module nitmetrics
import modelbuilder
-import exprbuilder
+import frontend
import metrics
# Create a tool context to handle options and paths
var modelbuilder = new ModelBuilder(model, toolcontext)
# Here we load an process all modules passed on the command line
-var mmodules = modelbuilder.parse_and_build(arguments)
-modelbuilder.full_propdef_semantic_analysis
+var mmodules = modelbuilder.parse(arguments)
+modelbuilder.run_phases
if mmodules.length == 0 then return
mainmodule.set_imported_mmodules(mmodules)
end
-# Now, we just have to play with the model!
-print "*** STATS ***"
+print "*** METRICS ***"
-print ""
-compute_statistics(model)
+# All metrics computation ?
+var all = toolcontext.opt_all.value
+
+# Inheritance usage metrics
+if all or toolcontext.opt_inheritance.value then
+ print ""
+ compute_inheritance_metrics(toolcontext, model)
+end
+
+# Refinement usage metrics
+if all or toolcontext.opt_refinement.value then
+ print ""
+ compute_refinement_metrics(model)
+end
# Self usage metrics
-if toolcontext.opt_self.value then
+if all or toolcontext.opt_self.value then
print ""
compute_self_metrics(modelbuilder)
end
# Nullables metrics
-if toolcontext.opt_nullables.value then
+if all or toolcontext.opt_nullables.value then
print ""
compute_nullables_metrics(modelbuilder)
end
# Static types metrics
-if toolcontext.opt_static_types.value then
+if all or toolcontext.opt_static_types.value then
print ""
compute_static_types_metrics(modelbuilder)
end
# Tables metrics
-if toolcontext.opt_tables.value then
+if all or toolcontext.opt_tables.value then
print ""
compute_tables_metrics(mainmodule)
end
# RTA metrics
-if toolcontext.opt_rta.value then
+if all or toolcontext.opt_rta.value then
print ""
compute_rta_metrics(modelbuilder, mainmodule)
end