mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-15 04:40:40 -07:00
Jamie Pine
081f45e680
- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks. - Updated release workflow to include MLX-specific dependencies and configurations for macOS platforms. - Refactored backend code to dynamically select between MLX and PyTorch based on the runtime environment. - Enhanced model loading and inference logic to accommodate backend-specific requirements, including updated model IDs and hidden imports. - Improved health check and model status reporting to reflect the active backend type. - Streamlined caching mechanisms to support both backend types, ensuring compatibility and performance.
301 lines
7.7 KiB
Python
301 lines
7.7 KiB
Python
"""
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Pydantic models for request/response validation.
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"""
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from pydantic import BaseModel, Field
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from typing import Optional, List
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from datetime import datetime
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class VoiceProfileCreate(BaseModel):
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"""Request model for creating a voice profile."""
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name: str = Field(..., min_length=1, max_length=100)
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description: Optional[str] = Field(None, max_length=500)
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language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it)$")
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class VoiceProfileResponse(BaseModel):
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"""Response model for voice profile."""
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id: str
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name: str
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description: Optional[str]
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language: str
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avatar_path: Optional[str] = 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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from_attributes = True
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class ProfileSampleCreate(BaseModel):
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"""Request model for adding a sample to a profile."""
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reference_text: str = Field(..., min_length=1, max_length=1000)
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class ProfileSampleUpdate(BaseModel):
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"""Request model for updating a profile sample."""
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reference_text: str = Field(..., min_length=1, max_length=1000)
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class ProfileSampleResponse(BaseModel):
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"""Response model for profile sample."""
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id: str
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profile_id: str
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audio_path: str
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reference_text: str
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class Config:
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from_attributes = True
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class GenerationRequest(BaseModel):
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"""Request model for voice generation."""
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profile_id: str
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text: str = Field(..., min_length=1, max_length=5000)
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language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it)$")
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seed: Optional[int] = Field(None, ge=0)
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model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B)$")
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instruct: Optional[str] = Field(None, max_length=500)
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class GenerationResponse(BaseModel):
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"""Response model for voice generation."""
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id: str
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profile_id: str
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text: str
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language: str
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audio_path: str
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duration: float
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seed: Optional[int]
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instruct: Optional[str]
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created_at: datetime
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class Config:
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from_attributes = True
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class HistoryQuery(BaseModel):
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"""Query model for generation history."""
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profile_id: Optional[str] = None
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search: Optional[str] = None
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limit: int = Field(default=50, ge=1, le=100)
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offset: int = Field(default=0, ge=0)
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class HistoryResponse(BaseModel):
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"""Response model for history entry (includes profile name)."""
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id: str
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profile_id: str
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profile_name: str
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text: str
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language: str
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audio_path: str
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duration: float
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seed: Optional[int]
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instruct: Optional[str]
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created_at: datetime
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class Config:
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from_attributes = True
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class HistoryListResponse(BaseModel):
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"""Response model for history list."""
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items: List[HistoryResponse]
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total: int
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class TranscriptionRequest(BaseModel):
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"""Request model for audio transcription."""
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language: Optional[str] = Field(None, pattern="^(en|zh)$")
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class TranscriptionResponse(BaseModel):
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"""Response model for transcription."""
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text: str
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duration: float
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class HealthResponse(BaseModel):
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"""Response model for health check."""
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status: str
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model_loaded: bool
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model_downloaded: Optional[bool] = None # Whether model is cached/downloaded
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model_size: Optional[str] = None # Current model size if loaded
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gpu_available: bool
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gpu_type: Optional[str] = None # GPU type (CUDA, MPS, or None)
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vram_used_mb: Optional[float] = None
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backend_type: Optional[str] = None # Backend type (mlx or pytorch)
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class ModelStatus(BaseModel):
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"""Response model for model status."""
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model_name: str
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display_name: str
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downloaded: bool
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size_mb: Optional[float] = None
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loaded: bool = False
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class ModelStatusListResponse(BaseModel):
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"""Response model for model status list."""
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models: List[ModelStatus]
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class ModelDownloadRequest(BaseModel):
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"""Request model for triggering model download."""
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model_name: str
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class ActiveDownloadTask(BaseModel):
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"""Response model for active download task."""
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model_name: str
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status: str
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started_at: datetime
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class ActiveGenerationTask(BaseModel):
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"""Response model for active generation task."""
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task_id: str
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profile_id: str
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text_preview: str
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started_at: datetime
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class ActiveTasksResponse(BaseModel):
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"""Response model for active tasks."""
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downloads: List[ActiveDownloadTask]
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generations: List[ActiveGenerationTask]
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class AudioChannelCreate(BaseModel):
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"""Request model for creating an audio channel."""
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name: str = Field(..., min_length=1, max_length=100)
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device_ids: List[str] = Field(default_factory=list)
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class AudioChannelUpdate(BaseModel):
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"""Request model for updating an audio channel."""
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name: Optional[str] = Field(None, min_length=1, max_length=100)
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device_ids: Optional[List[str]] = None
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class AudioChannelResponse(BaseModel):
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"""Response model for audio channel."""
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id: str
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name: str
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is_default: bool
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device_ids: List[str]
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created_at: datetime
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class Config:
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from_attributes = True
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class ChannelVoiceAssignment(BaseModel):
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"""Request model for assigning voices to a channel."""
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profile_ids: List[str]
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class ProfileChannelAssignment(BaseModel):
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"""Request model for assigning channels to a profile."""
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channel_ids: List[str]
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class StoryCreate(BaseModel):
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"""Request model for creating a story."""
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name: str = Field(..., min_length=1, max_length=100)
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description: Optional[str] = Field(None, max_length=500)
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class StoryResponse(BaseModel):
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"""Response model for story (list view)."""
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id: str
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name: str
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description: Optional[str]
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created_at: datetime
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updated_at: datetime
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item_count: int = 0
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class Config:
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from_attributes = True
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class StoryItemDetail(BaseModel):
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"""Detail model for story item with generation info."""
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id: str
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story_id: str
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generation_id: str
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start_time_ms: int
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track: int = 0
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trim_start_ms: int = 0
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trim_end_ms: int = 0
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created_at: datetime
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# Generation details
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profile_id: str
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profile_name: str
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text: str
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language: str
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audio_path: str
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duration: float
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seed: Optional[int]
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instruct: Optional[str]
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generation_created_at: datetime
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class Config:
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from_attributes = True
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class StoryDetailResponse(BaseModel):
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"""Response model for story with items."""
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id: str
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name: str
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description: Optional[str]
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created_at: datetime
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updated_at: datetime
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items: List[StoryItemDetail] = []
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class Config:
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from_attributes = True
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class StoryItemCreate(BaseModel):
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"""Request model for adding a generation to a story."""
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generation_id: str
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start_time_ms: Optional[int] = None # If not provided, will be calculated automatically
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track: Optional[int] = 0 # Track number (0 = main track)
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class StoryItemUpdateTime(BaseModel):
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"""Request model for updating a story item's timecode."""
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generation_id: str
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start_time_ms: int = Field(..., ge=0)
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class StoryItemBatchUpdate(BaseModel):
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"""Request model for batch updating story item timecodes."""
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updates: List[StoryItemUpdateTime]
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class StoryItemReorder(BaseModel):
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"""Request model for reordering story items."""
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generation_ids: List[str] = Field(..., min_length=1)
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class StoryItemMove(BaseModel):
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"""Request model for moving a story item (position and/or track)."""
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start_time_ms: int = Field(..., ge=0)
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track: int = 0
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class StoryItemTrim(BaseModel):
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"""Request model for trimming a story item."""
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trim_start_ms: int = Field(..., ge=0)
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trim_end_ms: int = Field(..., ge=0)
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class StoryItemSplit(BaseModel):
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"""Request model for splitting a story item."""
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split_time_ms: int = Field(..., ge=0) # Time within the clip to split at (relative to clip start)
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