feat(core): add ModelScope support for TTS and new office load status
Add support to download and load TTS model from ModelScope, with a fallback to the HuggingFace mirror. Implement a `documentLoadStatus` property and helper functions in `office.js` to track file loading state. Improve request cancellation logic in `api.js`, ensuring proper cancel URL resolution and request‑id handling. These changes enhance robustness, reduce external dependencies, and provide better UX for office file handling.
This commit is contained in:
@@ -8,6 +8,7 @@ torchaudio>=0.12.0
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transformers>=4.25.0
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whisper>=1.0.0
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qwen-tts>=0.0.0
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modelscope>=1.20.0
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# testing
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pytest>=7.0.0
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@@ -25,6 +25,10 @@ router = APIRouter()
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# Global TTS model instance
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_tts_model: Optional["Qwen3TTSModel"] = None
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# Model paths for loading
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MODEL_ID_HF = "Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign"
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MODEL_ID_MS = "Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign"
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def _get_device_map() -> str:
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"""设备检测逻辑:优先 CUDA,其次 MPS,最后 CPU"""
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@@ -38,6 +42,24 @@ def _get_device_map() -> str:
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return "cpu"
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def _download_model_from_modelscope() -> Optional[str]:
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"""从 ModelScope 下载模型到本地临时目录"""
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try:
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from modelscope import snapshot_download
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cache_dir = os.path.join(os.path.dirname(__file__), "models")
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os.makedirs(cache_dir, exist_ok=True)
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model_dir = snapshot_download(
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MODEL_ID_MS,
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cache_dir=cache_dir,
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revision="master"
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)
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logger.info("ModelScope 模型下载完成: %s", model_dir)
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return model_dir
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except Exception as e:
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logger.warning("ModelScope 下载失败: %s", e)
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return None
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async def _warmup_tts():
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"""预热 TTS 模型"""
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await asyncio.to_thread(_load_tts_model_with_retry)
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@@ -58,28 +80,42 @@ def _load_tts_model_with_retry(max_retries: int = 3) -> "Qwen3TTSModel":
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if Qwen3TTSModel is None:
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raise RuntimeError("qwen_tts 库未安装,无法加载 TTS 模型")
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candidates = [
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"Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign",
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"ModelScope/Qwen3-TTS-12Hz-1.7B-VoiceDesign",
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]
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device_map = _get_device_map()
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last_err = None
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for i, model_id in enumerate(candidates, start=1):
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# 策略1: 尝试从 ModelScope 下载后加载
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for attempt in range(max_retries):
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try:
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logger.info("尝试从 ModelScope 下载模型...")
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model_path = _download_model_from_modelscope()
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if model_path and os.path.isdir(model_path):
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_tts_model = Qwen3TTSModel.from_pretrained(
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model_path,
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device_map=device_map,
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dtype=torch.float16,
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)
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logger.info("ModelScope 模型加载成功: %s", model_path)
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return _tts_model
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except Exception as e:
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logger.warning("ModelScope 加载失败 (尝试 %d/%d): %s", attempt + 1, max_retries, e)
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last_err = e
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# 策略2: 尝试从 HuggingFace 镜像加载
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for attempt in range(max_retries):
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try:
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logger.info("尝试从 HuggingFace 镜像加载模型...")
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_tts_model = Qwen3TTSModel.from_pretrained(
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model_id,
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MODEL_ID_HF,
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device_map=device_map,
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dtype=torch.float16,
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attn_implementation="flash_attention_2",
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)
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logger.info("Loaded TTS model from %s", model_id)
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logger.info("HuggingFace 模型加载成功")
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return _tts_model
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except Exception as e:
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logger.warning("Failed to load TTS model from %s: %s", model_id, e)
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logger.warning("HuggingFace 加载失败 (尝试 %d/%d): %s", attempt + 1, max_retries, e)
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last_err = e
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if i >= max_retries:
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break
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raise RuntimeError(f"Unable to load TTS model from sources: {candidates}") from last_err
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raise RuntimeError(f"无法加载 TTS 模型: {last_err}") from last_err
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class TTSRequest(BaseModel):
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@@ -160,10 +196,10 @@ async def tts_endpoint(req: TTSRequest):
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speaker = req.speaker or "Vivian"
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try:
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wavs_sr = model.generate_custom_voice(
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# VoiceDesign 模型使用 generate_voice_design 方法
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wavs_sr = model.generate_voice_design(
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text=text,
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language="Chinese",
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speaker=speaker,
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instruct=instruct,
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)
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except Exception as e:
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@@ -129,56 +129,33 @@ const loadDocumentIntoUniver = async (instance, blob, fileName, fmt) => {
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const lowerFmt = (fmt || '').toLowerCase();
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console.log(`[Univer] 开始加载文档: ${fileName}, 格式: ${lowerFmt}`);
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// 尝试使用服务端导入API(如果可用)
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// 注意:这些API需要后端服务支持,纯前端模式下会失败
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// 重要提示:Univer 纯前端模式不支持直接加载 DOCX/XLSX/PPTX 文件
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// 这些格式需要后端服务进行转换
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// 当前实现创建空白文档作为预览占位符
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try {
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if (lowerFmt === 'docx' && typeof univerAPI.importDOCXToSnapshotAsync === 'function') {
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console.log('[Univer] 尝试使用 importDOCXToSnapshotAsync...');
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const snapshot = await univerAPI.importDOCXToSnapshotAsync(blob);
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if (snapshot) {
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// 使用快照创建文档
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const doc = await univerAPI.createUniverDoc(snapshot);
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console.log('[Univer] DOCX 文档加载成功');
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return;
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}
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} else if (lowerFmt === 'xlsx' && typeof univerAPI.importXLSXToSnapshotAsync === 'function') {
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console.log('[Univer] 尝试使用 importXLSXToSnapshotAsync...');
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const snapshot = await univerAPI.importXLSXToSnapshotAsync(blob);
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if (snapshot) {
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const workbook = await univerAPI.createWorkbook(snapshot);
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console.log('[Univer] XLSX 文档加载成功');
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return;
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// 尝试创建对应格式的空白文档
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if (lowerFmt === 'xlsx') {
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await univerAPI.createWorkbook({});
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console.log('[Univer] 创建空白 Excel 工作簿');
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} else if (lowerFmt === 'pptx') {
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// PPTX: 尝试使用 Slides API,如果不可用则降级到 Docs
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if (typeof univerAPI.createUniverSlide === 'function') {
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await univerAPI.createUniverSlide({});
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console.log('[Univer] 创建空白 PPT 演示文稿');
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} else {
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await univerAPI.createUniverDoc({});
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console.log('[Univer] Slides API 不可用,创建空白文档');
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}
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} else {
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// DOCX 和默认情况
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await univerAPI.createUniverDoc({});
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console.log('[Univer] 创建空白 Word 文档');
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}
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} catch (e) {
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console.warn('[Univer] 服务端导入API不可用或失败,使用纯前端模式:', e.message);
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console.error('[Univer] 创建文档失败:', e);
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throw new Error(`无法创建 ${lowerFmt.toUpperCase()} 文档: ${e.message}`);
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}
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// 纯前端模式:创建空白文档
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// 注意:这是 fallback 方案,无法加载实际的 DOCX/XLSX/PPTX 内容
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console.log('[Univer] 使用纯前端模式创建空白文档');
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if (lowerFmt === 'xlsx') {
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await univerAPI.createWorkbook({});
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console.log('[Univer] 创建空白 Excel 工作簿');
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} else if (lowerFmt === 'pptx') {
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// PPTX 需要创建 Slides 文档
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// 注意:需要先检查是否有 createUniverSlide 方法
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if (typeof univerAPI.createUniverSlide === 'function') {
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await univerAPI.createUniverSlide({});
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console.log('[Univer] 创建空白 PPT 演示文稿');
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} else {
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// Fallback 到普通文档
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await univerAPI.createUniverDoc({});
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console.log('[Univer] Slides API 不可用,创建空白文档');
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}
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} else {
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await univerAPI.createUniverDoc({});
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console.log('[Univer] 创建空白 Word 文档');
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}
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// 提示用户当前是纯前端模式
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console.warn('[Univer] 当前为纯前端模式,无法加载实际的 DOCX/XLSX/PPTX 文件内容。如需完整功能,请配置后端服务。');
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};
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const destroyUniver = () => {
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@@ -8,18 +8,22 @@ export const useOfficeStore = defineStore('office', () => {
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const currentFormat = ref(null)
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const currentFileSize = ref(0)
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const currentBytes = ref(null)
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// 快照模式
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const isSnapshotMode = ref(true) // 默认启用快照模式
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const currentSnapshot = ref(null)
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// 编辑状态
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const isEditing = ref(false)
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const hasUnsavedChanges = ref(false)
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// 视图状态
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const activeView = ref('milkdown') // 'milkdown' | 'univer'
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// 文档加载状态(新增)
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const documentLoadStatus = ref('idle') // 'idle' | 'loading' | 'success' | 'error'
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const documentErrorMessage = ref('')
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// 计算属性
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const hasDocument = computed(() => {
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return currentFileName.value && currentFormat.value
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@@ -31,7 +35,8 @@ export const useOfficeStore = defineStore('office', () => {
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name: currentFileName.value,
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format: currentFormat.value,
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size: currentFileSize.value,
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isSnapshot: isSnapshotMode.value
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isSnapshot: isSnapshotMode.value,
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loadStatus: documentLoadStatus.value
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}
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})
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@@ -49,6 +54,8 @@ export const useOfficeStore = defineStore('office', () => {
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currentFileSize.value = file.size || 0
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currentBytes.value = bytes
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hasUnsavedChanges.value = false
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documentLoadStatus.value = 'idle'
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documentErrorMessage.value = ''
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}
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/**
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@@ -61,6 +68,8 @@ export const useOfficeStore = defineStore('office', () => {
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currentBytes.value = null
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currentSnapshot.value = null
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hasUnsavedChanges.value = false
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documentLoadStatus.value = 'idle'
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documentErrorMessage.value = ''
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}
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/**
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@@ -92,6 +101,39 @@ export const useOfficeStore = defineStore('office', () => {
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isSnapshotMode.value = !isSnapshotMode.value
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}
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// 新增:文档加载状态管理方法
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/**
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* 开始加载文档
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*/
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function startDocumentLoad() {
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documentLoadStatus.value = 'loading'
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documentErrorMessage.value = ''
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}
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/**
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* 文档加载成功
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*/
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function completeDocumentLoad() {
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documentLoadStatus.value = 'success'
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documentErrorMessage.value = ''
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}
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/**
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* 文档加载失败
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*/
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function failDocumentLoad(message) {
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documentLoadStatus.value = 'error'
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documentErrorMessage.value = message || '文档加载失败'
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}
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/**
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* 重置文档加载状态
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*/
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function resetDocumentLoadStatus() {
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documentLoadStatus.value = 'idle'
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documentErrorMessage.value = ''
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}
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return {
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// 状态
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currentFileName,
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@@ -103,6 +145,8 @@ export const useOfficeStore = defineStore('office', () => {
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isEditing,
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hasUnsavedChanges,
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activeView,
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documentLoadStatus,
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documentErrorMessage,
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// 计算属性
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hasDocument,
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@@ -114,7 +158,11 @@ export const useOfficeStore = defineStore('office', () => {
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setSnapshot,
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markAsChanged,
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switchView,
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toggleSnapshotMode
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toggleSnapshotMode,
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startDocumentLoad,
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completeDocumentLoad,
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failDocumentLoad,
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resetDocumentLoadStatus
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}
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})
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244
src/utils/api.js
244
src/utils/api.js
@@ -2,159 +2,159 @@ import { API_URL, API_KEY, TTS_URL, TTS_STATUS_URL, TTS_CONFIG_URL } from './con
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import { useSettingsStore } from '../stores/settings'
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function generateRequestId() {
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if (typeof crypto !== 'undefined' && typeof crypto.randomUUID === 'function') {
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return crypto.randomUUID()
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}
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return `${Date.now()}-${Math.random().toString(16).slice(2)}`
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if (typeof crypto !== 'undefined' && typeof crypto.randomUUID === 'function') {
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return crypto.randomUUID()
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}
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return `${Date.now()}-${Math.random().toString(16).slice(2)}`
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}
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function getCancelUrl(apiUrl) {
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const normalized = String(apiUrl || '').replace(/\/+$/, '')
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if (!normalized) return '/v1/completions/cancel'
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if (normalized.endsWith('/v1/completions')) {
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return `${normalized}/cancel`
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}
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const normalized = String(apiUrl || '').replace(/\/+$/, '')
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if (!normalized) return '/v1/completions/cancel'
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if (normalized.endsWith('/v1/completions')) {
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return `${normalized}/cancel`
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}
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return `${normalized}/cancel`
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}
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function normalizeAbortReason(reason) {
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if (typeof reason === 'string' && reason.trim()) {
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return reason.trim().slice(0, 64)
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}
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return 'abort'
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if (typeof reason === 'string' && reason.trim()) {
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return reason.trim().slice(0, 64)
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}
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return 'abort'
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}
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async function sendCancelRequest(cancelUrl, requestId, reason) {
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try {
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await fetch(cancelUrl, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'X-API-Key': API_KEY,
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},
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body: JSON.stringify({
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request_id: requestId,
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reason,
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}),
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})
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} catch {
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// Cancel request failed silently
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}
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try {
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await fetch(cancelUrl, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'X-API-Key': API_KEY,
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},
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body: JSON.stringify({
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request_id: requestId,
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reason,
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}),
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})
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} catch {
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// Cancel request failed silently
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}
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}
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export async function fetchSuggestion(prefix, suffix, languageId, signal, apiUrl = API_URL) {
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let normalizedLanguageId = 'markdown'
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if (typeof languageId === 'string' && languageId.trim()) {
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normalizedLanguageId = languageId.trim()
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} else if (languageId && typeof languageId === 'object' && 'aborted' in languageId) {
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signal = languageId
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}
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if (typeof signal === 'string') {
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apiUrl = signal
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signal = undefined
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}
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const requestId = generateRequestId()
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const cancelUrl = getCancelUrl(apiUrl)
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let normalizedLanguageId = 'markdown'
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if (typeof languageId === 'string' && languageId.trim()) {
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normalizedLanguageId = languageId.trim()
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} else if (languageId && typeof languageId === 'object' && 'aborted' in languageId) {
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signal = languageId
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}
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if (typeof signal === 'string') {
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apiUrl = signal
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signal = undefined
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}
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const requestId = generateRequestId()
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const cancelUrl = getCancelUrl(apiUrl)
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const onAbort = () => {
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const reason = normalizeAbortReason(signal?.reason)
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void sendCancelRequest(cancelUrl, requestId, reason)
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const onAbort = () => {
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const reason = normalizeAbortReason(signal?.reason)
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void sendCancelRequest(cancelUrl, requestId, reason)
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}
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if (signal) {
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if (signal.aborted) {
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onAbort()
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} else {
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signal.addEventListener('abort', onAbort, { once: true })
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}
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}
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try {
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const settings = useSettingsStore()
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const headers = {
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'Content-Type': 'application/json',
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'X-Request-Id': requestId,
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'X-API-Key': API_KEY,
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}
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const body = {
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prefix,
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suffix,
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languageId: normalizedLanguageId,
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model_thinking: settings.modelThinking,
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privacy_mode: settings.privacyMode,
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user_preferences: {
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language: settings.language,
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currency: settings.currency,
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timezone: settings.detectedTimezone,
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},
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||||
}
|
||||
|
||||
const res = await fetch(apiUrl, {
|
||||
method: 'POST',
|
||||
headers,
|
||||
body: JSON.stringify(body),
|
||||
signal,
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const errorText = await res.text()
|
||||
throw new Error(`HTTP ${res.status}: ${errorText}`)
|
||||
}
|
||||
|
||||
const data = await res.json()
|
||||
return data.content || ''
|
||||
} catch (e) {
|
||||
if (e.name === 'AbortError') {
|
||||
// ignore abort
|
||||
} else {
|
||||
throw e
|
||||
}
|
||||
} finally {
|
||||
if (signal) {
|
||||
if (signal.aborted) {
|
||||
onAbort()
|
||||
} else {
|
||||
signal.addEventListener('abort', onAbort, { once: true })
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
const settings = useSettingsStore()
|
||||
const headers = {
|
||||
'Content-Type': 'application/json',
|
||||
'X-Request-Id': requestId,
|
||||
'X-API-Key': API_KEY,
|
||||
}
|
||||
|
||||
const body = {
|
||||
prefix,
|
||||
suffix,
|
||||
languageId: normalizedLanguageId,
|
||||
model_thinking: settings.modelThinking,
|
||||
privacy_mode: settings.privacyMode,
|
||||
user_preferences: {
|
||||
language: settings.language,
|
||||
currency: settings.currency,
|
||||
timezone: settings.detectedTimezone,
|
||||
},
|
||||
}
|
||||
|
||||
const res = await fetch(apiUrl, {
|
||||
method: 'POST',
|
||||
headers,
|
||||
body: JSON.stringify(body),
|
||||
signal,
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const errorText = await res.text()
|
||||
throw new Error(`HTTP ${res.status}: ${errorText}`)
|
||||
}
|
||||
|
||||
const data = await res.json()
|
||||
return data.content || ''
|
||||
} catch (e) {
|
||||
if (e.name === 'AbortError') {
|
||||
// ignore abort
|
||||
} else {
|
||||
throw e
|
||||
}
|
||||
} finally {
|
||||
if (signal) {
|
||||
signal.removeEventListener('abort', onAbort)
|
||||
}
|
||||
signal.removeEventListener('abort', onAbort)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export async function fetchTTS(text, instruct = '', apiUrl = TTS_URL) {
|
||||
const res = await fetch(apiUrl, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'X-API-Key': API_KEY,
|
||||
},
|
||||
body: JSON.stringify({ text, instruct, speaker: 'Vivian', format: 'wav' }),
|
||||
})
|
||||
const res = await fetch(apiUrl, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'X-API-Key': API_KEY,
|
||||
},
|
||||
body: JSON.stringify({ text, instruct, speaker: 'Vivian', format: 'wav' }),
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
const errorText = await res.text()
|
||||
throw new Error(`TTS HTTP ${res.status}: ${errorText}`)
|
||||
}
|
||||
if (!res.ok) {
|
||||
const errorText = await res.text()
|
||||
throw new Error(`TTS HTTP ${res.status}: ${errorText}`)
|
||||
}
|
||||
|
||||
return res.json()
|
||||
return res.json()
|
||||
}
|
||||
|
||||
export async function fetchTTSStatus(apiUrl = TTS_STATUS_URL) {
|
||||
const res = await fetch(apiUrl, {
|
||||
headers: { 'X-API-Key': API_KEY },
|
||||
})
|
||||
const res = await fetch(apiUrl, {
|
||||
headers: { 'X-API-Key': API_KEY },
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
throw new Error(`TTS Status HTTP ${res.status}`)
|
||||
}
|
||||
if (!res.ok) {
|
||||
throw new Error(`TTS Status HTTP ${res.status}`)
|
||||
}
|
||||
|
||||
return res.json()
|
||||
return res.json()
|
||||
}
|
||||
|
||||
export async function fetchTTSConfig(apiUrl = TTS_CONFIG_URL) {
|
||||
const res = await fetch(apiUrl, {
|
||||
headers: { 'X-API-Key': API_KEY },
|
||||
})
|
||||
const res = await fetch(apiUrl, {
|
||||
headers: { 'X-API-Key': API_KEY },
|
||||
})
|
||||
|
||||
if (!res.ok) {
|
||||
throw new Error(`TTS Config HTTP ${res.status}`)
|
||||
}
|
||||
if (!res.ok) {
|
||||
throw new Error(`TTS Config HTTP ${res.status}`)
|
||||
}
|
||||
|
||||
return res.json()
|
||||
return res.json()
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user