Also, I would like to know, if I understand this task correctly. Here is
how I see the implementation.
It will consist of the following pars:
- Test suite
- write templates for all types of template constructions:
- variables
- filters
- inherited templates
- method calls
- etc
- all combinations of them.
- write contexts for each of these templates
- Profiling
- run profiler (cProfile?) on all of these tests. As I see, basic
algorithm (pseudo code) will look like this:
for context, template in zip(contexts, templates):
t = Template(template)
c = Context(context)
start profiler
t.render(c)
stop profiler
store profiling results
- when I have all results, I'll have to analyse them and try to optimize
rendering.
Is it correct?
Thanks,
Oleksii
среда, 11 марта 2015 г., 17:52:55 UTC+1 пользователь Oleksii Oleksenko
написал:
>
> Hi,
>
> My name is Oleksii Oleksenko, I'm a master student in Distributed System
> Engineering at TU Dresden (Germany) and I want to participate in GSoC by
> contributing into your project. I decided to apply to Django because Python
> is my main and favorite programming language and I work mostly in the field
> of Web.
>
> Among all ideas, 'Template engine optimization' is most interesting for
> me. I have some questions regarding this task.
>
> 1. Do I have to consider only django.template or any other modules may
> influence template rendering too?
>
> 2. What should I use for profiling? Is any profiling library is common for
> django (like cProfile)? Or I can use anything I want?
>
> 3. Considering benchmark, is there any special cases (e.g. some parts of
> template language) that are known to be especially slow? Or is it my task
> to find them?
>
> Thanks,
> Oleksii
>
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