class Azure::CognitiveServices::ContentModerator::V1_0::Reviews
You use the API to scan your content as it is generated. Content Moderator then processes your content and sends the results along with relevant information either back to your systems or to the built-in review tool. You can use this information to take decisions e.g. take it down, send to human judge, etc.
When using the API, images need to have a minimum of 128 pixels and a maximum file size of 4MB. Text can be at most 1024 characters long. If the content passed to the text API or the image API exceeds the size limits, the API will return an error code that informs about the issue.
Attributes
@return [ContentModeratorClient] reference to the ContentModeratorClient
Private Class Methods
Creates and initializes a new instance of the Reviews
class. @param client service class for accessing basic functionality.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 27 def initialize(client) @client = client end
Private Instance Methods
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param timescale [Integer] Timescale of the video you are adding frames to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 745 def add_video_frame(team_name, review_id, timescale:nil, custom_headers:nil) response = add_video_frame_async(team_name, review_id, timescale:timescale, custom_headers:custom_headers).value! nil end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param timescale [Integer] Timescale of the video you are adding frames to. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 826 def add_video_frame_async(team_name, review_id, timescale:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.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'] = @client.accept_language unless @client.accept_language.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/frames' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, query_params: {'timescale' => timescale}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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? result end promise.execute end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param frame_image_zip Zip file containing frame images. @param frame_metadata [String] Metadata of the frame. @param timescale [Integer] Timescale of the video . @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1721 def add_video_frame_stream(content_type, team_name, review_id, frame_image_zip, frame_metadata, timescale:nil, custom_headers:nil) response = add_video_frame_stream_async(content_type, team_name, review_id, frame_image_zip, frame_metadata, timescale:timescale, custom_headers:custom_headers).value! nil end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param frame_image_zip Zip file containing frame images. @param frame_metadata [String] Metadata of the frame. @param timescale [Integer] Timescale of the video . @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1766 def add_video_frame_stream_async(content_type, team_name, review_id, frame_image_zip, frame_metadata, timescale:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'content_type is nil' if content_type.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.nil? fail ArgumentError, 'frame_image_zip is nil' if frame_image_zip.nil? fail ArgumentError, 'frame_metadata is nil' if frame_metadata.nil? request_headers = {} request_headers['Content-Type'] = 'multipart/form-data' # Set Headers request_headers['x-ms-client-request-id'] = SecureRandom.uuid request_headers['Content-Type'] = content_type unless content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Set Form Data form_data = {} form_data['frameImageZip'] = frame_image_zip.to_s unless frame_image_zip.to_s.nil? form_data['frameMetadata'] = frame_metadata unless frame_metadata.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/frames' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, query_params: {'timescale' => timescale}, headers: request_headers.merge(custom_headers || {}), body: URI.encode_www_form(form_data), base_url: request_url } promise = @client.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 == 204 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? result end promise.execute end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param frame_image_zip Zip file containing frame images. @param frame_metadata [String] Metadata of the frame. @param timescale [Integer] Timescale of the video . @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1744 def add_video_frame_stream_with_http_info(content_type, team_name, review_id, frame_image_zip, frame_metadata, timescale:nil, custom_headers:nil) add_video_frame_stream_async(content_type, team_name, review_id, frame_image_zip, frame_metadata, timescale:timescale, custom_headers:custom_headers).value! end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param video_frame_body [Array<VideoFrameBodyItem>] Body for add video frames API @param timescale [Integer] Timescale of the video. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1590 def add_video_frame_url(content_type, team_name, review_id, video_frame_body, timescale:nil, custom_headers:nil) response = add_video_frame_url_async(content_type, team_name, review_id, video_frame_body, timescale:timescale, custom_headers:custom_headers).value! nil end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param video_frame_body [Array<VideoFrameBodyItem>] Body for add video frames API @param timescale [Integer] Timescale of the video. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1635 def add_video_frame_url_async(content_type, team_name, review_id, video_frame_body, timescale:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'content_type is nil' if content_type.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.nil? fail ArgumentError, 'video_frame_body is nil' if video_frame_body.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['Content-Type'] = content_type unless content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = { client_side_validation: true, required: true, serialized_name: 'videoFrameBody', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'VideoFrameBodyItemElementType', type: { name: 'Composite', class_name: 'VideoFrameBodyItem' } } } } request_content = @client.serialize(request_mapper, video_frame_body) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/frames' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, query_params: {'timescale' => timescale}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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 == 204 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? result end promise.execute end
Use this method to add frames for a video review.Timescale: This parameter is a factor which is used to convert the timestamp on a frame into milliseconds. Timescale is provided in the output of the Content Moderator video media processor on the Azure
Media Services platform.Timescale in the Video Moderation output is Ticks/Second.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param video_frame_body [Array<VideoFrameBodyItem>] Body for add video frames API @param timescale [Integer] Timescale of the video. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1613 def add_video_frame_url_with_http_info(content_type, team_name, review_id, video_frame_body, timescale:nil, custom_headers:nil) add_video_frame_url_async(content_type, team_name, review_id, video_frame_body, timescale:timescale, custom_headers:custom_headers).value! end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param timescale [Integer] Timescale of the video you are adding frames to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 786 def add_video_frame_with_http_info(team_name, review_id, timescale:nil, custom_headers:nil) add_video_frame_async(team_name, review_id, timescale:timescale, custom_headers:custom_headers).value! end
This API adds a transcript file (text version of all the words spoken in a video) to a video review. The file should be a valid WebVTT format.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param vttfile Transcript file of the video. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1263 def add_video_transcript(team_name, review_id, vttfile, custom_headers:nil) response = add_video_transcript_async(team_name, review_id, vttfile, custom_headers:custom_headers).value! nil end
This API adds a transcript file (text version of all the words spoken in a video) to a video review. The file should be a valid WebVTT format.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param vttfile Transcript file of the video. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1296 def add_video_transcript_async(team_name, review_id, vttfile, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.nil? content_type = 'text/plain' fail ArgumentError, 'vttfile is nil' if vttfile.nil? request_headers = {} request_headers['Content-Type'] = 'text/plain' # Set Headers request_headers['x-ms-client-request-id'] = SecureRandom.uuid request_headers['Content-Type'] = content_type unless content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = { client_side_validation: true, required: true, serialized_name: 'VTT file', type: { name: 'Stream' } } request_content = @client.serialize(request_mapper, vttfile) path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/transcript' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:put, 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 == 204 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? result end promise.execute end
This API adds a transcript screen text result file for a video review. Transcript screen text result file is a result of Screen Text API . In order to generate transcript screen text result file , a transcript file has to be screened for profanity using Screen Text API.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param transcript_moderation_body [Array<TranscriptModerationBodyItem>] Body for add video transcript moderation result API @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1143 def add_video_transcript_moderation_result(content_type, team_name, review_id, transcript_moderation_body, custom_headers:nil) response = add_video_transcript_moderation_result_async(content_type, team_name, review_id, transcript_moderation_body, custom_headers:custom_headers).value! nil end
This API adds a transcript screen text result file for a video review. Transcript screen text result file is a result of Screen Text API . In order to generate transcript screen text result file , a transcript file has to be screened for profanity using Screen Text API.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param transcript_moderation_body [Array<TranscriptModerationBodyItem>] Body for add video transcript moderation result API @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1184 def add_video_transcript_moderation_result_async(content_type, team_name, review_id, transcript_moderation_body, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'content_type is nil' if content_type.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.nil? fail ArgumentError, 'transcript_moderation_body is nil' if transcript_moderation_body.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['Content-Type'] = content_type unless content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = { client_side_validation: true, required: true, serialized_name: 'transcriptModerationBody', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'TranscriptModerationBodyItemElementType', type: { name: 'Composite', class_name: 'TranscriptModerationBodyItem' } } } } request_content = @client.serialize(request_mapper, transcript_moderation_body) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/transcriptmoderationresult' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:put, 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 == 204 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? result end promise.execute end
This API adds a transcript screen text result file for a video review. Transcript screen text result file is a result of Screen Text API . In order to generate transcript screen text result file , a transcript file has to be screened for profanity using Screen Text API.
@param content_type [String] The content type. @param team_name [String] Your team name. @param review_id [String] Id of the review. @param transcript_moderation_body [Array<TranscriptModerationBodyItem>] Body for add video transcript moderation result API @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1164 def add_video_transcript_moderation_result_with_http_info(content_type, team_name, review_id, transcript_moderation_body, custom_headers:nil) add_video_transcript_moderation_result_async(content_type, team_name, review_id, transcript_moderation_body, custom_headers:custom_headers).value! end
This API adds a transcript file (text version of all the words spoken in a video) to a video review. The file should be a valid WebVTT format.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param vttfile Transcript file of the video. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1280 def add_video_transcript_with_http_info(team_name, review_id, vttfile, custom_headers:nil) add_video_transcript_async(team_name, review_id, vttfile, custom_headers:custom_headers).value! end
A job Id will be returned for the content posted on this endpoint.
Once the content is evaluated against the Workflow provided the review will be created or ignored based on the workflow expression.
<h3>CallBack Schemas </h3>
<p> <h4>Job Completion CallBack Sample</h4><br/>
{<br/> “JobId”: “<Job Id>,<br/> ”ReviewId“: ”<Review Id, if the Job resulted in a Review to be created>“,<br/> ”WorkFlowId“: ”default“,<br/> ”Status“: ”<This will be one of Complete, InProgress, Error>“,<br/> ”ContentType“: ”Image“,<br/> ”ContentId“: ”<This is the ContentId that was specified on input>“,<br/> ”CallBackType“: ”Job“,<br/> ”Metadata“: {<br/> ”adultscore“: ”0.xxx“,<br/> ”a“: ”False“,<br/> ”racyscore“: ”0.xxx“,<br/> ”r“: ”True“<br/> }<br/> }<br/>
</p> <p> <h4>Review Completion CallBack Sample</h4><br/>
{ “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”, “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param content_type [Enum] Image, Text or Video. Possible values include: 'Image', 'Text', 'Video' @param content_id [String] Id/Name to identify the content submitted. @param workflow_name [String] Workflow Name that you want to invoke. @param job_content_type [Enum] The content type. Possible values include: 'application/json', 'image/jpeg' @param content [Content] Content to evaluate. @param call_back_endpoint [String] Callback endpoint for posting the create job result. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [JobId] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 502 def create_job(team_name, content_type, content_id, workflow_name, job_content_type, content, call_back_endpoint:nil, custom_headers:nil) response = create_job_async(team_name, content_type, content_id, workflow_name, job_content_type, content, call_back_endpoint:call_back_endpoint, custom_headers:custom_headers).value! response.body unless response.nil? end
A job Id will be returned for the content posted on this endpoint.
Once the content is evaluated against the Workflow provided the review will be created or ignored based on the workflow expression.
<h3>CallBack Schemas </h3>
<p> <h4>Job Completion CallBack Sample</h4><br/>
{<br/> “JobId”: “<Job Id>,<br/> ”ReviewId“: ”<Review Id, if the Job resulted in a Review to be created>“,<br/> ”WorkFlowId“: ”default“,<br/> ”Status“: ”<This will be one of Complete, InProgress, Error>“,<br/> ”ContentType“: ”Image“,<br/> ”ContentId“: ”<This is the ContentId that was specified on input>“,<br/> ”CallBackType“: ”Job“,<br/> ”Metadata“: {<br/> ”adultscore“: ”0.xxx“,<br/> ”a“: ”False“,<br/> ”racyscore“: ”0.xxx“,<br/> ”r“: ”True“<br/> }<br/> }<br/>
</p> <p> <h4>Review Completion CallBack Sample</h4><br/>
{ “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”, “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param content_type [Enum] Image, Text or Video. Possible values include: 'Image', 'Text', 'Video' @param content_id [String] Id/Name to identify the content submitted. @param workflow_name [String] Workflow Name that you want to invoke. @param job_content_type [Enum] The content type. Possible values include: 'application/json', 'image/jpeg' @param content [Content] Content to evaluate. @param call_back_endpoint [String] Callback endpoint for posting the create job result. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 645 def create_job_async(team_name, content_type, content_id, workflow_name, job_content_type, content, call_back_endpoint:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'content_type is nil' if content_type.nil? fail ArgumentError, 'content_id is nil' if content_id.nil? fail ArgumentError, 'workflow_name is nil' if workflow_name.nil? fail ArgumentError, 'job_content_type is nil' if job_content_type.nil? fail ArgumentError, 'content is nil' if content.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['Content-Type'] = job_content_type.to_s unless job_content_type.to_s.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = Azure::CognitiveServices::ContentModerator::V1_0::Models::Content.mapper() request_content = @client.serialize(request_mapper, content) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'contentmoderator/review/v1.0/teams/{teamName}/jobs' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name}, query_params: {'ContentType' => content_type,'ContentId' => content_id,'WorkflowName' => workflow_name,'CallBackEndpoint' => call_back_endpoint}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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::ContentModerator::V1_0::Models::JobId.mapper() result.body = @client.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
A job Id will be returned for the content posted on this endpoint.
Once the content is evaluated against the Workflow provided the review will be created or ignored based on the workflow expression.
<h3>CallBack Schemas </h3>
<p> <h4>Job Completion CallBack Sample</h4><br/>
{<br/> “JobId”: “<Job Id>,<br/> ”ReviewId“: ”<Review Id, if the Job resulted in a Review to be created>“,<br/> ”WorkFlowId“: ”default“,<br/> ”Status“: ”<This will be one of Complete, InProgress, Error>“,<br/> ”ContentType“: ”Image“,<br/> ”ContentId“: ”<This is the ContentId that was specified on input>“,<br/> ”CallBackType“: ”Job“,<br/> ”Metadata“: {<br/> ”adultscore“: ”0.xxx“,<br/> ”a“: ”False“,<br/> ”racyscore“: ”0.xxx“,<br/> ”r“: ”True“<br/> }<br/> }<br/>
</p> <p> <h4>Review Completion CallBack Sample</h4><br/>
{ “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”, “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param content_type [Enum] Image, Text or Video. Possible values include: 'Image', 'Text', 'Video' @param content_id [String] Id/Name to identify the content submitted. @param workflow_name [String] Workflow Name that you want to invoke. @param job_content_type [Enum] The content type. Possible values include: 'application/json', 'image/jpeg' @param content [Content] Content to evaluate. @param call_back_endpoint [String] Callback endpoint for posting the create job result. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 574 def create_job_with_http_info(team_name, content_type, content_id, workflow_name, job_content_type, content, call_back_endpoint:nil, custom_headers:nil) create_job_async(team_name, content_type, content_id, workflow_name, job_content_type, content, call_back_endpoint:call_back_endpoint, custom_headers:custom_headers).value! end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param url_content_type [String] The content type. @param team_name [String] Your team name. @param create_review_body [Array<CreateReviewBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Array] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 255 def create_reviews(url_content_type, team_name, create_review_body, sub_team:nil, custom_headers:nil) response = create_reviews_async(url_content_type, team_name, create_review_body, sub_team:sub_team, custom_headers:custom_headers).value! response.body unless response.nil? end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param url_content_type [String] The content type. @param team_name [String] Your team name. @param create_review_body [Array<CreateReviewBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 342 def create_reviews_async(url_content_type, team_name, create_review_body, sub_team:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'url_content_type is nil' if url_content_type.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'create_review_body is nil' if create_review_body.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['UrlContentType'] = url_content_type unless url_content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = { client_side_validation: true, required: true, serialized_name: 'createReviewBody', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'CreateReviewBodyItemElementType', type: { name: 'Composite', class_name: 'CreateReviewBodyItem' } } } } request_content = @client.serialize(request_mapper, create_review_body) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name}, query_params: {'subTeam' => sub_team}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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 = { client_side_validation: true, required: false, serialized_name: 'parsed_response', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'StringElementType', type: { name: 'String' } } } } result.body = @client.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
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param url_content_type [String] The content type. @param team_name [String] Your team name. @param create_review_body [Array<CreateReviewBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 299 def create_reviews_with_http_info(url_content_type, team_name, create_review_body, sub_team:nil, custom_headers:nil) create_reviews_async(url_content_type, team_name, create_review_body, sub_team:sub_team, custom_headers:custom_headers).value! end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param content_type [String] The content type. @param team_name [String] Your team name. @param create_video_reviews_body [Array<CreateVideoReviewsBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Array] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1393 def create_video_reviews(content_type, team_name, create_video_reviews_body, sub_team:nil, custom_headers:nil) response = create_video_reviews_async(content_type, team_name, create_video_reviews_body, sub_team:sub_team, custom_headers:custom_headers).value! response.body unless response.nil? end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param content_type [String] The content type. @param team_name [String] Your team name. @param create_video_reviews_body [Array<CreateVideoReviewsBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1480 def create_video_reviews_async(content_type, team_name, create_video_reviews_body, sub_team:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'content_type is nil' if content_type.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'create_video_reviews_body is nil' if create_video_reviews_body.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['Content-Type'] = content_type unless content_type.nil? request_headers['accept-language'] = @client.accept_language unless @client.accept_language.nil? # Serialize Request request_mapper = { client_side_validation: true, required: true, serialized_name: 'CreateVideoReviewsBody', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'CreateVideoReviewsBodyItemElementType', type: { name: 'Composite', class_name: 'CreateVideoReviewsBodyItem' } } } } request_content = @client.serialize(request_mapper, create_video_reviews_body) request_content = request_content != nil ? JSON.generate(request_content, quirks_mode: true) : nil path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name}, query_params: {'subTeam' => sub_team}, body: request_content, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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 = { client_side_validation: true, required: false, serialized_name: 'parsed_response', type: { name: 'Sequence', element: { client_side_validation: true, required: false, serialized_name: 'StringElementType', type: { name: 'String' } } } } result.body = @client.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
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param content_type [String] The content type. @param team_name [String] Your team name. @param create_video_reviews_body [Array<CreateVideoReviewsBodyItem>] Body for create reviews API @param sub_team [String] SubTeam of your team, you want to assign the created review to. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1437 def create_video_reviews_with_http_info(content_type, team_name, create_video_reviews_body, sub_team:nil, custom_headers:nil) create_video_reviews_async(content_type, team_name, create_video_reviews_body, sub_team:sub_team, custom_headers:custom_headers).value! end
Get the Job Details for a Job Id.
@param team_name [String] Your Team Name. @param job_id [String] Id of the job. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Job] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 135 def get_job_details(team_name, job_id, custom_headers:nil) response = get_job_details_async(team_name, job_id, custom_headers:custom_headers).value! response.body unless response.nil? end
Get the Job Details for a Job Id.
@param team_name [String] Your Team Name. @param job_id [String] Id of the job. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 164 def get_job_details_async(team_name, job_id, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'job_id is nil' if job_id.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'] = @client.accept_language unless @client.accept_language.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/jobs/{JobId}' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'JobId' => job_id}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:get, 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::ContentModerator::V1_0::Models::Job.mapper() result.body = @client.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
Get the Job Details for a Job Id.
@param team_name [String] Your Team Name. @param job_id [String] Id of the job. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 150 def get_job_details_with_http_info(team_name, job_id, custom_headers:nil) get_job_details_async(team_name, job_id, custom_headers:custom_headers).value! end
Returns review details for the review Id passed.
@param team_name [String] Your Team Name. @param review_id [String] Id of the review. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Review] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 44 def get_review(team_name, review_id, custom_headers:nil) response = get_review_async(team_name, review_id, custom_headers:custom_headers).value! response.body unless response.nil? end
Returns review details for the review Id passed.
@param team_name [String] Your Team Name. @param review_id [String] Id of the review. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 73 def get_review_async(team_name, review_id, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.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'] = @client.accept_language unless @client.accept_language.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:get, 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::ContentModerator::V1_0::Models::Review.mapper() result.body = @client.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
Returns review details for the review Id passed.
@param team_name [String] Your Team Name. @param review_id [String] Id of the review. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 59 def get_review_with_http_info(team_name, review_id, custom_headers:nil) get_review_async(team_name, review_id, custom_headers:custom_headers).value! end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param start_seed [Integer] Time stamp of the frame from where you want to start fetching the frames. @param no_of_records [Integer] Number of frames to fetch. @param filter [String] Get frames filtered by tags. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Frames] operation results.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 908 def get_video_frames(team_name, review_id, start_seed:nil, no_of_records:nil, filter:nil, custom_headers:nil) response = get_video_frames_async(team_name, review_id, start_seed:start_seed, no_of_records:no_of_records, filter:filter, custom_headers:custom_headers).value! response.body unless response.nil? end
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param start_seed [Integer] Time stamp of the frame from where you want to start fetching the frames. @param no_of_records [Integer] Number of frames to fetch. @param filter [String] Get frames filtered by tags. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 995 def get_video_frames_async(team_name, review_id, start_seed:nil, no_of_records:nil, filter:nil, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.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'] = @client.accept_language unless @client.accept_language.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/frames' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, query_params: {'startSeed' => start_seed,'noOfRecords' => no_of_records,'filter' => filter}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.make_request_async(:get, 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::ContentModerator::V1_0::Models::Frames.mapper() result.body = @client.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
The reviews created would show up for Reviewers on your team. As Reviewers complete reviewing, results of the Review would be POSTED (i.e. HTTP POST) on the specified CallBackEndpoint.
<h3>CallBack Schemas </h3> <h4>Review Completion CallBack Sample</h4> <p> {<br/> “ReviewId”: “<Review Id>”,<br/> “ModifiedOn”: “2016-10-11T22:36:32.9934851Z”,<br/> “ModifiedBy”: “<Name of the Reviewer>”,<br/> “CallBackType”: “Review”,<br/> “ContentId”: “<The ContentId that was specified input>”,<br/> “Metadata”: {<br/> “adultscore”: “0.xxx”,<br/> “a”: “False”,<br/> “racyscore”: “0.xxx”,<br/> “r”: “True”<br/> },<br/> “ReviewerResultTags”: {<br/> “a”: “False”,<br/> “r”: “True”<br/> }<br/> }<br/>
</p>.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param start_seed [Integer] Time stamp of the frame from where you want to start fetching the frames. @param no_of_records [Integer] Number of frames to fetch. @param filter [String] Get frames filtered by tags. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 952 def get_video_frames_with_http_info(team_name, review_id, start_seed:nil, no_of_records:nil, filter:nil, custom_headers:nil) get_video_frames_async(team_name, review_id, start_seed:start_seed, no_of_records:no_of_records, filter:filter, custom_headers:custom_headers).value! end
Publish video review to make it available for review.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1057 def publish_video_review(team_name, review_id, custom_headers:nil) response = publish_video_review_async(team_name, review_id, custom_headers:custom_headers).value! nil end
Publish video review to make it available for review.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [Concurrent::Promise] Promise object which holds the HTTP response.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1086 def publish_video_review_async(team_name, review_id, custom_headers:nil) fail ArgumentError, '@client.endpoint is nil' if @client.endpoint.nil? fail ArgumentError, 'team_name is nil' if team_name.nil? fail ArgumentError, 'review_id is nil' if review_id.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'] = @client.accept_language unless @client.accept_language.nil? path_template = 'contentmoderator/review/v1.0/teams/{teamName}/reviews/{reviewId}/publish' request_url = @base_url || @client.base_url request_url = request_url.gsub('{Endpoint}', @client.endpoint) options = { middlewares: [[MsRest::RetryPolicyMiddleware, times: 3, retry: 0.02], [:cookie_jar]], path_params: {'teamName' => team_name,'reviewId' => review_id}, headers: request_headers.merge(custom_headers || {}), base_url: request_url } promise = @client.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 == 204 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? result end promise.execute end
Publish video review to make it available for review.
@param team_name [String] Your team name. @param review_id [String] Id of the review. @param custom_headers [Hash{String => String}] A hash of custom headers that will be added to the HTTP request.
@return [MsRestAzure::AzureOperationResponse] HTTP response information.
# File lib/1.0/generated/azure_cognitiveservices_contentmoderator/reviews.rb, line 1072 def publish_video_review_with_http_info(team_name, review_id, custom_headers:nil) publish_video_review_async(team_name, review_id, custom_headers:custom_headers).value! end