1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
|
#! /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 argparse
import itertools
sys.path.append("@INSTALL_PYTHON_DIR@")
sys.path.append("@DEPENDENCY_PYTHON_DIR@")
import LongBow
try:
import hfcca
except ImportError:
print "HFCCA not found. You need to download hfcca.py and place it in a location"
print "where this script (python) can find it."
print "You can find a compatible version of hfcca at: "
print " https://headerfile-free-cyclomatic-complexity-analyzer.googlecode.com/files/hfcca.py"
print "And place it at: @INSTALL_PYTHON_DIR@"
print
print "... however, you should have run the ccnx-post-install script"
print " (from the ccnx distribution you got this from)"
sys.exit(1)
def computeComplexityScore(complexity):
score = min(100.0 * abs(1.0 - float(complexity - 5) / 50.0), 100.0)
return score
def csvFunctionResult(file, function):
score = computeComplexityScore(function.cyclomatic_complexity)
string = "complexity,%s,%s,%d,%d,%.2f" % (file.filename, function.name, function.start_line, function.cyclomatic_complexity, score)
LongBow.scorePrinter([90, 80], score, string)
return function.cyclomatic_complexity
def csvFileComplexity(file):
score = computeComplexityScore(file.average_CCN)
string = "complexity,%s,,,%.2f,%.2f" % (file.filename, file.average_CCN, 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: csvFileComplexity(file), fileInformationList)
return
def textFunctionResult(file, function, maxFileNameLength, maxFunctionNameLength):
score = computeComplexityScore(function.cyclomatic_complexity)
format = "%-" + str(maxFileNameLength) + "s %-" + str(maxFunctionNameLength) + "s %6d %2d %6.2f"
string = format % (file.filename, function.name, function.start_line, function.cyclomatic_complexity, score)
LongBow.scorePrinter([90, 80], score, string)
return function.cyclomatic_complexity
def textFileComplexity(file, maxFileNameLength):
score = computeComplexityScore(file.average_CCN)
string = ("%-" + str(maxFileNameLength) + "s %6.2f %6.2f") % (file.filename, file.average_CCN, 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):
maxFileNameLength = max(map(lambda fileInformation: len(fileInformation.filename), fileInformationList))
map(lambda file: textFileComplexity(file, maxFileNameLength), fileInformationList)
return
#
# Recompute the file's average complexity as a floating point number.
def recomputeFileComplexity(fileInformation):
complexities = map(lambda function: function.cyclomatic_complexity, fileInformation)
if len(complexities) > 0:
sum = reduce(lambda sum, complex: sum + complex, complexities)
fileInformation.average_CCN = float(sum) / len(fileInformation)
else:
fileInformation.average_CCN = 0
return fileInformation.average_CCN
def recomputeFilesComplexity(fileInformationList):
return map(lambda fileInformation: recomputeFileComplexity(fileInformation), fileInformationList)
def computeAverage(fileInformationList):
cyclomaticComplexity = map(lambda fileInformation : fileInformation.average_CCN, fileInformationList)
sum = reduce(lambda sum, x: sum + x, cyclomaticComplexity)
return float(sum) / float(len(cyclomaticComplexity))
def main(argv):
desc = '''longbow-complexity-report @VERSION@ @DATE@
All Rights Reserved. Use is subject to license terms.
Print the cyclomatic complexity of functions and files.
The option --function displays the file name, function name,
line number of the function, the cyclomatic complexity and a score ranging from 0 to 100.
The default option --summary displays the file name,
the average cyclomatic complexity of all functions in the file and
a score ranging from 0 to 100.
Input is either from a list of files supplied as command line parameters,
or as a list of newline separated file names read from standard input.
Output is a plain text (default) or comma-separated-value (CSV).
Examples:
% longbow-complexity-report *.[ch]
Report conformance of the .c and .h files specified as command line parameters.
% longbow-complexity-report -
Report conformance of the .c and .h files read from standard input, one line per file.
$ longbow-complexity-report parc_JSON.c
parc_JSON.c 2.27 100.00
$
$ echo parc_JSON.c | longbow-complexity-report -o csv -
complexity,parc_JSON.c,,,2.27,100.00
$
'''
parser = argparse.ArgumentParser(prog='longbow-complexity-report', formatter_class=argparse.RawDescriptionHelpFormatter, description=desc)
parser.add_argument('-s', '--summary', default=False, action="store_true", help="print the average complexity of each target file.")
parser.add_argument('-f', '--function', default=False, action="store_true", help="print the complexity of each function in each target file.")
parser.add_argument('-', '--stdin', default=False, action="store_true", required=False, help="read the list of files from standard input rather than the command line.")
parser.add_argument('-a', '--average', default=False, action="store_true", required=False, help="display only the simple average of the average complexity of each target file.")
parser.add_argument('-o', '--output', default="text", action="store", required=False, type=str, help="the output format: \"text\" or \"csv\"")
parser.add_argument("files", help="Files to check", nargs="*")
args = parser.parse_args()
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: No files to analyze. See %s -h" % (sys.argv[0])
sys.exit(1)
# 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=[argv[0]])
result = hfcca.analyze(targets, options)
# Convert from that iterator to a simple list...
fileInformationList = map(lambda x : x, result)
recomputeFilesComplexity(fileInformationList)
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)
if __name__ == "__main__":
'''
@(#) longbow-complexity-report @VERSION@ @DATE@
@(#) All Rights Reserved. Use is subject to license terms.
'''
main(sys.argv)
|
