运维时需要分析ng的log日志, 然后根据关键字读取相关行数据出来分析, 避免打开整个文件太大导致缓慢.

代码如下

'''

读取keyWordName关键字的出现次数

'''

# 计数

count =0

# 每次读取文件内容大小

sizeInt =1000000

matchList = []

# 查询关键字

def findWordCount(f, sizeInt, keyWordName):

global count

count =0;

while True:

line = f.readline(sizeInt)

if not line:

break

pass

        lineStr =str(line)

if lineStr.find(keyWordName) > -1:

matchList.append(lineStr)

count +=1

            # print(lineStr)

    return count

# 打印

def printKeywordCount(f, sizeInt, keyWordName):

count = findWordCount(f, sizeInt, keyWordName)

print(count)

print(keyWordName +"出现次数: " +str(count))

# 查询文件里关键字出现次数

def findTheKeyWordCount(fileName, keyWordName):

with open(fileName, "r", encoding="utf-8", errors='ignore')as f:

printKeywordCount(f, sizeInt, keyWordName)

def saveMatchList(saveFileName, matchList):

contents =""

    for iin range(0, len(matchList)):

contents += matchList[i] +"\n"

    save2File(saveFileName, contents)

# 保存文件

def save2File(fileName, content):

f =open(fileName, "w")

num = f.write(content)

print(num)

# 关闭打开的文件

    f.close()

# 执行工作

def doMyJob(fileName, keyWordName, saveFileName):

# 查询关键字

    findTheKeyWordCount(fileName, keyWordName)

# 打印

# print(matchList)

# 保存文件

    saveMatchList(saveFileName, matchList)

if __name__ =='__main__':

# 文件所在目录

    fileName ="D:/code/workspace/python/test1/test/files/error.log"

    # 需要查询的关键字

    keyWordName ="[error]"

    # 解析后的内容保存文件

    saveFileName ="D:/code/workspace/python/test1/test/files/error_logs_20180704.txt"

    doMyJob(fileName, keyWordName, saveFileName)