# 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.ml.param.shared import *
from pyspark import keyword_only
from pyspark.ml.util import JavaMLReadable, JavaMLWritable
from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
from pyspark.ml.common import inherit_doc
from mmlspark.Utils import *
from mmlspark.TypeConversionUtils import generateTypeConverter, complexTypeConverter
[docs]@inherit_doc
class JSONOutputParser(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer):
"""
Args:
dataType (object): format to parse the column to
inputCol (str): The name of the input column
outputCol (str): The name of the output column
postProcessor (object): optional transformation to postprocess json output
"""
@keyword_only
def __init__(self, dataType=None, inputCol=None, outputCol=None, postProcessor=None):
super(JSONOutputParser, self).__init__()
self._java_obj = self._new_java_obj("com.microsoft.ml.spark.JSONOutputParser")
self._cache = {}
self.dataType = Param(self, "dataType", "dataType: format to parse the column to")
self.inputCol = Param(self, "inputCol", "inputCol: The name of the input column")
self.outputCol = Param(self, "outputCol", "outputCol: The name of the output column")
self.postProcessor = Param(self, "postProcessor", "postProcessor: optional transformation to postprocess json output", generateTypeConverter("postProcessor", self._cache, complexTypeConverter))
if hasattr(self, "_input_kwargs"):
kwargs = self._input_kwargs
else:
kwargs = self.__init__._input_kwargs
self.setParams(**kwargs)
[docs] @keyword_only
def setParams(self, dataType=None, inputCol=None, outputCol=None, postProcessor=None):
"""
Set the (keyword only) parameters
Args:
dataType (object): format to parse the column to
inputCol (str): The name of the input column
outputCol (str): The name of the output column
postProcessor (object): optional transformation to postprocess json output
"""
if hasattr(self, "_input_kwargs"):
kwargs = self._input_kwargs
else:
kwargs = self.__init__._input_kwargs
return self._set(**kwargs)
[docs] def setDataType(self, value):
"""
Args:
dataType (object): format to parse the column to
"""
self._set(dataType=value)
return self
[docs] def getDataType(self):
"""
Returns:
object: format to parse the column to
"""
return self.getOrDefault(self.dataType)
[docs] def setOutputCol(self, value):
"""
Args:
outputCol (str): The name of the output column
"""
self._set(outputCol=value)
return self
[docs] def getOutputCol(self):
"""
Returns:
str: The name of the output column
"""
return self.getOrDefault(self.outputCol)
[docs] def setPostProcessor(self, value):
"""
Args:
postProcessor (object): optional transformation to postprocess json output
"""
self._set(postProcessor=value)
return self
[docs] def getPostProcessor(self):
"""
Returns:
object: optional transformation to postprocess json output
"""
return self._cache.get("postProcessor", None)
[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.ml.spark.JSONOutputParser"
@staticmethod
def _from_java(java_stage):
module_name=JSONOutputParser.__module__
module_name=module_name.rsplit(".", 1)[0] + ".JSONOutputParser"
return from_java(java_stage, module_name)