/**
 * Unit tests for OpenAI-compatible API controller
 * Tests that recordCollectedUsage is called correctly for token spending
 */

const mockSpendTokens = jest.fn().mockResolvedValue({});
const mockSpendStructuredTokens = jest.fn().mockResolvedValue({});
const mockRecordCollectedUsage = jest
  .fn()
  .mockResolvedValue({ input_tokens: 100, output_tokens: 50 });
const mockGetBalanceConfig = jest.fn().mockReturnValue({ enabled: true });
const mockGetTransactionsConfig = jest.fn().mockReturnValue({ enabled: true });

jest.mock('nanoid', () => ({
  nanoid: jest.fn(() => 'mock-nanoid-123'),
}));

jest.mock('@librechat/data-schemas', () => ({
  logger: {
    debug: jest.fn(),
    error: jest.fn(),
    warn: jest.fn(),
  },
}));

jest.mock('@librechat/agents', () => ({
  Callback: { TOOL_ERROR: 'TOOL_ERROR' },
  ToolEndHandler: jest.fn(),
  formatAgentMessages: jest.fn().mockReturnValue({
    messages: [],
    indexTokenCountMap: {},
  }),
  ChatModelStreamHandler: jest.fn().mockImplementation(() => ({
    handle: jest.fn(),
  })),
}));

jest.mock('@librechat/api', () => ({
  writeSSE: jest.fn(),
  createRun: jest.fn().mockResolvedValue({
    processStream: jest.fn().mockResolvedValue(undefined),
  }),
  createChunk: jest.fn().mockReturnValue({}),
  buildToolSet: jest.fn().mockReturnValue(new Set()),
  sendFinalChunk: jest.fn(),
  createSafeUser: jest.fn().mockReturnValue({ id: 'user-123' }),
  validateRequest: jest
    .fn()
    .mockReturnValue({ request: { model: 'agent-123', messages: [], stream: false } }),
  initializeAgent: jest.fn().mockResolvedValue({
    model: 'gpt-4',
    model_parameters: {},
    toolRegistry: {},
  }),
  getBalanceConfig: mockGetBalanceConfig,
  createErrorResponse: jest.fn(),
  getTransactionsConfig: mockGetTransactionsConfig,
  recordCollectedUsage: mockRecordCollectedUsage,
  buildNonStreamingResponse: jest.fn().mockReturnValue({ id: 'resp-123' }),
  createOpenAIStreamTracker: jest.fn().mockReturnValue({
    addText: jest.fn(),
    addReasoning: jest.fn(),
    toolCalls: new Map(),
    usage: { promptTokens: 0, completionTokens: 0, reasoningTokens: 0 },
  }),
  createOpenAIContentAggregator: jest.fn().mockReturnValue({
    addText: jest.fn(),
    addReasoning: jest.fn(),
    getText: jest.fn().mockReturnValue(''),
    getReasoning: jest.fn().mockReturnValue(''),
    toolCalls: new Map(),
    usage: { promptTokens: 100, completionTokens: 50, reasoningTokens: 0 },
  }),
  createToolExecuteHandler: jest.fn().mockReturnValue({ handle: jest.fn() }),
  isChatCompletionValidationFailure: jest.fn().mockReturnValue(false),
}));

jest.mock('~/server/services/ToolService', () => ({
  loadAgentTools: jest.fn().mockResolvedValue([]),
  loadToolsForExecution: jest.fn().mockResolvedValue([]),
}));

jest.mock('~/models/spendTokens', () => ({
  spendTokens: mockSpendTokens,
  spendStructuredTokens: mockSpendStructuredTokens,
}));

jest.mock('~/server/controllers/agents/callbacks', () => ({
  createToolEndCallback: jest.fn().mockReturnValue(jest.fn()),
}));

jest.mock('~/server/services/PermissionService', () => ({
  findAccessibleResources: jest.fn().mockResolvedValue([]),
}));

jest.mock('~/models/Conversation', () => ({
  getConvoFiles: jest.fn().mockResolvedValue([]),
}));

jest.mock('~/models/Agent', () => ({
  getAgent: jest.fn().mockResolvedValue({
    id: 'agent-123',
    provider: 'openAI',
    model_parameters: { model: 'gpt-4' },
  }),
  getAgents: jest.fn().mockResolvedValue([]),
}));

jest.mock('~/models', () => ({
  getFiles: jest.fn(),
  getUserKey: jest.fn(),
  getMessages: jest.fn(),
  updateFilesUsage: jest.fn(),
  getUserKeyValues: jest.fn(),
  getUserCodeFiles: jest.fn(),
  getToolFilesByIds: jest.fn(),
  getCodeGeneratedFiles: jest.fn(),
}));

describe('OpenAIChatCompletionController', () => {
  let OpenAIChatCompletionController;
  let req, res;

  beforeEach(() => {
    jest.clearAllMocks();

    const controller = require('../openai');
    OpenAIChatCompletionController = controller.OpenAIChatCompletionController;

    req = {
      body: {
        model: 'agent-123',
        messages: [{ role: 'user', content: 'Hello' }],
        stream: false,
      },
      user: { id: 'user-123' },
      config: {
        endpoints: {
          agents: { allowedProviders: ['openAI'] },
        },
      },
      on: jest.fn(),
    };

    res = {
      status: jest.fn().mockReturnThis(),
      json: jest.fn(),
      setHeader: jest.fn(),
      flushHeaders: jest.fn(),
      end: jest.fn(),
      write: jest.fn(),
    };
  });

  describe('token usage recording', () => {
    it('should call recordCollectedUsage after successful non-streaming completion', async () => {
      await OpenAIChatCompletionController(req, res);

      expect(mockRecordCollectedUsage).toHaveBeenCalledTimes(1);
      expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
        { spendTokens: mockSpendTokens, spendStructuredTokens: mockSpendStructuredTokens },
        expect.objectContaining({
          user: 'user-123',
          conversationId: expect.any(String),
          collectedUsage: expect.any(Array),
          context: 'message',
          balance: { enabled: true },
          transactions: { enabled: true },
        }),
      );
    });

    it('should pass balance and transactions config to recordCollectedUsage', async () => {
      mockGetBalanceConfig.mockReturnValue({ enabled: true, startBalance: 1000 });
      mockGetTransactionsConfig.mockReturnValue({ enabled: true, rateLimit: 100 });

      await OpenAIChatCompletionController(req, res);

      expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
        expect.any(Object),
        expect.objectContaining({
          balance: { enabled: true, startBalance: 1000 },
          transactions: { enabled: true, rateLimit: 100 },
        }),
      );
    });

    it('should pass spendTokens and spendStructuredTokens as dependencies', async () => {
      await OpenAIChatCompletionController(req, res);

      const [deps] = mockRecordCollectedUsage.mock.calls[0];
      expect(deps).toHaveProperty('spendTokens', mockSpendTokens);
      expect(deps).toHaveProperty('spendStructuredTokens', mockSpendStructuredTokens);
    });

    it('should include model from primaryConfig in recordCollectedUsage params', async () => {
      await OpenAIChatCompletionController(req, res);

      expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
        expect.any(Object),
        expect.objectContaining({
          model: 'gpt-4',
        }),
      );
    });
  });
});