# Collect common metrics about modules
module mmodules_metrics
-import model
import metrics_base
-import phase
-import frontend
redef class ToolContext
- var mmodules_metrics_phase = new MModulesMetricsPhase(self, null)
+ 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
print toolcontext.format_h1("\n# MModules metrics")
for mproject in model.mprojects do
print toolcontext.format_h2("\n ## project {mproject}")
-
for mgroup in mproject.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.clear
metrics.collect(new HashSet[MModule].from(mgroup.mmodules))
- for metric in metrics.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
+ metrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then metrics.to_csv.save("{out}/{mgroup}.csv")
end
end
if not mmodules.is_empty then
print toolcontext.format_h2("\n ## global metrics")
metrics.clear
metrics.collect(mmodules)
- for metric in metrics.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
+ metrics.to_console(1, not toolcontext.opt_nocolors.value)
+ if csv then metrics.to_csv.save("{out}/summary.csv")
end
end
end