"""
End-to-End Integration Tests for AetheroOS
"""
import pytest
import asyncio
import httpx
import json
from datetime import datetime, timedelta, UTC
import logging
from typing import Dict, Any, List
import docker

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

from unittest.mock import AsyncMock, patch

class TestSystemIntegration:
    @pytest.fixture
    def http_client(self):
        # Create mock client
        mock_client = AsyncMock()
        mock_client.get = AsyncMock()
        mock_client.post = AsyncMock()
        
        # Set up response mocks
        get_response = AsyncMock()
        get_response.json = AsyncMock()
        post_response = AsyncMock()
        post_response.json = AsyncMock()
        
        # Configure default returns
        mock_client.get.return_value = get_response
        mock_client.post.return_value = post_response
        
        # Return synchronously since we'll mock the async behavior
        return mock_client

    @pytest.fixture(scope="class")
    def mock_responses(self):
        return {
            "plan": {"task_id": "test_123"},
            "search": {"resources": ["resource1", "resource2"]},
            "analyze": {"analysis": "test analysis"},
            "synthesis": {"result": "test result"},
            "state": {"id": "state_123", "data": {"test": "data"}},
            "metrics": {"status": "success"},
            "alerts": [{"labels": {"alertname": "HighErrorRate"}}],
            "validation": {"metrics": {"accuracy": 0.9}, "findings": ["finding1"]},
            "graph": {"nodes": [{"id": "test_agent", "state": "processing"}]}
        }

    @pytest.mark.asyncio
    async def test_agent_communication_flow(self, http_client, mock_responses):
        """Test complete agent communication pipeline with mocked responses"""
        task_data = {
            "directive": "Test directive for agent communication",
            "priority": "high",
            "context": {"test": True}
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 200
        http_client.post.return_value.json.return_value = mock_responses["plan"]
        http_client.get.return_value.status_code = 200
        
        # Submit to planner agent
        response = await http_client.post(
            "http://localhost:8000/api/v1/plan",
            json=task_data
        )
        assert response.status_code == 200
        plan_result = await response.json()
        task_id = plan_result["task_id"]

        # Configure mock for scout agent
        http_client.get.return_value.json.return_value = mock_responses["search"]
        
        # Verify scout agent processing
        response = await http_client.get(
            f"http://localhost:8001/api/v1/search?task_id={task_id}"
        )
        assert response.status_code == 200
        scout_result = await response.json()
        assert "resources" in scout_result

        # Configure mock for analyst agent
        http_client.get.return_value.json.return_value = mock_responses["analyze"]
        
        # Verify analyst agent processing
        response = await http_client.get(
            f"http://localhost:8002/api/v1/analyze?task_id={task_id}"
        )
        assert response.status_code == 200
        analysis_result = await response.json()
        assert "analysis" in analysis_result

        # Configure mock for synthesis
        http_client.get.return_value.json.return_value = mock_responses["synthesis"]
        
        # Verify final synthesis
        response = await http_client.get(
            f"http://localhost:8004/api/v1/synthesis?task_id={task_id}"
        )
        assert response.status_code == 200
        synthesis_result = await response.json()
        assert "result" in synthesis_result

    @pytest.mark.asyncio
    async def test_memory_system_persistence(self, http_client, mock_responses):
        """Test Aethero_Mem data persistence and retrieval with mocked responses"""
        test_data = {
            "agent_id": "test_agent",
            "timestamp": datetime.now(UTC).isoformat(),
            "state": "processing",
            "data": {"test": "data"}
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 201
        http_client.post.return_value.json.return_value = mock_responses["state"]
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = mock_responses["state"]

        # Store state
        response = await http_client.post(
            "http://localhost:9091/api/v1/states",
            json=test_data
        )
        assert response.status_code == 201
        result = await response.json()
        state_id = result["id"]

        # Verify immediate retrieval
        response = await http_client.get(
            f"http://localhost:9091/api/v1/states/{state_id}"
        )
        assert response.status_code == 200
        stored_data = await response.json()
        assert stored_data["data"]["test"] == "data"

        # Verify persistence (no need to wait in mocked tests)
        response = await http_client.get(
            f"http://localhost:9091/api/v1/states/{state_id}"
        )
        assert response.status_code == 200
        persisted_data = await response.json()
        assert persisted_data == stored_data

    @pytest.mark.asyncio
    async def test_metrics_collection_flow(self, http_client, mock_responses):
        """Test metrics collection and monitoring integration with mocked responses"""
        # Generate test metrics
        test_metrics = {
            "agent_response_time_seconds": 0.1,
            "agent_memory_usage_bytes": 1024,
            "agent_cpu_usage_percent": 5.0
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 200
        http_client.post.return_value.json.return_value = mock_responses["metrics"]
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = {
            "data": {
                "result": [{"value": [1234567890, "0.1"]}]
            }
        }

        # Push metrics
        response = await http_client.post(
            "http://localhost:9091/metrics/job/test_agent",
            json=test_metrics
        )
        assert response.status_code == 200

        # Verify in Prometheus
        response = await http_client.get(
            "http://localhost:9090/api/v1/query",
            params={"query": 'agent_response_time_seconds{job="test_agent"}'}
        )
        assert response.status_code == 200
        result = await response.json()
        assert len(result["data"]["result"]) > 0

    @pytest.mark.asyncio
    async def test_alert_triggering(self, http_client, mock_responses):
        """Test alert triggering and notification flow with mocked responses"""
        # Trigger test alert condition
        test_metrics = {
            "agent_error_total": 100,  # Should trigger error rate alert
            "job": "test_agent"
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 200
        http_client.post.return_value.json.return_value = mock_responses["metrics"]
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = mock_responses["alerts"]

        # Push alert-triggering metrics
        response = await http_client.post(
            "http://localhost:9091/metrics/job/test_agent",
            json=test_metrics
        )
        assert response.status_code == 200

        # No need to wait in mocked tests
        # Verify alert in AlertManager
        response = await http_client.get(
            "http://localhost:9093/api/v2/alerts"
        )
        assert response.status_code == 200
        alerts = await response.json()
        assert any(
            alert["labels"].get("alertname") == "HighErrorRate"
            for alert in alerts
        )

    @pytest.mark.asyncio
    async def test_reflection_integration(self, http_client, mock_responses):
        """Test reflection agent integration with DeepEval using mocked responses"""
        # Submit test output for evaluation
        test_output = {
            "agent_id": "test_agent",
            "output": {
                "result": "test_result",
                "confidence": 0.8
            },
            "context": {
                "task_type": "test",
                "priority": "high"
            }
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 200
        http_client.post.return_value.json.return_value = mock_responses["validation"]
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = [mock_responses["validation"]]

        # Request evaluation
        response = await http_client.post(
            "http://localhost:8005/api/v1/validate",
            json=test_output
        )
        assert response.status_code == 200
        eval_result = await response.json()
        assert "metrics" in eval_result
        assert "findings" in eval_result

        # Verify reflection result storage
        response = await http_client.get(
            f"http://localhost:9091/api/v1/reflections?agent_id=test_agent"
        )
        assert response.status_code == 200
        stored_results = await response.json()
        assert len(stored_results) > 0

    @pytest.mark.asyncio
    async def test_visualization_updates(self, http_client, mock_responses):
        """Test LangGraph visualization updates with mocked responses"""
        state_update = {
            "agent_id": "test_agent",
            "state": "processing",
            "asl_tags": {"purpose": "test"}
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 200
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = mock_responses["graph"]

        # Send state update
        response = await http_client.post(
            "http://localhost:8080/api/v1/state",
            json=state_update
        )
        assert response.status_code == 200

        # Verify visualization update
        response = await http_client.get(
            "http://localhost:8080/api/v1/graph"
        )
        assert response.status_code == 200
        graph_data = await response.json()
        assert any(
            node["id"] == "test_agent" and node["state"] == "processing"
            for node in graph_data["nodes"]
        )

    @pytest.mark.asyncio
    async def test_system_recovery(self, http_client, mock_responses):
        """Test system recovery after component failure with mocked responses"""
        # Configure mock responses for failure state
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = {
            "data": {
                "result": [{"value": [1234567890, "0"]}]
            }
        }

        # Verify system detection of failure
        response = await http_client.get(
            "http://localhost:9090/api/v1/query",
            params={"query": 'up{job="aethero_mem"}'}
        )
        assert response.status_code == 200
        result = await response.json()
        assert result["data"]["result"][0]["value"][1] == "0"

        # Configure mock responses for recovery state
        http_client.get.return_value.status_code = 200

        # Verify system recovery
        response = await http_client.get(
            "http://localhost:9091/health"
        )
        assert response.status_code == 200

    @pytest.mark.asyncio
    async def test_data_consistency(self, http_client, mock_responses):
        """Test data consistency across system components with mocked responses"""
        decision = {
            "decision_id": f"test_dec_{datetime.now(UTC).timestamp()}",
            "agent_id": "test_agent",
            "decision": "test_decision",
            "context": {"test": True}
        }

        # Configure mock responses
        http_client.post.return_value.status_code = 201
        http_client.post.return_value.json.return_value = decision
        http_client.get.return_value.status_code = 200
        http_client.get.return_value.json.return_value = decision

        # Store decision
        response = await http_client.post(
            "http://localhost:9091/api/v1/decisions",
            json=decision
        )
        assert response.status_code == 201
        stored_decision = await response.json()

        # Verify in memory system
        response = await http_client.get(
            f"http://localhost:9091/api/v1/decisions/{decision['decision_id']}"
        )
        assert response.status_code == 200
        mem_decision = await response.json()
        assert mem_decision == stored_decision

        # Verify in reflection system
        response = await http_client.get(
            f"http://localhost:8005/api/v1/context/{decision['decision_id']}"
        )
        assert response.status_code == 200
        reflection_context = await response.json()
        assert reflection_context["decision_id"] == decision["decision_id"]

if __name__ == "__main__":
    pytest.main(["-v", __file__])