import numpy
from cam_server.pipeline.data_processing import functions, processor
from logging import getLogger

_logger = getLogger(__name__)
image_buffer = []

def process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata=None):
    global image_buffer
    averaging = parameters.get("late_averaging")
    if averaging:
        while len(image_buffer)  >= averaging:
            image_buffer.pop(0)
        image_buffer.append(image)
        try:
            frames = numpy.array(image_buffer)
            image = numpy.average(frames, 0)*averaging
            #_logger.info("Averaged: %d" % len(image_buffer))
        except:
            # Different shapes
            image_buffer = []
            return None
    else:
        image_buffer = []

    ret = processor.process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata)
    return ret