import numpy as np

from collections import OrderedDict
from cam_server.pipeline.data_processing import functions
from logging import getLogger

_logger = getLogger(__name__)

def process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata):
    ret = OrderedDict()
    prefix = parameters["camera_name"]
    (x_profile, y_profile) = functions.get_x_y_profile(image)
    _, _, x_fit_amplitude, x_fit_mean, _, _, _ = functions.gauss_fit(x_profile, x_axis)
    _, _, y_fit_amplitude, y_fit_mean, _, _, _ = functions.gauss_fit(y_profile, y_axis)
    x_fwhm = functions.get_fw(x_axis,x_profile)
    y_fwhm = functions.get_fw(y_axis,y_profile)
    intensity = x_profile.sum()
    ret[prefix+":intensity"] = intensity
    ret[prefix+":x_fit_mean"] = x_fit_mean
    ret[prefix+":y_fit_mean"] = y_fit_mean
    ret[prefix+":x_fwhm"] = x_fwhm
    ret[prefix+":y_fwhm"] = y_fwhm
    ret[prefix+":x_fit_amplitude"] = x_fit_amplitude
    ret[prefix+":y_fit_amplitude"] = y_fit_amplitude
    ret[prefix+":xy_test"] = 42
    return ret