I am running a script that downloads xls file with html tags in it and strips them to create a clean csv file.
Code:
#!/usr/bin/env python
from bs4 import BeautifulSoup
from urllib2 import urlopen
import csv
import sys
#from pympler.asizeof import asizeof
from pympler import muppy
from pympler import summary
f = urlopen('http://localhost/Classes/sample.xls') #This is 75KB
#f = urlopen('http://supplier.com/xmlfeed/products.xls') #This is 75MB
soup = BeautifulSoup(f)
stable = soup.find('table')
print 'table found'
rows = []
for row in stable.find_all('tr'):
rows.append([val.text.encode('utf8') for val in row.find_all('th')])
rows.append([val.text.encode('utf8') for val in row.find_all('td')])
#print sys.getsizeof(rows)
#print asizeof(rows)
print 'row list created'
soup.decompose()
print 'soup decomposed'
f.close()
print 'file closed'
with open('output_file.csv', 'wb') as file:
writer = csv.writer(file)
print 'writer started'
#writer.writerow(headers)
writer.writerows(row for row in rows if row)
all_objects = muppy.get_objects()
sum1 = summary.summarize(all_objects)
summary.print_(sum1)
The above code works perfectly for 75KB file, however the process gets killed without any error for 75MB file.
I am very new to beautiful soup and python, please help me identifying the problem. The script is running on 3GB RAM.
Output for small file is:
table found
row list created
soup decomposed
file closed
writer started
types | # objects | total size
===================================== | =========== | ============
dict | 5615 | 4.56 MB
str | 8457 | 713.23 KB
list | 3525 | 375.51 KB
<class 'bs4.element.NavigableString | 1810 | 335.76 KB
code | 1874 | 234.25 KB
<class 'bs4.element.Tag | 3097 | 193.56 KB
unicode | 3102 | 182.65 KB
type | 137 | 120.95 KB
wrapper_descriptor | 1060 | 82.81 KB
builtin_function_or_method | 718 | 50.48 KB
method_descriptor | 580 | 40.78 KB
weakref | 416 | 35.75 KB
set | 137 | 35.04 KB
tuple | 431 | 31.56 KB
<class 'abc.ABCMeta | 20 | 17.66 KB
I dont understand what is "dict", it is taking much more memory for 75KB file.
Thank you,