import bpy
import numpy as np

import blendtorch.btb as btb

def main():
    # Parse script arguments passed via blendtorch launcher
    btargs, remainder = btb.parse_blendtorch_args()

    cam = bpy.context.scene.camera
    cube = bpy.data.objects["Cube"]

    def pre_frame():
        # Randomize cube rotation
        cube.rotation_euler = np.random.uniform(0,np.pi,size=3)  
        
    def post_frame(off, pub, anim, cam):
        # Called every after Blender finished processing a frame.
        # Will be sent to one of the remote dataset listener connected.
        pub.publish(
            image=off.render(), 
            xy=cam.object_to_pixel(cube), 
            frameid=anim.frameid
        )

    # Data source
    pub = btb.DataPublisher(btargs.btsockets['DATA'], btargs.btid)

    # Setup default image rendering
    cam = btb.Camera()
    off = btb.Renderer(btargs.btid, camera=cam, mode='rgb')

    # Setup the animation and run endlessly
    anim = btb.AnimationController()
    anim.pre_frame.add(pre_frame)
    anim.post_frame.add(post_frame, off, pub, anim, cam)    
    anim.play(frame_range=(0,100), num_episodes=-1, use_offline_render=False)

main()