import { analyzeToolHandler, analyzeToolSchema } from '../../src/tools';
import { Logger } from 'pino';
import fs from 'fs/promises';
// import * as AIProviders from '../../src/utils/ai-providers'; // No longer using wildcard import for mocks
import { Result } from '@modelcontextprotocol/sdk/types.js';
import { AIProvider } from '../../src/types';

// Mock Logger
const mockLogger: Logger = {
  debug: jest.fn(),
  info: jest.fn(),
  warn: jest.fn(),
  error: jest.fn(),
  fatal: jest.fn(),
  child: jest.fn().mockReturnThis(),
  flush: jest.fn(),
  level: 'info',
  levels: { values: { info: 30 }, labels: { '30': 'info' } }
} as unknown as Logger;

// Mock fs.readFile
jest.mock('fs/promises', () => ({
  ...jest.requireActual('fs/promises'),
  readFile: jest.fn(),
  access: jest.fn().mockResolvedValue(undefined),
}));

// --- Advanced Mocking Strategy for ai-providers ---
// These will hold the current mock implementations for each function.
// Tests will modify these variables to change mock behavior.
let currentParseAIProvidersImpl: (...args: any[]) => AIProvider[] = () => [];
let currentIsProviderAvailableImpl: (...args: any[]) => Promise<boolean> = async () => false;
let currentAnalyzeImageWithProviderImpl: (...args: any[]) => Promise<string> = async () => 'Mocked AI Response';
let currentGetDefaultModelForProviderImpl: (...args: any[]) => string = () => 'unknown-default';

jest.mock('../../src/utils/ai-providers', () => ({
  __esModule: true,
  // The mocked functions will call the current implementations stored in the variables above.
  parseAIProviders: (...args: any[]) => currentParseAIProvidersImpl(...args),
  isProviderAvailable: (...args: any[]) => currentIsProviderAvailableImpl(...args),
  analyzeImageWithProvider: (...args: any[]) => currentAnalyzeImageWithProviderImpl(...args),
  getDefaultModelForProvider: (...args: any[]) => currentGetDefaultModelForProviderImpl(...args),
}));
// --- End of Advanced Mocking Strategy ---

const MOCK_IMAGE_PATH = '/mock/path/to/image.png';
const MOCK_IMAGE_BASE64 = 'mockbase64string';
const MOCK_QUESTION = 'What is in this image?';

describe('analyzeToolHandler Integration Tests', () => {
  // Hold onto the original fs.readFile mock to reset it if needed, though usually jest.clearAllMocks() or mockClear() on the function itself is enough.
  const originalReadFileMock = fs.readFile as jest.Mock;

  beforeEach(() => {
    // Reset implementations to their defaults for each test
    currentParseAIProvidersImpl = () => [];
    currentIsProviderAvailableImpl = async () => false;
    currentAnalyzeImageWithProviderImpl = async () => 'Mocked AI Response';
    currentGetDefaultModelForProviderImpl = (provider: string) => {
      if (provider === 'ollama') return 'default-ollama-model';
      if (provider === 'openai') return 'default-openai-model';
      return 'unknown-default';
    };

    // Clear call history for fs.readFile (and other direct jest.fn mocks if any were used differently)
    originalReadFileMock.mockClear();
    // Setup default behavior for fs.readFile for each test
    originalReadFileMock.mockResolvedValue(Buffer.from(MOCK_IMAGE_BASE64, 'base64'));

    // Reset ENV VARS
    process.env.PEEKABOO_AI_PROVIDERS = '';
    process.env.OPENAI_API_KEY = '';
    process.env.PEEKABOO_OLLAMA_BASE_URL = 'http://localhost:11434';
  });

  it('should return error if PEEKABOO_AI_PROVIDERS is not configured (env var is empty)', async () => {
    // process.env.PEEKABOO_AI_PROVIDERS is already empty from beforeEach
    const args = analyzeToolSchema.parse({ image_path: MOCK_IMAGE_PATH, question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).toBe(true);
    const content = response.content as Array<{type: string, text?: string}>;
    expect(content[0]?.text).toContain('AI analysis not configured on this server');
  });

  it('should return error if image_path has an unsupported extension', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed past initial check
    currentParseAIProvidersImpl = () => [{ provider: 'ollama', model: 'llava'}];
    const args = analyzeToolSchema.parse({ image_path: '/mock/image.txt', question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).toBe(true);
    const content = response.content as Array<{type: string, text?: string}>;
    expect(content[0]?.text).toContain('Unsupported image format: .txt. Supported formats: .png, .jpg, .jpeg, .webp');
  });

  it('should successfully call specified provider (Ollama) if available', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const ollamaProvider: AIProvider = { provider: 'ollama', model: 'llava' }; 
    currentParseAIProvidersImpl = () => [ollamaProvider];
    currentIsProviderAvailableImpl = async (p: AIProvider) => p.provider === 'ollama';
    currentAnalyzeImageWithProviderImpl = async () => 'Ollama says: Test successful';
    const requestedModel = 'custom-ollama-model';
    const args = analyzeToolSchema.parse({ 
      image_path: MOCK_IMAGE_PATH, 
      question: MOCK_QUESTION,
      provider_config: { type: 'ollama', model: requestedModel }
    });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).not.toBe(true);
    expect(response.analysis_text).toBe('Ollama says: Test successful');
    expect(response.model_used).toBe(`ollama/${requestedModel}`);
  });

  it('should successfully call specified provider (OpenAI) if available, using model from PEEKABOO_AI_PROVIDERS if not specified in call', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const envOpenAIProvider: AIProvider = { provider: 'openai', model: 'gpt-4-from-env' };
    currentParseAIProvidersImpl = () => [envOpenAIProvider];
    currentIsProviderAvailableImpl = async (p: AIProvider) => p.provider === 'openai';
    currentAnalyzeImageWithProviderImpl = async () => 'OpenAI says: Test successful';
    process.env.OPENAI_API_KEY = 'test-key';
    const args = analyzeToolSchema.parse({ 
      image_path: MOCK_IMAGE_PATH, 
      question: MOCK_QUESTION,
      provider_config: { type: 'openai' } 
    });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).not.toBe(true);
    expect(response.analysis_text).toBe('OpenAI says: Test successful');
    expect(response.model_used).toBe('openai/gpt-4-from-env'); 
  });

  it('should use auto provider selection (first available from PEEKABOO_AI_PROVIDERS)', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const ollamaProviderEnv: AIProvider = { provider: 'ollama', model: 'ollama-model-from-env' };
    const openaiProviderEnv: AIProvider = { provider: 'openai', model: 'openai-model-from-env' };
    currentParseAIProvidersImpl = () => [ollamaProviderEnv, openaiProviderEnv];
    currentIsProviderAvailableImpl = async (p: AIProvider) => p.provider === 'ollama';
    currentAnalyzeImageWithProviderImpl = async () => 'Auto-selected Ollama response';
    const args = analyzeToolSchema.parse({ 
      image_path: MOCK_IMAGE_PATH, 
      question: MOCK_QUESTION
    });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).not.toBe(true);
    expect(response.analysis_text).toBe('Auto-selected Ollama response');
    expect(response.model_used).toBe('ollama/ollama-model-from-env'); 
  });

  it('should fallback to next provider if first in auto selection is unavailable', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const ollamaProviderEnv: AIProvider = { provider: 'ollama', model: 'ollama-model' };
    const openaiProviderEnv: AIProvider = { provider: 'openai', model: 'openai-model' };
    currentParseAIProvidersImpl = () => [ollamaProviderEnv, openaiProviderEnv];
    currentIsProviderAvailableImpl = async (p: AIProvider) => {
      if (p.provider === 'ollama') return false; 
      if (p.provider === 'openai') return true;  
      return false;
    };
    process.env.OPENAI_API_KEY = 'test-key'; 
    currentAnalyzeImageWithProviderImpl = async () => 'Fallback OpenAI response';
    const args = analyzeToolSchema.parse({ image_path: MOCK_IMAGE_PATH, question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).not.toBe(true);
    expect(response.analysis_text).toBe('Fallback OpenAI response');
    expect(response.model_used).toBe('openai/openai-model');
  });

  it('should return error if no configured providers are available during auto selection', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    currentParseAIProvidersImpl = () => [{ provider: 'ollama', model: 'llava' }]; // Configured one provider
    currentIsProviderAvailableImpl = async () => false; // But it's not available
    const args = analyzeToolSchema.parse({ image_path: MOCK_IMAGE_PATH, question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).toBe(true);
    const content = response.content as Array<{type: string, text?: string}>;
    // This error comes from determineProviderAndModel when no provider is operational.
    // analyzeToolHandler wraps this specific error.
    expect(content[0]?.text).toBe('No configured AI providers are currently operational.');
  });

  it('should handle error from analyzeImageWithProvider', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const ollamaProvider: AIProvider = { provider: 'ollama', model: 'llava' };
    currentParseAIProvidersImpl = () => [ollamaProvider];
    currentIsProviderAvailableImpl = async () => true;
    currentAnalyzeImageWithProviderImpl = async () => { throw new Error('Ollama connection refused'); };
    const args = analyzeToolSchema.parse({ image_path: MOCK_IMAGE_PATH, question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).toBe(true);
    const content = response.content as Array<{type: string, text?: string}>;
    expect(content[0]?.text).toContain('AI analysis failed: Ollama connection refused');
    expect((response._meta as any)?.backend_error_code).toBe('AI_PROVIDER_ERROR');
  });

  it('should use default model for a provider if not specified in PEEKABOO_AI_PROVIDERS string and not in call', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "mocked_providers_exist"; // Allow to proceed
    const ollamaParsedProvider: AIProvider = { provider: 'ollama', model: '' }; 
    currentParseAIProvidersImpl = () => [ollamaParsedProvider];
    currentIsProviderAvailableImpl = async (p: AIProvider) => p.provider === 'ollama';
    const defaultModel = 'default-llava-model-for-test';
    currentGetDefaultModelForProviderImpl = () => defaultModel; 
    currentAnalyzeImageWithProviderImpl = async () => 'Ollama default model response';
    const args = analyzeToolSchema.parse({ 
      image_path: MOCK_IMAGE_PATH, 
      question: MOCK_QUESTION,
      provider_config: { type: 'ollama' } 
    });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });
    expect(response.isError).not.toBe(true);
    expect(response.analysis_text).toBe('Ollama default model response');
    expect(response.model_used).toBe(`ollama/${defaultModel}`);
  });

  it('should return error if parseAIProviders returns empty even if PEEKABOO_AI_PROVIDERS env is set', async () => {
    process.env.PEEKABOO_AI_PROVIDERS = "some,csv,string"; // Env var is set
    currentParseAIProvidersImpl = () => []; // But parsing yields no valid providers

    const args = analyzeToolSchema.parse({ image_path: MOCK_IMAGE_PATH, question: MOCK_QUESTION });
    const response: Result = await analyzeToolHandler(args, { logger: mockLogger });

    expect(response.isError).toBe(true);
    const content = response.content as Array<{type: string, text?: string}>;
    expect(content[0]?.text).toBe('No valid AI providers found in PEEKABOO_AI_PROVIDERS configuration.');
  });

});