from collections import OrderedDict
from cam_server.pipeline.data_processing import functions, processor
import numpy as np

def process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata):
    r = processor.process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata)
    ret = OrderedDict()
    channels = ["intensity","x_center_of_mass","x_fwhm","x_rms","x_fit_amplitude", "x_fit_mean","x_fit_offset","x_fit_standard_deviation","x_profile","y_center_of_mass","y_fwhm","y_rms","y_fit_amplitude", "y_fit_mean","y_fit_offset","y_fit_standard_deviation","y_profile"]
    prefix = parameters["camera_name"]
    for c in channels:
        value = r[c]
        if isinstance(value,np.floating):
          value=float(value)
        if isinstance(value,np.integer):
          value=int(value)
        if type(value) == list:
          value = np.array(value)    
        ret[prefix+":"+c] = value
    return ret