本文整理汇总了Python中omero.gateway.BlitzGateway.getAdminService方法的典型用法代码示例。如果您正苦于以下问题：Python BlitzGateway.getAdminService方法的具体用法？Python BlitzGateway.getAdminService怎么用？Python BlitzGateway.getAdminService使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类omero.gateway.BlitzGateway的用法示例。
在下文中一共展示了BlitzGateway.getAdminService方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: runAsScript
# 需要导入模块: from omero.gateway import BlitzGateway [as 别名]
# 或者: from omero.gateway.BlitzGateway import getAdminService [as 别名]
def runAsScript():
dataTypes = [rstring('Image')]
models_path=os.path.join(SCRIPT_PATH, "sample/classifiers/")
systems=['carver']
segmentationModel = []
for file in os.listdir(models_path):
if file.endswith(".model"):
segmentationModel.append(str(os.path.join(models_path,file)))
client = scripts.client('weka_tfmq.py', """Segment a dataset using Random Forest and a known classifier""",
scripts.String("Data_Type", optional=False, grouping="1",
description="Pick Images by 'Image' ID or by the ID of their 'Dataset'", values=dataTypes, default="Image"),
scripts.List("IDs", optional=False, grouping="1.1",
description="List of Dataset IDs or Image IDs to process.").ofType(rlong(0)),
scripts.String("Segmentation_model", optional=False, grouping="2",
description="Select model", values=segmentationModel, default=segmentationModel[0]),
scripts.String("System", optional=False, grouping="3",
description="Select the system", values=systems, default=systems[0]),
scripts.String("Wall_time", grouping="3.1",
description="Wall time", default='0:30:00'),
scripts.String("Private_memory", grouping="3.2",
description="Private memory", default='4GB'),
scripts.Bool("Big_memory_nodes", grouping="3.2.1",
description="Big memory nodes", default='False'),
scripts.String("Nodes", grouping="3.3",
description="Nodes", default='1'),
scripts.String("PPN", grouping="3.4",
description="PPN", default='5'),
version = "0",
authors = ["Joaquin Correa", "Data and Analytics services"],
institutions = ["National Energy Research Scientific Computing Center (NERSC)"],
contact = "[email protected]",
)
try:
session = client.getSession();
scriptParams = {}
for key in client.getInputKeys():
if client.getInput(key):
scriptParams[key] = client.getInput(key, unwrap=True)
conn = BlitzGateway(client_obj=client)
admin = conn.getAdminService()
uuid = admin.getEventContext().sessionUuid
weka_segmentation(conn, scriptParams, uuid)
finally:
client.closeSession()示例2: runAsScript
# 需要导入模块: from omero.gateway import BlitzGateway [as 别名]
# 或者: from omero.gateway.BlitzGateway import getAdminService [as 别名]
def runAsScript():
dataTypes = [rstring('Image')]
models_path="/project/projectdirs/ngbi/jobs/ij_macros/classifiers"
systems=['carver', 'sgnworker']
# modelPath = []
segmentationModel = []
for file in os.listdir(models_path):
if file.endswith(".model"):
segmentationModel.append(str(os.path.join(models_path,file)))
# segmentationModel.append(file)
# Include files metadata information; link to a web application
# segmentationModel = ['Desulfovibrio RCH1', 'Geobacter', 'Myxococcus Xanthus1', 'Myxococcus Xanthus2']
client = scripts.client('weka_serial.py', """Segment a dataset using Random Forest and a known classifier""",
scripts.String("Data_Type", optional=False, grouping="1",
description="Pick Images by 'Image' ID or by the ID of their 'Dataset'", values=dataTypes, default="Image"),
scripts.List("IDs", optional=False, grouping="1.1",
description="List of Dataset IDs or Image IDs to process.").ofType(rlong(0)),
scripts.String("Segmentation_model", optional=False, grouping="2",
description="Select model", values=segmentationModel, default=segmentationModel[0]),
scripts.String("System", optional=False, grouping="3",
description="Select the system", values=systems, default=systems[0]),
scripts.String("Wall_time", grouping="3.1",
description="Wall time", default='0:30:00'),
scripts.String("Private_memory", grouping="3.2",
description="Private memory", default='4GB'),
scripts.Bool("Big_memory_nodes", grouping="3.2.1",
description="Big memory nodes", default='False'),
scripts.String("Nodes", grouping="3.3",
description="Nodes", default='1'),
scripts.String("PPN", grouping="3.4",
description="PPN", default='5'),
version = "0",
authors = ["Joaquin Correa", "OSP Team"],
institutions = ["NERSC"],
contact = "[email protected]",
)
try:
session = client.getSession();
# print("session key: %s" % (session)
# process the list of args above.
scriptParams = {}
for key in client.getInputKeys():
if client.getInput(key):
scriptParams[key] = client.getInput(key, unwrap=True)
print scriptParams
print("key: %s" % (key))
# print("session key: %s" % (session))
# wrap client to use the Blitz Gateway
conn = BlitzGateway(client_obj=client)
admin = conn.getAdminService()
uuid = admin.getEventContext().sessionUuid
# uuid = uuid.split(":")[1]
print(uuid)
# print("key: %s" % (key))
# sizeZ, sizeC, sizeT, sizeX, sizeY, dataset = newFilteredImage(conn, scriptParams)
# newFilteredImage(conn, scriptParams)
# sloopy("/global/project/projectdirs/ngbi/omero-0.7/OMERO.server/lib/scripts/omero/tmp/WT_7B_duct2.mrc")
weka_segmentation(conn, scriptParams, uuid)
# print sizeZ, sizeC, sizeT, sizeX, sizeY, dataset
# Return message, new image and new dataset (if applicable) to the client
# client.setOutput("Message", rstring(message))
# if len(images) == 1:
# client.setOutput("Image", robject(images[0]._obj))
# if dataset is not None:
# client.setOutput("New Dataset", robject(dataset._obj))
#.........这里部分代码省略.........