(0.80) == GateStatus.FAILED

    def test_gate_passes_below_threshold(self):
        gate = PromotionGate(
            name="calibration",
            metric_name="ece",
            threshold=0.08,
            direction="below",
        )
        assert gate.evaluate(0.05) == GateStatus.PASSED
        assert gate.evaluate(0.10) == GateStatus.FAILED

    def test_replay_report_evaluate_all_gates(self):
        report = ReplayReport(
            report_id=uuid4(),
            config_id=uuid4(),
            baseline_config_id=uuid4(),
        )
        metrics = {
            "entity_f1": 0.92,
            "evidence_support_rate": 0.90,
            "schema_validity_rate": 0.995,
            "calibration_ece": 0.05,
            "fast_path_rate": 0.70,
            "gpu_seconds_ratio": 0.40,
        }
        results = report.evaluate_gates(metrics)
        assert results["entity_f1"] == GateStatus.PASSED
        assert results["evidence_support_rate"] == GateStatus.PASSED
        assert results["schema_validity"] == GateStatus.PASSED
        assert report.all_safety_gates_passed

    def test_safety_critical_gate_failure(self):
        report = ReplayReport(
            report_id=uuid4(),
            config_id=uuid4(),
            baseline_config_id=uuid4(),
        )
        metrics = {
            "entity_f1": 0.0,  # Regression — fails gate
            "evidence_support_rate": 0.90,
            "schema_validity_rate": 0.995,
            "calibration_ece": 0.05,
            "fast_path_rate": 0.70,
            "gpu_seconds_ratio": 0.40,
        }
        report.evaluate_gates(metrics)
        # entity_f1 gate threshold is 0.0 (no regression), but the gate
        # checks value >= threshold. 0.0 >= 0.0 passes.
        # Let's check a real failure case
        metrics["evidence_support_rate"] = 0.50  # Below 85% threshold
        report.evaluate_gates(metrics)
        assert not report.all_safety_gates_passed

    def test_default_gates_exist(self):
        assert len(DEFAULT_PROMOTION_GATES) >= 5
        safety_gates = [g for g in DEFAULT_PROMOTION_GATES if g.safety_critical]
        assert len(safety_gates) >= 2


class TestFieldReport:
    """Task 45.2: Field-level reports."""

    def test_field_report_accuracy(self):
        report = FieldReport(
            field_name="entity",
            precision=0.90,
            recall=0.85,
            f1=0.87,
            support_count=100,
            error_count=10,
        )
        assert report.accuracy == 0.9

    def test_zero_support(self):
        report = FieldReport(field_name="relation", support_count=0)
        assert report.accuracy == 0.0