Class: Azure::CognitiveServices::TextAnalytics::V2_0::TextAnalyticsClient

Inherits:
MsRestAzure::AzureServiceClient
  • Object
show all
Includes:
MsRestAzure, MsRestAzure::Serialization
Defined in:
lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb

Overview

A service client - single point of access to the REST API.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(credentials = nil, options = nil) ⇒ TextAnalyticsClient

Creates initializes a new instance of the TextAnalyticsClient class.

Parameters:

  • credentials (MsRest::ServiceClientCredentials) (defaults to: nil) —

    credentials to authorize HTTP requests made by the service client.

  • options (Array) (defaults to: nil) —

    filters to be applied to the HTTP requests.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 45

def initialize(credentials = nil, options = nil)
  super(credentials, options)
  @base_url = '{Endpoint}/text/analytics/v2.0'

  fail ArgumentError, 'invalid type of credentials input parameter' unless credentials.is_a?(MsRest::ServiceClientCredentials) unless credentials.nil?
  @credentials = credentials

  @accept_language = 'en-US'
  @long_running_operation_retry_timeout = 30
  @generate_client_request_id = true
  add_telemetry
end

Instance Attribute Details

#accept_language ⇒ String

Returns The preferred language for the response.

Returns:

  • (String) —

    The preferred language for the response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 29

def accept_language
  @accept_language
end

#base_url ⇒ String (readonly)

Returns the base URI of the service.

Returns:

  • (String) —

    the base URI of the service.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 15

def base_url
  @base_url
end

#credentials ⇒ Object

subscription.

Returns:

  • Subscription credentials which uniquely identify client



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 26

def credentials
  @credentials
end

#credentials1 ⇒ Object (readonly)

Returns Credentials needed for the client to connect to Azure.

Returns:

  • Credentials needed for the client to connect to Azure.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 18

def credentials1
  @credentials1
end

#endpoint ⇒ String

hostname, for example: westus.api.cognitive.microsoft.com).

Returns:

  • (String) —

    Supported Cognitive Services endpoints (protocol and



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 22

def endpoint
  @endpoint
end

#generate_client_request_id ⇒ Boolean

generated. When set to true a unique x-ms-client-request-id value is generated and included in each request. Default is true.

Returns:

  • (Boolean) —

    Whether a unique x-ms-client-request-id should be



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 38

def generate_client_request_id
  @generate_client_request_id
end

#long_running_operation_retry_timeout ⇒ Integer

Operations. Default value is 30.

Returns:

  • (Integer) —

    The retry timeout in seconds for Long Running



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 33

def long_running_operation_retry_timeout
  @long_running_operation_retry_timeout
end

Instance Method Details

#detect_language(input, custom_headers: nil) ⇒ LanguageBatchResult

The API returns the detected language and a numeric score between 0 and 1.

Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

will be added to the HTTP request.

Parameters:

  • input (BatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (LanguageBatchResult) —

    operation results.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 242

def detect_language(input, custom_headers:nil)
  response = detect_language_async(input, custom_headers:custom_headers).value!
  response.body unless response.nil?
end

#detect_language_async(input, custom_headers: nil) ⇒ Concurrent::Promise

The API returns the detected language and a numeric score between 0 and 1.

Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

to the HTTP request.

Parameters:

  • input (BatchInput) —

    Collection of documents to analyze.

  • A (Hash{String => String}) —

    hash of custom headers that will be added

Returns:

  • (Concurrent::Promise) —

    Promise object which holds the HTTP response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 275

def detect_language_async(input, custom_headers:nil)
  fail ArgumentError, 'endpoint is nil' if endpoint.nil?
  fail ArgumentError, 'input is nil' if input.nil?


  request_headers = {}
  request_headers['Content-Type'] = 'application/json; charset=utf-8'

  # Set Headers
  request_headers['x-ms-client-request-id'] = SecureRandom.uuid
  request_headers['accept-language'] = accept_language unless accept_language.nil?

  # Serialize Request
  request_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::BatchInput.mapper()
  request_content = self.serialize(request_mapper,  input)
  request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil

  path_template = 'languages'

  request_url = @base_url || self.base_url
request_url = request_url.gsub('{Endpoint}', endpoint)

  options = {
      middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]],
      body: request_content,
      headers: request_headers.merge(custom_headers || {}),
      base_url: request_url
  }
  promise = self.make_request_async(:post, path_template, options)

  promise = promise.then do |result|
    http_response = result.response
    status_code = http_response.status
    response_content = http_response.body
    unless status_code == 200
      error_model = JSON.load(response_content)
      fail MsRest::HttpOperationError.new(result.request, http_response, error_model)
    end

    result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil?
    # Deserialize Response
    if status_code == 200
      begin
        parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content)
        result_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::LanguageBatchResult.mapper()
        result.body = self.deserialize(result_mapper, parsed_response)
      rescue Exception => e
        fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result)
      end
    end

    result
  end

  promise.execute
end

#detect_language_with_http_info(input, custom_headers: nil) ⇒ MsRestAzure::AzureOperationResponse

The API returns the detected language and a numeric score between 0 and 1.

Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

will be added to the HTTP request.

Parameters:

  • input (BatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (MsRestAzure::AzureOperationResponse) —

    HTTP response information.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 259

def detect_language_with_http_info(input, custom_headers:nil)
  detect_language_async(input, custom_headers:custom_headers).value!
end

#entities(input, custom_headers: nil) ⇒ EntitiesBatchResult

The API returns a list of recognized entities in a given document.

To get even more information on each recognized entity we recommend using the Bing Entity Search API by querying for the recognized entities names. See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/text-analytics-supported-languages”>Supported languages in Text Analytics API</a> for the list of enabled languages.

will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (EntitiesBatchResult) —

    operation results.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 461

def entities(input, custom_headers:nil)
  response = entities_async(input, custom_headers:custom_headers).value!
  response.body unless response.nil?
end

#entities_async(input, custom_headers: nil) ⇒ Concurrent::Promise

The API returns a list of recognized entities in a given document.

To get even more information on each recognized entity we recommend using the Bing Entity Search API by querying for the recognized entities names. See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/text-analytics-supported-languages”>Supported languages in Text Analytics API</a> for the list of enabled languages.

to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • A (Hash{String => String}) —

    hash of custom headers that will be added

Returns:

  • (Concurrent::Promise) —

    Promise object which holds the HTTP response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 500

def entities_async(input, custom_headers:nil)
  fail ArgumentError, 'endpoint is nil' if endpoint.nil?
  fail ArgumentError, 'input is nil' if input.nil?


  request_headers = {}
  request_headers['Content-Type'] = 'application/json; charset=utf-8'

  # Set Headers
  request_headers['x-ms-client-request-id'] = SecureRandom.uuid
  request_headers['accept-language'] = accept_language unless accept_language.nil?

  # Serialize Request
  request_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::MultiLanguageBatchInput.mapper()
  request_content = self.serialize(request_mapper,  input)
  request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil

  path_template = 'entities'

  request_url = @base_url || self.base_url
request_url = request_url.gsub('{Endpoint}', endpoint)

  options = {
      middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]],
      body: request_content,
      headers: request_headers.merge(custom_headers || {}),
      base_url: request_url
  }
  promise = self.make_request_async(:post, path_template, options)

  promise = promise.then do |result|
    http_response = result.response
    status_code = http_response.status
    response_content = http_response.body
    unless status_code == 200
      error_model = JSON.load(response_content)
      fail MsRest::HttpOperationError.new(result.request, http_response, error_model)
    end

    result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil?
    # Deserialize Response
    if status_code == 200
      begin
        parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content)
        result_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::EntitiesBatchResult.mapper()
        result.body = self.deserialize(result_mapper, parsed_response)
      rescue Exception => e
        fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result)
      end
    end

    result
  end

  promise.execute
end

#entities_with_http_info(input, custom_headers: nil) ⇒ MsRestAzure::AzureOperationResponse

The API returns a list of recognized entities in a given document.

To get even more information on each recognized entity we recommend using the Bing Entity Search API by querying for the recognized entities names. See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/text-analytics-supported-languages”>Supported languages in Text Analytics API</a> for the list of enabled languages.

will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (MsRestAzure::AzureOperationResponse) —

    HTTP response information.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 481

def entities_with_http_info(input, custom_headers:nil)
  entities_async(input, custom_headers:custom_headers).value!
end

#key_phrases(input, custom_headers: nil) ⇒ KeyPhraseBatchResult

The API returns a list of strings denoting the key talking points in the input text.

See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by key phrase extraction.

Documents can now contain a language field to indicate the text language will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (KeyPhraseBatchResult) —

    operation results.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 132

def key_phrases(input, custom_headers:nil)
  response = key_phrases_async(input, custom_headers:custom_headers).value!
  response.body unless response.nil?
end

#key_phrases_async(input, custom_headers: nil) ⇒ Concurrent::Promise

The API returns a list of strings denoting the key talking points in the input text.

See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by key phrase extraction.

Documents can now contain a language field to indicate the text language to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • A (Hash{String => String}) —

    hash of custom headers that will be added

Returns:

  • (Concurrent::Promise) —

    Promise object which holds the HTTP response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 173

def key_phrases_async(input, custom_headers:nil)
  fail ArgumentError, 'endpoint is nil' if endpoint.nil?
  fail ArgumentError, 'input is nil' if input.nil?


  request_headers = {}
  request_headers['Content-Type'] = 'application/json; charset=utf-8'

  # Set Headers
  request_headers['x-ms-client-request-id'] = SecureRandom.uuid
  request_headers['accept-language'] = accept_language unless accept_language.nil?

  # Serialize Request
  request_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::MultiLanguageBatchInput.mapper()
  request_content = self.serialize(request_mapper,  input)
  request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil

  path_template = 'keyPhrases'

  request_url = @base_url || self.base_url
request_url = request_url.gsub('{Endpoint}', endpoint)

  options = {
      middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]],
      body: request_content,
      headers: request_headers.merge(custom_headers || {}),
      base_url: request_url
  }
  promise = self.make_request_async(:post, path_template, options)

  promise = promise.then do |result|
    http_response = result.response
    status_code = http_response.status
    response_content = http_response.body
    unless status_code == 200
      error_model = JSON.load(response_content)
      fail MsRest::HttpOperationError.new(result.request, http_response, error_model)
    end

    result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil?
    # Deserialize Response
    if status_code == 200
      begin
        parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content)
        result_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::KeyPhraseBatchResult.mapper()
        result.body = self.deserialize(result_mapper, parsed_response)
      rescue Exception => e
        fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result)
      end
    end

    result
  end

  promise.execute
end

#key_phrases_with_http_info(input, custom_headers: nil) ⇒ MsRestAzure::AzureOperationResponse

The API returns a list of strings denoting the key talking points in the input text.

See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by key phrase extraction.

Documents can now contain a language field to indicate the text language will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (MsRestAzure::AzureOperationResponse) —

    HTTP response information.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 153

def key_phrases_with_http_info(input, custom_headers:nil)
  key_phrases_async(input, custom_headers:custom_headers).value!
end

#make_request(method, path, options = {}) ⇒ Hash{String=>String}

Makes a request and returns the body of the response. Example:

request_content = "{'location':'westus','tags':{'tag1':'val1','tag2':'val2'}}"
path = "/path"
options = {
  body: request_content,
  query_params: {'api-version' => '2016-02-01'}
}
result = @client.make_request(:put, path, options)

Parameters:

  • method (Symbol) —

    with any of the following values :get, :put, :post, :patch, :delete.

  • path (String) —

    the path, relative to #base_url.

  • options (Hash{String=>String}) (defaults to: {}) —

    specifying any request options like :body.

Returns:

  • (Hash{String=>String}) —

    containing the body of the response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 74

def make_request(method, path, options = {})
  result = make_request_with_http_info(method, path, options)
  result.body unless result.nil?
end

#make_request_async(method, path, options = {}) ⇒ Concurrent::Promise

Makes a request asynchronously.

Parameters:

  • method (Symbol) —

    with any of the following values :get, :put, :post, :patch, :delete.

  • path (String) —

    the path, relative to #base_url.

  • options (Hash{String=>String}) (defaults to: {}) —

    specifying any request options like :body.

Returns:

  • (Concurrent::Promise) —

    Promise object which holds the HTTP response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 99

def make_request_async(method, path, options = {})
  fail ArgumentError, 'method is nil' if method.nil?
  fail ArgumentError, 'path is nil' if path.nil?

  request_url = options[:base_url] || @base_url
  if(!options[:headers].nil? && !options[:headers]['Content-Type'].nil?)
    @request_headers['Content-Type'] = options[:headers]['Content-Type']
  end

  request_headers = @request_headers
  request_headers.merge!({'accept-language' => @accept_language}) unless @accept_language.nil?
  options.merge!({headers: request_headers.merge(options[:headers] || {})})
  options.merge!({credentials: @credentials}) unless @credentials.nil?

  super(request_url, method, path, options)
end

#make_request_with_http_info(method, path, options = {}) ⇒ MsRestAzure::AzureOperationResponse

Makes a request and returns the operation response.

Parameters:

  • method (Symbol) —

    with any of the following values :get, :put, :post, :patch, :delete.

  • path (String) —

    the path, relative to #base_url.

  • options (Hash{String=>String}) (defaults to: {}) —

    specifying any request options like :body.

Returns:

  • (MsRestAzure::AzureOperationResponse) —

    Operation response containing the request, response and status.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 86

def make_request_with_http_info(method, path, options = {})
  result = make_request_async(method, path, options).value!
  result.body = result.response.body.to_s.empty? ? nil : JSON.load(result.response.body)
  result
end

#sentiment(input, custom_headers: nil) ⇒ SentimentBatchResult

The API returns a numeric score between 0 and 1.

Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment. A score of 0.5 indicates the lack of sentiment (e.g. a factoid statement). See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by sentiment analysis.

will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (SentimentBatchResult) —

    operation results.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 348

def sentiment(input, custom_headers:nil)
  response = sentiment_async(input, custom_headers:custom_headers).value!
  response.body unless response.nil?
end

#sentiment_async(input, custom_headers: nil) ⇒ Concurrent::Promise

The API returns a numeric score between 0 and 1.

Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment. A score of 0.5 indicates the lack of sentiment (e.g. a factoid statement). See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by sentiment analysis.

to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • A (Hash{String => String}) —

    hash of custom headers that will be added

Returns:

  • (Concurrent::Promise) —

    Promise object which holds the HTTP response.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 389

def sentiment_async(input, custom_headers:nil)
  fail ArgumentError, 'endpoint is nil' if endpoint.nil?
  fail ArgumentError, 'input is nil' if input.nil?


  request_headers = {}
  request_headers['Content-Type'] = 'application/json; charset=utf-8'

  # Set Headers
  request_headers['x-ms-client-request-id'] = SecureRandom.uuid
  request_headers['accept-language'] = accept_language unless accept_language.nil?

  # Serialize Request
  request_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::MultiLanguageBatchInput.mapper()
  request_content = self.serialize(request_mapper,  input)
  request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil

  path_template = 'sentiment'

  request_url = @base_url || self.base_url
request_url = request_url.gsub('{Endpoint}', endpoint)

  options = {
      middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]],
      body: request_content,
      headers: request_headers.merge(custom_headers || {}),
      base_url: request_url
  }
  promise = self.make_request_async(:post, path_template, options)

  promise = promise.then do |result|
    http_response = result.response
    status_code = http_response.status
    response_content = http_response.body
    unless status_code == 200
      error_model = JSON.load(response_content)
      fail MsRest::HttpOperationError.new(result.request, http_response, error_model)
    end

    result.request_id = http_response['x-ms-request-id'] unless http_response['x-ms-request-id'].nil?
    # Deserialize Response
    if status_code == 200
      begin
        parsed_response = response_content.to_s.empty? ? nil : JSON.load(response_content)
        result_mapper = Azure::CognitiveServices::TextAnalytics::V2_0::Models::SentimentBatchResult.mapper()
        result.body = self.deserialize(result_mapper, parsed_response)
      rescue Exception => e
        fail MsRest::DeserializationError.new('Error occurred in deserializing the response', e.message, e.backtrace, result)
      end
    end

    result
  end

  promise.execute
end

#sentiment_with_http_info(input, custom_headers: nil) ⇒ MsRestAzure::AzureOperationResponse

The API returns a numeric score between 0 and 1.

Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment. A score of 0.5 indicates the lack of sentiment (e.g. a factoid statement). See the <a href=“docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview#supported-languages”>Text Analytics Documentation</a> for details about the languages that are supported by sentiment analysis.

will be added to the HTTP request.

Parameters:

  • input (MultiLanguageBatchInput) —

    Collection of documents to analyze.

  • custom_headers (Hash{String => String}) (defaults to: nil) —

    A hash of custom headers that

Returns:

  • (MsRestAzure::AzureOperationResponse) —

    HTTP response information.



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# File 'lib/v2.0/generated/azure_cognitiveservices_textanalytics/text_analytics_client.rb', line 369

def sentiment_with_http_info(input, custom_headers:nil)
  sentiment_async(input, custom_headers:custom_headers).value!
end