AI Researcher and Video Studio implementation complete

2026-01-05 15:49:51 +05:30
parent b134e9dc7e
commit 0b63ae7fc1
200 changed files with 39535 additions and 1375 deletions
--- a/backend/services/wavespeed/generators/video/enhancement.py
+++ b/backend/services/wavespeed/generators/video/enhancement.py
@@ -0,0 +1,109 @@
+"""
+Video enhancement operations (upscaling).
+"""
+
+import requests
+from typing import Optional, Callable
+from fastapi import HTTPException
+
+from utils.logger_utils import get_service_logger
+from .base import VideoBase
+
+logger = get_service_logger("wavespeed.generators.video.enhancement")
+
+
+class VideoEnhancement(VideoBase):
+    """Video enhancement operations."""
+    
+    def upscale_video(
+        self,
+        video: str,  # Base64-encoded video or URL
+        target_resolution: str = "1080p",
+        enable_sync_mode: bool = False,
+        timeout: int = 300,
+        progress_callback: Optional[Callable[[float, str], None]] = None,
+    ) -> bytes:
+        """
+        Upscale video using FlashVSR.
+        
+        Args:
+            video: Base64-encoded video data URI or public URL
+            target_resolution: Target resolution ("720p", "1080p", "2k", "4k")
+            enable_sync_mode: If True, wait for result and return it directly
+            timeout: Request timeout in seconds (default: 300 for long videos)
+            progress_callback: Optional callback function(progress: float, message: str) for progress updates
+            
+        Returns:
+            bytes: Upscaled video bytes
+            
+        Raises:
+            HTTPException: If the upscaling fails
+        """
+        model_path = "wavespeed-ai/flashvsr"
+        url = f"{self.base_url}/{model_path}"
+        
+        payload = {
+            "video": video,
+            "target_resolution": target_resolution,
+        }
+        
+        logger.info(f"[WaveSpeed] Upscaling video via {url} (target={target_resolution})")
+        
+        # Submit the task
+        response = requests.post(url, headers=self._get_headers(), json=payload, timeout=timeout)
+        
+        if response.status_code != 200:
+            logger.error(f"[WaveSpeed] FlashVSR submission failed: {response.status_code} {response.text}")
+            raise HTTPException(
+                status_code=502,
+                detail={
+                    "error": "WaveSpeed FlashVSR submission failed",
+                    "status_code": response.status_code,
+                    "response": response.text,
+                },
+            )
+        
+        response_json = response.json()
+        data = response_json.get("data") or response_json
+        prediction_id = data.get("id")
+        
+        if not prediction_id:
+            logger.error(f"[WaveSpeed] No prediction ID in FlashVSR response: {response.text}")
+            raise HTTPException(
+                status_code=502,
+                detail="WaveSpeed FlashVSR response missing prediction id",
+            )
+        
+        logger.info(f"[WaveSpeed] FlashVSR task submitted: {prediction_id}")
+        
+        # Poll for result
+        result = self.polling.poll_until_complete(
+            prediction_id,
+            timeout_seconds=timeout,
+            interval_seconds=2.0,  # Longer interval for upscaling (slower process)
+            progress_callback=progress_callback,
+        )
+        
+        outputs = result.get("outputs") or []
+        if not outputs:
+            raise HTTPException(status_code=502, detail="WaveSpeed FlashVSR returned no outputs")
+        
+        video_url = outputs[0] if isinstance(outputs[0], str) else outputs[0].get("url")
+        if not video_url:
+            raise HTTPException(status_code=502, detail="WaveSpeed FlashVSR output format not recognized")
+        
+        # Download the upscaled video
+        logger.info(f"[WaveSpeed] Downloading upscaled video from: {video_url}")
+        video_response = requests.get(video_url, timeout=timeout)
+        
+        if video_response.status_code != 200:
+            logger.error(f"[WaveSpeed] Failed to download upscaled video: {video_response.status_code}")
+            raise HTTPException(
+                status_code=502,
+                detail="Failed to download upscaled video from WaveSpeed",
+            )
+        
+        video_bytes = video_response.content
+        logger.info(f"[WaveSpeed] Video upscaling completed successfully (size: {len(video_bytes)} bytes)")
+        
+        return video_bytes