CreateImageSDDraft (arcpy)
Récapitulatif
The CreateImageSDDraft function is the first step to automating the publishing of a mosaic dataset or raster dataset as an Image Service using ArcPy. The output created from the CreateImageSDDraft is a Service Definition Draft (.sddraft) file, which is a combination of a mosaic dataset in the geodatabase or a raster dataset, information about the server, and a set of service properties. This service definition draft can be staged as service definition then uploaded to a specified ArcGIS server as an image service.
Information about the server includes the server connection or server type being published to, the type of service being published, metadata for the service (Item info), and data references (whether or not data is being copied to the server).
A draft service definition does not contain data. A draft service alone cannot be used to publish a service.
Syntaxe
Paramètre | Explication | Type de données |
raster_or_mosaic_layer |
The raster layer or mosaic layer that you want to publish. | String |
out_sddraft |
A string that represents the path and file name for the output Service Definition Draft (.sddraft) file. | String |
service_name |
A string that represents the name of the service. This is the name people will see and use to identify the service. The name can only contain alphanumeric characters and underscores. No spaces or special characters are allowed. The name cannot be more than 120 characters in length. | String |
server_type |
A string representing the server type. If a connection_file_path parameter is not supplied, then a server_type must be provided. If a connection_file_path parameter is supplied, then the server_type is taken from the connection file. In this case, you can choose FROM_CONNECTION_FILE or skip the parameter entirely.
(La valeur par défaut est ARCGIS_SERVER) | String |
connection_file_path |
A string that represents the path and file name to the ArcGIS for Server connection file (.ags). (La valeur par défaut est None) | String |
copy_data_to_server |
A Boolean that indicates whether the source data referenced by the mosaic dataset, the mosaic dataset itself, or the raster dataset published as an image service will be copied to the server or not. The copy_data_to_server parameter is only used if the server_type is ARCGIS_SERVER and the connection_file_path isn't specified. If the connection_file_path is specified, then the server's registered data stores are used. For example, if the workspace that contains the source data referenced by the mosaic dataset—the mosaic dataset itself or raster dataset registered with the server—then copy_data_to_server will always be False. Conversely, if the workspace that contains the source data referenced by the mosaic dataset—the mosaic dataset or raster dataset is not registered with the server—then copy_data_to_server will always be True.
(La valeur par défaut est False) | Boolean |
folder_name |
A string that represents a folder name to which you want to publish the service definition. If the folder does not currently exist, it will be created. The default folder is the server root level. (La valeur par défaut est None) | String |
summary |
A string that represents the Item Description Summary. Use this parameter to override the user interface summary or to provide a summary if one does not exist. (La valeur par défaut est None) | String |
tags |
A string that represents the Item Description Tags. Use this parameter to override the user interface tags or to provide tags if they do not exist. (La valeur par défaut est None) | String |
Exemple de code
Create an image service definition draft file.
import arcpy
ws = "C:/workspace"
mdpath = os.path.join(ws, "fgdb.gdb/mdDEM")
con = os.path.join(ws, "myserver_6080 (publisher).ags")
service = 'dem_service'
sddraft = os.path.join(ws, service + '.sddraft')
arcpy.CreateImageSDDraft(mdpath, sddraft, service, 'ARCGIS_SERVER',
con, True, None, "Publish las MD",
"las,image service")
Publish an image service from a mosaic dataset.
# It is recommended that you set the default mosaic dataset properly before
# publishing. A connection to ArcGIS Server must be established in the
# Catalog window of ArcMap before running this script
import arcpy
import os
import sys
# Define local variables:
# The folder for service definition draft and service definition files
MyWorkspace = r"\\myserver\ArcPyPublishing"
Name = "OrthoImageService"
InputData = r"\\myserver\ArcPyPublishing\fgdb.gdb\ortho_images"
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")
# Create service definition draft
try:
print("Creating SD draft")
arcpy.CreateImageSDDraft(InputData, Sddraft, Name, 'ARCGIS_SERVER', con,
False, None, "Ortho Images",
"ortho images,image service")
except Exception as err:
print(err[0] + "\n\n")
sys.exit("Failed to create SD draft")
# Analyze the service definition draft
analysis = arcpy.mapping.AnalyzeForSD(Sddraft)
print("The following was returned during analysis of the image service:")
for key in analysis.keys():
print("---{}---".format(key.upper()))
for ((message, code), layerlist) in analysis[key].iteritems():
print(" {} (CODE {})".format(message, code))
print(" applies to: {}".format(
" ".join([layer.name for layer in layerlist])))
# 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 copying data to server")
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 arcpy.ExecuteError:
print(arcpy.GetMessages() + "\n\n")
sys.exit("Failed to stage and upload service")
except Exception as err:
print(err[0] + "\n\n")
sys.exit("Failed to stage and upload service")
else:
print("Service was not published because of errors found during analysis.")
print(analysis['errors'])