Channel

class aws_cdk.aws_medialive_alpha.Channel(scope, id, *, inputs, output_groups, anywhere_settings=None, avail_blanking=None, avail_settings=None, blackout_slate=None, channel_class=None, channel_engine_version=None, channel_name=None, channel_security_groups=None, color_corrections=None, feature_activations=None, global_configuration=None, inference_feed_arn=None, input_specification=None, linked_channel_settings=None, log_level=None, maintenance=None, motion_graphics_configuration=None, nielsen_configuration=None, role=None, scte35_segmentation_scope=None, tags=None, thumbnail_configuration=None, timecode_config=None, vpc=None)

Bases: Resource

(experimental) Defines an AWS Elemental MediaLive Channel.

Stability:

experimental

ExampleMetadata:

infused

Example:

# stack: Stack
# input: medialive.IInput
# bucket: s3.IBucket
# video: medialive.EncodeConfiguration


medialive.Channel(stack, "Channel",
    inputs=[medialive.InputAttachment(
        input=input,
        audio_selectors=[
            medialive.AudioSelector.by_language("eng", "eng", medialive.AudioLanguageSelectionPolicy.STRICT)
        ],
        caption_selectors=[
            medialive.CaptionSelector.embedded("embedded")
        ],
        video_selector=medialive.VideoSelectorSettings(
            color_space=medialive.VideoColorSpace.HDR10,
            color_space_usage=medialive.VideoColorSpaceUsage.FORCE,
            select_by=medialive.VideoSelection.by_program_id(1)
        )
    )],
    output_groups=[
        medialive.OutputGroupConfiguration.hls(
            name="hls",
            destinations=[medialive.OutputDestination.to_bucket(bucket, "live/stream")],
            outputs=[medialive.HlsOutputDefinition(encodes=[video], output_name="hls_out")]
        )
    ]
)
Parameters:
  • scope (Construct)

  • id (str)

  • inputs (Sequence[Union[InputAttachment, Dict[str, Any]]]) – (experimental) The input attachments for this channel. At least one is required. Additional inputs can be added with addInput().

  • output_groups (Sequence[OutputGroupConfiguration]) – (experimental) The initial output groups for this channel. At least one is required. Additional output groups can be added with addOutputGroup(). A single channel can contain multiple output groups with different codecs (e.g. H.264 and H.265 ladders) sharing the same input.

  • anywhere_settings (Union[AnywhereSettings, Dict[str, Any], None]) – (experimental) Anywhere settings for running the channel on AWS Elemental Anywhere. Default: - not an Anywhere channel

  • avail_blanking (Union[AvailBlanking, Dict[str, Any], None]) – (experimental) Settings for blanking video, audio, and captions during ad avails. Default: - avail blanking disabled

  • avail_settings (Optional[AvailSettings]) – (experimental) Ad avail handling configuration. Defines how SCTE-35 markers are processed. Default: - no avail configuration

  • blackout_slate (Union[BlackoutSlate, Dict[str, Any], None]) – (experimental) Blackout slate configuration. Controls what is displayed during blackout events. Default: - blackout slate disabled

  • channel_class (Optional[ChannelClass]) – (experimental) The class of the channel (STANDARD for redundancy, SINGLE_PIPELINE for cost savings). Default: ChannelClass.SINGLE_PIPELINE

  • channel_engine_version (Optional[str]) – (experimental) The engine version for the channel. Default: - service default

  • channel_name (Optional[str]) – (experimental) The name of the channel. Default: - auto-generated

  • channel_security_groups (Optional[Sequence[IInputSecurityGroupRef]]) – (experimental) Input security groups to associate with the channel. Controls which IP addresses can connect to the channel’s outputs (pull-style outputs where downstream systems initiate connections). Default: - no channel security groups

  • color_corrections (Optional[Sequence[Union[ColorCorrection, Dict[str, Any]]]]) – (experimental) Global color correction rules applied to all outputs. Default: - no color corrections

  • feature_activations (Union[FeatureActivations, Dict[str, Any], None]) – (experimental) Feature activations for the channel (e.g. Input Prepare schedule actions). Default: - all features disabled

  • global_configuration (Union[GlobalConfiguration, Dict[str, Any], None]) – (experimental) Global configuration settings for the channel. Default: - default global configuration

  • inference_feed_arn (Optional[str]) – (experimental) An AWS Elemental Inference feed to send this channel’s media to for inference processing. Future breaking change: this will change when Elemental Inference is released as an L2 construct. Default: - the channel is not associated to an inference feed

  • input_specification (Optional[InputSpecification]) – (experimental) The input specification for this channel. Defines the expected codec, bitrate, and resolution of the inputs, and whether they are standard, CDI, or Elemental Link inputs. Default: - InputSpecification.standard() (AVC codec, 20 Mbps max, HD resolution)

  • linked_channel_settings (Optional[LinkedChannelSettings]) – (experimental) Linked channel settings for primary/follower channel configurations. Default: - not a linked channel

  • log_level (Optional[LogLevel]) – (experimental) The log level for the channel. Default: LogLevel.DISABLED

  • maintenance (Union[MaintenanceSettings, Dict[str, Any], None]) – (experimental) Maintenance window configuration for the channel. Default: - default maintenance window

  • motion_graphics_configuration (Union[MotionGraphicsConfiguration, Dict[str, Any], None]) – (experimental) Motion graphics overlay configuration. Default: - motion graphics disabled

  • nielsen_configuration (Union[NielsenConfiguration, Dict[str, Any], None]) – (experimental) Nielsen watermark configuration. Default: - no Nielsen configuration

  • role (Optional[IRole]) – (experimental) The IAM role for MediaLive to assume when running this channel. [disable-awslint:prefer-ref-interface] Default: - a role is auto-created with confused-deputy prevention

  • scte35_segmentation_scope (Optional[Scte35SegmentationScope]) – (experimental) Which output groups receive SCTE-35 segmentation cues. Default: - service default

  • tags (Optional[Mapping[str, str]]) – (experimental) Tags to add to the channel. Default: - no tags

  • thumbnail_configuration (Union[ThumbnailConfiguration, Dict[str, Any], None]) – (experimental) Thumbnail generation configuration. Default: - thumbnails disabled

  • timecode_config (Union[TimecodeConfig, Dict[str, Any], None]) – (experimental) Timecode configuration for the channel. Default: - EMBEDDED source, no sync threshold

  • vpc (Union[VpcOutputSettings, Dict[str, Any], None]) – (experimental) VPC output settings. When set, all output endpoints are created in the specified VPC. Default: - no VPC (outputs use public endpoints)

Stability:

experimental

Methods

add_input(*, input, audio_selectors=None, automatic_input_failover=None, caption_selectors=None, deblock_filter=None, denoise_filter=None, filter_strength=None, input_attachment_name=None, input_filter=None, logical_interface_names=None, network_input_settings=None, scte35_pid=None, smpte2038_data_preference=None, source_end_behavior=None, video_selector=None)

(experimental) Attach an input to this channel.

Parameters:
  • input (IInput) – (experimental) The input to attach. [disable-awslint:prefer-ref-interface]

  • audio_selectors (Optional[Sequence[AudioSelector]]) – (experimental) Audio selectors to extract specific audio tracks from the input. Default: - no audio selectors (uses default audio)

  • automatic_input_failover (Union[AutomaticInputFailover, Dict[str, Any], None]) – (experimental) Automatic input failover to a secondary input. When the active input meets any of the failover conditions, MediaLive switches to the secondary input without restarting the channel. This is input-source redundancy, distinct from the pipeline redundancy of ChannelClass.STANDARD. Default: - no automatic input failover

  • caption_selectors (Optional[Sequence[CaptionSelector]]) – (experimental) Caption selectors to extract specific caption tracks from the input. Default: - no caption selectors

  • deblock_filter (Optional[bool]) – (experimental) Whether to enable the deblock filter. Default: false

  • denoise_filter (Optional[bool]) – (experimental) Whether to enable the denoise filter. Default: false

  • filter_strength (Union[int, float, None]) – (experimental) The filter strength (1-5). 1 is minimal, 5 is strongest. Default: 1

  • input_attachment_name (Optional[str]) – (experimental) A name for this input attachment, used to reference it in schedule actions. Default: - auto-generated

  • input_filter (Optional[InputFilter]) – (experimental) The input filter mode. Default: InputFilter.AUTO

  • logical_interface_names (Optional[Sequence[str]]) – (experimental) The logical interface names (MediaLive Anywhere) this input is wired to. Each name maps the input to a network interface on the channel’s nodes. Default: - no logical interface names

  • network_input_settings (Union[NetworkInputSettings, Dict[str, Any], None]) – (experimental) Network input settings (for URL pull inputs — HLS buffer, server validation). Default: - no network input settings

  • scte35_pid (Union[int, float, None]) – (experimental) The SCTE-35 PID override for this input. Default: - auto-detect

  • smpte2038_data_preference (Optional[Smpte2038DataPreference]) – (experimental) SMPTE-2038 ancillary data preference. Default: Smpte2038DataPreference.IGNORE

  • source_end_behavior (Optional[SourceEndBehavior]) – (experimental) The source end behavior for file-based inputs. Default: SourceEndBehavior.LOOP for MP4 and TS file inputs, SourceEndBehavior.CONTINUE for all others

  • video_selector (Union[VideoSelectorSettings, Dict[str, Any], None]) – (experimental) Video selector settings for the input (color space, PID selection). Default: - no video selector (use default video)

Stability:

experimental

Return type:

None

add_output_group(config)

(experimental) Add an output group to this channel.

Outputs are declared up front via the outputs prop on the group configuration.

Parameters:

config (OutputGroupConfiguration)

Stability:

experimental

Return type:

None

apply_cross_stack_reference_strength(strength)

Override the cross-stack reference strength for this resource.

When set, any cross-stack reference to this resource will use the specified mechanism instead of the global default determined by the @aws-cdk/core:defaultCrossStackReferences context key. This is useful for selectively weakening specific references to avoid the “deadly embrace” problem without changing the app-wide default.

Parameters:

strength (ReferenceStrength) –

  • The reference strength to use for this resource.

Return type:

None

apply_removal_policy(policy)

Apply the given removal policy to this resource.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:

policy (RemovalPolicy)

Return type:

None

metric(metric_name, pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Create a CloudWatch metric for this channel scoped to a specific pipeline.

Channel metrics are published per-pipeline. STANDARD channels run two redundant pipelines (PIPELINE_0 and PIPELINE_1); to cover both, build a metric for each. SINGLE_PIPELINE channels only publish on PIPELINE_0. See the {@link https://docs.aws.amazon.com/medialive/latest/ug/monitoring-eml-metrics.html MediaLive metrics docs} for the full set of metric names and recommended statistics.

Parameters:
  • metric_name (str)

  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_active_alerts(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for the total number of active alerts on this channel.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_dropped_frames(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for dropped frames.

A non-zero value indicates the encoder cannot keep up with the incoming video in real time.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_fill_msec(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for fill milliseconds — the time MediaLive has filled the video output with fill frames because the input did not deliver content within the expected window.

A non-zero value indicates an unhealthy input.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_input_loss_seconds(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for input loss seconds (RTP and MediaConnect inputs only).

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_input_video_frame_rate(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for the input video frame rate (frames per second).

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_network_in(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for the rate of inbound network traffic to MediaLive in Mbps.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_network_out(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for the rate of outbound network traffic from MediaLive in Mbps.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_svq_time(pipeline, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Metric for SVQ time (speed-vs-quality), expressed as a percent.

Indicates the share of time MediaLive reduced quality optimisations to keep up with real-time output.

Parameters:
  • pipeline (Pipeline)

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.

  • stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

  • visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

to_string()

Returns a string representation of this construct.

Return type:

str

with_(*mixins)

Applies one or more mixins to this construct.

Mixins are applied in order. The list of constructs is captured at the start of the call, so constructs added by a mixin will not be visited. Use multiple with() calls if subsequent mixins should apply to added constructs.

Parameters:

mixins (IMixin)

Return type:

IConstruct

Attributes

PROPERTY_INJECTION_ID = '@aws-cdk.aws-medialive-alpha.Channel'
channel_arn

(experimental) The ARN of the channel.

Stability:

experimental

channel_id

(experimental) The ID of the channel.

Stability:

experimental

channel_inputs

(experimental) The IDs of the inputs attached to this channel.

Stability:

experimental

channel_ref

(experimental) A reference to this Channel resource.

Stability:

experimental

env

The environment this resource belongs to.

For resources that are created and managed in a Stack (those created by creating new class instances like new Role(), new Bucket(), etc.), this is always the same as the environment of the stack they belong to.

For referenced resources (those obtained from referencing methods like Role.fromRoleArn(), Bucket.fromBucketName(), etc.), they might be different than the stack they were imported into.

grants

(experimental) Collection of grant methods for this channel — start, stop, and update its schedule.

Stability:

experimental

node

The tree node.

role

(experimental) The IAM role used by this channel.

Stability:

experimental

stack

The stack in which this resource is defined.

Static Methods

classmethod from_channel_arn(scope, id, channel_arn)

(experimental) Import an existing channel by its ARN.

The id is parsed out of the ARN.

Parameters:
  • scope (Construct)

  • id (str)

  • channel_arn (str)

Stability:

experimental

Return type:

IChannel

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:

x (Any) – Any object.

Return type:

bool

Returns:

true if x is an object created from a class which extends Construct.

classmethod is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:

construct (IConstruct)

Return type:

bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:

construct (IConstruct)

Return type:

bool