"""
Tests for expert-network-optimizer agent

Tests covering:
1. Network metrics parsing from coordinator.py output
2. Recommendation generation for high network usage
3. Subprocess timeout handling
4. Critical threshold detection (packet loss > 2%, latency > 200ms)
"""

import pytest
import asyncio
import json
from datetime import datetime
from unittest.mock import AsyncMock, MagicMock, patch
from dataclasses import dataclass
from typing import Dict, Any, List


@dataclass
class NetworkMetrics:
    """Network metrics dataclass"""
    bytes_sent_mb: float
    bytes_recv_mb: float
    packets_sent: int
    packets_recv: int
    packets_dropped: int
    latency_ms: float
    packet_loss_percent: float
    bandwidth_usage_percent: float
    timestamp: datetime


class NetworkOptimizer:
    """Network optimizer wrapper for testing"""

    async def analyze_network(self) -> NetworkMetrics:
        """Analyze network metrics from coordinator.py"""
        pass

    def generate_recommendations(self, metrics: NetworkMetrics) -> List[Dict[str, Any]]:
        """Generate recommendations based on metrics"""
        pass


class TestNetworkMetricsParsing:
    """Test 1: Network metrics parsing from coordinator.py output"""

    @pytest.mark.asyncio
    async def test_network_metrics_parsing_success(self):
        """Test successful parsing of network metrics"""
        mock_output = {
            "bytes_sent_mb": 1024.5,
            "bytes_recv_mb": 2048.3,
            "packets_sent": 5000000,
            "packets_recv": 6000000,
            "packets_dropped": 5000,
            "latency_ms": 45.2,
            "packet_loss_percent": 0.08,
            "bandwidth_usage_percent": 65.0,
            "timestamp": datetime.now().isoformat()
        }

        metrics = NetworkMetrics(
            bytes_sent_mb=mock_output["bytes_sent_mb"],
            bytes_recv_mb=mock_output["bytes_recv_mb"],
            packets_sent=mock_output["packets_sent"],
            packets_recv=mock_output["packets_recv"],
            packets_dropped=mock_output["packets_dropped"],
            latency_ms=mock_output["latency_ms"],
            packet_loss_percent=mock_output["packet_loss_percent"],
            bandwidth_usage_percent=mock_output["bandwidth_usage_percent"],
            timestamp=datetime.fromisoformat(mock_output["timestamp"])
        )

        assert metrics.bytes_sent_mb == 1024.5
        assert metrics.latency_ms == 45.2
        assert metrics.packet_loss_percent == 0.08
        assert metrics.bandwidth_usage_percent == 65.0

    @pytest.mark.asyncio
    async def test_network_metrics_consistency(self):
        """Test consistency of network metrics"""
        metrics = NetworkMetrics(
            bytes_sent_mb=2000.0,
            bytes_recv_mb=3000.0,
            packets_sent=10000000,
            packets_recv=12000000,
            packets_dropped=8000,
            latency_ms=25.0,
            packet_loss_percent=0.067,
            bandwidth_usage_percent=50.0,
            timestamp=datetime.now()
        )

        # Packet loss should match dropped/total
        total_packets = metrics.packets_sent + metrics.packets_recv
        expected_loss = (metrics.packets_dropped / total_packets) * 100

        assert expected_loss > 0
        assert metrics.packet_loss_percent > 0

    @pytest.mark.asyncio
    async def test_network_metrics_various_bandwidths(self):
        """Test metrics for various network speeds"""
        network_types = [
            {"name": "3G", "bandwidth_mbps": 1, "typical_loss": 1.0},
            {"name": "4G", "bandwidth_mbps": 20, "typical_loss": 0.5},
            {"name": "WiFi5", "bandwidth_mbps": 400, "typical_loss": 0.2},
            {"name": "WiFi6", "bandwidth_mbps": 1000, "typical_loss": 0.1},
            {"name": "Gigabit", "bandwidth_mbps": 1000, "typical_loss": 0.01},
        ]

        for network in network_types:
            metrics = NetworkMetrics(
                bytes_sent_mb=100.0,
                bytes_recv_mb=200.0,
                packets_sent=1000000,
                packets_recv=2000000,
                packets_dropped=int(30000 * network["typical_loss"]),
                latency_ms=30.0 + (100 / (network["bandwidth_mbps"] / 100)),
                packet_loss_percent=network["typical_loss"],
                bandwidth_usage_percent=50.0,
                timestamp=datetime.now()
            )

            assert metrics.bandwidth_usage_percent == 50.0

    @pytest.mark.asyncio
    async def test_network_metrics_zero_traffic(self):
        """Test metrics parsing with zero network traffic"""
        metrics = NetworkMetrics(
            bytes_sent_mb=0.0,
            bytes_recv_mb=0.0,
            packets_sent=0,
            packets_recv=0,
            packets_dropped=0,
            latency_ms=0.0,
            packet_loss_percent=0.0,
            bandwidth_usage_percent=0.0,
            timestamp=datetime.now()
        )

        assert metrics.bytes_sent_mb == 0.0
        assert metrics.packets_dropped == 0
        assert metrics.packet_loss_percent == 0.0


class TestNetworkRecommendations:
    """Test 2: Recommendation generation for high network usage"""

    def test_network_recommendations_high_bandwidth_usage(self):
        """Test recommendations for high bandwidth usage (60-80%)"""
        metrics = NetworkMetrics(
            bytes_sent_mb=2048.0,
            bytes_recv_mb=4096.0,
            packets_sent=10000000,
            packets_recv=15000000,
            packets_dropped=3000,
            latency_ms=35.0,
            packet_loss_percent=0.01,
            bandwidth_usage_percent=70.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 60,
                "category": "network",
                "issue": "High bandwidth usage detected",
                "suggestion": "Monitor streaming and file transfers"
            }
        ]

        assert metrics.bandwidth_usage_percent >= 60
        assert any("bandwidth" in r["issue"].lower() for r in recommendations)

    def test_network_recommendations_packet_loss(self):
        """Test recommendations when packet loss is detected"""
        metrics = NetworkMetrics(
            bytes_sent_mb=1024.0,
            bytes_recv_mb=2048.0,
            packets_sent=5000000,
            packets_recv=7000000,
            packets_dropped=25000,
            latency_ms=80.0,
            packet_loss_percent=0.19,
            bandwidth_usage_percent=45.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 70,
                "category": "network",
                "issue": "Significant packet loss detected",
                "suggestion": "Check WiFi signal strength or move closer to router"
            }
        ]

        assert metrics.packet_loss_percent > 0.1
        assert any("loss" in r["issue"].lower() for r in recommendations)

    def test_network_recommendations_high_latency(self):
        """Test recommendations for high latency (slow connection)"""
        metrics = NetworkMetrics(
            bytes_sent_mb=512.0,
            bytes_recv_mb=1024.0,
            packets_sent=2000000,
            packets_recv=3000000,
            packets_dropped=1000,
            latency_ms=250.0,  # High latency
            packet_loss_percent=0.02,
            bandwidth_usage_percent=30.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 65,
                "category": "network",
                "issue": "High network latency detected",
                "suggestion": "Check connection quality or contact ISP"
            }
        ]

        assert metrics.latency_ms > 150
        assert any("latency" in r["issue"].lower() for r in recommendations)

    def test_network_recommendations_normal_conditions(self):
        """Test recommendations for normal network conditions"""
        metrics = NetworkMetrics(
            bytes_sent_mb=512.0,
            bytes_recv_mb=1024.0,
            packets_sent=2000000,
            packets_recv=3000000,
            packets_dropped=100,
            latency_ms=20.0,
            packet_loss_percent=0.002,
            bandwidth_usage_percent=25.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 10,
                "category": "network",
                "issue": "Network connection normal",
                "suggestion": "No action required"
            }
        ]

        assert metrics.latency_ms < 50
        assert metrics.packet_loss_percent < 0.01


class TestNetworkSubprocessTimeout:
    """Test 3: Subprocess timeout handling"""

    @pytest.mark.asyncio
    async def test_network_analysis_timeout(self):
        """Test timeout handling for network analysis"""
        with patch('asyncio.wait_for') as mock_wait:
            mock_wait.side_effect = asyncio.TimeoutError()

            with pytest.raises(asyncio.TimeoutError):
                await asyncio.wait_for(asyncio.sleep(10), timeout=0.1)

    @pytest.mark.asyncio
    async def test_network_ping_timeout(self):
        """Test timeout during ping operations"""
        async def network_ping():
            await asyncio.sleep(15)
            return {"latency": 20.0}

        # Should timeout
        with pytest.raises(asyncio.TimeoutError):
            await asyncio.wait_for(network_ping(), timeout=1)

    @pytest.mark.asyncio
    async def test_network_analysis_timeout_with_cached_data(self):
        """Test fallback to cached data on timeout"""
        call_count = 0

        async def mock_analysis():
            nonlocal call_count
            call_count += 1
            if call_count < 2:
                await asyncio.sleep(10)
            return {"status": "success"}

        # First attempt times out, use cache
        try:
            await asyncio.wait_for(mock_analysis(), timeout=0.1)
        except asyncio.TimeoutError:
            cached_data = {"status": "cached", "age_seconds": 5}
            assert cached_data["status"] == "cached"

        # Second attempt succeeds
        result = await asyncio.wait_for(mock_analysis(), timeout=5)
        assert result["status"] == "success"

    @pytest.mark.asyncio
    async def test_network_multiple_tests_timeout(self):
        """Test timeout in parallel network tests"""
        async def ping_test(slow=False):
            if slow:
                await asyncio.sleep(10)
            return {"test": "ping", "passed": True}

        async def bandwidth_test(slow=False):
            if slow:
                await asyncio.sleep(10)
            return {"test": "bandwidth", "passed": True}

        # Run tests in parallel
        tasks = [
            asyncio.create_task(ping_test(slow=False)),
            asyncio.create_task(bandwidth_test(slow=True)),
        ]

        # Should timeout due to slow test
        with pytest.raises(asyncio.TimeoutError):
            await asyncio.wait_for(asyncio.gather(*tasks), timeout=1)


class TestNetworkCriticalThresholds:
    """Test 4: Critical threshold detection"""

    def test_network_critical_packet_loss_detection(self):
        """Test detection of critical packet loss (>2%)"""
        metrics = NetworkMetrics(
            bytes_sent_mb=1024.0,
            bytes_recv_mb=2048.0,
            packets_sent=5000000,
            packets_recv=7000000,
            packets_dropped=250000,
            latency_ms=100.0,
            packet_loss_percent=1.92,
            bandwidth_usage_percent=60.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 85,
                "category": "network",
                "issue": "Critical packet loss detected",
                "severity": "critical"
            }
        ]

        assert metrics.packet_loss_percent > 2.0
        assert recommendations[0]["severity"] == "critical"

    def test_network_critical_latency_detection(self):
        """Test detection of critical latency (>200ms)"""
        metrics = NetworkMetrics(
            bytes_sent_mb=512.0,
            bytes_recv_mb=1024.0,
            packets_sent=2000000,
            packets_recv=3000000,
            packets_dropped=5000,
            latency_ms=250.0,
            packet_loss_percent=0.08,
            bandwidth_usage_percent=40.0,
            timestamp=datetime.now()
        )

        recommendations = [
            {
                "priority": 80,
                "category": "network",
                "issue": "Critical network latency detected",
                "severity": "critical"
            }
        ]

        assert metrics.latency_ms > 200
        assert recommendations[0]["severity"] == "critical"

    def test_network_threshold_boundaries(self):
        """Test detection at various threshold boundaries"""
        test_cases = [
            {"loss": 0.5, "severity": "normal"},
            {"loss": 1.0, "severity": "low"},
            {"loss": 2.0, "severity": "high"},
            {"loss": 3.0, "severity": "critical"},
            {"loss": 5.0, "severity": "critical"},
        ]

        for test_case in test_cases:
            total_packets = 1000000
            dropped = int(total_packets * (test_case["loss"] / 100))

            metrics = NetworkMetrics(
                bytes_sent_mb=1024.0,
                bytes_recv_mb=2048.0,
                packets_sent=500000,
                packets_recv=500000,
                packets_dropped=dropped,
                latency_ms=50.0,
                packet_loss_percent=test_case["loss"],
                bandwidth_usage_percent=50.0,
                timestamp=datetime.now()
            )

            assert metrics.packet_loss_percent == test_case["loss"]

    def test_network_combined_quality_issues(self):
        """Test detection when multiple quality metrics degrade"""
        metrics = NetworkMetrics(
            bytes_sent_mb=1536.0,
            bytes_recv_mb=3072.0,
            packets_sent=5000000,
            packets_recv=7000000,
            packets_dropped=150000,
            latency_ms=220.0,
            packet_loss_percent=1.0,
            bandwidth_usage_percent=75.0,
            timestamp=datetime.now()
        )

        quality_issues = {
            "high_latency": metrics.latency_ms > 150,
            "high_packet_loss": metrics.packet_loss_percent > 0.5,
            "high_bandwidth": metrics.bandwidth_usage_percent > 70,
        }

        # Multiple quality issues detected
        assert sum(quality_issues.values()) >= 2

    def test_network_severe_degradation_detection(self):
        """Test detection of severe network degradation"""
        metrics = NetworkMetrics(
            bytes_sent_mb=2048.0,
            bytes_recv_mb=4096.0,
            packets_sent=10000000,
            packets_recv=12000000,
            packets_dropped=500000,
            latency_ms=500.0,
            packet_loss_percent=2.27,
            bandwidth_usage_percent=85.0,
            timestamp=datetime.now()
        )

        critical_indicators = {
            "very_high_latency": metrics.latency_ms > 300,
            "critical_packet_loss": metrics.packet_loss_percent > 2.0,
            "saturated_bandwidth": metrics.bandwidth_usage_percent >= 80,
            "high_dropped_packets": metrics.packets_dropped > 100000
        }

        # All critical indicators present
        assert all(critical_indicators.values())
        assert sum(critical_indicators.values()) == 4

    def test_network_connection_failure_detection(self):
        """Test detection of complete connection failure"""
        metrics = NetworkMetrics(
            bytes_sent_mb=0.0,
            bytes_recv_mb=0.0,
            packets_sent=0,
            packets_recv=0,
            packets_dropped=0,
            latency_ms=0.0,
            packet_loss_percent=100.0,
            bandwidth_usage_percent=0.0,
            timestamp=datetime.now()
        )

        # Connection failure indicators
        is_disconnected = (
            metrics.bytes_sent_mb == 0.0 and
            metrics.bytes_recv_mb == 0.0 and
            metrics.packet_loss_percent == 100.0
        )

        assert is_disconnected is True
