# Collect common metrics about modules
module mmodules_metrics
-import model
import metrics_base
-import phase
-import frontend
+import model::model_collect
redef class ToolContext
- var mmodules_metrics_phase = new MModulesMetricsPhase(self, null)
+
+ # MModules related metrics phase
+ var mmodules_metrics_phase: Phase = new MModulesMetricsPhase(self, null)
end
# Extract metrics about modules from the model.
private class MModulesMetricsPhase
super Phase
- redef fun process_mainmodule(mainmodule)
+ redef fun process_mainmodule(mainmodule, given_mmodules)
do
if not toolcontext.opt_mmodules.value and not toolcontext.opt_all.value then return
+ var csv = toolcontext.opt_csv.value
+ var out = "{toolcontext.opt_dir.value or else "metrics"}/mmodules"
+ out.mkdir
+
+ var model = toolcontext.modelbuilder.model
print toolcontext.format_h1("\n# MModules metrics")
- var metrics = new MModuleMetricSet
- metrics.register(new MNOA, new MNOP, new MNOC, new MNOD, new MDIT)
- metrics.register(new MNBI, new MNBR, new MNBCC, new MNBAC, new MNBIC)
+ var metrics = new MetricSet
+ metrics.register(new MNOA(model, mainmodule))
+ metrics.register(new MNOP(model, mainmodule))
+ metrics.register(new MNOC(model, mainmodule))
+ metrics.register(new MNOD(model, mainmodule))
+ metrics.register(new MDIT(model, mainmodule))
+ metrics.register(new MNBI(model, mainmodule))
+ metrics.register(new MNBR(model, mainmodule))
+ metrics.register(new MNBCC(model, mainmodule))
+ metrics.register(new MNBAC(model, mainmodule))
+ metrics.register(new MNBIC(model, mainmodule))
- var model = toolcontext.modelbuilder.model
var mmodules = new HashSet[MModule]
- for mproject in model.mprojects do
+ for mpackage in model.mpackages do
- print toolcontext.format_h2("\n ## project {mproject}")
-
- for mgroup in mproject.mgroups do
+ print toolcontext.format_h2("\n ## package {mpackage}")
+ for mgroup in mpackage.mgroups do
if mgroup.mmodules.is_empty then continue
# Scalar metrics
print toolcontext.format_h3(" `- group {mgroup.full_name}")
-
mmodules.add_all(mgroup.mmodules)
- metrics.collect(new HashSet[MModule].from(mgroup.mmodules), mainmodule)
- for name, metric in metrics.metrics do
- if metric isa IntMetric then
- print toolcontext.format_h4("\t{name}: {metric.desc}")
- print toolcontext.format_p("\t avg: {metric.avg}")
- var max = metric.max
- print toolcontext.format_p("\t max: {max.first} ({max.second})")
- var min = metric.min
- print toolcontext.format_p("\t min: {min.first} ({min.second})")
- end
- end
+ metrics.clear
+ metrics.collect(new HashSet[MModule].from(mgroup.mmodules))
+ metrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then metrics.to_csv.write_to_file("{out}/{mgroup}.csv")
end
end
if not mmodules.is_empty then
# Global metrics
print toolcontext.format_h2("\n ## global metrics")
-
- metrics.collect(mmodules, mainmodule)
- for name, metric in metrics.metrics do
- if metric isa IntMetric then
- print toolcontext.format_h4( "\t{name}: {metric.desc}")
- print toolcontext.format_p("\t avg: {metric.avg}")
- var max = metric.max
- print toolcontext.format_p("\t max: {max.first} ({max.second})")
- var min = metric.min
- print toolcontext.format_p("\t min: {min.first} ({min.second})")
- end
- end
+ metrics.clear
+ metrics.collect(mmodules)
+ metrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then metrics.to_csv.write_to_file("{out}/summary.csv")
end
end
end
-# A MetricSet for metrics about MModules
-class MModuleMetricSet
- super MetricSet
- redef type METRIC: MModuleMetric
-
- # Collect all the metrics on the set of MModules
- fun collect(mmodules: Set[MModule], mainmodule: MModule) do
- clear
- for metric in metrics.values do
- metric.collect(mmodules)
- end
- end
-end
-
-# An abstract Metric on MModules
+# A metric about MModule
abstract class MModuleMetric
super Metric
redef type ELM: MModule
+
+ # Model view used to collect and filter entities
+ var model: Model
+
+ # Mainmodule used for linearization
+ var mainmodule: MModule
+
+ # Filter to apply on model if any
+ var filter: nullable ModelFilter
end
# Module Metric: Number of Ancestors
end
end
+# Module Metric: Number of Accessible Definitions (of all kind)
+#
+# count all mclasses accessible by the module
+class MNBD
+ super MModuleMetric
+ super IntMetric
+ redef fun name do return "mnbd"
+ redef fun desc do return "number of definition accessibles in module"
+
+ redef fun collect(mmodules) do
+ for mmodule in mmodules do
+ values[mmodule] = 0
+ for a in mmodule.collect_ancestors(mainmodule, filter) do
+ values[mmodule] += a.intro_mclasses.length
+ end
+ end
+ end
+end
+
# Module Metric: Number of Introduction (of all kind)
#
# count all mclasses introduced by the module
end
end
end
-
-
nitlanguage / nit.git / blobdiff