因為寫關于資料庫性能周報要查找和計算AWR報表上的一些關鍵名額的值，每次手工收集資料都花很長時間，寫了一個python工具來擷取自己想要的值，并做了計算！（現在看來還不太完善，以後會更貼近寫周報的需求）
import sys
import urllib
import HTMLParser
import string
sum_Logical=0
sum_Physical_reads=0
sum_Physical_writes=0
sum_Executes=0
sum_Transactions=0
##因為從awr擷取的數值為unicode類型的，必須把值轉換為數字！
def utof(s1):
s2=s1.strip()
s3=s2.encode('utf-8')
s4=s3.split(',')
length=len(s4)
if length 1 :
t1= string.atof(s4[0])
return t1
elif length == 2:
t1=string.atof(s4[1])+string.atof(s4[0])*1000
elif length == 3: t1=string.atof(s4[2])+string.atoi(s4[1])*1000+string.atoi(s4[0])*1000000
else:
return 0
##類是解析html并且從html上擷取想要的資料
urltext = []
class CustomParser(HTMLParser.HTMLParser):
selected=('table', 'h1', 'font', 'ul', 'li', 'tr', 'td', 'a')
def reset(self):
HTMLParser.HTMLParser.reset(self)
self._level_stack = []
def handle_starttag(self, tag, attrs):
if tag in CustomParser.selected:
self._level_stack.append(tag)
def handle_endtag(self, tag):
if self._level_stack \
and tag in CustomParser.selected \
and tag == self._level_stack[-1]:
self._level_stack.pop()
##擷取html上出去标簽之後的文本資料
def handle_data(self, data):
if "/".join(self._level_stack) in ('table/tr/td','table/tr/td/h1/font','table/tr/td/ul/li') and data !='\n':
urltext.append(data)
##對傳入的url 進行解析并擷取資料
def gethtml(url):
content = unicode(urllib.urlopen(url,params).read(), 'GB2312')
parser = CustomParser()
parser.feed(content)
parser.close()
Logical=[]
Physical_reads=[]
Physical_writes=[]
Executes=[]
Transactions=[]
###計算想要的資料
def calucate(urltext):
print '-----------------------------------------'
global sum_Logical
global sum_Physical_reads
global sum_Physical_writes
global sum_Executes
global sum_Transactions
k=0
for item in urltext:
k=k+1
if k50 :
continue
elif item =='Logical reads:' :
sum_Logical +=utof(urltext[k])
print 'Logical reads: ' ,urltext[k].strip()
elif item == 'Physical reads:' :
sum_Physical_reads +=utof(urltext[k])
print 'Physical reads: ',urltext[k].strip()
elif item == 'Physical writes:' :
sum_Physical_writes +=utof(urltext[k])
print 'Physical writes: ' ,urltext[k].strip()
elif item =='Executes:':
sum_Executes += utof(urltext[k])
print 'Executes: ' ,urltext[k].strip()
elif item == 'Transactions:' :
sum_Transactions += utof(urltext[k])
print 'Transactions: ',urltext[k].strip()
elif k>86:
break
if len(sys.argv) > 1:
params = urllib.urlencode({'ip': sys.argv[1], 'action': 2})
else:
params = None
um_Logical=0
url=['http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111211_10_16119_16120.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111211_17_16126_16127.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111210_17_16102_16103.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111210_10_16095_16096.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111209_17_16078_16079.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111208_17_16054_16055.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111209_10_16071_16072.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111208_10_16047_16048.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111207_17_16030_16031.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111207_10_16023_16024.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111206_17_16006_16007.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111206_10_15999_16000.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111205_17_15982_15983.html',
'http://127.0.0.1/cacti/spreport/rac3.yangql.com/sp_yangdb_20111205_10_15975_15976.html'
]
for val in url:
print ' '
gethtml(val)
calucate(urltext)
urltext = []
length=len(url)
print '-----------------------------------------'
print 'avg_Logical: ',sum_Logical/length
print 'avg_Physical_reads:',sum_Physical_reads/length
print 'avg_Physical_writes',sum_Physical_writes/length
print 'avg_Executes ',sum_Executes/length
print 'avg_Transactions ',sum_Transactions/length
效果截圖：
