from collections import OrderedDict
from cam_server.pipeline.data_processing import functions, processor

def process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata):    
    ret = OrderedDict()
    r = processor.process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata)
    channels = ["intensity","x_fit_mean","y_fit_mean"]
    prefix = parameters["camera_name"]
    #for c in channels:
    #    ret[prefix+":"+c] = r[c]
    ret[prefix+":intensity"] = r["intensity"]
    ret[prefix+":x_fit_mean_v2"] = r["x_fit_mean"]
    ret[prefix+":y_fit_mean"] = r["y_fit_mean"]
    #ret["SARES20-PROF141-M1:intensity"] = 1281954
    #ret["SARES20-PROF141-M1:x_fit_mean"] = 708.7
    #ret["SARES20-PROF141-M1:y_fit_mean"] = 539.3
    return ret