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86 lines
2.3 KiB
Python
86 lines
2.3 KiB
Python
"""TTS 合成 API Schema。"""
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from __future__ import annotations
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from pydantic import BaseModel, Field
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class TTSSynthesizeRequest(BaseModel):
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"""TTS 合成请求。"""
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text: str = Field(..., min_length=1, max_length=10000, description="合成文本")
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voice_id: str = Field("", description="音色 ID")
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output_name: str = Field("", description="输出文件名")
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language: str = Field("zh-CN", description="语言")
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speed: float = Field(1.0, ge=0.5, le=2.0, description="语速")
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voice_model: str = Field("", description="语音模型名称")
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voice_clone_profile_id: str = Field("", description="关联的音色克隆档案 ID")
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format: str = Field("mp3", description="输出格式（mp3/wav/pcm）")
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metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
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class Config:
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populate_by_name = True
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class TTSJobResponse(BaseModel):
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"""TTS 任务响应。"""
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id: str
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user_id: str
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input_text: str
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voice_id: str = ""
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voice_model: str = ""
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project_id: str = ""
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voice_clone_profile_id: str = ""
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status: str
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output_audio_url: str = ""
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output_audio_key: str = ""
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duration: float = 0.0
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file_size: int = 0
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sample_rate: int = 22050
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format: str = "mp3"
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error_message: str = ""
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retry_count: int = 0
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max_retries: int = 3
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metadata_: Optional[Dict[str, Any]] = Field(default=None, alias="metadata", description="额外元数据")
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started_at: Optional[datetime] = None
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completed_at: Optional[datetime] = None
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created_at: datetime
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updated_at: datetime
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class Config:
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populate_by_name = True
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class TTSStatusResponse(BaseModel):
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"""TTS 任务状态响应（用于轮询）。"""
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id: str
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status: str
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output_audio_url: str = ""
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error_message: str = ""
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duration: float = 0.0
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retry_count: int = 0
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created_at: datetime
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updated_at: datetime
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class TTSSynthesizeResponse(BaseModel):
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"""TTS 合成创建响应。"""
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job_id: str
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status: str
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message: str = "合成任务已创建"
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class ListTTSJobResponse(BaseModel):
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"""TTS 任务列表响应。"""
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items: List[TTSJobResponse]
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total: int
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page: int
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page_size: int
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