205 lines
7.4 KiB
Python
205 lines
7.4 KiB
Python
"""
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Video generation endpoints
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Supports both synchronous and asynchronous video generation.
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"""
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import os
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from fastapi import APIRouter, HTTPException, Request
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from loguru import logger
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from api.dependencies import PixelleVideoDep
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from api.schemas.video import (
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VideoGenerateRequest,
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VideoGenerateResponse,
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VideoGenerateAsyncResponse,
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)
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from api.tasks import task_manager, TaskType
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router = APIRouter(prefix="/video", tags=["Video Generation"])
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def path_to_url(request: Request, file_path: str) -> str:
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"""Convert file path to accessible URL"""
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# file_path is like "output/abc123.mp4"
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# Remove "output/" prefix for cleaner URL
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if file_path.startswith("output/"):
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file_path = file_path[7:] # Remove "output/"
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base_url = str(request.base_url).rstrip('/')
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return f"{base_url}/api/files/{file_path}"
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@router.post("/generate/sync", response_model=VideoGenerateResponse)
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async def generate_video_sync(
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request_body: VideoGenerateRequest,
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pixelle_video: PixelleVideoDep,
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request: Request
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):
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"""
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Generate video synchronously
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This endpoint blocks until video generation is complete.
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Suitable for small videos (< 30 seconds).
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**Note**: May timeout for large videos. Use `/generate/async` instead.
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Request body includes all video generation parameters.
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See VideoGenerateRequest schema for details.
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Returns path to generated video, duration, and file size.
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"""
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try:
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logger.info(f"Sync video generation: {request_body.text[:50]}...")
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# Build video generation parameters
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video_params = {
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"text": request_body.text,
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"mode": request_body.mode,
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"title": request_body.title,
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"n_scenes": request_body.n_scenes,
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"min_narration_words": request_body.min_narration_words,
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"max_narration_words": request_body.max_narration_words,
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"min_image_prompt_words": request_body.min_image_prompt_words,
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"max_image_prompt_words": request_body.max_image_prompt_words,
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"image_width": request_body.image_width,
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"image_height": request_body.image_height,
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"image_workflow": request_body.image_workflow,
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"video_fps": request_body.video_fps,
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"frame_template": request_body.frame_template,
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"prompt_prefix": request_body.prompt_prefix,
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"bgm_path": request_body.bgm_path,
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"bgm_volume": request_body.bgm_volume,
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}
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# Add TTS workflow if specified
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if request_body.tts_workflow:
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video_params["tts_workflow"] = request_body.tts_workflow
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# Add ref_audio if specified
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if request_body.ref_audio:
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video_params["ref_audio"] = request_body.ref_audio
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# Legacy voice_id support (deprecated)
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if request_body.voice_id:
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logger.warning("voice_id parameter is deprecated, please use tts_workflow instead")
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video_params["voice_id"] = request_body.voice_id
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# Call video generator service
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result = await pixelle_video.generate_video(**video_params)
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# Get file size
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file_size = os.path.getsize(result.video_path) if os.path.exists(result.video_path) else 0
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# Convert path to URL
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video_url = path_to_url(request, result.video_path)
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return VideoGenerateResponse(
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video_url=video_url,
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duration=result.duration,
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file_size=file_size
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)
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except Exception as e:
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logger.error(f"Sync video generation error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@router.post("/generate/async", response_model=VideoGenerateAsyncResponse)
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async def generate_video_async(
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request_body: VideoGenerateRequest,
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pixelle_video: PixelleVideoDep,
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request: Request
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):
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"""
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Generate video asynchronously
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Creates a background task for video generation.
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Returns immediately with a task_id for tracking progress.
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**Workflow:**
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1. Submit video generation request
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2. Receive task_id in response
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3. Poll `/api/tasks/{task_id}` to check status
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4. When status is "completed", retrieve video from result
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Request body includes all video generation parameters.
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See VideoGenerateRequest schema for details.
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Returns task_id for tracking progress.
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"""
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try:
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logger.info(f"Async video generation: {request_body.text[:50]}...")
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# Create task
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task = task_manager.create_task(
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task_type=TaskType.VIDEO_GENERATION,
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request_params=request_body.model_dump()
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)
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# Define async execution function
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async def execute_video_generation():
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"""Execute video generation in background"""
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# Build video generation parameters
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video_params = {
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"text": request_body.text,
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"mode": request_body.mode,
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"title": request_body.title,
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"n_scenes": request_body.n_scenes,
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"min_narration_words": request_body.min_narration_words,
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"max_narration_words": request_body.max_narration_words,
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"min_image_prompt_words": request_body.min_image_prompt_words,
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"max_image_prompt_words": request_body.max_image_prompt_words,
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"image_width": request_body.image_width,
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"image_height": request_body.image_height,
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"image_workflow": request_body.image_workflow,
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"video_fps": request_body.video_fps,
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"frame_template": request_body.frame_template,
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"prompt_prefix": request_body.prompt_prefix,
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"bgm_path": request_body.bgm_path,
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"bgm_volume": request_body.bgm_volume,
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# Progress callback can be added here if needed
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# "progress_callback": lambda event: task_manager.update_progress(...)
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}
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# Add TTS workflow if specified
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if request_body.tts_workflow:
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video_params["tts_workflow"] = request_body.tts_workflow
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# Add ref_audio if specified
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if request_body.ref_audio:
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video_params["ref_audio"] = request_body.ref_audio
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# Legacy voice_id support (deprecated)
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if request_body.voice_id:
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logger.warning("voice_id parameter is deprecated, please use tts_workflow instead")
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video_params["voice_id"] = request_body.voice_id
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result = await pixelle_video.generate_video(**video_params)
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# Get file size
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file_size = os.path.getsize(result.video_path) if os.path.exists(result.video_path) else 0
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# Convert path to URL
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video_url = path_to_url(request, result.video_path)
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return {
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"video_url": video_url,
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"duration": result.duration,
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"file_size": file_size
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}
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# Start execution
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await task_manager.execute_task(
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task_id=task.task_id,
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coro_func=execute_video_generation
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)
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return VideoGenerateAsyncResponse(
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task_id=task.task_id
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)
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except Exception as e:
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logger.error(f"Async video generation error: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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