Search Results

Search found 13 results on 1 pages for 'hobhouse'.

Page 1/1 | 1 

• Why doesn't apache2 consistently load template fragments from memcached?

  - by Hobhouse

  I run a webserver on an ubuntu box in the rackspacecloud with django 1.0x, apache2/WSGI and memcached 1.2.2. Some of my templates make use of template fragment caching: {% load cache %} {% cache 604800 keyname %} <!-- cache: {% now "H:i, j. b" %} --> {{ my_content }} {% endcache %} When I reload apache2 everything is fine. If keyname is not set, my_content is generated and keyname is set in memcached. After that, my_content is served from memcached. My problem is that after some hours (notably less time than 604800 seconds ), apache2 seems to stop talking to memcached, and my_content is generated from scratch everytime. When this happens I can still set and get keys from memcached from my python shell. Memcached also has more than enough memory to store keys. But to get apache2 to start talking to memcached again I have to restart apache2, and then it will once again start to get the now several hours old keys from memcached. What can be the reason for this behaviour, and how do I fix it?

  Read the article

• How can I automatically change terminal colors when I ssh a server?

  - by Hobhouse

  I'm frequently logging into different servers from my os x terminal window. I'd like to assign a color scheme for different hosts so that my terminal windows are easier to tell apart. Can this be done automatically?

  Read the article

• How do I add PHP support to Apache 2 without breaking my current installation?

  - by Hobhouse

  I run Apache 2 with WSGI (for a Django-app) on a Ubuntu box. I want to use Nagios for server monitoring, and for this purpose it seems I have to add PHP support to Apache. When I installed Apache 2, I did this: apt-get install apache2 apache2.2-common apache2-mpm-worker apache2-threaded-dev libapache2-mod-wsgi python-dev Available modules for apache2 are these: /etc/apache2/mods-available$ ls actions.conf authn_default.load cache.load deflate.conf filter.load mime.conf proxy_ftp.load suexec.load actions.load authn_file.load cern_meta.load deflate.load headers.load mime.load proxy_http.load unique_id.load alias.conf authnz_ldap.load cgi.load dir.conf ident.load mime_magic.conf rewrite.load userdir.conf alias.load authz_dbm.load cgid.conf dir.load imagemap.load mime_magic.load setenvif.conf userdir.load asis.load authz_default.load cgid.load disk_cache.conf include.load negotiation.conf setenvif.load usertrack.load auth_basic.load authz_groupfile.load charset_lite.load disk_cache.load info.conf negotiation.load speling.load version.load auth_digest.load authz_host.load dav.load dump_io.load info.load proxy.conf ssl.conf vhost_alias.load authn_alias.load authz_owner.load dav_fs.conf env.load ldap.load proxy.load ssl.load wsgi.conf authn_anon.load authz_user.load dav_fs.load expires.load log_forensic.load proxy_ajp.load status.conf wsgi.load authn_dbd.load autoindex.conf dav_lock.load ext_filter.load mem_cache.conf proxy_balancer.load status.load authn_dbm.load autoindex.load dbd.load file_cache.load mem_cache.load proxy_connect.load substitute.load What is the best way for me to add PHP support to Apache 2 without breaking my current installation and configuration?

  Read the article

• Calculating spam probability in python

  - by Hobhouse

  I am building a website in python/django and want to predict wether a user submission is valid or wether it is spam. Users have an accept rate on their submissions, like this website has. Users can moderate other users' submissions; and these moderations are later metamoderated by an admin. Given this: user A with an submission accept rate of 60% submits something. user B moderates A's post as a valid submission. However, his moderations are often wrong, and his moderations' accept rate is a mere 30%. user C moderates A's post as spam. User C is usually right. His moderations' accept rate is 80%. How can I predict the chance of A's post being spam?

  Read the article

• Altering constraint delete action

  - by Hobhouse

  I did this: ALTER TABLE `db`.`my_table` ADD CONSTRAINT FOREIGN KEY (`my_second_table_id`) REFERENCES `my_second_table` (`id`); I should have done this: ALTER TABLE `db`.`my_table` ADD CONSTRAINT FOREIGN KEY (`my_second_table_id`) REFERENCES `my_second_table` (`id`) ON DELETE SET NULL; Is it possible to ALTER this, or do I have to drop the constraint and add again?

  Read the article

• How do I list all classes of a given type in a python file?

  - by Hobhouse

  I use django, and have a lengthy models.py file. class Foo(models.Model): name = models.CharField() class Bar(models.Model): name = models.CharField() class Fab(models.Model): name = models.CharField() Is there a way to make a list of all the classes in the file which are an instance of (models.Model)?

  Read the article

• What is the best way to implement a 'last seen' function in a django web app?

  - by Hobhouse

  I have a running django/apache2 + memcached app (ubuntu) and would like to keep track of logged in users that are online. What would be the best way to track this? I would prefer not writing to the database each time a logged in user loads a page; but what other options are there?

  Read the article

• Calculating spam probability

  - by Hobhouse

  I am building a website in python/django and want to predict wether a user submission is valid or wether it is spam. Users have an accept rate on their submissions, like this website has. Users can moderate other users' submissions; and these moderations are later metamoderated by an admin. Given this: user A with an submission accept rate of 60% submits something. user B moderates A's post as a valid submission. However, his moderations are often wrong, and his moderations' accept rate is a mere 30%. user C moderates A's post as spam. User C is usually right. His moderations' accept rate is 80%. How can I predict the chance of A's post being spam?

  Read the article

• How do I match and return a zero with a regular expression in javascript?

  - by Hobhouse

  I am trying to extract a number from a string. The number might be zero. Numbers appear like this: '+123', '-8' or '0'. alert( '+123'.match(/[-?|+?]\d+/) ); alerts +123 alert( '-8'.match(/[-?|+?]\d+/) ); alerts -8 alert( '0'.match(/[-?|+?]\d+/) ); alerts null // why oh why? How do I get '0'.match(/[-?|+?]\d+/) to return 0 instead of null?

  Read the article

• How do I make a jQuery dialog button with a hyperlink?

  - by Hobhouse

  In jQuery//dialog you can make a button like this: dialog({ buttons: { "Ok": function() { $(this).dialog("close"); } } }); Can I make this button with a hyperlink to somewhere instead?

  Read the article

• Can this django query be improved?

  - by Hobhouse

  Given a model structure like this: class Book(models.Model): user = models.ForeignKey(User) class Readingdate(models.Model): book = models.ForeignKey(Book) date = models.DateField() One book may have several readingdates. How do I list books having at least one readingdate within a specific year? I can do this: from_date = datetime.date(2010,1,1) to_date = datetime.date(2010,12,31) book_ids = Readingdate.objects\ .filter(date__range=(from_date,to_date))\ .values_list('book_id', flat=True) books_read_2010 = Book.objects.filter(id__in=book_ids) Is it possible to do this with one queryset, or is this the best way?

  Read the article

• Why are my two date fields not identical when I copy them?

  - by Hobhouse

  I use django, and have two models with a models.DateTimeField(). Sometimes I need a copy of a date - but look at this: >>>myobject.date = datetime.datetime.now() >>>print myobject.date >>>2010-04-27 12:10:43.526277 >>>other_object.date_copy = myobject.date >>>print other_object.date_copy >>>2010-04-27 12:10:43 Why are these two dates not identical, and how do I make an excact copy of myobject.date?

  Read the article

• What is a more efficient way in Python to return list elements which are not in a second list?

  - by Hobhouse

  Is there a faster way to do this in python? [f for f in list_1 if not f in list_2] list_1 and list_2 both consist of about 120.000 strings. It takes about 4 minutes to generate the new list.

  Read the article

1