/**
 * @vitest-environment node
 */
import { beforeEach, describe, expect, it, vi } from 'vitest'
import type { ProviderRequest } from '@/providers/types'

const {
  mockAzureOpenAI,
  azureOpenAIArgs,
  mockChatCreate,
  mockValidate,
  mockCreatePinnedFetch,
  mockExecuteResponses,
  sentinelFetch,
  mockIsChatCompletionsEndpoint,
  mockIsResponsesEndpoint,
  envState,
} = vi.hoisted(() => {
  const azureOpenAIArgs: Array<Record<string, unknown>> = []
  const sentinelFetch = vi.fn()
  const mockChatCreate = vi.fn()
  class MockAzureOpenAI {
    chat = { completions: { create: mockChatCreate } }
    constructor(opts: Record<string, unknown>) {
      azureOpenAIArgs.push(opts)
    }
  }
  return {
    mockAzureOpenAI: MockAzureOpenAI,
    azureOpenAIArgs,
    mockChatCreate,
    mockValidate: vi.fn(),
    mockCreatePinnedFetch: vi.fn(() => sentinelFetch),
    mockExecuteResponses: vi.fn(),
    sentinelFetch,
    mockIsChatCompletionsEndpoint: vi.fn(() => false),
    mockIsResponsesEndpoint: vi.fn(() => false),
    envState: {
      AZURE_OPENAI_ENDPOINT: undefined as string | undefined,
      AZURE_OPENAI_API_VERSION: undefined as string | undefined,
    },
  }
})

vi.mock('openai', () => ({ AzureOpenAI: mockAzureOpenAI }))
vi.mock('@/lib/core/config/env', () => ({ env: envState }))
vi.mock('@/providers', () => ({ MAX_TOOL_ITERATIONS: 20 }))
vi.mock('@/lib/core/security/input-validation.server', () => ({
  validateUrlWithDNS: mockValidate,
  createPinnedFetch: mockCreatePinnedFetch,
}))
vi.mock('@/providers/openai/core', () => ({
  executeResponsesProviderRequest: mockExecuteResponses,
}))
vi.mock('@/providers/azure-openai/utils', () => ({
  isChatCompletionsEndpoint: mockIsChatCompletionsEndpoint,
  isResponsesEndpoint: mockIsResponsesEndpoint,
  extractBaseUrl: vi.fn((url: string) => url),
  extractDeploymentFromUrl: vi.fn(() => null),
  extractApiVersionFromUrl: vi.fn(() => null),
  createReadableStreamFromAzureOpenAIStream: vi.fn(),
  checkForForcedToolUsage: vi.fn(() => ({ hasUsedForcedTool: false, usedForcedTools: [] })),
}))
vi.mock('@/providers/models', () => ({
  getProviderFileAttachment: vi
    .fn()
    .mockReturnValue({ maxBytes: 10 * 1024 * 1024, strategy: 'inline' }),
  INLINE_ATTACHMENT_MAX_BYTES: 10 * 1024 * 1024,
  getProviderModels: vi.fn(() => []),
  getProviderDefaultModel: vi.fn(() => 'azure/gpt-4o'),
}))
vi.mock('@/providers/attachments', () => ({
  prepareProviderAttachments: vi.fn(() => []),
}))
vi.mock('@/providers/trace-enrichment', () => ({
  enrichLastModelSegmentFromChatCompletions: vi.fn(),
}))
vi.mock('@/providers/utils', () => ({
  calculateCost: vi.fn(() => ({ input: 0, output: 0, total: 0 })),
  prepareToolExecution: vi.fn((_tool, args) => ({ toolParams: args, executionParams: args })),
  prepareToolsWithUsageControl: vi.fn(() => ({
    tools: [],
    toolChoice: undefined,
    forcedTools: [],
  })),
  sumToolCosts: vi.fn(() => 0),
}))
vi.mock('@/tools', () => ({ executeTool: vi.fn() }))

import { azureOpenAIProvider } from '@/providers/azure-openai/index'

function request(overrides: Partial<ProviderRequest>): ProviderRequest {
  return { model: 'azure/gpt-4o', apiKey: 'k', messages: [], ...overrides }
}

/** Config object passed to the Responses core on the Nth call. */
const responsesConfig = (call = 0) => mockExecuteResponses.mock.calls[call][1]

describe('azureOpenAIProvider — SSRF pinning', () => {
  beforeEach(() => {
    vi.clearAllMocks()
    azureOpenAIArgs.length = 0
    envState.AZURE_OPENAI_ENDPOINT = undefined
    envState.AZURE_OPENAI_API_VERSION = undefined
    mockIsChatCompletionsEndpoint.mockReturnValue(false)
    mockIsResponsesEndpoint.mockReturnValue(false)
    mockExecuteResponses.mockResolvedValue({ content: 'ok' })
  })

  describe('Responses API path', () => {
    it('validates and threads the pinned fetch into the Responses core for a user endpoint', async () => {
      mockValidate.mockResolvedValue({ isValid: true, resolvedIP: '203.0.113.10' })

      await azureOpenAIProvider.executeRequest(
        request({ azureEndpoint: 'https://rebind.attacker.tld' })
      )

      expect(mockValidate).toHaveBeenCalledWith('https://rebind.attacker.tld', 'azureEndpoint')
      expect(mockCreatePinnedFetch).toHaveBeenCalledWith('203.0.113.10')
      expect(responsesConfig().fetch).toBe(sentinelFetch)
    })

    it('passes no custom fetch when the endpoint comes from trusted server env', async () => {
      envState.AZURE_OPENAI_ENDPOINT = 'https://trusted.openai.azure.com'

      await azureOpenAIProvider.executeRequest(request({ azureEndpoint: undefined }))

      expect(mockValidate).not.toHaveBeenCalled()
      expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
      expect(responsesConfig().fetch).toBeUndefined()
    })

    it('throws and never reaches the Responses core when validation blocks the endpoint', async () => {
      mockValidate.mockResolvedValue({ isValid: false, error: 'resolves to a blocked IP address' })

      await expect(
        azureOpenAIProvider.executeRequest(
          request({ azureEndpoint: 'https://rebind.attacker.tld' })
        )
      ).rejects.toThrow('Invalid Azure OpenAI endpoint')

      expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
      expect(mockExecuteResponses).not.toHaveBeenCalled()
    })

    it('fails closed when validation passes but yields no resolvable IP to pin', async () => {
      mockValidate.mockResolvedValue({ isValid: true })

      await expect(
        azureOpenAIProvider.executeRequest(
          request({ azureEndpoint: 'https://rebind.attacker.tld' })
        )
      ).rejects.toThrow('could not resolve a pinnable IP address')

      expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
      expect(mockExecuteResponses).not.toHaveBeenCalled()
    })
  })

  describe('Chat Completions path', () => {
    it('constructs the AzureOpenAI client with the pinned fetch for a user endpoint', async () => {
      mockIsChatCompletionsEndpoint.mockReturnValue(true)
      mockValidate.mockResolvedValue({ isValid: true, resolvedIP: '203.0.113.10' })
      mockChatCreate.mockResolvedValue({
        choices: [{ message: { content: 'hi', tool_calls: undefined } }],
        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
      })

      await azureOpenAIProvider.executeRequest(
        request({
          azureEndpoint: 'https://rebind.attacker.tld/openai/deployments/gpt-4o/chat/completions',
        })
      )

      expect(mockCreatePinnedFetch).toHaveBeenCalledWith('203.0.113.10')
      expect(azureOpenAIArgs[0]).toMatchObject({ fetch: sentinelFetch })
    })

    it('constructs the AzureOpenAI client without a custom fetch for a trusted env endpoint', async () => {
      mockIsChatCompletionsEndpoint.mockReturnValue(true)
      envState.AZURE_OPENAI_ENDPOINT =
        'https://trusted.openai.azure.com/openai/deployments/gpt-4o/chat/completions'
      mockChatCreate.mockResolvedValue({
        choices: [{ message: { content: 'hi', tool_calls: undefined } }],
        usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
      })

      await azureOpenAIProvider.executeRequest(request({ azureEndpoint: undefined }))

      expect(mockCreatePinnedFetch).not.toHaveBeenCalled()
      expect(azureOpenAIArgs[0]).not.toHaveProperty('fetch')
    })
  })
})