feat: Implement video generation functionality and integrate with Kling API.

api/endpoints/generation_router.py

@@ -9,6 +9,7 @@ from api.dependency import get_generation_service, get_project_id, get_dao
 from repos.dao import DAO
 
 from api.models.GenerationRequest import GenerationResponse, GenerationRequest,  GenerationsResponse, PromptResponse, PromptRequest
+from api.models.VideoGenerationRequest import VideoGenerationRequest
 from api.service.generation_service import GenerationService
 from models.Generation import Generation
 
@@ -113,6 +114,25 @@ async def get_running_generations(request: Request,
     return await generation_service.get_running_generations(user_id=user_id_filter, project_id=project_id)
 
 
+@router.post("/video/_run", response_model=GenerationResponse)
+async def post_video_generation(
+        video_request: VideoGenerationRequest,
+        request: Request,
+        generation_service: GenerationService = Depends(get_generation_service),
+        current_user: dict = Depends(get_current_user),
+        project_id: Optional[str] = Depends(get_project_id),
+        dao: DAO = Depends(get_dao),
+) -> GenerationResponse:
+    """Start image-to-video generation using Kling AI."""
+    logger.info(f"post_video_generation called. AssetId: {video_request.image_asset_id}, Duration: {video_request.duration}s, Mode: {video_request.mode}")
+
+    if project_id:
+        project = await dao.projects.get_project(project_id)
+        if not project or str(current_user["_id"]) not in project.members:
+            raise HTTPException(status_code=403, detail="Project access denied")
+        video_request.project_id = project_id
+
+    return await generation_service.create_video_generation_task(video_request, user_id=str(current_user.get("_id")))
 
 
 @router.post("/import", response_model=GenerationResponse)