概述

通常自动化测试项目到了一定的程序，编写的测试代码自然就会很多，如果很早已经编写的测试脚本现在某些基础函数、业务函数需要修改，那么势必要找出那些引用过这个被修改函数的地方，有些IDE支持全文查找和引用查找，而有些简单的可能就没有，因为日后要用到统计功能、和一些其它的需求，所以写了一个脚本。除了跟目录下全文查找引用过的文件外，还是支持统计查找到的数量，一次可以查找多个关键字，支持按主关键字来归类。

#encoding: utf-8 
import os 
import sys 
import re 
 
reload(sys) 
sys.setdefaultencoding("utf-8") 
 
short_exclude = [".svn","sendBox"]  ##不检查的文件、目录名 
long_exclude = []  ##不包含检查的文件、目录的完整路径 
extend_name = [".rb"] ##指定检查的文件后缀 
temp_key_words = [  
  { 
    "key" : "#作者：","display" : "作者","times" : -1,"match" : "include","primary_key" : True,},{ 
    "key" : "#[summary]","display" : "完成用例数",{ 
    "key" : "File.expand_path","display" : "有状态行数","ignore_case" : True,{ 
    "key" : "def\s+test_","display" : "有效用例数","match" : "regex",{ 
    "key" : "#def\s+test_","display" : "注释用例数",] 
 
for kv in temp_key_words: 
  if not "key" in kv: 
    raise "以下的列表中没有【key】值！\n%s" % kv 
  if not "key" in kv: 
    raise "以下的列表中没有【display】值！\n%s" % kv   
  kv['times'] = kv.get('times',-1)  ##默认为不限制检查次数    
  if kv.get("ignore_case",True)==False: ##默认忽略大小写 
    flag = 0 
  else: 
    flag = re.I     
  kv['pattern'] = re.compile(kv['key'],flag) 
  if kv.get("primary_key",False): 
    kv['times'] = 1 
import copy 
key_words = []     
 
def deepcopy(objs): 
  t_list = [] 
  for obj in objs: 
    t_list.append(copy.copy(obj)) 
  return t_list 
 
def loop_case(root_dir): 
  t_sum = [] 
  print root_dir 
  sub_gen = os.listdir(root_dir) 
  for sub in sub_gen: 
    if sub in short_exclude: ##在不检查文件、目录范围中 
      continue 
    abs_path = os.path.join(root_dir,sub) 
    if long_exclude: 
      is_exclude = False 
      for exclude in long_exclude: 
        if exclude == abs_path[-len(exclude):]: 
          is_exclude = True 
          break 
      if is_exclude: 
        continue 
    print abs_path 
    if os.path.isdir(abs_path): 
      print "dir" 
      t_sum.extend(loop_case(abs_path)) 
    elif os.path.isfile(abs_path):       
      if not "." + abs_path.rsplit(".",1)[1] in extend_name: ##不在后缀名 检查范围中 
        continue 
      print "file" 
      global key_words  
      key_words = deepcopy(temp_key_words)      
      t_sum.append(count_case(abs_path))  
  return t_sum     
   
def count_case(abs_path):   
  t_dict = {} 
  with open(abs_path) as f: 
    for l in f: 
      l = l.strip() 
      match_rule(l)  
  index = 0 
  count_result = [0] * len(key_words)    
  for kv in key_words:  
    if 'primary_key' in kv: 
      t_dict['primary_key'] = kv.get('display') 
      t_dict['primary_key_value'] = kv.get('primary_key_value',"None") 
    count_result[index] = -1-kv['times']  
    index += 1  
  t_dict['match_result'] = count_result 
  t_dict['file_path'] = abs_path  
  return t_dict 
 
def match_rule(line): 
  primary_key = None  
  for kv in key_words: 
    match = False          
    if kv['times']==0: ##检查次数已满，不再检查 
      continue 
    if kv.get('match',"") == "regex": ##指定了匹配方式为:正则 
      if kv['pattern'].match(line):  ##匹配正则成功 
        match = True 
    else:  ##默认匹配方式为： 包含 
      if kv['key'] in line:  ##包含了指定字符串 
        match = True 
    if match: 
      if kv.get('primary_key',False): 
        kv['primary_key_value'] = line.split(kv['key'])[1].strip()   
#        kv['primary_key'] = False       
      kv['times'] -= 1      ##匹配成功，同理剩余匹配的次数 -1 
  return primary_key     
   
def format_info(sum_list): 
  tip_list = []   
  p_k_dict = {} 
  for d in sum_list: 
    p_k = d['primary_key_value'] 
    if p_k not in p_k_dict: 
      p_k_dict[p_k] = [0] * len(key_words)  
    temp_list = [] 
    m = d['match_result'] 
    temp_list.append("文件名称：%s\n%s:%s\n" % (d['file_path'],d['primary_key'],d['primary_key_value'])) 
    for i in range(len(m)): 
      if 'primary_key' in key_words[i]:         
        continue  
      else: 
        t_s = str(m[i]) 
      temp_list.append("%s:%s\n" % (key_words[i]["display"],t_s)) 
      p_k_dict[p_k][i] += m[i] 
    tip_list.append("".join(temp_list)) 
    p_k_dict[p_k][0] += 1 
  tip_list.append("===========================主键统计分割线===============================") 
  total_dict = {} 
  for kv in key_words: 
    if 'primary_key' not in kv: 
      total_dict[kv['display']] = 0 
  total_dict['全部文件数'] = 0 
  for k,v in p_k_dict.items(): 
    temp_list = [] 
    temp_list.append("主键：%s\n文件总数：%s\n" % (k,v[0])) 
    for i in range(1,len(v)): 
      temp_list.append("%s:%s\n" % (key_words[i]["display"],str(v[i])))  
      total_dict[key_words[i]["display"]] += v[i]     
    tip_list.append("".join(temp_list)) 
    total_dict['全部文件数'] += v[0] 
  tip_list.append("===========================全部统计分割线===============================") 
  temp_list = [] 
  for k,v in total_dict.items(): 
    temp_list.append("全部%s:%s\n" % (k,v)) 
  tip_list.append("".join(temp_list)) 
  tip_msg = "\n".join(tip_list) 
  print tip_msg 
  open(r"sum_case.log","w").write(tip_msg) 
   
if __name__=="__main__": 
  if len(sys.argv) > 1: 
    root_list = sys.argv[1:] 
  else: 
    root_list = [os.curdir] 
  sum_list = [] 
  for root_dir in root_list:   
    if os.path.exists(root_dir) and os.path.isdir(root_dir): 
      sum_list.extend(loop_case(root_dir)) 
      format_info(sum_list) 
    else: 
      print "给定的根目录无效\n%s" % root_dir 

可以通过配置开头的设置来确定检查什么关键字，文件类型，过滤哪些文件和目录等

总结

以上是编程之家为你收集整理的编写Python小程序来统计测试脚本的关键字全部内容，希望文章能够帮你解决编写Python小程序来统计测试脚本的关键字所遇到的程序开发问题。

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