# 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.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 AnalyzeLayout(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer):
"""
Args:
backoffs (list): array of backoffs to use in the handler
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
imageBytes (object): bytestream of the image to use
imageUrl (object): the url of the image to use
initialPollingDelay (int): number of milliseconds to wait before first poll for result
language (object): The BCP-47 language code of the text in the document. Layout supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language.
maxPollingRetries (int): number of times to poll
modelVersion (object): This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.
outputCol (str): The name of the output column
pages (object): The page selection only leveraged for multi-page PDF and TIFF documents. Accepted input include single pages (e.g.'1, 2' -> pages 1 and 2 will be processed), finite (e.g. '2-5' -> pages 2 to 5 will be processed) and open-ended ranges (e.g. '5-' -> all the pages from page 5 will be processed; e.g. '-10' -> pages 1 to 10 will be processed). All of these can be mixed together and ranges are allowed to overlap (eg. '-5, 1, 3, 5-10' - pages 1 to 10 will be processed). The service will accept the request if it can process at least one page of the document (e.g. using '5-100' on a 5 page document is a valid input where page 5 will be processed). If no page range is provided, the entire document will be processed.
pollingDelay (int): number of milliseconds to wait between polling
readingOrder (object): Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to basic if not specified
subscriptionKey (object): the API key to use
suppressMaxRetriesExceededException (bool): set true to suppress the maxumimum retries exception and report in the error column
timeout (float): number of seconds to wait before closing the connection
url (str): Url of the service
"""
backoffs = Param(Params._dummy(), "backoffs", "array of backoffs to use in the handler", typeConverter=TypeConverters.toListInt)
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)
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")
initialPollingDelay = Param(Params._dummy(), "initialPollingDelay", "number of milliseconds to wait before first poll for result", typeConverter=TypeConverters.toInt)
language = Param(Params._dummy(), "language", "ServiceParam: The BCP-47 language code of the text in the document. Layout supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language.")
maxPollingRetries = Param(Params._dummy(), "maxPollingRetries", "number of times to poll", typeConverter=TypeConverters.toInt)
modelVersion = Param(Params._dummy(), "modelVersion", "ServiceParam: This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.")
outputCol = Param(Params._dummy(), "outputCol", "The name of the output column", typeConverter=TypeConverters.toString)
pages = Param(Params._dummy(), "pages", "ServiceParam: The page selection only leveraged for multi-page PDF and TIFF documents. Accepted input include single pages (e.g.'1, 2' -> pages 1 and 2 will be processed), finite (e.g. '2-5' -> pages 2 to 5 will be processed) and open-ended ranges (e.g. '5-' -> all the pages from page 5 will be processed; e.g. '-10' -> pages 1 to 10 will be processed). All of these can be mixed together and ranges are allowed to overlap (eg. '-5, 1, 3, 5-10' - pages 1 to 10 will be processed). The service will accept the request if it can process at least one page of the document (e.g. using '5-100' on a 5 page document is a valid input where page 5 will be processed). If no page range is provided, the entire document will be processed.")
pollingDelay = Param(Params._dummy(), "pollingDelay", "number of milliseconds to wait between polling", typeConverter=TypeConverters.toInt)
readingOrder = Param(Params._dummy(), "readingOrder", "ServiceParam: Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to basic if not specified")
subscriptionKey = Param(Params._dummy(), "subscriptionKey", "ServiceParam: the API key to use")
suppressMaxRetriesExceededException = Param(Params._dummy(), "suppressMaxRetriesExceededException", "set true to suppress the maxumimum retries exception and report in the error column", typeConverter=TypeConverters.toBoolean)
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,
backoffs=[100,500,1000],
concurrency=1,
concurrentTimeout=None,
errorCol="AnalyzeLayout_42cda16b2446_error",
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
initialPollingDelay=300,
language=None,
languageCol=None,
maxPollingRetries=1000,
modelVersion=None,
modelVersionCol=None,
outputCol="AnalyzeLayout_42cda16b2446_output",
pages=None,
pagesCol=None,
pollingDelay=300,
readingOrder=None,
readingOrderCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
suppressMaxRetriesExceededException=False,
timeout=60.0,
url=None
):
super(AnalyzeLayout, self).__init__()
if java_obj is None:
self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.cognitive.AnalyzeLayout", self.uid)
else:
self._java_obj = java_obj
self._setDefault(backoffs=[100,500,1000])
self._setDefault(concurrency=1)
self._setDefault(errorCol="AnalyzeLayout_42cda16b2446_error")
self._setDefault(initialPollingDelay=300)
self._setDefault(maxPollingRetries=1000)
self._setDefault(outputCol="AnalyzeLayout_42cda16b2446_output")
self._setDefault(pollingDelay=300)
self._setDefault(suppressMaxRetriesExceededException=False)
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,
backoffs=[100,500,1000],
concurrency=1,
concurrentTimeout=None,
errorCol="AnalyzeLayout_42cda16b2446_error",
imageBytes=None,
imageBytesCol=None,
imageUrl=None,
imageUrlCol=None,
initialPollingDelay=300,
language=None,
languageCol=None,
maxPollingRetries=1000,
modelVersion=None,
modelVersionCol=None,
outputCol="AnalyzeLayout_42cda16b2446_output",
pages=None,
pagesCol=None,
pollingDelay=300,
readingOrder=None,
readingOrderCol=None,
subscriptionKey=None,
subscriptionKeyCol=None,
suppressMaxRetriesExceededException=False,
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.AnalyzeLayout"
@staticmethod
def _from_java(java_stage):
module_name=AnalyzeLayout.__module__
module_name=module_name.rsplit(".", 1)[0] + ".AnalyzeLayout"
return from_java(java_stage, module_name)
[docs] def setBackoffs(self, value):
"""
Args:
backoffs: array of backoffs to use in the handler
"""
self._set(backoffs=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 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 setInitialPollingDelay(self, value):
"""
Args:
initialPollingDelay: number of milliseconds to wait before first poll for result
"""
self._set(initialPollingDelay=value)
return self
[docs] def setLanguage(self, value):
"""
Args:
language: The BCP-47 language code of the text in the document. Layout supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language.
"""
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.setLanguage(value)
return self
[docs] def setLanguageCol(self, value):
"""
Args:
language: The BCP-47 language code of the text in the document. Layout supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language.
"""
self._java_obj = self._java_obj.setLanguageCol(value)
return self
[docs] def setMaxPollingRetries(self, value):
"""
Args:
maxPollingRetries: number of times to poll
"""
self._set(maxPollingRetries=value)
return self
[docs] def setModelVersion(self, value):
"""
Args:
modelVersion: This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.
"""
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.setModelVersion(value)
return self
[docs] def setModelVersionCol(self, value):
"""
Args:
modelVersion: This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.
"""
self._java_obj = self._java_obj.setModelVersionCol(value)
return self
[docs] def setOutputCol(self, value):
"""
Args:
outputCol: The name of the output column
"""
self._set(outputCol=value)
return self
[docs] def setPages(self, value):
"""
Args:
pages: The page selection only leveraged for multi-page PDF and TIFF documents. Accepted input include single pages (e.g.'1, 2' -> pages 1 and 2 will be processed), finite (e.g. '2-5' -> pages 2 to 5 will be processed) and open-ended ranges (e.g. '5-' -> all the pages from page 5 will be processed; e.g. '-10' -> pages 1 to 10 will be processed). All of these can be mixed together and ranges are allowed to overlap (eg. '-5, 1, 3, 5-10' - pages 1 to 10 will be processed). The service will accept the request if it can process at least one page of the document (e.g. using '5-100' on a 5 page document is a valid input where page 5 will be processed). If no page range is provided, the entire document will be processed.
"""
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.setPages(value)
return self
[docs] def setPagesCol(self, value):
"""
Args:
pages: The page selection only leveraged for multi-page PDF and TIFF documents. Accepted input include single pages (e.g.'1, 2' -> pages 1 and 2 will be processed), finite (e.g. '2-5' -> pages 2 to 5 will be processed) and open-ended ranges (e.g. '5-' -> all the pages from page 5 will be processed; e.g. '-10' -> pages 1 to 10 will be processed). All of these can be mixed together and ranges are allowed to overlap (eg. '-5, 1, 3, 5-10' - pages 1 to 10 will be processed). The service will accept the request if it can process at least one page of the document (e.g. using '5-100' on a 5 page document is a valid input where page 5 will be processed). If no page range is provided, the entire document will be processed.
"""
self._java_obj = self._java_obj.setPagesCol(value)
return self
[docs] def setPollingDelay(self, value):
"""
Args:
pollingDelay: number of milliseconds to wait between polling
"""
self._set(pollingDelay=value)
return self
[docs] def setReadingOrder(self, value):
"""
Args:
readingOrder: Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to basic if not specified
"""
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.setReadingOrder(value)
return self
[docs] def setReadingOrderCol(self, value):
"""
Args:
readingOrder: Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to basic if not specified
"""
self._java_obj = self._java_obj.setReadingOrderCol(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 setSuppressMaxRetriesExceededException(self, value):
"""
Args:
suppressMaxRetriesExceededException: set true to suppress the maxumimum retries exception and report in the error column
"""
self._set(suppressMaxRetriesExceededException=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 getBackoffs(self):
"""
Returns:
backoffs: array of backoffs to use in the handler
"""
return self.getOrDefault(self.backoffs)
[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 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 getInitialPollingDelay(self):
"""
Returns:
initialPollingDelay: number of milliseconds to wait before first poll for result
"""
return self.getOrDefault(self.initialPollingDelay)
[docs] def getLanguage(self):
"""
Returns:
language: The BCP-47 language code of the text in the document. Layout supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language.
"""
return self._java_obj.getLanguage()
[docs] def getMaxPollingRetries(self):
"""
Returns:
maxPollingRetries: number of times to poll
"""
return self.getOrDefault(self.maxPollingRetries)
[docs] def getModelVersion(self):
"""
Returns:
modelVersion: This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.
"""
return self._java_obj.getModelVersion()
[docs] def getOutputCol(self):
"""
Returns:
outputCol: The name of the output column
"""
return self.getOrDefault(self.outputCol)
[docs] def getPages(self):
"""
Returns:
pages: The page selection only leveraged for multi-page PDF and TIFF documents. Accepted input include single pages (e.g.'1, 2' -> pages 1 and 2 will be processed), finite (e.g. '2-5' -> pages 2 to 5 will be processed) and open-ended ranges (e.g. '5-' -> all the pages from page 5 will be processed; e.g. '-10' -> pages 1 to 10 will be processed). All of these can be mixed together and ranges are allowed to overlap (eg. '-5, 1, 3, 5-10' - pages 1 to 10 will be processed). The service will accept the request if it can process at least one page of the document (e.g. using '5-100' on a 5 page document is a valid input where page 5 will be processed). If no page range is provided, the entire document will be processed.
"""
return self._java_obj.getPages()
[docs] def getPollingDelay(self):
"""
Returns:
pollingDelay: number of milliseconds to wait between polling
"""
return self.getOrDefault(self.pollingDelay)
[docs] def getReadingOrder(self):
"""
Returns:
readingOrder: Optional parameter to specify which reading order algorithm should be applied when ordering the extract text elements. Can be either 'basic' or 'natural'. Will default to basic if not specified
"""
return self._java_obj.getReadingOrder()
[docs] def getSubscriptionKey(self):
"""
Returns:
subscriptionKey: the API key to use
"""
return self._java_obj.getSubscriptionKey()
[docs] def getSuppressMaxRetriesExceededException(self):
"""
Returns:
suppressMaxRetriesExceededException: set true to suppress the maxumimum retries exception and report in the error column
"""
return self.getOrDefault(self.suppressMaxRetriesExceededException)
[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 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