Andrea,
Thanks for pointing me to that library. Seems like most of the pieces are
there.
On another topic are you or anyone from Geoserver presenting at FOSS4g in
Bonn? I know there have been a couple of tutorials and I'd definitely send
a colleague of mine to attend the workshop if one was going to be held.
On Thu, Mar 17, 2016 at 11:05 AM, Andrea Aime <andrea.a...@geo-solutions.it>
wrote:
> Hi David,
> you might want to look at what gsconfig does (or just use it):
>
> https://github.com/boundlessgeo/gsconfig
>
> Cheers
> Andrea
>
>
> On Thu, Mar 17, 2016 at 4:53 PM, David Haynes II <dahay...@umn.edu> wrote:
>
>> Hello,
>>
>> I am running into an issue with adding a style to an existing layer via
>> API in Python.
>> The existing layer has 1 style and I want to add a send.
>>
>> {"styles":{"style":[{"name":"tp_raster_ramp","href":"https:\/\/myserver.com\/geoserver\/rest\/layers\/bambarahar\/styles\/tp_raster_ramp.json"}]}}
>>
>> {"styles":{"style":[{"name":"tp_raster_ramp","href":"https:\/\/myserver.com\/geoserver\/rest\/layers\/applehar\/styles\/tp_raster_ramp.json"},{"name":"tp_raster_generic","href":"https:\/\/geoserver.terrapop.org\/geoserver\/rest\/layers\/applehar\/styles\/tp_raster_generic.json"}]}}
>>
>> My question is what I put in the payload. Currently, I have been
>> constructing both styles via json object but I keep getting an class errors.
>>
>> http://docs.geoserver.org/stable/en/user/rest/api/layers.html
>>
>>
>> --
>> David Haynes, Ph.D.
>> Research Associate Terra Populus
>> Minnesota Population Center
>> 612-626-3933
>> www.terrapop.org
>>
>>
>> ------------------------------------------------------------------------------
>> Transform Data into Opportunity.
>> Accelerate data analysis in your applications with
>> Intel Data Analytics Acceleration Library.
>> Click to learn more.
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>>
>
>
> --
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>
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--
David Haynes, Ph.D.
Research Associate Terra Populus
Minnesota Population Center
612-626-3933
www.terrapop.org
------------------------------------------------------------------------------
Transform Data into Opportunity.
Accelerate data analysis in your applications with
Intel Data Analytics Acceleration Library.
Click to learn more.
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