This example Python script publishes a folder of images as an image service.
The script first creates a mosaic dataset from the images. Then a service definition (SD) draft file is made and analyzed. The SD draft is created using the function arcpy.CreateImageSDDraft().
If no errors are found after analyzing the SD draft, the script moves ahead with publishing the service.
# Publishes an image service to a machine "myserver" from a folder of ortho images
# this code first author a mosaic dataset from the images, then publish it as an image service.
# A connection to ArcGIS Server must be established in the Catalog window of ArcMap
# before running this script
import arcpy, os, time, sys
import arceditor #this is required to create a mosaic dataset from images
# Define local variables:
ImageSource=r"\\myserver\data\SourceData\Portland" # the folder of input images
MyWorkspace=r"\\myserver\Data\DemoData\ArcPyPublishing" # the folder for mosaic dataset and the service defintion draft file
GdbName="fgdb1.gdb"
GDBpath = os.path.join(MyWorkspace,GdbName) #File geodatabase used to store a mosaic dataset
Name = "OrthoImages"
Md = os.path.join(GDBpath, Name)
Sddraft = os.path.join(MyWorkspace,Name+".sddraft")
Sd = os.path.join(MyWorkspace,Name+".sd")
con = os.path.join(MyWorkspace, "arcgis on myserver_6080 (admin).ags")
SrsLookup = {
'Mercator': "PROJCS['World_Mercator',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137,298.257223563]],PRIMEM['Greenwich',0],UNIT['Degree',0.017453292519943295]],PROJECTION['Mercator'],PARAMETER['False_Easting',0],PARAMETER['False_Northing',0],PARAMETER['Central_Meridian',0],PARAMETER['Standard_Parallel_1',0],UNIT['Meter',1]]",
'WGS84': "GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137,298.257223563]],PRIMEM['Greenwich',0],UNIT['Degree',0.017453292519943295]]",
'GZ4': "PROJCS['Germany_Zone_4',GEOGCS['GCS_Deutsches_Hauptdreiecksnetz',DATUM['D_Deutsches_Hauptdreiecksnetz',SPHEROID['Bessel_1841',6377397.155,299.1528128]],PRIMEM['Greenwich',0],UNIT['Degree',0.017453292519943295]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',4500000],PARAMETER['False_Northing',0],PARAMETER['Central_Meridian',12],PARAMETER['Scale_Factor',1],PARAMETER['Latitude_Of_Origin',0],UNIT['Meter',1]]",
'GCS_NAD83': "GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137,298.257222101]],PRIMEM['Greenwich',0],UNIT['Degree',0.017453292519943295]]",
'PUG': "PROJCS['PUG1',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',1640416.666666667],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-87.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Foot_US',0.3048006096012192]]",
'Florida_East': "PROJCS['NAD_1983_StatePlane_Florida_East_FIPS_0901_Feet',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137,298.257222101]],PRIMEM['Greenwich',0],UNIT['Degree',0.0174532925199432955]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',656166.6666666665],PARAMETER['False_Northing',0],PARAMETER['Central_Meridian',-81],PARAMETER['Scale_Factor',0.9999411764705882],PARAMETER['Latitude_Of_Origin',24.33333333333333],UNIT['Foot_US',0.304800609601219241]]",
'SoCalNad83': "PROJCS['NAD_1983_StatePlane_California_V_FIPS_0405',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137,298.257222101]],PRIMEM['Greenwich',0],UNIT['Degree',0.0174532925199432955]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',2000000],PARAMETER['False_Northing',500000],PARAMETER['Central_Meridian',-118],PARAMETER['Standard_Parallel_1',34.03333333333333],PARAMETER['Standard_Parallel_2',35.46666666666667],PARAMETER['Latitude_Of_Origin',33.5],UNIT['Meter',1]]"
}
# First author a mosaic dataset from a folder of images
try:
print "Creating fgdb"
arcpy.CreateFileGDB_management(MyWorkspace, GdbName)
print "Creating mosaic dataset"
arcpy.CreateMosaicDataset_management(GDBpath, Name, SrsLookup['Mercator'], "", "", "NONE", "")
print "Adding images to mosaic dataset" # also caculate cell size range, build boundary, and build overviews
arcpy.AddRastersToMosaicDataset_management(Md, "Raster Dataset", ImageSource, "UPDATE_CELL_SIZES", "UPDATE_BOUNDARY", "UPDATE_OVERVIEWS", "#", "0", "1500", "#", "#", "SUBFOLDERS", "ALLOW_DUPLICATES", "NO_PYRAMIDS", "NO_STATISTICS", "NO_THUMBNAILS", "", "NO_FORCE_SPATIAL_REFERENCE")
except:
print arcpy.GetMessages()+ "\n\n"
sys.exit("Failed in authoring a mosaic dataset")
# Create service definition draft
try:
print "Creating SD draft"
arcpy.CreateImageSDDraft(Md, Sddraft, Name, 'ARCGIS_SERVER', con, False, None, "Ortho Images","ortho images,image service")
except:
print arcpy.GetMessages()+ "\n\n"
sys.exit("Failed in creating SD draft")
# Analyze the service definition draft
analysis = arcpy.mapping.AnalyzeForSD(Sddraft)
print "The following information was returned during analysis of the image service:"
for key in ('messages', 'warnings', 'errors'):
print '----' + key.upper() + '---'
vars = analysis[key]
for ((message, code), layerlist) in vars.iteritems():
print ' ', message, ' (CODE %i)' % code
print ' applies to:',
for layer in layerlist:
print layer.name,
print
# Stage and upload the service if the sddraft analysis did not contain errors
if analysis['errors'] == {}:
try:
print "Adding data path to data store to avoid data copy"
arcpy.AddDataStoreItem(con, "FOLDER","Images",MyWorkspace,MyWorkspace)
print "Staging service to create service definition"
arcpy.StageService_server(Sddraft, Sd)
print "Uploading the service definition and publishing image service"
arcpy.UploadServiceDefinition_server(Sd, con)
print "Service successfully published"
except:
print arcpy.GetMessages()+ "\n\n"
sys.exit("Failed to stage and upload service")
else:
print "Service could not be published because errors were found during analysis."
print arcpy.GetMessages()