stream = modeler.script.stream()

# Input
statisticsimport_node = stream.createAt("statisticsimport", "SAV Import", 100, 175)

statisticsimport_node.setPropertyValue("full_filename", "$CLEO_DEMOS/catalog_seasfac.sav")
statisticsimport_node.setPropertyValue("import_names", "NamesAndLabels")
statisticsimport_node.setPropertyValue("import_data", "DataAndLabels")
statisticsimport_node.setPropertyValue("use_field_format_for_storage", True)

statisticsimport_node.setKeyedPropertyValue("direction", "men", "Target")
statisticsimport_node.setKeyedPropertyValue("type", "men", "Default")
statisticsimport_node.setKeyedPropertyValue("value_mode", "men", "Read")
for field in ["date", "women", "jewel", "mail", "page", "phone", "print", "service", "YEAR_", "MONTH_", "DATE_", \
                    "Seasonal_Err_Men", "Seasonal_AdjSer_Men", "Seasonal_Factors_Men", "Seasonal_TrendCycle_Men"]:
    statisticsimport_node.setKeyedPropertyValue("direction", field, "None")

# Ts
ts_node = stream.createAt("ts", "My node", 250, 175)
stream.link(statisticsimport_node, ts_node)

ts_node.setPropertyValue("date_time_field", "date")
ts_node.setPropertyValue("input_interval", "Month")
ts_node.setPropertyValue("method", "Exsmooth")
ts_node.setPropertyValue("cal_PI", True)
ts_node.setPropertyValue("extend_records_into_future", True)
ts_node.setPropertyValue("conf_limits", True)
ts_node.setPropertyValue("noise_res", True)

# Execution
modeler.script.stream().runAll(None)

model_nugget = stream.findByType("applyts", None)

# Timeplot
timeplot_node = stream.createAt("timeplot", "My node", 400, 292)
stream.link(model_nugget, timeplot_node)

timeplot_node.setPropertyValue("use_custom_x_field", True)
timeplot_node.setPropertyValue("x_field", "date")
timeplot_node.setPropertyValue("y_fields", ["men", "$TS-men"])
timeplot_node.setPropertyValue("panel", False)
timeplot_node.setPropertyValue("normalize", False)

timeplot_node.run(None)