import { describe, expect, it, vi, afterEach } from 'vitest'
import { Context } from '@deepseek-ai/cordis'
import { CallId } from '@deepseek-ai/dsh-llm'
import ToolRuntime from '@deepseek-ai/dsh-tools'
import { FileSystem } from '@deepseek-ai/dsh-fs'
import type { FsTarget, FsDirEntry, FsEditOutcome, FsEditRequest, FsInfo, FsPathInfo, FsWriteIntent, FsWriteOutcome, FsVersion, FsTargetKey } from '@deepseek-ai/dsh-fs'
import * as ToolLab from '@deepseek-ai/dsh-tool-lab'
import { runComfyImage, resolveImageArgs, buildWorkflow } from '@deepseek-ai/dsh-tool-lab/src/comfy.ts'
import { runDoclingOcr } from '@deepseek-ai/dsh-tool-lab/src/docling.ts'
import { runWhishTranscribe } from '@deepseek-ai/dsh-tool-lab/src/whish.ts'
import type { SandboxExecutionPolicy, SandboxMode } from '@deepseek-ai/dsh-sandbox'

const testToolSignal = new AbortController().signal

/** In-memory fake ctx.fs backend for upload tools. */
class FakeFs extends FileSystem {
  files = new Map<string, Uint8Array>()
  override async resolve(path: string): Promise<FsTarget> {
    return { targetKey: FsTargetKey(`key:${path}`), displayPath: `/abs/${path}` }
  }
  override processPath(target: FsTarget): string { return String(target.targetKey) }
  override fileUrl(target: FsTarget): string { return `file://${target.targetKey}` }
  override contains(parent: FsTarget, child: FsTarget): boolean {
    return child.targetKey === parent.targetKey || String(child.targetKey).startsWith(`${parent.targetKey}/`)
  }
  override async stat(): Promise<FsInfo | undefined> { return undefined }
  override async lstat(): Promise<FsPathInfo | undefined> { return undefined }
  override async readText(target: FsTarget): Promise<string> {
    return new TextDecoder().decode(this.files.get(target.targetKey) ?? new Uint8Array())
  }
  override async streamText(target: FsTarget): Promise<AsyncIterable<string>> {
    const text = await this.readText(target)
    return (async function* () { yield text })()
  }
  override async readBytes(target: FsTarget, _signal: AbortSignal | undefined, maxBytes: number): Promise<Uint8Array> {
    const bytes = this.files.get(target.targetKey) ?? new Uint8Array()
    if (bytes.length > maxBytes) throw new Error('FS_TOO_LARGE')
    return bytes
  }
  override async listDir(): Promise<FsDirEntry[]> { return [] }
  override async writeText(target: FsTarget, content: string): Promise<FsWriteOutcome> {
    const before = this.files.get(target.targetKey) ?? null
    this.files.set(target.targetKey, new TextEncoder().encode(content))
    return { operation: before !== null ? 'update' : 'create', version: FsVersion('v2'), before, after: content }
  }
  override async editText(target: FsTarget, edit: FsEditRequest): Promise<FsEditOutcome> {
    const content = new TextDecoder().decode(this.files.get(target.targetKey) ?? new Uint8Array())
    const after = content.split(edit.oldString).join(edit.newString)
    this.files.set(target.targetKey, new TextEncoder().encode(after))
    return { version: FsVersion('v3'), before: content, after }
  }
}

async function mount(opts: { files?: Record<string, Uint8Array> } = {}) {
  const ctx = new Context()
  await ctx.plugin(ToolRuntime)
  const fs = new FakeFs()
  if (opts.files) for (const [k, v] of Object.entries(opts.files)) fs.files.set(`key:${k}`, v)
  await ctx.plugin(fs, {})
  await ctx.plugin(ToolLab, {})
  let counter = 0
  const call = (name: string, args: unknown) => ctx.tools.execute({
    signal: testToolSignal,
    callId: CallId(`call-${++counter}`),
    name,
    arguments: args,
  })
  return { ctx, fs, call }
}

function jsonResponse(body: unknown, { status = 200, headers }: { status?: number; headers?: Record<string, string> } = {}): Response {
  return new Response(JSON.stringify(body), { status, headers: { 'content-type': 'application/json', ...headers } })
}

const pngBytes = new Uint8Array([137, 80, 78, 71, 13, 10, 26, 10, 0, 0, 0, 13])

afterEach(() => { vi.unstubAllGlobals() })

describe('lab_generate_image (ComfyUI)', () => {
  it('queues the workflow and returns the served PNG URL after polling history', async () => {
    const calls: string[] = []
    vi.stubGlobal('fetch', vi.fn(async (input: RequestInfo | URL) => {
      const url = String(input)
      calls.push(url)
      if (url.endsWith('/prompt')) return jsonResponse({ prompt_id: 'p-1', node_errors: {} })
      if (url.includes('/history/p-1')) return jsonResponse({ 'p-1': { outputs: { '9': { images: [{ filename: 'dsh_00001_.png' }] } } } })
      throw new Error(`unexpected fetch ${url}`)
    }))
    const { fs } = await mountTarget({ files: { 'x.png': pngBytes } })
    void fs

    const out = await runComfyImage('http://192.168.31.240:8188', resolveImageArgs({ prompt: 'a cat' }), undefined, 30_000)
    expect(out).toBe('http://192.168.31.240:8188/view?filename=dsh_00001_.png&subfolder=&type=output')
    expect(calls.some(u => u.endsWith('/prompt'))).toBe(true)
  })

  it('rejects a workflow with non-empty node_errors', async () => {
    vi.stubGlobal('fetch', vi.fn(async () => jsonResponse({ prompt_id: 'p-2', node_errors: { '3': ['bad'] } })))
    await expect(runComfyImage('http://x', resolveImageArgs({ prompt: 'x' }), undefined, 30_000))
      .rejects.toThrow(/workflow rejected/)
  })

  it('rejects non-positive integer dimensions and steps', () => {
    expect(() => resolveImageArgs({ prompt: 'x', width: 0 })).toThrow(/width must be a positive integer/)
    expect(() => resolveImageArgs({ prompt: 'x', steps: -1 })).toThrow(/steps must be a positive integer/)
  })

  it('uses the documented SDXL-turbo defaults in the workflow', () => {
    const wf = buildWorkflow({ prompt: 'p', negative: 'negative prompt', width: 512, height: 512, steps: 4, seed: 123, model: 'sdxl_turbo.safetensors', filenamePrefix: 'dsh' })
    const sampler = wf['3'] as { inputs: Record<string, unknown> }
    expect(sampler.inputs.cfg).toBe(1.0)
    expect(sampler.inputs.sampler_name).toBe('euler')
    expect(sampler.inputs.scheduler).toBe('normal')
    expect(sampler.inputs.steps).toBe(4)
  })
})

describe('lab_ocr_pdf (Docling)', () => {
  it('uploads a PDF and returns document.md_content after polling', async () => {
    vi.stubGlobal('fetch', vi.fn(async (input: RequestInfo | URL) => {
      const url = String(input)
      if (url.includes('/v1/convert/file/async')) return jsonResponse({ task_id: 't-1', task_status: 'pending' })
      if (url.includes('/v1/status/poll/t-1')) return jsonResponse({ task_status: 'success' })
      if (url.includes('/v1/result/t-1')) return jsonResponse({ status: 'success', errors: [], document: { filename: 'a.pdf', md_content: '# OCRed' } })
      throw new Error(`unexpected ${url}`)
    }))
    const out = await runDoclingOcr('http://192.168.31.159:5001', new TextEncoder().encode('%PDF-1.4'), 'a.pdf', undefined, 30_000)
    expect(out).toBe('# OCRed')
    expect(globalThis.fetch).toHaveBeenCalled()
  })

  it('rejects an empty task id', async () => {
    vi.stubGlobal('fetch', vi.fn(async () => jsonResponse({ task_id: undefined })))
    await expect(runDoclingOcr('http://x', new Uint8Array(), 'a.pdf', undefined, 30_000)).rejects.toThrow(/no task_id/)
  })
})

describe('lab_transcribe_audio (Whishper)', () => {
  it('polls until result.text is non-empty', async () => {
    let polls = 0
    vi.stubGlobal('fetch', vi.fn(async (input: RequestInfo | URL) => {
      const url = String(input)
      if (url.endsWith('/api/transcriptions')) return jsonResponse({ id: 'w-1', status: -1 })
      polls += 1
      if (polls === 1) return jsonResponse({ id: 'w-1', status: -1, result: { text: '' } })
      return jsonResponse({ id: 'w-1', status: 0, result: { text: 'hello world', language: 'en', duration: 1.2 } })
    }))
    const out = await runWhishTranscribe('http://192.168.31.159:8082', new TextEncoder().encode('wav'), 'a.wav', undefined, undefined, undefined, 30_000)
    expect(out).toBe('hello world')
  })

  it('rejects an upload with no id', async () => {
    vi.stubGlobal('fetch', vi.fn(async () => jsonResponse({ id: undefined })))
    await expect(runWhishTranscribe('http://x', new Uint8Array(), 'a.wav', undefined, undefined, undefined, 30_000))
      .rejects.toThrow(/no id/)
  })
})

// keep imports referenced for the fake implementation; these types come from
// @deepseek-ai/dsh-fs and are used by FakeFs above.
type _ = SandboxExecutionPolicy | SandboxMode
export { FakeFs }