Using geoprocessing tasks in Python scripts

Using geoprocessing tasks in Python scripts
Release 9.3

• Add the service as a toolbox.
• Since many tasks use feature and record sets, you will query the task to get the feature or record set schema.
• Load features or records.
• Start execution of the tool.
• Query the result of the tool and wait for execution to finish.
• Query the result to fetch outputs.

import arcgisscripting
gp = arcgisscripting.create(9.3)

# Add a geoprocessing service as a toolbox
#
gp.AddToolbox("http://flame7/arcgis/services;BufferService")

# One of the tasks is BufferPoints and its first parameter is a feature
#  set. Get the feature set from the task.
#
inFeatSet= gp.GetParameterValue("BufferPoints", 0)

# Load an existing feature class into the feature set
#
inFeatSet.Load("c:/temp/base.gdb/towers")

# Start execution of the task
#
result = gp.BufferPoints(inFeatSet, "500 feet")

# Query the result object to detect when the service has finished execution
#
while result.Status < 4:
    time.sleep(0.2)

# The output of this task is a feature set of the buffered points. Get the output
#   by index and save to a geodatabase feature class.
#
outFeatSet = result.GetOutput(0)
outFeatSet.Save("c:/temp/base.gdb/towers_buffer")