128 lines
4.9 KiB
Python
128 lines
4.9 KiB
Python
"""
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Video background removal operations.
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"""
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import requests
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from typing import Optional, Callable
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from fastapi import HTTPException
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from utils.logger_utils import get_service_logger
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from .base import VideoBase
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logger = get_service_logger("wavespeed.generators.video.background")
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class VideoBackground(VideoBase):
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"""Video background removal operations."""
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def remove_background(
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self,
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video: str, # Base64-encoded video or URL
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background_image: Optional[str] = None, # Base64-encoded image or URL (optional)
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enable_sync_mode: bool = False,
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timeout: int = 300,
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progress_callback: Optional[Callable[[float, str], None]] = None,
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) -> bytes:
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"""
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Remove or replace video background using Video Background Remover.
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Args:
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video: Base64-encoded video data URI or public URL (source video)
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background_image: Optional base64-encoded image data URI or public URL (replacement background)
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enable_sync_mode: If True, wait for result and return it directly
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timeout: Request timeout in seconds (default: 300)
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progress_callback: Optional callback function(progress: float, message: str) for progress updates
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Returns:
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bytes: Video with background removed/replaced
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Raises:
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HTTPException: If the background removal fails
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"""
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model_path = "wavespeed-ai/video-background-remover"
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url = f"{self.base_url}/{model_path}"
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# Build payload
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payload = {
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"video": video,
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}
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if background_image:
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payload["background_image"] = background_image
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logger.info(
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f"[WaveSpeed] Video background removal request via {url} "
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f"(has_background={background_image is not None})"
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)
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# Submit the task
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response = requests.post(url, headers=self._get_headers(), json=payload, timeout=timeout)
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if response.status_code != 200:
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logger.error(f"[WaveSpeed] Video background removal submission failed: {response.status_code} {response.text}")
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raise HTTPException(
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status_code=502,
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detail={
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"error": "WaveSpeed video background removal submission failed",
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"status_code": response.status_code,
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"response": response.text,
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},
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)
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response_json = response.json()
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data = response_json.get("data") or response_json
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prediction_id = data.get("id")
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if not prediction_id:
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logger.error(f"[WaveSpeed] No prediction ID in video background removal response: {response.text}")
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raise HTTPException(
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status_code=502,
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detail="WaveSpeed video background removal response missing prediction id",
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)
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logger.info(f"[WaveSpeed] Video background removal task submitted: {prediction_id}")
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if enable_sync_mode:
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result = self.polling.poll_until_complete(
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prediction_id,
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timeout_seconds=timeout,
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interval_seconds=2.0,
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progress_callback=progress_callback,
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)
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outputs = result.get("outputs") or []
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if not outputs:
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raise HTTPException(status_code=502, detail="WaveSpeed video background removal returned no outputs")
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video_url = None
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if isinstance(outputs[0], str):
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video_url = outputs[0]
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elif isinstance(outputs[0], dict):
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video_url = outputs[0].get("url") or outputs[0].get("video_url")
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if not video_url:
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raise HTTPException(status_code=502, detail="WaveSpeed video background removal output format not recognized")
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logger.info(f"[WaveSpeed] Downloading processed video from: {video_url}")
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video_response = requests.get(video_url, timeout=timeout)
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if video_response.status_code != 200:
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logger.error(f"[WaveSpeed] Failed to download processed video: {video_response.status_code}")
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raise HTTPException(
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status_code=502,
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detail="Failed to download processed video from WaveSpeed",
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)
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video_bytes = video_response.content
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logger.info(f"[WaveSpeed] Video background removal completed successfully (size: {len(video_bytes)} bytes)")
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return video_bytes
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else:
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raise HTTPException(
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status_code=501,
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detail={
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"error": "Async mode not yet implemented for video background removal",
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"prediction_id": prediction_id,
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},
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)
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