/**
 * Hardware Backend Tools for MCP Server
 * Provides tools for managing quantum execution targets and hardware backends
 */

import { Tool } from '@modelcontextprotocol/sdk/types.js';
import { SetTargetSchema, QuantumBackends } from '../types/index.js';
import { getPythonBridge } from '../bridge/python-bridge.js';
import { Logger } from '../utils/logger.js';

const logger = new Logger('HardwareBackendTools');

/**
 * Tool for setting quantum execution target
 */
export const setQuantumTargetTool: Tool = {
  name: 'set_quantum_target',
  description: 'Set the quantum execution target (simulator or hardware backend)',
  inputSchema: {
    type: 'object',
    properties: {
      target: {
        type: 'string',
        description: 'Quantum target name',
        enum: Object.keys(QuantumBackends)
      },
      configuration: {
        type: 'object',
        description: 'Target-specific configuration options',
        properties: {
          shots: { type: 'integer', minimum: 1, maximum: 100000 },
          optimization_level: { type: 'integer', minimum: 0, maximum: 3 },
          api_key: { type: 'string', description: 'API key for hardware providers' },
          url: { type: 'string', description: 'Custom endpoint URL' },
          device: { type: 'string', description: 'Specific device name' },
          noise_model: { type: 'string', description: 'Noise model for simulation' },
          error_mitigation: { type: 'boolean', description: 'Enable error mitigation' }
        }
      }
    },
    required: ['target']
  }
};

/**
 * Tool for listing available quantum backends
 */
export const listQuantumBackendsTool: Tool = {
  name: 'list_quantum_backends',
  description: 'List all available quantum backends and their capabilities',
  inputSchema: {
    type: 'object',
    properties: {
      category: {
        type: 'string',
        enum: ['all', 'simulators', 'hardware'],
        default: 'all',
        description: 'Filter backends by category'
      },
      detailed: {
        type: 'boolean',
        default: false,
        description: 'Include detailed information about each backend'
      }
    }
  }
};

/**
 * Tool for getting platform information
 */
export const getPlatformInfoTool: Tool = {
  name: 'get_platform_info',
  description: 'Get information about the current quantum platform and available resources',
  inputSchema: {
    type: 'object',
    properties: {}
  }
};

/**
 * Tool for testing backend connectivity
 */
export const testBackendConnectivityTool: Tool = {
  name: 'test_backend_connectivity',
  description: 'Test connectivity to quantum hardware providers',
  inputSchema: {
    type: 'object',
    properties: {
      backend: {
        type: 'string',
        description: 'Backend to test',
        enum: Object.keys(QuantumBackends)
      },
      credentials: {
        type: 'object',
        description: 'Credentials for the backend',
        properties: {
          api_key: { type: 'string' },
          url: { type: 'string' },
          username: { type: 'string' },
          password: { type: 'string' }
        }
      }
    },
    required: ['backend']
  }
};

/**
 * Tool for GPU acceleration configuration
 */
export const configureGpuAccelerationTool: Tool = {
  name: 'configure_gpu_acceleration',
  description: 'Configure GPU acceleration for quantum simulations',
  inputSchema: {
    type: 'object',
    properties: {
      enable: {
        type: 'boolean',
        description: 'Enable or disable GPU acceleration'
      },
      device_id: {
        type: 'integer',
        minimum: 0,
        description: 'GPU device ID to use'
      },
      memory_limit: {
        type: 'number',
        description: 'GPU memory limit in GB'
      },
      target: {
        type: 'string',
        enum: ['qpp-gpu', 'density-matrix-gpu'],
        default: 'qpp-gpu',
        description: 'GPU-accelerated target'
      }
    },
    required: ['enable']
  }
};

/**
 * Implementation functions
 */

export async function handleSetQuantumTarget(input: any) {
  try {
    const bridge = getPythonBridge();
    
    const response = await bridge.setTarget(input.target, input.configuration);
    
    if (response.success) {
      logger.info(`Set quantum target to: ${input.target}`);
      
      let output = `Successfully set quantum target to: ${input.target}\n\n`;
      output += `Description: ${QuantumBackends[input.target as keyof typeof QuantumBackends]}\n`;
      
      if (input.configuration) {
        output += `\nConfiguration:\n`;
        for (const [key, value] of Object.entries(input.configuration)) {
          if (key !== 'api_key') { // Don't log sensitive information
            output += `  ${key}: ${value}\n`;
          } else {
            output += `  ${key}: [REDACTED]\n`;
          }
        }
      }
      
      return {
        content: [
          {
            type: 'text' as const,
            text: output
          }
        ]
      };
    } else {
      throw new Error(response.error || 'Failed to set quantum target');
    }
  } catch (error) {
    logger.error('Error setting quantum target:', error);
    return {
      content: [
        {
          type: 'text' as const,
          text: `Error setting quantum target: ${error instanceof Error ? error.message : String(error)}`
        }
      ],
      isError: true
    };
  }
}

export async function handleListQuantumBackends(input: any) {
  try {
    let output = `Available Quantum Backends:\n\n`;
    
    const simulators = ['qpp-cpu', 'qpp-gpu', 'density-matrix-cpu', 'tensor-network'];
    const hardware = ['ionq', 'quantinuum', 'quantum_machines', 'infleqtion', 'iqm', 'oqc', 'pasqal'];
    
    if (input.category === 'all' || input.category === 'simulators') {
      output += `🖥️  Simulators:\n`;
      for (const backend of simulators) {
        if (backend in QuantumBackends) {
          output += `  • ${backend}: ${QuantumBackends[backend as keyof typeof QuantumBackends]}\n`;
          
          if (input.detailed) {
            output += `    - Local execution\n`;
            output += `    - GPU support: ${backend.includes('gpu') ? 'Yes' : 'No'}\n`;
            output += `    - Max qubits: ${backend.includes('tensor') ? '40+' : '32'}\n`;
            output += `\n`;
          }
        }
      }
      output += `\n`;
    }
    
    if (input.category === 'all' || input.category === 'hardware') {
      output += `🔬 Hardware Providers:\n`;
      for (const backend of hardware) {
        if (backend in QuantumBackends) {
          output += `  • ${backend}: ${QuantumBackends[backend as keyof typeof QuantumBackends]}\n`;
          
          if (input.detailed) {
            output += `    - Remote execution\n`;
            output += `    - Authentication required\n`;
            output += `    - Variable queue times\n`;
            output += `\n`;
          }
        }
      }
    }
    
    output += `\nTo set a target, use: set_quantum_target\n`;
    output += `For GPU acceleration, ensure CUDA is installed and use GPU-enabled targets.\n`;
    
    return {
      content: [
        {
          type: 'text' as const,
          text: output
        }
      ]
    };
  } catch (error) {
    logger.error('Error listing quantum backends:', error);
    return {
      content: [
        {
          type: 'text' as const,
          text: `Error listing quantum backends: ${error instanceof Error ? error.message : String(error)}`
        }
      ],
      isError: true
    };
  }
}

export async function handleGetPlatformInfo(input: any) {
  try {
    const bridge = getPythonBridge();
    
    const response = await bridge.getPlatformInfo();
    
    if (response.success) {
      const result = response.result || {};
      
      let output = `Quantum Platform Information:\n\n`;
      output += `Platform Name: ${result.platform_name || 'Unknown'}\n`;
      output += `Number of QPUs: ${result.num_qpus || 'Unknown'}\n`;
      output += `Is Simulator: ${result.is_simulator !== undefined ? result.is_simulator : 'Unknown'}\n`;
      output += `Is Remote: ${result.is_remote !== undefined ? result.is_remote : 'Unknown'}\n`;
      
      // Add system information
      output += `\nSystem Information:\n`;
      output += `Node.js Version: ${process.version}\n`;
      output += `Platform: ${process.platform}\n`;
      output += `Architecture: ${process.arch}\n`;
      
      // GPU information (if available)
      const cudaDevice = process.env.CUDA_VISIBLE_DEVICES;
      if (cudaDevice) {
        output += `CUDA Visible Devices: ${cudaDevice}\n`;
      }
      
      return {
        content: [
          {
            type: 'text' as const,
            text: output
          }
        ]
      };
    } else {
      throw new Error(response.error || 'Failed to get platform information');
    }
  } catch (error) {
    logger.error('Error getting platform information:', error);
    return {
      content: [
        {
          type: 'text' as const,
          text: `Error getting platform information: ${error instanceof Error ? error.message : String(error)}`
        }
      ],
      isError: true
    };
  }
}

export async function handleTestBackendConnectivity(input: any) {
  try {
    const backend = input.backend;
    
    let output = `Testing connectivity to ${backend}...\n\n`;
    
    // Check if it's a simulator (always available)
    const simulators = ['qpp-cpu', 'qpp-gpu', 'density-matrix-cpu', 'tensor-network'];
    
    if (simulators.includes(backend)) {
      output += `✅ ${backend} is available (local simulator)\n`;
      
      if (backend.includes('gpu')) {
        const cudaDevice = process.env.CUDA_VISIBLE_DEVICES;
        if (cudaDevice) {
          output += `✅ CUDA device available: ${cudaDevice}\n`;
        } else {
          output += `⚠️  CUDA_VISIBLE_DEVICES not set, using default GPU\n`;
        }
      }
    } else {
      // Hardware backend - check credentials
      output += `🔗 ${backend} is a hardware provider\n`;
      
      if (input.credentials?.api_key) {
        output += `✅ API key provided\n`;
      } else {
        output += `❌ API key required for ${backend}\n`;
      }
      
      if (input.credentials?.url) {
        output += `✅ Custom URL provided: ${input.credentials.url}\n`;
      }
      
      output += `\nNote: Actual connectivity testing requires valid credentials and active connection.\n`;
    }
    
    return {
      content: [
        {
          type: 'text' as const,
          text: output
        }
      ]
    };
  } catch (error) {
    logger.error('Error testing backend connectivity:', error);
    return {
      content: [
        {
          type: 'text' as const,
          text: `Error testing backend connectivity: ${error instanceof Error ? error.message : String(error)}`
        }
      ],
      isError: true
    };
  }
}

export async function handleConfigureGpuAcceleration(input: any) {
  try {
    let output = `GPU Acceleration Configuration:\n\n`;
    
    if (input.enable) {
      output += `✅ Enabling GPU acceleration\n`;
      output += `Target: ${input.target || 'qpp-gpu'}\n`;
      
      if (input.device_id !== undefined) {
        output += `GPU Device ID: ${input.device_id}\n`;
        // Update environment variable
        process.env.CUDA_VISIBLE_DEVICES = input.device_id.toString();
      }
      
      if (input.memory_limit) {
        output += `Memory Limit: ${input.memory_limit} GB\n`;
      }
      
      // Attempt to set GPU target
      try {
        const bridge = getPythonBridge();
        const response = await bridge.setTarget(input.target || 'qpp-gpu');
        
        if (response.success) {
          output += `✅ Successfully configured GPU target\n`;
        } else {
          output += `❌ Failed to set GPU target: ${response.error}\n`;
        }
      } catch (error) {
        output += `❌ Error setting GPU target: ${error}\n`;
      }
      
      output += `\nNote: Ensure NVIDIA drivers and CUDA toolkit are installed for GPU acceleration.\n`;
    } else {
      output += `❌ Disabling GPU acceleration\n`;
      output += `Falling back to CPU simulation\n`;
      
      try {
        const bridge = getPythonBridge();
        await bridge.setTarget('qpp-cpu');
        output += `✅ Set target to CPU simulator\n`;
      } catch (error) {
        output += `❌ Error setting CPU target: ${error}\n`;
      }
    }
    
    return {
      content: [
        {
          type: 'text' as const,
          text: output
        }
      ]
    };
  } catch (error) {
    logger.error('Error configuring GPU acceleration:', error);
    return {
      content: [
        {
          type: 'text' as const,
          text: `Error configuring GPU acceleration: ${error instanceof Error ? error.message : String(error)}`
        }
      ],
      isError: true
    };
  }
}

// Export all tools
export const hardwareBackendTools: Tool[] = [
  setQuantumTargetTool,
  listQuantumBackendsTool,
  getPlatformInfoTool,
  testBackendConnectivityTool,
  configureGpuAccelerationTool
];