117 lines
4.6 KiB
Python
117 lines
4.6 KiB
Python
# Copyright (C) 2025 AIDC-AI
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
"""
|
|
Video generation API schemas
|
|
"""
|
|
|
|
from typing import Optional, Literal, Dict, Any
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class VideoGenerateRequest(BaseModel):
|
|
"""Video generation request"""
|
|
|
|
# === Input ===
|
|
text: str = Field(..., description="Source text for video generation")
|
|
|
|
# === Processing Mode ===
|
|
mode: Literal["generate", "fixed"] = Field(
|
|
"generate",
|
|
description="Processing mode: 'generate' (AI generates narrations) or 'fixed' (use text as-is)"
|
|
)
|
|
|
|
# === Optional Title ===
|
|
title: Optional[str] = Field(None, description="Video title (auto-generated if not provided)")
|
|
|
|
# === Basic Config ===
|
|
n_scenes: int = Field(5, ge=1, le=20, description="Number of scenes (generate mode only)")
|
|
|
|
# === TTS Parameters ===
|
|
tts_workflow: Optional[str] = Field(
|
|
None,
|
|
description="TTS workflow key (e.g., 'runninghub/tts_edge.json'). If not specified, uses default workflow from config."
|
|
)
|
|
ref_audio: Optional[str] = Field(
|
|
None,
|
|
description="Reference audio path for voice cloning (optional)"
|
|
)
|
|
voice_id: Optional[str] = Field(
|
|
None,
|
|
description="(Deprecated) TTS voice ID for legacy compatibility"
|
|
)
|
|
|
|
# === LLM Parameters ===
|
|
min_narration_words: int = Field(5, ge=1, le=100, description="Min narration words")
|
|
max_narration_words: int = Field(20, ge=1, le=200, description="Max narration words")
|
|
min_image_prompt_words: int = Field(30, ge=10, le=100, description="Min image prompt words")
|
|
max_image_prompt_words: int = Field(60, ge=10, le=200, description="Max image prompt words")
|
|
|
|
# === Media Parameters ===
|
|
# Note: media_width and media_height are auto-determined from template meta tags
|
|
media_workflow: Optional[str] = Field(None, description="Custom media workflow (image or video)")
|
|
|
|
# === Video Parameters ===
|
|
video_fps: int = Field(30, ge=15, le=60, description="Video FPS")
|
|
|
|
# === Frame Template (determines video size) ===
|
|
frame_template: Optional[str] = Field(
|
|
None,
|
|
description="HTML template path with size (e.g., '1080x1920/default.html'). Video size is auto-determined from template."
|
|
)
|
|
|
|
# === Template Custom Parameters ===
|
|
template_params: Optional[Dict[str, Any]] = Field(
|
|
None,
|
|
description="Custom template parameters (e.g., {'accent_color': '#ff0000', 'background': 'url'}). "
|
|
"Available parameters depend on the template. Use GET /api/templates/{template_path}/params to discover them."
|
|
)
|
|
|
|
# === Image Style ===
|
|
prompt_prefix: Optional[str] = Field(None, description="Image style prefix")
|
|
|
|
# === BGM ===
|
|
bgm_path: Optional[str] = Field(None, description="Background music path")
|
|
bgm_volume: float = Field(0.3, ge=0.0, le=1.0, description="BGM volume (0.0-1.0)")
|
|
|
|
class Config:
|
|
json_schema_extra = {
|
|
"example": {
|
|
"text": "Atomic Habits teaches us that small changes compound over time to produce remarkable results.",
|
|
"mode": "generate",
|
|
"n_scenes": 5,
|
|
"frame_template": "1080x1920/image_default.html",
|
|
"template_params": {
|
|
"accent_color": "#3498db",
|
|
"background": "https://example.com/custom-bg.jpg"
|
|
},
|
|
"title": "The Power of Atomic Habits"
|
|
}
|
|
}
|
|
|
|
|
|
class VideoGenerateResponse(BaseModel):
|
|
"""Video generation response (synchronous)"""
|
|
success: bool = True
|
|
message: str = "Success"
|
|
video_url: str = Field(..., description="URL to access generated video")
|
|
duration: float = Field(..., description="Video duration in seconds")
|
|
file_size: int = Field(..., description="File size in bytes")
|
|
|
|
|
|
class VideoGenerateAsyncResponse(BaseModel):
|
|
"""Video generation async response"""
|
|
success: bool = True
|
|
message: str = "Task created successfully"
|
|
task_id: str = Field(..., description="Task ID for tracking progress")
|
|
|