# prefixes renamed

docs/tutorial.rst

@@ -26,8 +26,8 @@ with Grasshopper's **Param** components:
 
 Rename these components:
 
-- for inputs, use the names of the design parameters prefixed with ``GENERATED_``
-- for outputs, use the names of the performance attributes prefixed with ``REAL_``
+- for inputs, use the names of the design parameters prefixed with ``DP_`` (accronym for *Design Parameters*)
+- for outputs, use the names of the performance attributes prefixed with ``PA_`` (accronym for *Performance Attributes*).
 
 
 .. hint::

src/aixd_ara/gh_ui_helper.py

@@ -187,7 +187,7 @@ def instantiate_sample(ghdoc, sample_dict):
     """
 
     for dp_name, dp_vals in sample_dict["design_parameters"].items():
-        component_name = "GENERATED_{}".format(dp_name)
+        component_name = "DP_{}".format(dp_name)
         component = find_component_by_nickname(ghdoc, component_name)
 
         if not dp_vals:

src/aixd_ara/scripts/dataset_generator.py

@@ -65,14 +65,14 @@ def analysis_callback(ghdoc, dp_samples, pa_names):
     # pass design parameters (sample by sample) to Grasshopper model and read the performance attributes
     for sample in dp_samples:
         for dp_name, dp_vals in sample.items():
-            component_name = "GENERATED_{}".format(dp_name)
+            component_name = "DP_{}".format(dp_name)
             component = find_component_by_nickname(ghdoc, component_name)
             ghparam_set_values(component, dp_vals, expire=False)
 
         pa_dict = {k: [] for k in pa_names}
         for pa_name in pa_names:
 
-            component_name = "REAL_{}".format(pa_name)
+            component_name = "PA_{}".format(pa_name)
             component = find_component_by_nickname(ghdoc, component_name)
             pa_vals = ghparam_get_values(component, compute=True)
             if isinstance(pa_vals, list):