在windows下总是有很多源代码统计工具, 比如SourceCounter(源代码统计精灵)等工具
之前我总是使用如下命令统计源代码的信息, 繁琐而可读性差
find . -type f -name "*.[hc]" | xargs cat | wc -l
或者
find . -name "*.[hc]" | xargs -L 1 wc -l | awk '{print $1}' | while read num; do total=$((total+num)); echo $total; done
1、sloccount源代码行数统计工具
sloccount=Count Source Lines Of Code
官网 : http://www.dwheeler.com/sloccount/
1.1、Ubuntu安装
sudo apt-get install sloccount
1.2、使用
sloccount [--version] [--cached] [--append] [ --datadir directory ]
[--follow] [--duplicates] [--crossdups] [--autogen] [--multiproject]
[--filecount] [--wide] [--details] [ --effort F E ] [ --schedule F E ] [
--personcost cost ] [ --overhead overhead ] [ --addlang language ] [
--addlangall ] [--] directories
--cached
跳过计算过程，直接使用上次结果
参数——描述
–multiproject——如果该文件夹包括一系列的子文件夹，而它们中的每一个都是相对独立开发的不同的项目，那么使用”–multiproject”选项，评估将会正确的考虑到这一点
–filecount——显示文件数目而非代码行数
–details——显示每个源文件的详细信息
–duplicates——算上所有重复的(默认情况下如果文件有相同的内容，则只算一个)
–crossdups——如果顶目录包含几个不同的项目，并且你想把不同的项目下重复的文件在每个项目中都算上一次，则使用该选项
1.3、转换成html文件
有一个sloc2html.py可以把生成的结果转换为带图形统计结果的html文件. 缺点是对中文支持不好
例如：
sloccount --wide --multiproject SourceDirectory > result.txt
sloc2html.py result.txt > result.html
再打开result.html即可看到结果形如：
下载地址 http://www.dwheeler.com/sloccount/sloc2html.py.txt
输出样例 http://www.dwheeler.com/sloccount/sloc2html-example.html
wget http://www.dwheeler.com/sloccount/sloc2html.py.txt -O sloc2html.py
sloc2html.py文件源代码如下：
#!/usr/bin/env python
# Written by Rasmus Toftdahl Olesen <rto@pohldata.dk>
# Modified slightly by David A. Wheeler
# Released under the GNU General Public License v. 2 or higher
from string import *
import sys
NAME = "sloc2html"
VERSION = "0.0.2"
if len(sys.argv) != 2:
print "Usage:"
print "\t" + sys.argv[0] + " <sloc output file>"
print "\nThe output of sloccount should be with --wide and --multiproject formatting"
sys.exit()
colors = { "python" : "blue",
"ansic" : "yellow",
"perl" : "purple",
"cpp" : "green",
"sh" : "red",
"yacc" : "brown",
"lex" : "silver"
# Feel free to make more specific colors.
"ruby" : "maroon",
"cs" : "gray",
"java" : "navy",
"ada" : "olive",
"lisp" : "fuchsia",
"objc" : "purple",
"fortran" : "purple",
"cobol" : "purple",
"pascal" : "purple",
"asm" : "purple",
"csh" : "purple",
"tcl" : "purple",
"exp" : "purple",
"awk" : "purple",
"sed" : "purple",
"makefile" : "purple",
"sql" : "purple",
"php" : "purple",
"modula3" : "purple",
"ml" : "purple",
"haskell" : "purple"
}
print "<html>"
print "<head>"
print "<title>Counted Source Lines of Code (SLOC)</title>"
print "</head>"
print "<body>"
print "<h1>Counted Source Lines of Code</h1>"
file = open ( sys.argv[1], "r" )
print "<h2>Projects</h2>"
line = ""
while line != "SLOC\tDirectory\tSLOC-by-Language (Sorted)\n":
line = file.readline()
print "<table>"
print "<tr><th>Lines</th><th>Project</th><th>Language distribution</th></tr>"
line = file.readline()
while line != "\n":
num, project, langs = split ( line )
print "<tr><td>" + num + "</td><td>" + project + "</td><td>"
print "<table width=\"500\"><tr>"
for lang in split ( langs, "," ):
l, n = split ( lang, "=" )
print "<td bgcolor=\"" + colors[l] + "\" width=\"" + str( float(n) / float(num) * 500 ) + "\">" + l + "=" + n + " (" + str(int(float(n) / float(num) * 100)) + "%)</td>"
print "</tr></table>"
print "</td></tr>"
line = file.readline()
print "</table>"
print "<h2>Languages</h2>"
while line != "Totals grouped by language (dominant language first):\n":
line = file.readline()
print "<table>"
print "<tr><th>Language</th><th>Lines</th></tr>"
line = file.readline()
while line != "\n":
lang, lines, per = split ( line )
lang = lang[:-1]
print "<tr><td bgcolor=\"" + colors[lang] + "\">" + lang + "</td><td>" + lines + " " + per + "</td></tr>"
line = file.readline()
print "</table>"
print "<h2>Totals</h2>"
while line == "\n":
line = file.readline()
print "<table>"
print "<tr><td>Total Physical Lines of Code (SLOC):</td><td>" + strip(split(line,"=")[1]) + "</td></tr>"
line = file.readline()
print "<tr><td>Estimated development effort:</td><td>" + strip(split(line,"=")[1]) + " person-years (person-months)</td></tr>"
line = file.readline()
line = file.readline()
print "<tr><td>Schedule estimate:</td><td>" + strip(split(line,"=")[1]) + " years (months)</td></tr>"
line = file.readline()
line = file.readline()
print "<tr><td>Total estimated cost to develop:</td><td>" + strip(split(line,"=")[1]) + "</td></tr>"
print "</table>"
file.close()
print "Please credit this data as \"generated using 'SLOCCount' by David A. Wheeler.\"\n"
print "</body>"
print "</html>"
2、cloc代码行数统计工具
cloc也可以用来统计源代码的行数, 其本质是一个perl的脚本
安装
sudo apt-get install cloc
使用
进入到需要统计的目录执行
cloc .
其本质是一个perl的脚本, 可以用
file `which cloc`
可以使用
cat `which cloc`
查看其源代码的信息
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