Programming Forums > Script Programming > Python

Cerulean · Jun 8th, 2006, 7:06 PM

As for things slowing to a crawl - why not call time.sleep during the intensive loops periodically to free up resources to other processes so your computer doesn't become unusable?

zem52887 · Jun 9th, 2006, 11:33 AM

I'm unfamiliar with that bit of code Cerulean, could you elaborate a bit as to what it does?

Also, is there a way to have the program check the cache and skip any company links already found there thus adding only new data to an HTML as opposed to building a new data.html from scratch beginning with the data I already have?

Arevos · Jun 9th, 2006, 4:14 PM

Quote:

Originally Posted by zem52887

I'm unfamiliar with that bit of code Cerulean, could you elaborate a bit as to what it does?

You already use it (or at least, it was in your code at one point - it seems to have vanished from your finished version). You can use sleep like this:

(Toggle Plain Text)

import time
time.sleep(10)    # sleep for 10 seconds

Or like this:

(Toggle Plain Text)

from time import sleep
sleep(10)         # sleep for 10 seconds

Note the difference between "import" and "from ... import ...".

The same holds true for any module:

(Toggle Plain Text)

import some_module
some_module.some_function()

from some_module import some_function
some_function()

Quote:

Originally Posted by zem52887

Also, is there a way to have the program check the cache and skip any company links already found there thus adding only new data to an HTML as opposed to building a new data.html from scratch beginning with the data I already have?

Maybe something like:

(Toggle Plain Text)

        for company_url in get_company_urls(company_index):
                if cache.has_key(company_url):
                        file.write(get_company_data(company_url))
                        print get_company_data(company_url)

                        # And remember to pause so the server isn't overloaded:
                        sleep(1)

zem52887 · Jun 13th, 2006, 8:20 AM

So I ran the program again, and got an error on the American College of Beirut, again. I was curious how I would add in the debugging code to the following :

(Toggle Plain Text)

file = open("data.html", "w")

file.write("<table>\n")    # \n means add a newline

for industry_url in get_industry_urls(industry_page):
        company_index = get_company_index(industry_url)
          
        for company_urls in get_company_urls(company_index):
                if cache.has_key(company_urls):
                    file.write(get_company_data(company_urls))
                    print get_company_data(company_urls)
                                      
                    
file.write("</table>\n")
file.close()

and rather than sys.exit, can I just have it skip over any errors?

zem52887 · Jun 13th, 2006, 10:12 AM

update:
I made a little work-around that involves a bit of manual work, but at the same time, I don't have to wait for the program to do all the URLS that it's already done. I edited the code and have been running the program once for each industry... it's a little bit of work but it gets the job done. (and the data files aren't 800mb

)

Arevos · Jun 13th, 2006, 12:42 PM

Quote:

Originally Posted by zem52887

So I ran the program again, and got an error on the American College of Beirut, again. I was curious how I would add in the debugging code to the following :

Just put in some print statements, e.g.:

(Toggle Plain Text)

print company_urls

Quote:

Originally Posted by zem52887

and rather than sys.exit, can I just have it skip over any errors?

Yes. You can tell Python to handle an error (or an exception, to be more accurate) with a try/except block:

(Toggle Plain Text)

from urllib2 import urlopen, HTTPError

...

try:
    file.write(get_company_data(company_urls))
except HTTPError:
    print "HTTP error occurred for '%s'" % company_urls
    print """Without this block, Python would just quit.
Instead, we've overridden the default behaviour, and we print
this message instead of quitting. You could even put in some
code to let Python try the URL again, to see if it works if we
do it a second time."""

Also, I don't see the sleep function anywhere in your loop. Where is it? That could be the cause of your errors; trying to get too much information from the website too fast.

Jun 13th, 2006, 8:20 AM	#244
zem52887 Hobbyist Programmer Join Date: May 2006 Posts: 127 Rep Power: 3	So I ran the program again, and got an error on the American College of Beirut, again. I was curious how I would add in the debugging code to the following : (Toggle Plain Text) file = open("data.html", "w") file.write("<table>\n") # \n means add a newline for industry_url in get_industry_urls(industry_page): company_index = get_company_index(industry_url) for company_urls in get_company_urls(company_index): if cache.has_key(company_urls): file.write(get_company_data(company_urls)) print get_company_data(company_urls) file.write("</table>\n") file.close() file = open("data.html", "w") file.write("<table>\n") # \n means add a newline for industry_url in get_industry_urls(industry_page): company_index = get_company_index(industry_url) for company_urls in get_company_urls(company_index): if cache.has_key(company_urls): file.write(get_company_data(company_urls)) print get_company_data(company_urls) file.write("</table>\n") file.close() and rather than sys.exit, can I just have it skip over any errors?

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Jun 8th, 2006, 7:06 PM	#241
Cerulean Professional Programmer Join Date: Apr 2005 Location: London, England Posts: 459 Rep Power: 4	As for things slowing to a crawl - why not call time.sleep during the intensive loops periodically to free up resources to other processes so your computer doesn't become unusable?

Jun 9th, 2006, 11:33 AM	#242
zem52887 Hobbyist Programmer Join Date: May 2006 Posts: 127 Rep Power: 3	I'm unfamiliar with that bit of code Cerulean, could you elaborate a bit as to what it does? Also, is there a way to have the program check the cache and skip any company links already found there thus adding only new data to an HTML as opposed to building a new data.html from scratch beginning with the data I already have?

Jun 13th, 2006, 10:12 AM	#245
zem52887 Hobbyist Programmer Join Date: May 2006 Posts: 127 Rep Power: 3	update: I made a little work-around that involves a bit of manual work, but at the same time, I don't have to wait for the program to do all the URLS that it's already done. I edited the code and have been running the program once for each industry... it's a little bit of work but it gets the job done. (and the data files aren't 800mb )

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