A NLPProcessor using a NLPServer as backend

Introduced properties

fun annotators: Array[String]

nlp :: NLPClient :: annotators

Annotators to use
fun annotators=(annotators: Array[String])

nlp :: NLPClient :: annotators=

Annotators to use
fun api_uri: String

nlp :: NLPClient :: api_uri

Base uri of the NLP server API
protected fun api_uri=(api_uri: String)

nlp :: NLPClient :: api_uri=

Base uri of the NLP server API
init defaultinit(api_uri: String)

nlp :: NLPClient :: defaultinit

fun language: String

nlp :: NLPClient :: language

Language to process
fun language=(language: String)

nlp :: NLPClient :: language=

Language to process
fun post_uri: String

nlp :: NLPClient :: post_uri

API uri used to build curl POST requests

Redefined properties

redef type SELF: NLPClient

nlp $ NLPClient :: SELF

Type of this instance, automatically specialized in every class
redef fun process(string: String): NLPDocument

nlp $ NLPClient :: process

Creates a new NLPDocument from a string

All properties

fun !=(other: nullable Object): Bool

core :: Object :: !=

Have self and other different values?
fun ==(other: nullable Object): Bool

core :: Object :: ==

Have self and other the same value?
type CLASS: Class[SELF]

core :: Object :: CLASS

The type of the class of self.
type SELF: Object

core :: Object :: SELF

Type of this instance, automatically specialized in every class
fun annotators: Array[String]

nlp :: NLPClient :: annotators

Annotators to use
fun annotators=(annotators: Array[String])

nlp :: NLPClient :: annotators=

Annotators to use
fun api_uri: String

nlp :: NLPClient :: api_uri

Base uri of the NLP server API
protected fun api_uri=(api_uri: String)

nlp :: NLPClient :: api_uri=

Base uri of the NLP server API
protected fun class_factory(name: String): CLASS

core :: Object :: class_factory

Implementation used by get_class to create the specific class.
fun class_name: String

core :: Object :: class_name

The class name of the object.
init defaultinit(api_uri: String)

nlp :: NLPClient :: defaultinit

fun get_class: CLASS

core :: Object :: get_class

The meta-object representing the dynamic type of self.
fun hash: Int

core :: Object :: hash

The hash code of the object.
init init

core :: Object :: init

fun inspect: String

core :: Object :: inspect

Developer readable representation of self.
protected fun inspect_head: String

core :: Object :: inspect_head

Return "CLASSNAME:#OBJECTID".
intern fun is_same_instance(other: nullable Object): Bool

core :: Object :: is_same_instance

Return true if self and other are the same instance (i.e. same identity).
fun is_same_serialized(other: nullable Object): Bool

core :: Object :: is_same_serialized

Is self the same as other in a serialization context?
intern fun is_same_type(other: Object): Bool

core :: Object :: is_same_type

Return true if self and other have the same dynamic type.
fun language: String

nlp :: NLPClient :: language

Language to process
fun language=(language: String)

nlp :: NLPClient :: language=

Language to process
intern fun object_id: Int

core :: Object :: object_id

An internal hash code for the object based on its identity.
fun output

core :: Object :: output

Display self on stdout (debug only).
intern fun output_class_name

core :: Object :: output_class_name

Display class name on stdout (debug only).
fun post_uri: String

nlp :: NLPClient :: post_uri

API uri used to build curl POST requests
abstract fun process(string: String): NLPDocument

nlp :: NLPProcessor :: process

Creates a new NLPDocument from a string
fun process_file(path: String): NLPDocument

nlp :: NLPProcessor :: process_file

Creates a new NLPDocument from a file content
fun process_files(paths: Array[String]): Map[String, NLPDocument]

nlp :: NLPProcessor :: process_files

Creates a new NLPDocument from a list of files (batch mode)
fun serialization_hash: Int

core :: Object :: serialization_hash

Hash value use for serialization
intern fun sys: Sys

core :: Object :: sys

Return the global sys object, the only instance of the Sys class.
abstract fun to_jvalue(env: JniEnv): JValue

core :: Object :: to_jvalue

fun to_s: String

core :: Object :: to_s

User readable representation of self.
package_diagram nlp::NLPClient NLPClient nlp::NLPProcessor NLPProcessor nlp::NLPClient->nlp::NLPProcessor core::Object Object nlp::NLPProcessor->core::Object ...core::Object ... ...core::Object->core::Object

Ancestors

interface Object

core :: Object

The root of the class hierarchy.

Parents

interface NLPProcessor

nlp :: NLPProcessor

Natural Language Processor

Class definitions

nlp $ NLPClient
# A NLPProcessor using a NLPServer as backend
class NLPClient
	super NLPProcessor

	# Base uri of the NLP server API
	#
	# For examples "http://localhost:9000" or "https://myserver.com"
	var api_uri: String

	# Annotators to use
	#
	# The specified annotators must exist on the server.
	#
	# Defaults are: `tokenize`, `ssplit`, `pos` and `lemma`.
	var annotators: Array[String] = ["tokenize", "ssplit", "pos", "lemma"] is writable

	# Language to process
	#
	# The language must be available on the server.
	#
	# Default is `en`.
	var language = "en" is writable

	# Output format to ask.
	#
	# Only `xml` is implemented at the moment.
	private var format = "xml"

	# API uri used to build curl POST requests
	fun post_uri: String do
		return "{api_uri}/?properties=%7B%22annotators%22%3A%20%22tokenize%2Cssplit%2Cpos%2clemma%22%2C%22outputFormat%22%3A%22{format}%22%7D&pipelineLanguage={language}"
	end

	redef fun process(string) do
		var request = new CurlHTTPRequest(post_uri)
		request.body = string
		var response = request.execute
		if response isa CurlResponseSuccess then
			if response.status_code != 200 then
				print "Error: {response.body_str}"
				return new NLPDocument
			end
			var xml = response.body_str.to_xml
			if xml isa XMLError then
				print xml
			end
			return new NLPDocument.from_xml(response.body_str.to_xml.as(XMLDocument))
		else if response isa CurlResponseFailed then
			print "Error: {response.error_msg}"
			return new NLPDocument
		end
		return new NLPDocument
	end
end
lib/nlp/stanford.nit:324,1--377,3