getContentModeration method
- required String jobId,
- int? maxResults,
- String? nextToken,
- ContentModerationSortBy? sortBy,
Gets the unsafe content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration.
Unsafe content analysis of a video is an asynchronous operation. You start
analysis by calling StartContentModeration which returns a job
identifier (JobId
). When analysis finishes, Amazon
Rekognition Video publishes a completion status to the Amazon Simple
Notification Service topic registered in the initial call to
StartContentModeration
. To get the results of the unsafe
content analysis, first check that the status value published to the
Amazon SNS topic is SUCCEEDED
. If so, call
GetContentModeration
and pass the job identifier
(JobId
) from the initial call to
StartContentModeration
.
For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide.
GetContentModeration
returns detected unsafe content labels,
and the time they are detected, in an array,
ModerationLabels
, of ContentModerationDetection
objects.
By default, the moderated labels are returned sorted by time, in
milliseconds from the start of the video. You can also sort them by
moderated label by specifying NAME
for the
SortBy
input parameter.
Since video analysis can return a large number of results, use the
MaxResults
parameter to limit the number of labels returned
in a single call to GetContentModeration
. If there are more
results than specified in MaxResults
, the value of
NextToken
in the operation response contains a pagination
token for getting the next set of results. To get the next page of
results, call GetContentModeration
and populate the
NextToken
request parameter with the value of
NextToken
returned from the previous call to
GetContentModeration
.
For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.
May throw AccessDeniedException. May throw InternalServerError. May throw InvalidParameterException. May throw InvalidPaginationTokenException. May throw ProvisionedThroughputExceededException. May throw ResourceNotFoundException. May throw ThrottlingException.
Parameter jobId
:
The identifier for the unsafe content job. Use JobId
to
identify the job in a subsequent call to
GetContentModeration
.
Parameter maxResults
:
Maximum number of results to return per paginated call. The largest value
you can specify is 1000. If you specify a value greater than 1000, a
maximum of 1000 results is returned. The default value is 1000.
Parameter nextToken
:
If the previous response was incomplete (because there is more data to
retrieve), Amazon Rekognition returns a pagination token in the response.
You can use this pagination token to retrieve the next set of unsafe
content labels.
Parameter sortBy
:
Sort to use for elements in the ModerationLabelDetections
array. Use TIMESTAMP
to sort array elements by the time
labels are detected. Use NAME
to alphabetically group
elements for a label together. Within each label group, the array element
are sorted by detection confidence. The default sort is by
TIMESTAMP
.
Implementation
Future<GetContentModerationResponse> getContentModeration({
required String jobId,
int? maxResults,
String? nextToken,
ContentModerationSortBy? sortBy,
}) async {
ArgumentError.checkNotNull(jobId, 'jobId');
_s.validateStringLength(
'jobId',
jobId,
1,
64,
isRequired: true,
);
_s.validateNumRange(
'maxResults',
maxResults,
1,
1152921504606846976,
);
_s.validateStringLength(
'nextToken',
nextToken,
0,
255,
);
final headers = <String, String>{
'Content-Type': 'application/x-amz-json-1.1',
'X-Amz-Target': 'RekognitionService.GetContentModeration'
};
final jsonResponse = await _protocol.send(
method: 'POST',
requestUri: '/',
exceptionFnMap: _exceptionFns,
// TODO queryParams
headers: headers,
payload: {
'JobId': jobId,
if (maxResults != null) 'MaxResults': maxResults,
if (nextToken != null) 'NextToken': nextToken,
if (sortBy != null) 'SortBy': sortBy.toValue(),
},
);
return GetContentModerationResponse.fromJson(jsonResponse.body);
}