Struct StartCallAnalyticsJobInput

#[non_exhaustive]
pub struct StartCallAnalyticsJobInput {
    pub call_analytics_job_name: Option<String>,
    pub media: Option<Media>,
    pub output_location: Option<String>,
    pub output_encryption_kms_key_id: Option<String>,
    pub data_access_role_arn: Option<String>,
    pub settings: Option<CallAnalyticsJobSettings>,
    pub tags: Option<Vec<Tag>>,
    pub channel_definitions: Option<Vec<ChannelDefinition>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

call_analytics_job_name: Option<String>

A unique name, chosen by you, for your Call Analytics job.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

media: Option<Media>

Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.

output_location: Option<String>

The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:

1. s3://DOC-EXAMPLE-BUCKET

2. s3://DOC-EXAMPLE-BUCKET/my-output-folder/

3. s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json

Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the CallAnalyticsJobName parameter.

You can specify a KMS key to encrypt your output using the OutputEncryptionKMSKeyId parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption.

If you do not specify OutputLocation, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.

output_encryption_kms_key_id: Option<String>

The KMS key you want to use to encrypt your Call Analytics output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.

2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.

3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.

4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.

2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the role making the request must have permission to use the specified KMS key.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

settings: Option<CallAnalyticsJobSettings>

Specify additional optional settings in your request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.

tags: Option<Vec<Tag>>

Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

channel_definitions: Option<Vec<ChannelDefinition>>

Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set ChannelId to 0 (to indicate the first channel) and ParticipantRole to AGENT (to indicate that it's the agent speaking).

Implementations

impl StartCallAnalyticsJobInput

pub fn call_analytics_job_name(&self) -> Option<&str>

A unique name, chosen by you, for your Call Analytics job.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

pub fn media(&self) -> Option<&Media>

Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.

pub fn output_location(&self) -> Option<&str>

The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:

1. s3://DOC-EXAMPLE-BUCKET

2. s3://DOC-EXAMPLE-BUCKET/my-output-folder/

3. s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json

Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the CallAnalyticsJobName parameter.

You can specify a KMS key to encrypt your output using the OutputEncryptionKMSKeyId parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption.

If you do not specify OutputLocation, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.

pub fn output_encryption_kms_key_id(&self) -> Option<&str>

The KMS key you want to use to encrypt your Call Analytics output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.

2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.

3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.

4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.

2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the role making the request must have permission to use the specified KMS key.

pub fn data_access_role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

pub fn settings(&self) -> Option<&CallAnalyticsJobSettings>

Specify additional optional settings in your request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.

pub fn tags(&self) -> &[Tag]

Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().

pub fn channel_definitions(&self) -> &[ChannelDefinition]

Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set ChannelId to 0 (to indicate the first channel) and ParticipantRole to AGENT (to indicate that it's the agent speaking).

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .channel_definitions.is_none().

impl StartCallAnalyticsJobInput

pub fn builder() -> StartCallAnalyticsJobInputBuilder

Creates a new builder-style object to manufacture StartCallAnalyticsJobInput.

Trait Implementations

impl Clone for StartCallAnalyticsJobInput

fn clone(&self) -> StartCallAnalyticsJobInput

Returns a duplicate of the value.

const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StartCallAnalyticsJobInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for StartCallAnalyticsJobInput

fn eq(&self, other: &StartCallAnalyticsJobInput) -> bool

Tests for self and other values to be equal, and is used by ==.

const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for StartCallAnalyticsJobInput