def spectrum_fit_calc_flux_value(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_calc_flux_value
"""
try:
info("spectrum_fit_calc_flux_value()")
ui = SherpaSession()
try:
ui.set_data(params["datasets"])
except Exception, e:
reply_error(msg_id, sedexceptions.DataException, e, mtype)
return
try:
usermodels = []
if (params.has_key("usermodels")):
usermodels = params["usermodels"]
ui.set_parameters(params["models"], usermodels)
except Exception, e:
reply_error(msg_id, sedexceptions.ParameterException, e, mtype)
return
def spectrum_fit_fit(private_key, sender_id, msg_id, mtype, params, extra):
"""
spectrum_fit_fit
"""
try:
info("spectrum_fit_fit()")
ui = SherpaSession()
info("ui session _sources: " + str(ui.session._sources))
info("ui session _models: " + str(ui.session._models))
info("ui session _model_components: " +
str(ui.session._model_components))
info("ui session _data: " + str(ui.session._data))
try:
ui.set_method(params["method"])
except Exception, e:
reply_error(msg_id, sedexceptions.MethodException, e, mtype)
return
try:
ui.set_data(params["datasets"])
except Exception, e:
reply_error(msg_id, sedexceptions.DataException, e, mtype)
return
def spectrum_fit_confidence(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_confidence
"""
try:
info("spectrum_fit_confidence()")
ui = SherpaSession()
try:
ui.set_method(params["method"])
except Exception, e:
reply_error(msg_id, sedexceptions.MethodException, e, mtype)
return
try:
ui.set_data(params["datasets"])
except Exception, e:
reply_error(msg_id, sedexceptions.DataException, e, mtype)
return
def spectrum_fit_set_confidence(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_set_confidence
"""
try:
info("spectrum_fit_set_confidence()")
ui = SherpaSession()
try:
ui.set_confidence(params["confidence"])
except Exception, e:
reply_error(msg_id, sedexceptions.ConfidenceException, e, mtype)
return
reply_success(msg_id, mtype)
def spectrum_fit_set_method(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_set_method
"""
try:
info("spectrum_fit_set_method()")
ui = SherpaSession()
try:
ui.set_method(params["method"])
except Exception, e:
reply_error(msg_id, sedexceptions.MethodException, e, mtype)
return
reply_success(msg_id, mtype)
def spectrum_fit_set_statistic(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_set_statistic
"""
try:
info("spectrum_fit_set_statistic()")
ui = SherpaSession()
try:
ui.set_stat(params["stat"])
except Exception, e:
reply_error(msg_id, sedexceptions.StatisticException, e, mtype)
return
reply_success(msg_id, mtype)
def spectrum_fit_set_data(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_fit_set_model
"""
try:
info("spectrum_fit_set_data()")
ui = SherpaSession()
try:
ui.set_data(params["datasets"])
except Exception, e:
reply_error(msg_id, sedexceptions.DataException, e, mtype)
return
reply_success(msg_id, mtype)
def load_table_fits(private_key, sender_id, msg_id, mtype, params, extra):
"""
load_table_fits
"""
try:
info("load_table_fits()")
ui = SherpaSession()
try:
# native Sherpa command
ui.session.load_table(params["url"])
except Exception, e:
reply_error(msg_id, sedexceptions.DataException, e, mtype)
return
reply_success(msg_id, mtype)