# Copyright (C) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE in project root for information.
import sys
if sys.version >= '3':
basestring = str
from pyspark import SparkContext, SQLContext
from pyspark.sql import DataFrame
from pyspark.ml.param.shared import *
from pyspark import keyword_only
from pyspark.ml.util import JavaMLReadable, JavaMLWritable
from synapse.ml.core.platform import running_on_synapse_internal
from synapse.ml.core.serialize.java_params_patch import *
from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
from pyspark.ml.evaluation import JavaEvaluator
from pyspark.ml.common import inherit_doc
from synapse.ml.core.schema.Utils import *
from pyspark.ml.param import TypeConverters
from synapse.ml.core.schema.TypeConversionUtils import generateTypeConverter, complexTypeConverter
[docs]@inherit_doc
class GenerateThumbnails(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer):
"""
Args:
AADToken (object): AAD Token used for authentication
concurrency (int): max number of concurrent calls
concurrentTimeout (float): max number seconds to wait on futures if concurrency >= 1
errorCol (str): column to hold http errors
handler (object): Which strategy to use when handling requests
height (object): the desired height of the image
imageBytes (object): bytestream of the image to use
imageUrl (object): the url of the image to use
outputCol (str): The name of the output column
smartCropping (object): whether to intelligently crop the image
subscriptionKey (object): the API key to use
timeout (float): number of seconds to wait before closing the connection
url (str): Url of the service
width (object): the desired width of the image
"""
AADToken = Param(Params._dummy(), "AADToken", "ServiceParam: AAD Token used for authentication")
concurrency = Param(Params._dummy(), "concurrency", "max number of concurrent calls", typeConverter=TypeConverters.toInt)
concurrentTimeout = Param(Params._dummy(), "concurrentTimeout", "max number seconds to wait on futures if concurrency >= 1", typeConverter=TypeConverters.toFloat)
errorCol = Param(Params._dummy(), "errorCol", "column to hold http errors", typeConverter=TypeConverters.toString)
handler = Param(Params._dummy(), "handler", "Which strategy to use when handling requests")
height = Param(Params._dummy(), "height", "ServiceParam: the desired height of the image")
imageBytes = Param(Params._dummy(), "imageBytes", "ServiceParam: bytestream of the image to use")
imageUrl = Param(Params._dummy(), "imageUrl", "ServiceParam: the url of the image to use")
outputCol = Param(Params._dummy(), "outputCol", "The name of the output column", typeConverter=TypeConverters.toString)
smartCropping = Param(Params._dummy(), "smartCropping", "ServiceParam: whether to intelligently crop the image")
subscriptionKey = Param(Params._dummy(), "subscriptionKey", "ServiceParam: the API key to use")
timeout = Param(Params._dummy(), "timeout", "number of seconds to wait before closing the connection", typeConverter=TypeConverters.toFloat)
url = Param(Params._dummy(), "url", "Url of the service", typeConverter=TypeConverters.toString)
width = Param(Params._dummy(), "width", "ServiceParam: the desired width of the image")
@keyword_only
def __init__(
self,
java_obj=None,
AADToken=None,
AADTokenCol=None,
concurrency=1,
concurrentTimeout=None,
errorCol="GenerateThumbnails_9d3b65285998_error",
handler=None,
height=None,
heightCol=None,
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
outputCol="GenerateThumbnails_9d3b65285998_output",
smartCropping=None,
smartCroppingCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=None,
width=None,
widthCol=None
):
super(GenerateThumbnails, self).__init__()
if java_obj is None:
self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.cognitive.vision.GenerateThumbnails", self.uid)
else:
self._java_obj = java_obj
self._setDefault(concurrency=1)
self._setDefault(errorCol="GenerateThumbnails_9d3b65285998_error")
self._setDefault(outputCol="GenerateThumbnails_9d3b65285998_output")
self._setDefault(timeout=60.0)
if hasattr(self, "_input_kwargs"):
kwargs = self._input_kwargs
else:
kwargs = self.__init__._input_kwargs
if java_obj is None:
for k,v in kwargs.items():
if v is not None:
getattr(self, "set" + k[0].upper() + k[1:])(v)
[docs] @keyword_only
def setParams(
self,
AADToken=None,
AADTokenCol=None,
concurrency=1,
concurrentTimeout=None,
errorCol="GenerateThumbnails_9d3b65285998_error",
handler=None,
height=None,
heightCol=None,
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
outputCol="GenerateThumbnails_9d3b65285998_output",
smartCropping=None,
smartCroppingCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=None,
width=None,
widthCol=None
):
"""
Set the (keyword only) parameters
"""
if hasattr(self, "_input_kwargs"):
kwargs = self._input_kwargs
else:
kwargs = self.__init__._input_kwargs
return self._set(**kwargs)
[docs] @classmethod
def read(cls):
""" Returns an MLReader instance for this class. """
return JavaMMLReader(cls)
[docs] @staticmethod
def getJavaPackage():
""" Returns package name String. """
return "com.microsoft.azure.synapse.ml.cognitive.vision.GenerateThumbnails"
@staticmethod
def _from_java(java_stage):
module_name=GenerateThumbnails.__module__
module_name=module_name.rsplit(".", 1)[0] + ".GenerateThumbnails"
return from_java(java_stage, module_name)
[docs] def setAADToken(self, value):
"""
Args:
AADToken: AAD Token used for authentication
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setAADToken(value)
return self
[docs] def setAADTokenCol(self, value):
"""
Args:
AADToken: AAD Token used for authentication
"""
self._java_obj = self._java_obj.setAADTokenCol(value)
return self
[docs] def setConcurrency(self, value):
"""
Args:
concurrency: max number of concurrent calls
"""
self._set(concurrency=value)
return self
[docs] def setConcurrentTimeout(self, value):
"""
Args:
concurrentTimeout: max number seconds to wait on futures if concurrency >= 1
"""
self._set(concurrentTimeout=value)
return self
[docs] def setErrorCol(self, value):
"""
Args:
errorCol: column to hold http errors
"""
self._set(errorCol=value)
return self
[docs] def setHandler(self, value):
"""
Args:
handler: Which strategy to use when handling requests
"""
self._set(handler=value)
return self
[docs] def setHeight(self, value):
"""
Args:
height: the desired height of the image
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setHeight(value)
return self
[docs] def setHeightCol(self, value):
"""
Args:
height: the desired height of the image
"""
self._java_obj = self._java_obj.setHeightCol(value)
return self
[docs] def setImageBytes(self, value):
"""
Args:
imageBytes: bytestream of the image to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setImageBytes(value)
return self
[docs] def setImageBytesCol(self, value):
"""
Args:
imageBytes: bytestream of the image to use
"""
self._java_obj = self._java_obj.setImageBytesCol(value)
return self
[docs] def setImageUrl(self, value):
"""
Args:
imageUrl: the url of the image to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setImageUrl(value)
return self
[docs] def setImageUrlCol(self, value):
"""
Args:
imageUrl: the url of the image to use
"""
self._java_obj = self._java_obj.setImageUrlCol(value)
return self
[docs] def setOutputCol(self, value):
"""
Args:
outputCol: The name of the output column
"""
self._set(outputCol=value)
return self
[docs] def setSmartCropping(self, value):
"""
Args:
smartCropping: whether to intelligently crop the image
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setSmartCropping(value)
return self
[docs] def setSmartCroppingCol(self, value):
"""
Args:
smartCropping: whether to intelligently crop the image
"""
self._java_obj = self._java_obj.setSmartCroppingCol(value)
return self
[docs] def setSubscriptionKey(self, value):
"""
Args:
subscriptionKey: the API key to use
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setSubscriptionKey(value)
return self
[docs] def setSubscriptionKeyCol(self, value):
"""
Args:
subscriptionKey: the API key to use
"""
self._java_obj = self._java_obj.setSubscriptionKeyCol(value)
return self
[docs] def setTimeout(self, value):
"""
Args:
timeout: number of seconds to wait before closing the connection
"""
self._set(timeout=value)
return self
[docs] def setUrl(self, value):
"""
Args:
url: Url of the service
"""
self._set(url=value)
return self
[docs] def setWidth(self, value):
"""
Args:
width: the desired width of the image
"""
if isinstance(value, list):
value = SparkContext._active_spark_context._jvm.com.microsoft.azure.synapse.ml.param.ServiceParam.toSeq(value)
self._java_obj = self._java_obj.setWidth(value)
return self
[docs] def setWidthCol(self, value):
"""
Args:
width: the desired width of the image
"""
self._java_obj = self._java_obj.setWidthCol(value)
return self
[docs] def getAADToken(self):
"""
Returns:
AADToken: AAD Token used for authentication
"""
return self._java_obj.getAADToken()
[docs] def getConcurrency(self):
"""
Returns:
concurrency: max number of concurrent calls
"""
return self.getOrDefault(self.concurrency)
[docs] def getConcurrentTimeout(self):
"""
Returns:
concurrentTimeout: max number seconds to wait on futures if concurrency >= 1
"""
return self.getOrDefault(self.concurrentTimeout)
[docs] def getErrorCol(self):
"""
Returns:
errorCol: column to hold http errors
"""
return self.getOrDefault(self.errorCol)
[docs] def getHandler(self):
"""
Returns:
handler: Which strategy to use when handling requests
"""
return self.getOrDefault(self.handler)
[docs] def getHeight(self):
"""
Returns:
height: the desired height of the image
"""
return self._java_obj.getHeight()
[docs] def getImageBytes(self):
"""
Returns:
imageBytes: bytestream of the image to use
"""
return self._java_obj.getImageBytes()
[docs] def getImageUrl(self):
"""
Returns:
imageUrl: the url of the image to use
"""
return self._java_obj.getImageUrl()
[docs] def getOutputCol(self):
"""
Returns:
outputCol: The name of the output column
"""
return self.getOrDefault(self.outputCol)
[docs] def getSmartCropping(self):
"""
Returns:
smartCropping: whether to intelligently crop the image
"""
return self._java_obj.getSmartCropping()
[docs] def getSubscriptionKey(self):
"""
Returns:
subscriptionKey: the API key to use
"""
return self._java_obj.getSubscriptionKey()
[docs] def getTimeout(self):
"""
Returns:
timeout: number of seconds to wait before closing the connection
"""
return self.getOrDefault(self.timeout)
[docs] def getUrl(self):
"""
Returns:
url: Url of the service
"""
return self.getOrDefault(self.url)
[docs] def getWidth(self):
"""
Returns:
width: the desired width of the image
"""
return self._java_obj.getWidth()
[docs] def setCustomServiceName(self, value):
self._java_obj = self._java_obj.setCustomServiceName(value)
return self
[docs] def setEndpoint(self, value):
self._java_obj = self._java_obj.setEndpoint(value)
return self
[docs] def setDefaultInternalEndpoint(self, value):
self._java_obj = self._java_obj.setDefaultInternalEndpoint(value)
return self
def _transform(self, dataset: DataFrame) -> DataFrame:
if running_on_synapse_internal():
try:
from synapse.ml.mlflow import get_mlflow_env_config
mlflow_env_configs = get_mlflow_env_config()
self._java_obj.setDefaultAADToken(mlflow_env_configs.driver_aad_token)
self.setDefaultInternalEndpoint(mlflow_env_configs.workload_endpoint)
except ModuleNotFoundError as e:
pass
return super()._transform(dataset)
[docs] def setLocation(self, value):
self._java_obj = self._java_obj.setLocation(value)
return self
[docs] def setLinkedService(self, value):
self._java_obj = self._java_obj.setLinkedService(value)
return self