Comprehend / Client / list_events_detection_jobs
list_events_detection_jobs#
- Comprehend.Client.list_events_detection_jobs(**kwargs)#
Gets a list of the events detection jobs that you have submitted.
See also: AWS API Documentation
Request Syntax
response = client.list_events_detection_jobs( Filter={ 'JobName': 'string', 'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'FAILED'|'STOP_REQUESTED'|'STOPPED', 'SubmitTimeBefore': datetime(2015, 1, 1), 'SubmitTimeAfter': datetime(2015, 1, 1) }, NextToken='string', MaxResults=123 )
- Parameters:
Filter (dict) –
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
JobName (string) –
Filters on the name of the events detection job.
JobStatus (string) –
Filters the list of jobs based on job status. Returns only jobs with the specified status.
SubmitTimeBefore (datetime) –
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
SubmitTimeAfter (datetime) –
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
NextToken (string) – Identifies the next page of results to return.
MaxResults (integer) – The maximum number of results to return in each page.
- Return type:
dict
- Returns:
Response Syntax
{ 'EventsDetectionJobPropertiesList': [ { 'JobId': 'string', 'JobArn': 'string', 'JobName': 'string', 'JobStatus': 'SUBMITTED'|'IN_PROGRESS'|'COMPLETED'|'FAILED'|'STOP_REQUESTED'|'STOPPED', 'Message': 'string', 'SubmitTime': datetime(2015, 1, 1), 'EndTime': datetime(2015, 1, 1), 'InputDataConfig': { 'S3Uri': 'string', 'InputFormat': 'ONE_DOC_PER_FILE'|'ONE_DOC_PER_LINE', 'DocumentReaderConfig': { 'DocumentReadAction': 'TEXTRACT_DETECT_DOCUMENT_TEXT'|'TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode': 'SERVICE_DEFAULT'|'FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes': [ 'TABLES'|'FORMS', ] } }, 'OutputDataConfig': { 'S3Uri': 'string', 'KmsKeyId': 'string' }, 'LanguageCode': 'en'|'es'|'fr'|'de'|'it'|'pt'|'ar'|'hi'|'ja'|'ko'|'zh'|'zh-TW', 'DataAccessRoleArn': 'string', 'TargetEventTypes': [ 'string', ] }, ], 'NextToken': 'string' }
Response Structure
(dict) –
EventsDetectionJobPropertiesList (list) –
A list containing the properties of each job that is returned.
(dict) –
Provides information about an events detection job.
JobId (string) –
The identifier assigned to the events detection job.
JobArn (string) –
The Amazon Resource Name (ARN) of the events detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:events-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab
JobName (string) –
The name you assigned the events detection job.
JobStatus (string) –
The current status of the events detection job.
Message (string) –
A description of the status of the events detection job.
SubmitTime (datetime) –
The time that the events detection job was submitted for processing.
EndTime (datetime) –
The time that the events detection job completed.
InputDataConfig (dict) –
The input data configuration that you supplied when you created the events detection job.
S3Uri (string) –
The Amazon S3 URI for the input data. The URI must be in same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.
For example, if you use the URI
S3://bucketName/prefix
, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.InputFormat (string) –
Specifies how the text in an input file should be processed:
ONE_DOC_PER_FILE
- Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.ONE_DOC_PER_LINE
- Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
DocumentReaderConfig (dict) –
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
DocumentReadAction (string) –
This field defines the Amazon Textract API operation that Amazon Comprehend uses to extract text from PDF files and image files. Enter one of the following values:
TEXTRACT_DETECT_DOCUMENT_TEXT
- The Amazon Comprehend service uses theDetectDocumentText
API operation.TEXTRACT_ANALYZE_DOCUMENT
- The Amazon Comprehend service uses theAnalyzeDocument
API operation.
DocumentReadMode (string) –
Determines the text extraction actions for PDF files. Enter one of the following values:
SERVICE_DEFAULT
- use the Amazon Comprehend service defaults for PDF files.FORCE_DOCUMENT_READ_ACTION
- Amazon Comprehend uses the Textract API specified by DocumentReadAction for all PDF files, including digital PDF files.
FeatureTypes (list) –
Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT
as the read action, you must specify one or both of the following values:TABLES
- Returns information about any tables that are detected in the input document.FORMS
- Returns information and the data from any forms that are detected in the input document.
(string) –
Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT
as the read action, you must specify one or both of the following values:TABLES
- Returns additional information about any tables that are detected in the input document.FORMS
- Returns additional information about any forms that are detected in the input document.
OutputDataConfig (dict) –
The output data configuration that you supplied when you created the events detection job.
S3Uri (string) –
When you use the
OutputDataConfig
object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same Region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.When the topic detection job is finished, the service creates an output file in a directory specific to the job. The
S3Uri
field contains the location of the output file, calledoutput.tar.gz
. It is a compressed archive that contains the ouput of the operation.For a PII entity detection job, the output file is plain text, not a compressed archive. The output file name is the same as the input file, with
.out
appended at the end.KmsKeyId (string) –
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS Key Alias:
"alias/ExampleAlias"
ARN of a KMS Key Alias:
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
LanguageCode (string) –
The language code of the input documents.
DataAccessRoleArn (string) –
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
TargetEventTypes (list) –
The types of events that are detected by the job.
(string) –
NextToken (string) –
Identifies the next page of results to return.
Exceptions
Comprehend.Client.exceptions.InvalidRequestException
Comprehend.Client.exceptions.TooManyRequestsException
Comprehend.Client.exceptions.InvalidFilterException
Comprehend.Client.exceptions.InternalServerException