X-Git-Url: http://nitlanguage.org

diff --git a/src/metrics/metrics_base.nit b/src/metrics/metrics_base.nit
index 77878a9..959041b 100644
--- a/src/metrics/metrics_base.nit
+++ b/src/metrics/metrics_base.nit
@@ -18,7 +18,7 @@
 # Helpers for various statistics tools.
 module metrics_base
 
-import model_utils
+import modelbuilder
 import csv
 import counter
 import console
@@ -32,7 +32,8 @@ redef class ToolContext
 	var opt_mmodules = new OptionBool("Compute metrics about mmodules", "--mmodules")
 	# --mclassses
 	var opt_mclasses = new OptionBool("Compute metrics about mclasses", "--mclasses")
-
+	# --mendel
+	var opt_mendel = new OptionBool("Compute mendel metrics", "--mendel")
 	# --inheritance
 	var opt_inheritance = new OptionBool("Compute metrics about inheritance usage", "--inheritance")
 	# --genericity
@@ -49,18 +50,20 @@ redef class ToolContext
 	var opt_tables = new OptionBool("Compute tables metrics", "--tables")
 	# --rta
 	var opt_rta = new OptionBool("Compute RTA metrics", "--rta")
+	# --readme
+	var opt_readme = new OptionBool("Compute ReadMe metrics", "--readme")
 	# --generate-csv
-	var opt_generate_csv = new OptionBool("Generate CVS format metrics", "--generate-csv")
+	var opt_csv = new OptionBool("Also export metrics in CSV format", "--csv")
 	# --generate_hyperdoc
 	var opt_generate_hyperdoc = new OptionBool("Generate Hyperdoc", "--generate_hyperdoc")
 	# --poset
 	var opt_poset = new OptionBool("Complete metrics on posets", "--poset")
-
 	# --no-colors
 	var opt_nocolors = new OptionBool("Disable colors in console outputs", "--no-colors")
-
-
+	# --dir
 	var opt_dir = new OptionString("Directory where some statistics files are generated", "-d", "--dir")
+
+	# Output directory for metrics files.
 	var output_dir: String = "."
 
 	redef init
@@ -69,6 +72,7 @@ redef class ToolContext
 		self.option_context.add_option(opt_all)
 		self.option_context.add_option(opt_mmodules)
 		self.option_context.add_option(opt_mclasses)
+		self.option_context.add_option(opt_mendel)
 		self.option_context.add_option(opt_inheritance)
 		self.option_context.add_option(opt_refinement)
 		self.option_context.add_option(opt_self)
@@ -77,14 +81,15 @@ redef class ToolContext
 		self.option_context.add_option(opt_static_types)
 		self.option_context.add_option(opt_tables)
 		self.option_context.add_option(opt_rta)
-		self.option_context.add_option(opt_generate_csv)
+		self.option_context.add_option(opt_readme)
+		self.option_context.add_option(opt_csv)
 		self.option_context.add_option(opt_generate_hyperdoc)
 		self.option_context.add_option(opt_poset)
 		self.option_context.add_option(opt_dir)
 		self.option_context.add_option(opt_nocolors)
 	end
 
-	redef fun process_options
+	redef fun process_options(args)
 	do
 		super
 		var val = self.opt_dir.value
@@ -95,27 +100,41 @@ redef class ToolContext
 		end
 	end
 
-	# colorize heading 1 for console output
+	# Format and colorize a string heading of level 1 for console output.
+	#
+	# Default style is yellow and bold.
 	fun format_h1(str: String): String do
 		if opt_nocolors.value then return str
 		return str.yellow.bold
 	end
 
+	# Format and colorize a string heading of level 2 for console output.
+	#
+	# Default style is white and bold.
 	fun format_h2(str: String): String do
 		if opt_nocolors.value then return str
 		return str.bold
 	end
 
+	# Format and colorize a string heading of level 3 for console output.
+	#
+	# Default style is white and nobold.
 	fun format_h3(str: String): String do
 		if opt_nocolors.value then return str
 		return str
 	end
 
+	# Format and colorize a string heading of level 4 for console output.
+	#
+	# Default style is green.
 	fun format_h4(str: String): String do
 		if opt_nocolors.value then return str
 		return str.green
 	end
 
+	# Format and colorize a string heading of level 5 for console output.
+	#
+	# Default style is light gray.
 	fun format_p(str: String): String do
 		if opt_nocolors.value then return str
 		return str.light_gray
@@ -123,106 +142,229 @@ redef class ToolContext
 
 end
 
-redef class MClass
-	# is the class imported from standard lib?
-	fun is_standard: Bool do
-		return self.intro_mmodule.mgroup.mproject.name == "standard"
-	end
-end
-
-redef class MModule
-	# is the module imported from standard lib?
-	fun is_standard: Bool do
-		return self.mgroup.mproject.name == "standard"
-	end
-end
-
 # A Metric is used to collect data about things
 #
 # The concept is reified here for a better organization and documentation
 interface Metric
+
+	# Type of elements measured by this metric.
+	type ELM: Object
+
+	# Type of values used to measure elements.
+	type VAL: Object
+
+	# Type of data representation used to associate elements and values.
+	type RES: Map[ELM, VAL]
+
+	# The name of this metric (generally an acronym about the metric).
 	fun name: String is abstract
+
+	# A long and understandable description about what is measured by this metric.
 	fun desc: String is abstract
-	# clear all results for this metric
+
+	# Clear all results for this metric
 	fun clear is abstract
+
+	# Values for each element
+	fun values: RES is abstract
+
+	# Collect metric values on elements
+	fun collect(elements: Collection[ELM]) is abstract
+
+	# The value calculated for the element
+	fun [](element: ELM): VAL do return values[element]
+
+	# Does the element have a value for this metric?
+	fun has_element(element: ELM): Bool do return values.has_key(element)
+
+	# The values average
+	fun avg: Float is abstract
+
+	# Pretty print the metric results in console
+	fun to_console(indent: Int, colors: Bool) do
+		if values.is_empty then
+			if colors then
+				print "{"\t" * indent}{name}: {desc} -- nothing".green
+			else
+				print "{"\t" * indent}{name}: {desc} -- nothing"
+			end
+			return
+		end
+
+		var max = self.max
+		var min = self.min
+		if colors then
+			print "{"\t" * indent}{name}: {desc}".green
+			print "{"\t" * indent}  avg: {avg}".light_gray
+			print "{"\t" * indent}  max: {max} ({self[max]})".light_gray
+			print "{"\t" * indent}  min: {min} ({self[min]})".light_gray
+			print "{"\t" * indent}  std: {std_dev}".light_gray
+		else
+			print "{"\t" * indent}{name}: {desc}"
+			print "{"\t" * indent}  avg: {avg}"
+			print "{"\t" * indent}  max: {max} ({self[max]})"
+			print "{"\t" * indent}  min: {min} ({self[min]})"
+			print "{"\t" * indent}  std: {std_dev}"
+		end
+	end
+
+	# The sum of all the values.
+	fun sum: VAL is abstract
+
+	# The values standard derivation
+	fun std_dev: Float is abstract
+
+	# The element with the highest value
+	fun max: ELM is abstract
+
+	# The element with the lowest value
+	fun min: ELM is abstract
+
+	# The value threshold above what elements are considered as 'interesting'
+	fun threshold: Float do return avg + std_dev
+
+	# The set of element above the threshold
+	fun above_threshold: Set[ELM] is abstract
+
+	# Sort the metric keys by values
+	fun sort: Array[ELM] do
+		return values.keys_sorted_by_values(default_reverse_comparator)
+	end
 end
 
 # A Metric that collects integer data
 #
 # Used to count things
-class IntMetric[E: Object]
+class IntMetric
 	super Metric
 
-	var values = new Counter[E]
+	redef type VAL: Int is fixed
+	redef type RES: Counter[ELM]
 
-	redef fun clear do values.clear
+	# `IntMetric` uses a Counter to store values in intern.
+	protected var values_cache = new Counter[ELM]
 
-	# Return the couple with the highest value
-	fun max: Couple[E, Int] do
-		assert not values.is_empty
-		var elem = values.max.as(not null)
-		var value = values[elem]
-		return new Couple[E, Int](elem, value)
+	redef fun values do return values_cache
+
+	redef fun clear do values_cache.clear
+
+	redef fun sum do return values_cache.sum
+
+	redef fun max do
+		assert not values_cache.is_empty
+		return values_cache.max.as(not null)
 	end
 
-	# Return the couple with the lowest value
-	fun min: Couple[E, Int] do
-		assert not values.is_empty
-		var elem = values.min.as(not null)
-		var value = values[elem]
-		return new Couple[E, Int](elem, value)
+	redef fun min do
+		assert not values_cache.is_empty
+		return values_cache.min.as(not null)
 	end
 
 	# Values average
-	fun avg: Float do return values.avg
+	redef fun avg do return values_cache.avg
+
+	redef fun std_dev do return values_cache.std_dev
+
+	redef fun above_threshold do
+		var above = new HashSet[ELM]
+		var threshold = threshold
+		for element, value in values do
+			if value.to_f > threshold then above.add(element)
+		end
+		return above
+	end
+
+	redef fun to_console(indent, colors) do
+		super
+		if colors then
+			print "{"\t" * indent}  sum: {sum}".light_gray
+		else
+			print "{"\t" * indent}  sum: {sum}"
+		end
+	end
 end
 
 # A Metric that collects float datas
 #
 # Used sor summarization
-class FloatMetric[E: Object]
+class FloatMetric
 	super Metric
 
-	var values: Map[E, Float] = new HashMap[E, Float]
+	redef type VAL: Float
+
+	# `FloatMetric` uses a Map to store values in intern.
+	protected var values_cache = new HashMap[ELM, VAL]
+
+	redef fun values do return values_cache
 
-	redef fun clear do values.clear
+	redef fun clear do values_cache.clear
 
-	# Return the couple with the highest value
-	fun max: Couple[E, Float] do
+
+	redef fun sum do
+		var sum = 0.0
+		for v in values.values do
+			if v.is_nan then continue
+			sum += v
+		end
+		return sum
+	end
+
+	redef fun max do
 		assert not values.is_empty
 		var max: nullable Float = null
-		var elem: nullable E = null
+		var elem: nullable ELM = null
 		for e, v in values do
 			if max == null or v > max then
 				max = v
 				elem = e
 			end
 		end
-		return new Couple[E, Float](elem.as(not null), max.as(not null))
+		return elem.as(not null)
 	end
 
-	# Return the couple with the lowest value
-	fun min: Couple[E, Float] do
+	redef fun min do
 		assert not values.is_empty
 		var min: nullable Float = null
-		var elem: nullable E = null
+		var elem: nullable ELM = null
 		for e, v in values do
 			if min == null or v < min then
 				min = v
 				elem = e
 			end
 		end
-		return new Couple[E, Float](elem.as(not null), min.as(not null))
+		return elem.as(not null)
 	end
 
-	# Values average
-	fun avg: Float do
+	redef fun avg do
 		if values.is_empty then return 0.0
+		return sum / values.length.to_f
+	end
+
+	redef fun std_dev do
 		var sum = 0.0
 		for value in values.values do
-			sum += value
+			if value.is_nan then continue
+			sum += (value - avg).pow(2.to_f)
+		end
+		return (sum / values.length.to_f).sqrt
+	end
+
+	redef fun above_threshold do
+		var above = new HashSet[ELM]
+		var threshold = threshold
+		for element, value in values do
+			if value > threshold then above.add(element)
+		end
+		return above
+	end
+
+	redef fun to_console(indent, colors) do
+		super
+		if colors then
+			print "{"\t" * indent}  sum: {sum}".light_gray
+		else
+			print "{"\t" * indent}  sum: {sum}"
 		end
-		return sum / values.length.to_f
 	end
 end
 
@@ -230,14 +372,56 @@ end
 #
 # It purpose is to be extended with a metric collect service
 class MetricSet
-	type METRIC: Metric
+
+	# Type of element measured by this `MetricSet`.
+	type ELM: Object
 
 	# Metrics to compute
-	var metrics: Map[String, METRIC] = new HashMap[String, METRIC]
+	var metrics: Set[Metric] = new HashSet[Metric]
 
 	# Add a metric to the set
-	fun register(metrics: METRIC...) do for metric in metrics do self.metrics[metric.name] = metric
+	fun register(metrics: Metric...) do for metric in metrics do self.metrics.add(metric)
 
 	# Clear all results for all metrics
-	fun clear do for metric in metrics.values do metric.clear
+	fun clear do for metric in metrics do metric.clear
+
+	# Collect all metrics for this set of class
+	fun collect(elements: Set[ELM]) do
+		for metric in metrics do metric.collect(elements)
+	end
+
+	# Pretty print the resuls in console
+	fun to_console(indent: Int, colors: Bool) do
+		for metric in metrics do metric.to_console(indent, colors)
+	end
+
+	# Export the metric set in CSV format
+	fun to_csv: CsvDocument do
+		var csv = new CsvDocument
+		csv.separator = ';'
+
+		# set csv headers
+		csv.header.add("entry")
+		for metric in metrics do csv.header.add(metric.name)
+
+		# collect all entries to merge metric results
+		var entries = new HashSet[ELM]
+		for metric in metrics do
+			for entry in metric.values.keys do entries.add(entry)
+		end
+
+		# collect results
+		for entry in entries do
+			var line = [entry.to_s]
+			for metric in metrics do
+				if metric.has_element(entry) then
+					line.add(metric[entry].to_s)
+				else
+					line.add("n/a")
+				end
+			end
+			csv.records.add(line)
+		end
+		return csv
+	end
 end