This set of handlers allow one to isolate requests based on the method posted. Normally, in a view, we would do checks for request.method value and update the resource accordingly. This makes the view code pretty messy.
So one way to avoid these check each time is to have a handler method (resource_handler above), that checks for the method parameter and dispatches to the handler withe the prefix <method>_handler_<suffix>.
This also has the advantage of grouping related actions in a particular class. At the same time a new instance of the request handler is not created on each request (as with the google appengine handler?). Yet another advantage is by making the handler methods as class methods, the handler classes can be inherited to add further functionality to a resource "group.
The disadvantage however is the inability to restrict access to a handler method to only particular methods. Eg above the "r'obja/(?P<id>[^\/]+)/delete/" would map to the delete_handler_objects if themethod was "delete" and post_handler_objects if the method was "post". However this can be worked with a different suffix passed to the handler_params method. Infact setting the suffix to "objects_delete" would result in a "delete_handler_objects_delete" handler on delete method and a Http404 on all others.
Another inconvinience is the inability to detect a view handler by simply inspecting the url patterns. However, this information is carried within the handler_suffix and handler_class parameters which may infact provide greater insight into the semantics around the view handlers.
Needless to say, this easily extends rest based accesses.
Would greatly appreciate feedback and improvements.
- django
- views
- class
- methods
A number of people have kindly posted snippets on how to use pdb/ipdb with django. However, this only works when running the django development server.
I thought it would be nice to have a trace() command that would turn into a no-op when the development server is not running, so you wouldn't have to worry about leaving trace() commands in your code if you want to quickly test with mod_wsgi or mod_python.
The code above attempts (on Posix-like systems) to determine if the development server is running (by quickly checking if "manage.py runserver" is in the process list), and sets a DJANGO_SERVER setting appropriately. Then when you import the trace() method, it is defined as set_trace() if DJANGO_SERVER is True, or a no-op if DJANGO_SERVER is False.
When you hit the trace() in pdb/ipdb, enter "u" to go up to the calling trace() statement.
The code shown allows you, in GeoDjango, to reduce the number of points in your polygons. It helps reduce storage needs and makes queries run faster, at the cost of some precision. It provides a variation on the simplify() method that comes with the GEOS API, allowing you to specify a number of points instead of a distance tolerance.
It is set up as a management command so that you can run it with python manage.py. See the django docs for how to set that up.
The example shown assumes a table called CountyBorders with fields "name" and "mpoly." It should be straightforward to adapt it for your needs. Look at the first three lines of the simplify() method in particular for customization. The rest of the code is pretty generic, and it should run fast enough in a one-time batch process for most needs.
The algorithm tries to keep the 75 points that provide the most definition for the shape. Each point in a polygon defines a triangle with its immediate neighbors. If that triangle has no area (the degenerate case), it is a midpoint on the segment between its neighbors and adds no value whatsoever. This principle is extended to say that the larger the triangle, the more value the point has in defining the shape. (You can find more refined algorithms, but this code seems to work fine by visual inspection.)