Well, it's a bit of a blunt weapon, but Python is going to run any code it
finds at module scope as the process is initialised. So you could cause
your heavy stuff to be run there? Or at least spawned from there?

On Thu, 22 Oct 2020, 22:59 Okware Aldo, <aldookwar...@gmail.com> wrote:

> Hi Lois,
>
> To expand on what Scott is saying.
> - model DB tables to store the data you need to render the graphs
> - build a service to preprocess the data - this service can run
> periodically depending on how up to date you need the graphs to be (a
> microservice)
> - build a single endpoint to simple fetch the data the graphs need
> (Django) if this is a monolith the normal Django views should do the trick
>
>
>
>
>
>
> On Fri, Oct 23, 2020 at 12:01 AM Lois Greene-Hernandez <loi...@gmail.com>
> wrote:
>
>> Well it's data that I need to populate the pages.  It's very processor
>> intensive and I'll need to pass it back to the views once it's processed.
>> Can I pass data back to the views once I've run a task?  I'm looking into
>> caching alternatives.
>>
>> Thanks
>> Lois
>>
>> On Thu, Oct 22, 2020 at 4:55 PM Scott Sawyer <ssaw...@gmail.com> wrote:
>>
>>> Could you run a cron job on the system to analyze the data periodically?
>>>
>>> Sent from my iPhone
>>>
>>> On Oct 22, 2020, at 1:30 PM, Lois Greene-Hernandez <loi...@gmail.com>
>>> wrote:
>>>
>>> Hello,
>>>
>>> I'm working on a data and calculation intensive django application.  It
>>> uses pandas and plotly.py to create many charts and graphs.  I have some
>>> control over the design of the application but not total control.  One
>>> decision that I stuck with is that all charts and graphs are preprocessed
>>> on the first page that loads.  If it were up to me, I'd process what is
>>> needed at the time but its not up to me.
>>>
>>> Since I need to load and process a lot of data prior to page load, I was
>>> wondering if it would be possible to do this during server start up.  I'd
>>> also need to pass a log of data from whatever startup process I ran to the
>>> django views.
>>>
>>> Any information that you could shed on this problem would be greatly
>>> appreciated.
>>>
>>> Thanks
>>>
>>> Lois J. Greene-Hernandez
>>>
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