Re: [Geoserver-users] Python geoscript input types
Hi Justin,
first of all thanks for finding the time to respond.
I am getting the following Could not convert -100 to target type [D
that is strange.
Where should I open the bug? On the geoserver-devel list or to geoscript?
Best regards,
V.
03 Jul 11:44:44 ERROR [org.geotools.rendering] - Failed to evaluate the process
function, error is: Traceback (most recent call last):
File __pyclasspath__/geoserver/wps.py, line 19, in wrapped
File /usr/local/geoserver/data/scripts/wps/bc1.py, line 37, in run
return contour.run(data=barnesed, levels=levels1)['result']
File __pyclasspath__/geoscript/process.py, line 86, in run
at
org.geotools.process.factory.AnnotationDrivenProcessFactory$InvokeMethodProcess.buildProcessArguments(AnnotationDrivenProcessFactory.java:641)
at
org.geotools.process.factory.AnnotationDrivenProcessFactory$InvokeMethodProcess.execute(AnnotationDrivenProcessFactory.java:515)
at sun.reflect.GeneratedMethodAccessor319.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:491)
org.geotools.process.ProcessException: org.geotools.process.ProcessException:
Could not convert -100 to target type [D
On 2 Ιουλ 2014, at 11:47 μ.μ., Justin Deoliveira jdeol...@boundlessgeo.com
wrote:
Hi Vassilis,
I haven't tried this but one thing you could try is using the actual
jython/python array type. So basically:
from array import array
...
'levels1': (ArrayListDouble(), 'Values of levels at which to generate
contours')
Like I said, not sure if that will work. If it doesn't feel free to open a
bug report up for this one.
-Justin
On Wed, Jun 25, 2014 at 1:33 AM, Vassilis Dalakas vdala...@gmail.com
wrote:
Dear list,
I need your help with a more advanced wps python script with Geoscript.
Thank you all in advance for your valuable time and comments.
I have successfully installed the 2.5.1 Geoserver with the geoscript and
wps extensions and implemented some simple examples as the one described
here:
http://suite.opengeo.org/opengeo-docs/processing/scripting/processcreate.html
I have also successfully implemented my own wps that combines
gs:BarnesSurface and gs:Contour
For your help gs:Contour is defined here:
http://www.massapi.com/source/geoserver-2.1.1-src/geoserver-2.1.1/extension/wps/wps-core/src/main/java/org/geoserver/wps/gs/ContourProcess.java.html
As you can see it requires as input either levels that is type double[]
either interval that is type Double
The following code is working fine having interval in place of levels
and Double instead of ArrayListDouble() but I can't find how I should
define levels1 in order to make it work with Double[].
I have made some efforts as the following code that is throwing an error
org.geotools.process.ProcessException: Could not convert -100 to target
type [D
Do you have any ideas how to define levels1 in order to make it work?
Kind Regars,
Vassilis Dalakas
from java.lang import String, Integer, Double
from geoscript.layer import Layer, Raster
from geoserver.wps import process
from geoscript.process import Process
from geoscript.geom import *
from org.geotools.data.simple import SimpleFeatureCollection
from org.geotools.geometry.jts import ReferencedEnvelope
from org.geotools.coverage.grid import GridCoverage2D
from java.util import ArrayList as ArrayList
barnes = Process.lookup('gs:BarnesSurface')
contour = Process.lookup('gs:Contour')
@process(
title = 'Barnes and Contour',
description = 'Uses Barnes Analysis to compute an interpolated surface
over a set of irregular data points and computes contour lines at specified
intervals or levels for the values in a raster.',
inputs = {
'data1': (SimpleFeatureCollection, 'Input features'),
'valueAttr1': (String, 'Name of attribute containing the data value to
be interpolated'),
'scale1': (Double, 'Length scale for the interpolation, in units of the
source data CRS'),
'maxObservationDistance1': (Double, 'Maximum distance to an observation
for it to support a grid cell, in units of the source CRS (default = 0,
meaning all observations used)'),
'pixelsPerCell1': (Integer, 'Resolution of the computed grid in pixels
per grid cell (default = 1)'),
'queryBuffer1': (Double, 'Distance to expand the query envelope by, in
units of the source CRS (larger values provide a more stable surface)'),
'outputBBOX1': (ReferencedEnvelope, 'Bounding box for output'),
'outputWidth1': (Integer, 'Width of the output raster in pixels'),
'outputHeight1': (Integer, 'Height of the output raster in pixels'),
'levels1': (ArrayListDouble(), 'Values of levels at which to generate
contours')
},
outputs = {
'result': (SimpleFeatureCollection, 'Contour line features. Contour
level is in value attribute.')
}
)
def run(data1
[Geoserver-users] Python geoscript input types
Dear list,
I need your help with a more advanced wps python script with Geoscript. Thank
you all in advance for your valuable time and comments.
I have successfully installed the 2.5.1 Geoserver with the geoscript and wps
extensions and implemented some simple examples as the one described here:
http://suite.opengeo.org/opengeo-docs/processing/scripting/processcreate.html
I have also successfully implemented my own wps that combines gs:BarnesSurface
and gs:Contour
For your help gs:Contour is defined here:
http://www.massapi.com/source/geoserver-2.1.1-src/geoserver-2.1.1/extension/wps/wps-core/src/main/java/org/geoserver/wps/gs/ContourProcess.java.html
As you can see it requires as input either levels that is type double[] either
interval that is type Double
The following code is working fine having interval in place of levels and
Double instead of ArrayListDouble() but I can't find how I should define
levels1 in order to make it work with Double[].
I have made some efforts as the following code that is throwing an error
org.geotools.process.ProcessException: Could not convert -100 to target type [D
Do you have any ideas how to define levels1 in order to make it work?
Kind Regars,
Vassilis Dalakas
from java.lang import String, Integer, Double
from geoscript.layer import Layer, Raster
from geoserver.wps import process
from geoscript.process import Process
from geoscript.geom import *
from org.geotools.data.simple import SimpleFeatureCollection
from org.geotools.geometry.jts import ReferencedEnvelope
from org.geotools.coverage.grid import GridCoverage2D
from java.util import ArrayList as ArrayList
barnes = Process.lookup('gs:BarnesSurface')
contour = Process.lookup('gs:Contour')
@process(
title = 'Barnes and Contour',
description = 'Uses Barnes Analysis to compute an interpolated surface over a
set of irregular data points and computes contour lines at specified intervals
or levels for the values in a raster.',
inputs = {
'data1': (SimpleFeatureCollection, 'Input features'),
'valueAttr1': (String, 'Name of attribute containing the data value to be
interpolated'),
'scale1': (Double, 'Length scale for the interpolation, in units of the
source data CRS'),
'maxObservationDistance1': (Double, 'Maximum distance to an observation for
it to support a grid cell, in units of the source CRS (default = 0, meaning all
observations used)'),
'pixelsPerCell1': (Integer, 'Resolution of the computed grid in pixels per
grid cell (default = 1)'),
'queryBuffer1': (Double, 'Distance to expand the query envelope by, in units
of the source CRS (larger values provide a more stable surface)'),
'outputBBOX1': (ReferencedEnvelope, 'Bounding box for output'),
'outputWidth1': (Integer, 'Width of the output raster in pixels'),
'outputHeight1': (Integer, 'Height of the output raster in pixels'),
'levels1': (ArrayListDouble(), 'Values of levels at which to generate
contours')
},
outputs = {
'result': (SimpleFeatureCollection, 'Contour line features. Contour level is
in value attribute.')
}
)
def run(data1, valueAttr1, scale1, maxObservationDistance1, pixelsPerCell1,
queryBuffer1, outputBBOX1, outputWidth1, outputHeight1, levels1):
barnesed = barnes.run(data=data1, valueAttr=valueAttr1, scale=scale1,
maxObservationDistance=maxObservationDistance1, pixelsPerCell=pixelsPerCell1,
queryBuffer=queryBuffer1, outputBBOX=outputBBOX1, outputWidth=outputWidth1,
outputHeight=outputHeight1)['result']
return contour.run(data=barnesed, levels=levels1)['result']
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