You’d mean something like this (for inspiration)?
https://gist.github.com/vdboor/80e5ffa148fb30d33d938593855af9ac
This would give the simplicity of using a @cache_results decorator,
while allowing to bypass or refresh the cache when needed.
I’m not sure but likely there are some packages that have a similar function.
Best,
Diederik
> Op 2 jan. 2023, om 15:11 heeft suayip uzulmez <suayip....@gmail.com> het
> volgende geschreven:
>
> I would like to see more opinions on this, I am using this type of utility in
> almost every project I make and it seems to me it would a decent utility
> function.
>
> 26 Ağustos 2022 Cuma tarihinde saat 14:45:13 UTC+3 itibarıyla suayip uzulmez
> şunları yazdı:
> It doesn't necessarily have to be a QuerySet; any function or method that
> takes some processing time could be decorated (e.g., an external call to an
> API). My aim is to reduce this code:
>
> def do_some_processing():
> cache_key = "key"
>
> if cached_value := cache.get(cache_key):
> return cached_value
>
> fresh_value = do_some_computing()
> cache.set(cached_value, fresh_value, 30)
> return fresh_value
>
> to this:
>
> @cached_context("key", timeout=30)
> def do_some_processing():
> return do_some_computing()
>
>
> AFAIK cache.set evaluates QuerySets, how would that be a problem?.
> 26 Ağustos 2022 Cuma tarihinde saat 12:24:39 UTC+3 itibarıyla Adam Johnson
> şunları yazdı:
> I'm not sure I quite understand your proposal. Are you suggesting a decorator
> that caches the results of every queryset that is resolved within the
> decorated function?
>
> If so, I'm not sure how useful it would be. First, if a single query is
> problematic, there’s normally a way to optimize it within the database - for
> example, a materialized view allows you to “cache” query results and
> recompute them in the background. Second, QuerySets are lazy, so it could be
> surprising to decorate a function that returns a QuerySet that is not yet
> resolved.
>
> On Wed, Aug 24, 2022 at 3:49 PM suayip uzulmez <suayi...@gmail.com <>> wrote:
> Usually, I need to construct a simple cache pipeline to optimize database
> access using low-level cache API (django.core.cache).
>
> I think we could use a decorator as such to ease this process:
>
> cached_context(key, *, timeout, cache)
>
> I know higher-level utilities exist such as cache_page, however I think the
> decorator above provides more granularity over what to cache. For example, I
> usually need such decorator in model methods where I do some database
> aggregation operations based on the instance.
>
> What do you think?
>
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