# Collect metrics about inheritance usage
module inheritance_metrics
-import model
+import metrics_base
import mmodules_metrics
import mclasses_metrics
-import phase
-import frontend
redef class ToolContext
- var inheritance_metrics_phase = new InheritanceMetricsPhase(self, null)
+ var inheritance_metrics_phase: Phase = new InheritanceMetricsPhase(self, null)
end
# Extract metrics about inheritance from model.
private class InheritanceMetricsPhase
super Phase
- redef fun process_mainmodule(mainmodule)
+ redef fun process_mainmodule(mainmodule, given_mmodules)
do
if not toolcontext.opt_inheritance.value and not toolcontext.opt_all.value then return
+ var csv = toolcontext.opt_csv.value
+ var out = "{toolcontext.opt_dir.value or else "metrics"}/inheritance"
+ out.mkdir
print toolcontext.format_h1("\n# Inheritance metrics")
if mod_mclasses.is_empty then continue
mmodules.add_all(mgroup.mmodules)
mclasses.add_all(mod_mclasses)
+ cmetrics.clear
cmetrics.collect(new HashSet[MClass].from(mod_mclasses))
- for metric in cmetrics.metrics do
- if metric isa IntMetric then
- print toolcontext.format_h4("\t{metric.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
+ cmetrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then cmetrics.to_csv.save("{out}/{mgroup}_classes.csv")
+ hmetrics.clear
hmetrics.collect(new HashSet[MModule].from(mgroup.mmodules))
- for metric in hmetrics.metrics do
- if metric isa FloatMetric then
- print toolcontext.format_h4("\t{metric.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
+ hmetrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then hmetrics.to_csv.save("{out}/{mgroup}_inheritance.csv")
end
end
if not mclasses.is_empty then
print toolcontext.format_h2("\n ## global metrics")
cmetrics.clear
cmetrics.collect(mclasses)
- for metric in cmetrics.metrics do
- if metric isa IntMetric then
- print toolcontext.format_h4("\t{metric.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
+ cmetrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then cmetrics.to_csv.save("{out}/summary_classes.csv")
hmetrics.clear
hmetrics.collect(mmodules)
- for metric in hmetrics.metrics do
- if metric isa FloatMetric then
- print toolcontext.format_h4("\t{metric.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
+ hmetrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then hmetrics.to_csv.save("{out}/summary_inheritance.csv")
end
end
end