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path: root/longbow/src/python/site-packages/longbow/VocabularyReport.py
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#! /usr/bin/env python
# Copyright (c) 2017 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

#

import sys
import itertools

import LongBow

def computeVocabularyScore(tokenCount):
	return 100.0


def csvFunctionResult(file, function):
	score = computeVocabularyScore(file.token_count)
	string = "vocabulary,%s,%s,%d,%d,%.2f" % (file.filename, function.name, function.start_line, function.token_count, score)

	LongBow.scorePrinter([90, 80], score, string)
	return function.token_count


def csvFileVocabulary(file):
	score = computeVocabularyScore(file.token_count)
	string = "vocabulary,%s,,,%.2f,%.2f" % (file.filename, file.average_token, score)
	LongBow.scorePrinter([90, 80], score, string)
	return


def csvFunction(fileInformationList):
	for fileInformation in fileInformationList:
		complexities = map(lambda function: csvFunctionResult(fileInformation, function), fileInformation)
	return


def csvSummary(fileInformationList):
	map(lambda file: csvFileVocabulary(file), fileInformationList)
	return


def textFunctionResult(file, function, maxFileNameLength, maxFunctionNameLength):
	score = computeVocabularyScore(function.token_count)
	format = "%-" + str(maxFileNameLength) + "s %-" + str(maxFunctionNameLength) + "s %3d %3d %6.2f"
	string = format % (file.filename, function.name, function.start_line, function.token_count, score)

	LongBow.scorePrinter([90, 80], score, string)
	return function.cyclomatic_complexity


def textFileVocabulary(file, maxFileNameLength, printFormat=""):
	score = computeVocabularyScore(file.average_CCN)
	if printFormat == "":
		printFormat = "%-" + str(maxFileNameLength) + "s %6.2f %6.2f"
	string =  printFormat % (file.filename, file.average_token, score)
	LongBow.scorePrinter([90, 80], score, string)
	return


def computeMaxFileNameLength(fileInformationList):
	result = 0
	for fileInformation in fileInformationList:
		if len(fileInformation.filename) > result:
			result = len(fileInformation.filename)
	return result


def computeMaxFunctionNameLength(fileInformationList):
	result = 0
	for fileInformation in fileInformationList:
		if len(fileInformation.filename) > result:
			result = len(fileInformation.filename)
	return result


def textFunction(fileInformationList):
		maxFileNameLength = max(map(lambda fileInformation: len(fileInformation.filename), fileInformationList))
		maxFunctionNameLength = max(map(lambda fileInformation: max(map(lambda function: len(function.name), fileInformation)), fileInformationList))

		for fileInformation in fileInformationList:
			complexities = map(lambda function: textFunctionResult(fileInformation, function,  maxFileNameLength, maxFunctionNameLength), fileInformation)
		return


def textSummary(fileInformationList, prefix=""):
	if len(fileInformationList) < 1:
		print "%sNo Files To Grade" % prefix
		return
	maxFileNameLength = max(map(lambda fileInformation: len(fileInformation.filename), fileInformationList))
	printFormat = prefix + "%-" + str(maxFileNameLength) + "s %10s %6s"
	print printFormat % ("File Path", "Ave Token", "Score")
	printFormat = prefix + "%-" + str(maxFileNameLength) + "s %10.2f %6.2f"
	map(lambda file: textFileVocabulary(file, maxFileNameLength, printFormat), fileInformationList)
	return


def computeAverage(fileInformationList):
	vocabulary = map(lambda fileInformation : fileInformation.average_token, fileInformationList)
	sum = reduce(lambda sum, x: sum + x, vocabulary)
	return float(sum) / float(len(vocabulary))


def gradeAndPrint(fileList, hfcca, problemsOnly=False, prefix=""):
	options, arguments = hfcca.createHfccaCommandLineParser().parse_args(args=["foo"])
	result = hfcca.analyze(fileList, options)

	# Convert from that iterator to a simple list...
	fileInformationList = map(lambda x : x, result)
	if problemsOnly:
		fileInformationList = filter(lambda item: computeVocabularyScore(item.average_CCN) < 100, fileInformationList)

	textSummary(fileInformationList, prefix)

def commandLineMain(args, hfcca):
	targets = []

	if args.stdin:
		for line in sys.stdin:
			t = line.strip()
			if (len(t) > 0):
				targets.append(t)
	else:
		targets = args.files

	if (len(targets) == 0):
		print >> sys.stderr, "Error: target list cannot be empty"

	# If nothing was specified, print the summary as a default
	if args.summary == False and args.function == False and args.average == False:
		args.summary = True

	options, arguments = hfcca.createHfccaCommandLineParser().parse_args(args=["VocabularyReport"])
	result = hfcca.analyze(targets, options)

	# Convert from that iterator to a simple list...
	fileInformationList = map(lambda x : x, result)

	if args.function:
		if args.output == "text":
			textFunction(fileInformationList)
		else:
			csvFunction(fileInformationList)

	if args.summary:
		if args.output == "text":
			textSummary(fileInformationList)
		else:
			csvSummary(fileInformationList)

	if args.average:
		print "%.2f" % computeAverage(fileInformationList)