Files
AI-Video/api/routers/video.py
2025-11-07 16:59:12 +08:00

175 lines
6.1 KiB
Python

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