# 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 IdentifyFaces(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer):
"""
Args:
AADToken (object): AAD Token used for authentication
CustomAuthHeader (object): A Custom Value for Authorization Header
concurrency (int): max number of concurrent calls
concurrentTimeout (float): max number seconds to wait on futures if concurrency >= 1
confidenceThreshold (object): Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.
errorCol (str): column to hold http errors
faceIds (object): Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].
handler (object): Which strategy to use when handling requests
largePersonGroupId (object): largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
maxNumOfCandidatesReturned (object): The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).
outputCol (str): The name of the output column
personGroupId (object): personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
subscriptionKey (object): the API key to use
timeout (float): number of seconds to wait before closing the connection
url (str): Url of the service
"""
AADToken = Param(Params._dummy(), "AADToken", "ServiceParam: AAD Token used for authentication")
CustomAuthHeader = Param(Params._dummy(), "CustomAuthHeader", "ServiceParam: A Custom Value for Authorization Header")
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)
confidenceThreshold = Param(Params._dummy(), "confidenceThreshold", "ServiceParam: Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.")
errorCol = Param(Params._dummy(), "errorCol", "column to hold http errors", typeConverter=TypeConverters.toString)
faceIds = Param(Params._dummy(), "faceIds", "ServiceParam: Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10]. ")
handler = Param(Params._dummy(), "handler", "Which strategy to use when handling requests")
largePersonGroupId = Param(Params._dummy(), "largePersonGroupId", "ServiceParam: largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.")
maxNumOfCandidatesReturned = Param(Params._dummy(), "maxNumOfCandidatesReturned", "ServiceParam: The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).")
outputCol = Param(Params._dummy(), "outputCol", "The name of the output column", typeConverter=TypeConverters.toString)
personGroupId = Param(Params._dummy(), "personGroupId", "ServiceParam: personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.")
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)
@keyword_only
def __init__(
self,
java_obj=None,
AADToken=None,
AADTokenCol=None,
CustomAuthHeader=None,
CustomAuthHeaderCol=None,
concurrency=1,
concurrentTimeout=None,
confidenceThreshold=None,
confidenceThresholdCol=None,
errorCol="IdentifyFaces_ca749b1f4311_error",
faceIds=None,
faceIdsCol=None,
handler=None,
largePersonGroupId=None,
largePersonGroupIdCol=None,
maxNumOfCandidatesReturned=None,
maxNumOfCandidatesReturnedCol=None,
outputCol="IdentifyFaces_ca749b1f4311_output",
personGroupId=None,
personGroupIdCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=None
):
super(IdentifyFaces, self).__init__()
if java_obj is None:
self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.cognitive.face.IdentifyFaces", self.uid)
else:
self._java_obj = java_obj
self._setDefault(concurrency=1)
self._setDefault(errorCol="IdentifyFaces_ca749b1f4311_error")
self._setDefault(outputCol="IdentifyFaces_ca749b1f4311_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,
CustomAuthHeader=None,
CustomAuthHeaderCol=None,
concurrency=1,
concurrentTimeout=None,
confidenceThreshold=None,
confidenceThresholdCol=None,
errorCol="IdentifyFaces_ca749b1f4311_error",
faceIds=None,
faceIdsCol=None,
handler=None,
largePersonGroupId=None,
largePersonGroupIdCol=None,
maxNumOfCandidatesReturned=None,
maxNumOfCandidatesReturnedCol=None,
outputCol="IdentifyFaces_ca749b1f4311_output",
personGroupId=None,
personGroupIdCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
timeout=60.0,
url=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.face.IdentifyFaces"
@staticmethod
def _from_java(java_stage):
module_name=IdentifyFaces.__module__
module_name=module_name.rsplit(".", 1)[0] + ".IdentifyFaces"
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 setConfidenceThreshold(self, value):
"""
Args:
confidenceThreshold: Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.
"""
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.setConfidenceThreshold(value)
return self
[docs] def setConfidenceThresholdCol(self, value):
"""
Args:
confidenceThreshold: Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.
"""
self._java_obj = self._java_obj.setConfidenceThresholdCol(value)
return self
[docs] def setErrorCol(self, value):
"""
Args:
errorCol: column to hold http errors
"""
self._set(errorCol=value)
return self
[docs] def setFaceIds(self, value):
"""
Args:
faceIds: Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].
"""
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.setFaceIds(value)
return self
[docs] def setFaceIdsCol(self, value):
"""
Args:
faceIds: Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].
"""
self._java_obj = self._java_obj.setFaceIdsCol(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 setLargePersonGroupId(self, value):
"""
Args:
largePersonGroupId: largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
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.setLargePersonGroupId(value)
return self
[docs] def setLargePersonGroupIdCol(self, value):
"""
Args:
largePersonGroupId: largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
self._java_obj = self._java_obj.setLargePersonGroupIdCol(value)
return self
[docs] def setMaxNumOfCandidatesReturned(self, value):
"""
Args:
maxNumOfCandidatesReturned: The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).
"""
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.setMaxNumOfCandidatesReturned(value)
return self
[docs] def setMaxNumOfCandidatesReturnedCol(self, value):
"""
Args:
maxNumOfCandidatesReturned: The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).
"""
self._java_obj = self._java_obj.setMaxNumOfCandidatesReturnedCol(value)
return self
[docs] def setOutputCol(self, value):
"""
Args:
outputCol: The name of the output column
"""
self._set(outputCol=value)
return self
[docs] def setPersonGroupId(self, value):
"""
Args:
personGroupId: personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
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.setPersonGroupId(value)
return self
[docs] def setPersonGroupIdCol(self, value):
"""
Args:
personGroupId: personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
self._java_obj = self._java_obj.setPersonGroupIdCol(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 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 getConfidenceThreshold(self):
"""
Returns:
confidenceThreshold: Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.
"""
return self._java_obj.getConfidenceThreshold()
[docs] def getErrorCol(self):
"""
Returns:
errorCol: column to hold http errors
"""
return self.getOrDefault(self.errorCol)
[docs] def getFaceIds(self):
"""
Returns:
faceIds: Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].
"""
return self._java_obj.getFaceIds()
[docs] def getHandler(self):
"""
Returns:
handler: Which strategy to use when handling requests
"""
return self.getOrDefault(self.handler)
[docs] def getLargePersonGroupId(self):
"""
Returns:
largePersonGroupId: largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
return self._java_obj.getLargePersonGroupId()
[docs] def getMaxNumOfCandidatesReturned(self):
"""
Returns:
maxNumOfCandidatesReturned: The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).
"""
return self._java_obj.getMaxNumOfCandidatesReturned()
[docs] def getOutputCol(self):
"""
Returns:
outputCol: The name of the output column
"""
return self.getOrDefault(self.outputCol)
[docs] def getPersonGroupId(self):
"""
Returns:
personGroupId: personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.
"""
return self._java_obj.getPersonGroupId()
[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 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.fabric.token_utils import TokenUtils
from synapse.ml.fabric.service_discovery import get_fabric_env_config
fabric_env_config = get_fabric_env_config().fabric_env_config
if self._java_obj.getInternalServiceType() != "openai":
self._java_obj.setDefaultAADToken(TokenUtils().get_aad_token())
else:
self._java_obj.setDefaultCustomAuthHeader(TokenUtils().get_openai_auth_header())
self.setDefaultInternalEndpoint(fabric_env_config.get_mlflow_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