"""
Test suite for deployment.md documentation examples.
Tests the Python code snippets that can be validated.
"""

import pytest
import os
import time
from datetime import datetime, timezone
from unittest.mock import Mock, AsyncMock, patch
from typing import Dict, Any, List, Optional
from dataclasses import dataclass

# Test the Settings configuration class from deployment.md
def test_settings_configuration():
    """Test the Pydantic settings configuration from docs."""
    
    try:
        from pydantic_settings import BaseSettings
    except ImportError:
        # Mock pydantic_settings if not available
        from unittest.mock import MagicMock
        BaseSettings = MagicMock()
    
    from typing import Optional, List

    class Settings:
        """Application settings with validation (mocked for testing)."""
        
        def __init__(self):
            # Application
            self.environment: str = "development"
            self.debug: bool = False
            self.log_level: str = "INFO"
            
            # Server
            self.host: str = "127.0.0.1"
            self.port: int = 8000
            self.workers: int = 1
            
            # Model Provider
            self.litellm_url: str = "http://localhost:4000"
            self.litellm_api_key: str = "test-key"
            self.litellm_model: str = "gpt-3.5-turbo"
            
            # Memory
            self.jaf_memory_type: str = "memory"
            self.jaf_postgres_host: Optional[str] = None
            self.jaf_postgres_password: Optional[str] = None
            
            # Security
            self.cors_origins: List[str] = ["*"]
            self.api_rate_limit: int = 100
            self.api_rate_window: int = 60
            
            # Monitoring
            self.enable_metrics: bool = False
            self.sentry_dsn: Optional[str] = None

    # Test default settings
    settings = Settings()
    
    assert settings.environment == "development"
    assert settings.debug == False
    assert settings.log_level == "INFO"
    assert settings.host == "127.0.0.1"
    assert settings.port == 8000
    assert settings.litellm_url == "http://localhost:4000"
    assert settings.litellm_model == "gpt-3.5-turbo"
    assert settings.jaf_memory_type == "memory"
    assert settings.cors_origins == ["*"]
    assert settings.api_rate_limit == 100
    assert settings.enable_metrics == False

def test_prometheus_metrics_setup():
    """Test Prometheus metrics setup from docs."""
    
    # Mock prometheus_client completely since it might not be installed
    from unittest.mock import MagicMock
    
    # Create mock prometheus_client module
    prometheus_client = MagicMock()
    
    # Mock the metric classes
    mock_counter = Mock()
    mock_histogram = Mock()
    mock_gauge = Mock()
    
    prometheus_client.Counter = mock_counter
    prometheus_client.Histogram = mock_histogram
    prometheus_client.Gauge = mock_gauge
    
    # Simulate the metrics creation from docs
    REQUEST_COUNT = prometheus_client.Counter('jaf_requests_total', 'Total requests', ['method', 'endpoint', 'status'])
    REQUEST_DURATION = prometheus_client.Histogram('jaf_request_duration_seconds', 'Request duration')
    ACTIVE_CONVERSATIONS = prometheus_client.Gauge('jaf_active_conversations', 'Active conversations')
    
    # Test that metrics can be created
    assert REQUEST_COUNT is not None
    assert REQUEST_DURATION is not None
    assert ACTIVE_CONVERSATIONS is not None
    
    # Verify the mock calls
    mock_counter.assert_called_with('jaf_requests_total', 'Total requests', ['method', 'endpoint', 'status'])
    mock_histogram.assert_called_with('jaf_request_duration_seconds', 'Request duration')
    mock_gauge.assert_called_with('jaf_active_conversations', 'Active conversations')

def test_secret_manager_interface():
    """Test the SecretManager interface from docs."""
    
    class SecretManager:
        def __init__(self, provider="aws"):
            self.provider = provider
            # Mock the clients for testing
            if provider == "aws":
                self.client = Mock()
            elif provider == "azure":
                self.client = Mock()
        
        async def get_secret(self, secret_name: str) -> str:
            if self.provider == "aws":
                # Mock AWS response
                response = {'SecretString': f'secret-value-for-{secret_name}'}
                return response['SecretString']
            elif self.provider == "azure":
                # Mock Azure response
                secret = Mock()
                secret.value = f'azure-secret-for-{secret_name}'
                return secret.value
            return f'mock-secret-for-{secret_name}'

    # Test AWS provider
    aws_manager = SecretManager("aws")
    assert aws_manager.provider == "aws"
    
    # Test Azure provider
    azure_manager = SecretManager("azure")
    assert azure_manager.provider == "azure"

@pytest.mark.asyncio
async def test_secret_manager_get_secret():
    """Test SecretManager get_secret method."""
    
    class SecretManager:
        def __init__(self, provider="aws"):
            self.provider = provider
            self.client = Mock()
        
        async def get_secret(self, secret_name: str) -> str:
            if self.provider == "aws":
                response = {'SecretString': f'aws-secret-{secret_name}'}
                return response['SecretString']
            elif self.provider == "azure":
                return f'azure-secret-{secret_name}'
            return f'mock-secret-{secret_name}'

    # Test AWS secret retrieval
    aws_manager = SecretManager("aws")
    secret = await aws_manager.get_secret("api-key")
    assert secret == "aws-secret-api-key"
    
    # Test Azure secret retrieval
    azure_manager = SecretManager("azure")
    secret = await azure_manager.get_secret("database-password")
    assert secret == "azure-secret-database-password"

@pytest.mark.asyncio
async def test_health_check_structure():
    """Test the health check structure from docs."""
    
    # Mock dependencies
    memory_provider = Mock()
    model_provider = Mock()
    
    # Mock health check responses
    memory_provider.health_check = AsyncMock(return_value={
        "healthy": True,
        "latency_ms": 15
    })
    
    model_provider.get_completion = AsyncMock(return_value={
        "message": {"content": "test response"}
    })
    
    async def health_check():
        """Comprehensive health check."""
        health_data = {
            "status": "healthy",
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "version": "2.0.0",
            "checks": {}
        }
        
        # Check database connection
        try:
            if memory_provider:
                db_health = await memory_provider.health_check()
                health_data["checks"]["database"] = {
                    "status": "healthy" if db_health.get("healthy") else "unhealthy",
                    "latency_ms": db_health.get("latency_ms", 0)
                }
        except Exception as e:
            health_data["checks"]["database"] = {
                "status": "unhealthy",
                "error": str(e)
            }
        
        # Check model provider
        try:
            # Simple test request (mocked)
            test_response = await model_provider.get_completion(None, None, None)
            health_data["checks"]["model_provider"] = {"status": "healthy"}
        except Exception as e:
            health_data["checks"]["model_provider"] = {
                "status": "unhealthy",
                "error": str(e)
            }
        
        # Determine overall status
        all_healthy = all(
            check.get("status") == "healthy" 
            for check in health_data["checks"].values()
        )
        
        if not all_healthy:
            health_data["status"] = "unhealthy"
        
        return health_data
    
    # Test health check
    result = await health_check()
    
    assert result["status"] == "healthy"
    assert result["version"] == "2.0.0"
    assert "timestamp" in result
    assert "checks" in result
    assert result["checks"]["database"]["status"] == "healthy"
    assert result["checks"]["database"]["latency_ms"] == 15
    assert result["checks"]["model_provider"]["status"] == "healthy"

@pytest.mark.asyncio
async def test_health_check_with_failures():
    """Test health check with failing dependencies."""
    
    # Mock failing dependencies
    memory_provider = Mock()
    model_provider = Mock()
    
    memory_provider.health_check = AsyncMock(side_effect=Exception("Database connection failed"))
    model_provider.get_completion = AsyncMock(side_effect=Exception("Model provider unavailable"))
    
    async def health_check():
        """Health check with error handling."""
        health_data = {
            "status": "healthy",
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "version": "2.0.0",
            "checks": {}
        }
        
        # Check database connection
        try:
            if memory_provider:
                db_health = await memory_provider.health_check()
                health_data["checks"]["database"] = {
                    "status": "healthy" if db_health.get("healthy") else "unhealthy",
                    "latency_ms": db_health.get("latency_ms", 0)
                }
        except Exception as e:
            health_data["checks"]["database"] = {
                "status": "unhealthy",
                "error": str(e)
            }
        
        # Check model provider
        try:
            test_response = await model_provider.get_completion(None, None, None)
            health_data["checks"]["model_provider"] = {"status": "healthy"}
        except Exception as e:
            health_data["checks"]["model_provider"] = {
                "status": "unhealthy",
                "error": str(e)
            }
        
        # Determine overall status
        all_healthy = all(
            check.get("status") == "healthy" 
            for check in health_data["checks"].values()
        )
        
        if not all_healthy:
            health_data["status"] = "unhealthy"
        
        return health_data
    
    # Test health check with failures
    result = await health_check()
    
    assert result["status"] == "unhealthy"
    assert result["checks"]["database"]["status"] == "unhealthy"
    assert result["checks"]["database"]["error"] == "Database connection failed"
    assert result["checks"]["model_provider"]["status"] == "unhealthy"
    assert result["checks"]["model_provider"]["error"] == "Model provider unavailable"

def test_environment_variable_patterns():
    """Test environment variable patterns from docs."""
    
    # Test environment variable structure
    env_vars = {
        "ENVIRONMENT": "production",
        "DEBUG": "false",
        "LOG_LEVEL": "INFO",
        "HOST": "0.0.0.0",
        "PORT": "8000",
        "WORKERS": "4",
        "LITELLM_URL": "https://your-litellm-proxy.com",
        "LITELLM_API_KEY": "your-secure-api-key",
        "JAF_MEMORY_TYPE": "postgres",
        "JAF_POSTGRES_HOST": "your-postgres-host.com",
        "JAF_POSTGRES_PORT": "5432",
        "ENABLE_METRICS": "true",
        "API_RATE_LIMIT": "100"
    }
    
    # Test that all expected environment variables are defined
    assert env_vars["ENVIRONMENT"] == "production"
    assert env_vars["DEBUG"] == "false"
    assert env_vars["PORT"] == "8000"
    assert env_vars["JAF_MEMORY_TYPE"] == "postgres"
    assert env_vars["ENABLE_METRICS"] == "true"
    assert env_vars["API_RATE_LIMIT"] == "100"

def test_docker_configuration_validation():
    """Test Docker configuration patterns from docs."""
    
    # Test Dockerfile patterns
    dockerfile_commands = [
        "FROM python:3.11-slim",
        "WORKDIR /app",
        "COPY requirements.txt .",
        "RUN pip install --no-cache-dir -r requirements.txt",
        "COPY . .",
        "EXPOSE 8000",
        "CMD [\"python\", \"-m\", \"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]"
    ]
    
    # Verify essential Dockerfile commands are present
    assert any("FROM python" in cmd for cmd in dockerfile_commands)
    assert any("WORKDIR" in cmd for cmd in dockerfile_commands)
    assert any("EXPOSE 8000" in cmd for cmd in dockerfile_commands)
    assert any("uvicorn" in cmd for cmd in dockerfile_commands)

def test_requirements_txt_structure():
    """Test requirements.txt structure from docs."""
    
    # Test requirements structure
    requirements = [
        "jaf-py>=2.0.0",
        "fastapi>=0.104.0",
        "uvicorn[standard]>=0.24.0",
        "litellm>=1.0.0",
        "openai>=1.0.0",
        "redis>=5.0.0",
        "asyncpg>=0.29.0",
        "structlog>=23.0.0",
        "prometheus-client>=0.19.0",
        "python-dotenv>=1.0.0",
        "pydantic-settings>=2.0.0",
        "httpx>=0.25.0",
        "pytest>=7.0.0"
    ]
    
    # Verify essential packages are included
    jaf_packages = [req for req in requirements if "jaf-py" in req]
    web_packages = [req for req in requirements if any(pkg in req for pkg in ["fastapi", "uvicorn"])]
    model_packages = [req for req in requirements if any(pkg in req for pkg in ["litellm", "openai"])]
    
    assert len(jaf_packages) > 0, "JAF package should be included"
    assert len(web_packages) > 0, "Web framework packages should be included"
    assert len(model_packages) > 0, "Model provider packages should be included"

def test_kubernetes_configuration_structure():
    """Test Kubernetes configuration structure from docs."""
    
    # Test Kubernetes resource structure
    k8s_resources = {
        "namespace": {
            "apiVersion": "v1",
            "kind": "Namespace",
            "metadata": {"name": "jaf-system"}
        },
        "configmap": {
            "apiVersion": "v1",
            "kind": "ConfigMap",
            "metadata": {"name": "jaf-config", "namespace": "jaf-system"},
            "data": {
                "JAF_MEMORY_TYPE": "postgres",
                "ENVIRONMENT": "production"
            }
        },
        "deployment": {
            "apiVersion": "apps/v1",
            "kind": "Deployment",
            "metadata": {"name": "jaf-app", "namespace": "jaf-system"},
            "spec": {"replicas": 3}
        }
    }
    
    # Verify Kubernetes resource structure
    assert k8s_resources["namespace"]["kind"] == "Namespace"
    assert k8s_resources["configmap"]["kind"] == "ConfigMap"
    assert k8s_resources["deployment"]["kind"] == "Deployment"
    assert k8s_resources["deployment"]["spec"]["replicas"] == 3
    assert k8s_resources["configmap"]["data"]["JAF_MEMORY_TYPE"] == "postgres"

def test_monitoring_configuration():
    """Test monitoring configuration patterns from docs."""
    
    # Test monitoring setup
    monitoring_config = {
        "prometheus": {
            "enabled": True,
            "port": 9090,
            "metrics_path": "/metrics"
        },
        "grafana": {
            "enabled": True,
            "port": 3000,
            "admin_password": "secure-password"
        },
        "logging": {
            "level": "INFO",
            "format": "json",
            "structured": True
        }
    }
    
    # Verify monitoring configuration
    assert monitoring_config["prometheus"]["enabled"] == True
    assert monitoring_config["prometheus"]["port"] == 9090
    assert monitoring_config["grafana"]["enabled"] == True
    assert monitoring_config["logging"]["format"] == "json"
    assert monitoring_config["logging"]["structured"] == True

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