Agile Content

• 1: Agile Live
• 1.1: Overview
• 1.2: Introduction to Agile Live technology
• 1.3: Installation and configuration
• 1.3.1: Hardware examples
• 1.3.2: The System Controller
• 1.3.3: The base platform
• 1.3.3.1: NTP
• 1.3.3.2: Linux settings
• 1.3.3.3: Disabling unattended upgrades of CUDA toolkit
• 1.3.3.4: Installing older releases
• 1.3.4: Configuration and monitoring GUI
• 1.3.4.1: Custom MongoDB installation
• 1.3.5: Prometheus and Grafana for monitoring
• 1.3.6: Control panel GUI examples
• 1.4: Tutorials and How-To's
• 1.4.1: Getting Started
• 1.4.2: Using the configuration-and-monitoring GUI
• 1.4.3: Viewing the multiview and outputs
• 1.4.4: Creating a video mixer control panel in Companion
• 1.4.5: Using the audio control GUI
• 1.4.6: Setting up multi-view outputs using the REST API
• 1.4.7: Security in Agile Live
• 1.4.8: Statistics in Agile Live
• 1.4.9: Using Media Player metadata in HTML pages
• 1.5: Releases
• 1.5.1: Release 6.0.0
• 1.5.2: Release 5.0.0
• 1.5.3: Release 4.0.0
• 1.5.4: Release 3.0.0
• 1.5.5: Release 2.0.0
• 1.5.6: Release 1.0.0
• 1.5.7: Upgrade instructions
• 1.6: Reference
• 1.6.1: Agile Live 6.0.0 developer reference
• 1.6.1.1: REST API v2
• 1.6.1.2: Agile Live Rendering Engine command documentation
• 1.6.1.3: C++ SDK
• 1.6.1.3.1: Classes
• 1.6.1.3.1.1: AclLog::CommandLogFormatter
• 1.6.1.3.1.2: AclLog::FileLocationFormatterFlag
• 1.6.1.3.1.3: AclLog::ThreadNameFormatterFlag
• 1.6.1.3.1.4: AlignedAudioFrame
• 1.6.1.3.1.5: AlignedFrame
• 1.6.1.3.1.6: ControlDataCommon::ConnectionStatus
• 1.6.1.3.1.7: ControlDataCommon::Response
• 1.6.1.3.1.8: ControlDataCommon::StatusMessage
• 1.6.1.3.1.9: ControlDataReceiver
• 1.6.1.3.1.10: ControlDataReceiver::IncomingRequest
• 1.6.1.3.1.11: ControlDataReceiver::ReceiverResponse
• 1.6.1.3.1.12: ControlDataReceiver::Settings
• 1.6.1.3.1.13: ControlDataSender
• 1.6.1.3.1.14: ControlDataSender::Settings
• 1.6.1.3.1.15: DeviceMemory
• 1.6.1.3.1.16: IngestApplication
• 1.6.1.3.1.17: IngestApplication::Settings
• 1.6.1.3.1.18: ISystemControllerInterface
• 1.6.1.3.1.19: ISystemControllerInterface::Callbacks
• 1.6.1.3.1.20: ISystemControllerInterface::Response
• 1.6.1.3.1.21: MediaReceiver
• 1.6.1.3.1.22: MediaReceiver::NewStreamParameters
• 1.6.1.3.1.23: MediaReceiver::Settings
• 1.6.1.3.1.24: MediaStreamer
• 1.6.1.3.1.25: MediaStreamer::Configuration
• 1.6.1.3.1.26: PipelineSystemControllerInterfaceFactory
• 1.6.1.3.1.27: SystemControllerConnection
• 1.6.1.3.1.28: SystemControllerConnection::Settings
• 1.6.1.3.1.29: TimeCommon::TAIStatus
• 1.6.1.3.1.30: TimeCommon::TimeStructure
• 1.6.1.3.2: Files
• 1.6.1.3.2.1: include/AclLog.h
• 1.6.1.3.2.2: include/AlignedFrame.h
• 1.6.1.3.2.3: include/Base64.h
• 1.6.1.3.2.4: include/ControlDataCommon.h
• 1.6.1.3.2.5: include/ControlDataReceiver.h
• 1.6.1.3.2.6: include/ControlDataSender.h
• 1.6.1.3.2.7: include/DeviceMemory.h
• 1.6.1.3.2.8: include/IngestApplication.h
• 1.6.1.3.2.9: include/IngestUtils.h
• 1.6.1.3.2.10: include/ISystemControllerInterface.h
• 1.6.1.3.2.11: include/MediaReceiver.h
• 1.6.1.3.2.12: include/MediaStreamer.h
• 1.6.1.3.2.13: include/PipelineSystemControllerInterfaceFactory.h
• 1.6.1.3.2.14: include/PixelFormat.h
• 1.6.1.3.2.15: include/SystemControllerConnection.h
• 1.6.1.3.2.16: include/TimeCommon.h
• 1.6.1.3.2.17: include/UUIDUtils.h
• 1.6.1.3.3: Namespaces
• 1.6.1.3.3.1: ACL
• 1.6.1.3.3.2: AclLog
• 1.6.1.3.3.3: ControlDataCommon
• 1.6.1.3.3.4: IngestUtils
• 1.6.1.3.3.5: spdlog
• 1.6.1.3.3.6: TimeCommon
• 1.6.1.3.3.7: UUIDUtils
• 1.6.1.4: System controller config
• 1.6.2: Agile Live 5.0.0 developer reference
• 1.6.2.1: REST API v2
• 1.6.2.2: Agile Live Rendering Engine command documentation
• 1.6.2.3: C++ SDK
• 1.6.2.3.1: Classes
• 1.6.2.3.1.1: AclLog::CommandLogFormatter
• 1.6.2.3.1.2: AclLog::FileLocationFormatterFlag
• 1.6.2.3.1.3: AclLog::ThreadNameFormatterFlag
• 1.6.2.3.1.4: AlignedAudioFrame
• 1.6.2.3.1.5: AlignedFrame
• 1.6.2.3.1.6: ControlDataCommon::ConnectionStatus
• 1.6.2.3.1.7: ControlDataCommon::Response
• 1.6.2.3.1.8: ControlDataCommon::StatusMessage
• 1.6.2.3.1.9: ControlDataReceiver
• 1.6.2.3.1.10: ControlDataReceiver::IncomingRequest
• 1.6.2.3.1.11: ControlDataReceiver::ReceiverResponse
• 1.6.2.3.1.12: ControlDataReceiver::Settings
• 1.6.2.3.1.13: ControlDataSender
• 1.6.2.3.1.14: ControlDataSender::Settings
• 1.6.2.3.1.15: DeviceMemory
• 1.6.2.3.1.16: IngestApplication
• 1.6.2.3.1.17: IngestApplication::Settings
• 1.6.2.3.1.18: ISystemControllerInterface
• 1.6.2.3.1.19: ISystemControllerInterface::Callbacks
• 1.6.2.3.1.20: ISystemControllerInterface::Response
• 1.6.2.3.1.21: MediaReceiver
• 1.6.2.3.1.22: MediaReceiver::NewStreamParameters
• 1.6.2.3.1.23: MediaReceiver::Settings
• 1.6.2.3.1.24: MediaStreamer
• 1.6.2.3.1.25: MediaStreamer::Configuration
• 1.6.2.3.1.26: PipelineSystemControllerInterfaceFactory
• 1.6.2.3.1.27: SystemControllerConnection
• 1.6.2.3.1.28: SystemControllerConnection::Settings
• 1.6.2.3.1.29: TimeCommon::TAIStatus
• 1.6.2.3.1.30: TimeCommon::TimeStructure
• 1.6.2.3.2: Files
• 1.6.2.3.2.1: include/AclLog.h
• 1.6.2.3.2.2: include/AlignedFrame.h
• 1.6.2.3.2.3: include/Base64.h
• 1.6.2.3.2.4: include/ControlDataCommon.h
• 1.6.2.3.2.5: include/ControlDataReceiver.h
• 1.6.2.3.2.6: include/ControlDataSender.h
• 1.6.2.3.2.7: include/DeviceMemory.h
• 1.6.2.3.2.8: include/IngestApplication.h
• 1.6.2.3.2.9: include/IngestUtils.h
• 1.6.2.3.2.10: include/ISystemControllerInterface.h
• 1.6.2.3.2.11: include/MediaReceiver.h
• 1.6.2.3.2.12: include/MediaStreamer.h
• 1.6.2.3.2.13: include/PipelineSystemControllerInterfaceFactory.h
• 1.6.2.3.2.14: include/SystemControllerConnection.h
• 1.6.2.3.2.15: include/TimeCommon.h
• 1.6.2.3.2.16: include/UUIDUtils.h
• 1.6.2.3.3: Namespaces
• 1.6.2.3.3.1: AclLog
• 1.6.2.3.3.2: ControlDataCommon
• 1.6.2.3.3.3: IngestUtils
• 1.6.2.3.3.4: spdlog
• 1.6.2.3.3.5: TimeCommon
• 1.6.2.3.3.6: UUIDUtils
• 1.6.2.4: System controller config
• 1.6.3: Agile Live 4.0.0 developer reference
• 1.6.3.1: REST API v2
• 1.6.3.2: Agile Live Rendering Engine command documentation
• 1.6.3.3: C++ SDK
• 1.6.3.3.1: Classes
• 1.6.3.3.1.1: AclLog::CommandLogFormatter
• 1.6.3.3.1.2: AlignedAudioFrame
• 1.6.3.3.1.3: AlignedFrame
• 1.6.3.3.1.4: ControlDataCommon::ConnectionStatus
• 1.6.3.3.1.5: ControlDataCommon::Response
• 1.6.3.3.1.6: ControlDataCommon::StatusMessage
• 1.6.3.3.1.7: ControlDataReceiver
• 1.6.3.3.1.8: ControlDataReceiver::IncomingRequest
• 1.6.3.3.1.9: ControlDataReceiver::ReceiverResponse
• 1.6.3.3.1.10: ControlDataReceiver::Settings
• 1.6.3.3.1.11: ControlDataSender
• 1.6.3.3.1.12: ControlDataSender::Settings
• 1.6.3.3.1.13: DeviceMemory
• 1.6.3.3.1.14: IngestApplication
• 1.6.3.3.1.15: IngestApplication::Settings
• 1.6.3.3.1.16: ISystemControllerInterface
• 1.6.3.3.1.17: ISystemControllerInterface::Callbacks
• 1.6.3.3.1.18: ISystemControllerInterface::Response
• 1.6.3.3.1.19: MediaReceiver
• 1.6.3.3.1.20: MediaReceiver::NewStreamParameters
• 1.6.3.3.1.21: MediaReceiver::Settings
• 1.6.3.3.1.22: MediaStreamer
• 1.6.3.3.1.23: MediaStreamer::Configuration
• 1.6.3.3.1.24: PipelineSystemControllerInterfaceFactory
• 1.6.3.3.1.25: SystemControllerConnection
• 1.6.3.3.1.26: SystemControllerConnection::Settings
• 1.6.3.3.1.27: TimeCommon::TAIStatus
• 1.6.3.3.1.28: TimeCommon::TimeStructure
• 1.6.3.3.2: Files
• 1.6.3.3.2.1: include/AclLog.h
• 1.6.3.3.2.2: include/AlignedFrame.h
• 1.6.3.3.2.3: include/Base64.h
• 1.6.3.3.2.4: include/ControlDataCommon.h
• 1.6.3.3.2.5: include/ControlDataReceiver.h
• 1.6.3.3.2.6: include/ControlDataSender.h
• 1.6.3.3.2.7: include/DeviceMemory.h
• 1.6.3.3.2.8: include/IngestApplication.h
• 1.6.3.3.2.9: include/IngestUtils.h
• 1.6.3.3.2.10: include/ISystemControllerInterface.h
• 1.6.3.3.2.11: include/MediaReceiver.h
• 1.6.3.3.2.12: include/MediaStreamer.h
• 1.6.3.3.2.13: include/PipelineSystemControllerInterfaceFactory.h
• 1.6.3.3.2.14: include/SystemControllerConnection.h
• 1.6.3.3.2.15: include/TimeCommon.h
• 1.6.3.3.2.16: include/UUIDUtils.h
• 1.6.3.3.3: Namespaces
• 1.6.3.3.3.1: AclLog
• 1.6.3.3.3.2: ControlDataCommon
• 1.6.3.3.3.3: IngestUtils
• 1.6.3.3.3.4: spdlog
• 1.6.3.3.3.5: TimeCommon
• 1.6.3.3.3.6: UUIDUtils
• 1.6.3.4: System controller config
• 1.6.4: Agile Live 3.0.0 developer reference
• 1.6.4.1: REST API v2
• 1.6.4.2: Agile Live Rendering Engine command documentation
• 1.6.4.3: C++ SDK
• 1.6.4.3.1: Classes
• 1.6.4.3.1.1: AlignedFrame
• 1.6.4.3.1.2: ControlDataCommon::ConnectionStatus
• 1.6.4.3.1.3: ControlDataCommon::Response
• 1.6.4.3.1.4: ControlDataCommon::StatusMessage
• 1.6.4.3.1.5: ControlDataReceiver
• 1.6.4.3.1.6: ControlDataReceiver::IncomingRequest
• 1.6.4.3.1.7: ControlDataReceiver::ReceiverResponse
• 1.6.4.3.1.8: ControlDataReceiver::Settings
• 1.6.4.3.1.9: ControlDataSender
• 1.6.4.3.1.10: ControlDataSender::Settings
• 1.6.4.3.1.11: DeviceMemory
• 1.6.4.3.1.12: IngestApplication
• 1.6.4.3.1.13: IngestApplication::Settings
• 1.6.4.3.1.14: ISystemControllerInterface
• 1.6.4.3.1.15: ISystemControllerInterface::Callbacks
• 1.6.4.3.1.16: ISystemControllerInterface::Response
• 1.6.4.3.1.17: MediaReceiver
• 1.6.4.3.1.18: MediaReceiver::NewStreamParameters
• 1.6.4.3.1.19: MediaReceiver::Settings
• 1.6.4.3.1.20: MediaStreamer
• 1.6.4.3.1.21: MediaStreamer::Configuration
• 1.6.4.3.1.22: PipelineSystemControllerInterfaceFactory
• 1.6.4.3.1.23: SystemControllerConnection
• 1.6.4.3.1.24: SystemControllerConnection::Settings
• 1.6.4.3.1.25: TimeCommon::TAIStatus
• 1.6.4.3.1.26: TimeCommon::TimeStructure
• 1.6.4.3.2: Files
• 1.6.4.3.2.1: include/AclLog.h
• 1.6.4.3.2.2: include/AlignedFrame.h
• 1.6.4.3.2.3: include/Base64.h
• 1.6.4.3.2.4: include/ControlDataCommon.h
• 1.6.4.3.2.5: include/ControlDataReceiver.h
• 1.6.4.3.2.6: include/ControlDataSender.h
• 1.6.4.3.2.7: include/DeviceMemory.h
• 1.6.4.3.2.8: include/IngestApplication.h
• 1.6.4.3.2.9: include/IngestUtils.h
• 1.6.4.3.2.10: include/ISystemControllerInterface.h
• 1.6.4.3.2.11: include/MediaReceiver.h
• 1.6.4.3.2.12: include/MediaStreamer.h
• 1.6.4.3.2.13: include/PipelineSystemControllerInterfaceFactory.h
• 1.6.4.3.2.14: include/SystemControllerConnection.h
• 1.6.4.3.2.15: include/TimeCommon.h
• 1.6.4.3.2.16: include/UUIDUtils.h
• 1.6.4.3.3: Namespaces
• 1.6.4.3.3.1: AclLog
• 1.6.4.3.3.2: ControlDataCommon
• 1.6.4.3.3.3: IngestUtils
• 1.6.4.3.3.4: TimeCommon
• 1.6.4.3.3.5: UUIDUtils
• 1.6.4.4: System controller config
• 1.6.5: Agile Live 2.0.0 developer reference
• 1.6.5.1: REST API v1
• 1.6.5.2: Agile Live Rendering Engine command documentation
• 1.6.5.3: C++ SDK
• 1.6.5.3.1: Classes
• 1.6.5.3.1.1: AlignedFrame
• 1.6.5.3.1.2: ControlDataCommon::ConnectionStatus
• 1.6.5.3.1.3: ControlDataCommon::Response
• 1.6.5.3.1.4: ControlDataCommon::StatusMessage
• 1.6.5.3.1.5: ControlDataReceiver
• 1.6.5.3.1.6: ControlDataReceiver::IncomingRequest
• 1.6.5.3.1.7: ControlDataReceiver::ReceiverResponse
• 1.6.5.3.1.8: ControlDataReceiver::Settings
• 1.6.5.3.1.9: ControlDataSender
• 1.6.5.3.1.10: ControlDataSender::Settings
• 1.6.5.3.1.11: DeviceMemory
• 1.6.5.3.1.12: IngestApplication
• 1.6.5.3.1.13: IngestApplication::Settings
• 1.6.5.3.1.14: ISystemControllerInterface
• 1.6.5.3.1.15: ISystemControllerInterface::Callbacks
• 1.6.5.3.1.16: ISystemControllerInterface::Response
• 1.6.5.3.1.17: MediaReceiver
• 1.6.5.3.1.18: MediaReceiver::NewStreamParameters
• 1.6.5.3.1.19: MediaReceiver::Settings
• 1.6.5.3.1.20: MediaStreamer
• 1.6.5.3.1.21: MediaStreamer::Configuration
• 1.6.5.3.1.22: PipelineSystemControllerInterfaceFactory
• 1.6.5.3.1.23: SystemControllerConnection
• 1.6.5.3.1.24: SystemControllerConnection::Settings
• 1.6.5.3.1.25: TimeCommon::TAIStatus
• 1.6.5.3.1.26: TimeCommon::TimeStructure
• 1.6.5.3.2: Files
• 1.6.5.3.2.1: include/AclLog.h
• 1.6.5.3.2.2: include/AlignedFrame.h
• 1.6.5.3.2.3: include/Base64.h
• 1.6.5.3.2.4: include/ControlDataCommon.h
• 1.6.5.3.2.5: include/ControlDataReceiver.h
• 1.6.5.3.2.6: include/ControlDataSender.h
• 1.6.5.3.2.7: include/DeviceMemory.h
• 1.6.5.3.2.8: include/IngestApplication.h
• 1.6.5.3.2.9: include/IngestUtils.h
• 1.6.5.3.2.10: include/ISystemControllerInterface.h
• 1.6.5.3.2.11: include/MediaReceiver.h
• 1.6.5.3.2.12: include/MediaStreamer.h
• 1.6.5.3.2.13: include/PipelineSystemControllerInterfaceFactory.h
• 1.6.5.3.2.14: include/SystemControllerConnection.h
• 1.6.5.3.2.15: include/TimeCommon.h
• 1.6.5.3.2.16: include/UUIDUtils.h
• 1.6.5.3.3: Namespaces
• 1.6.5.3.3.1: AclLog
• 1.6.5.3.3.2: ControlDataCommon
• 1.6.5.3.3.3: IngestUtils
• 1.6.5.3.3.4: TimeCommon
• 1.6.5.3.3.5: UUIDUtils
• 1.6.5.4: System controller config
• 1.6.6: Agile Live 1.0.0 developer reference
• 1.6.6.1: REST API v1
• 1.6.6.2: C++ SDK
• 1.6.6.2.1: Classes
• 1.6.6.2.1.1: AlignedData::DataFrame
• 1.6.6.2.1.2: ControlDataCommon::ConnectionStatus
• 1.6.6.2.1.3: ControlDataCommon::Response
• 1.6.6.2.1.4: ControlDataCommon::StatusMessage
• 1.6.6.2.1.5: ControlDataReceiver
• 1.6.6.2.1.6: ControlDataReceiver::IncomingRequest
• 1.6.6.2.1.7: ControlDataReceiver::ReceiverResponse
• 1.6.6.2.1.8: ControlDataReceiver::Settings
• 1.6.6.2.1.9: ControlDataSender
• 1.6.6.2.1.10: ControlDataSender::Settings
• 1.6.6.2.1.11: IngestApplication
• 1.6.6.2.1.12: IngestApplication::Settings
• 1.6.6.2.1.13: ISystemControllerInterface
• 1.6.6.2.1.14: ISystemControllerInterface::Callbacks
• 1.6.6.2.1.15: ISystemControllerInterface::Response
• 1.6.6.2.1.16: MediaReceiver
• 1.6.6.2.1.17: MediaReceiver::NewStreamParameters
• 1.6.6.2.1.18: MediaReceiver::Settings
• 1.6.6.2.1.19: MediaStreamer
• 1.6.6.2.1.20: MediaStreamer::Configuration
• 1.6.6.2.1.21: SystemControllerConnection
• 1.6.6.2.1.22: SystemControllerConnection::Settings
• 1.6.6.2.1.23: TimeCommon::TAIStatus
• 1.6.6.2.1.24: TimeCommon::TimeStructure
• 1.6.6.2.2: Files
• 1.6.6.2.2.1: include/AclLog.h
• 1.6.6.2.2.2: include/AlignedData.h
• 1.6.6.2.2.3: include/Base64.h
• 1.6.6.2.2.4: include/ControlDataCommon.h
• 1.6.6.2.2.5: include/ControlDataReceiver.h
• 1.6.6.2.2.6: include/ControlDataSender.h
• 1.6.6.2.2.7: include/IngestApplication.h
• 1.6.6.2.2.8: include/IngestUtils.h
• 1.6.6.2.2.9: include/ISystemControllerInterface.h
• 1.6.6.2.2.10: include/MediaReceiver.h
• 1.6.6.2.2.11: include/MediaStreamer.h
• 1.6.6.2.2.12: include/SystemControllerConnection.h
• 1.6.6.2.2.13: include/TimeCommon.h
• 1.6.6.2.2.14: include/UUIDUtils.h
• 1.6.6.2.3: Namespaces
• 1.6.6.2.3.1: AclLog
• 1.6.6.2.3.2: AlignedData
• 1.6.6.2.3.3: ControlDataCommon
• 1.6.6.2.3.4: IngestUtils
• 1.6.6.2.3.5: TimeCommon
• 1.6.6.2.3.6: UUIDUtils
• 1.6.6.3: System controller config
• 1.7: Troubleshooting
• 1.8: Credits
• 1.8.1: C++ SDK Credits
• 1.8.2: REST API Credits
• 2: ACP
• 2.1: Overview
• 2.2: VoD to Linear (ew-vod2cbm)
• 2.2.1: General
• 2.2.2: Details
• 2.2.3: Installation
• 2.2.3.1: Upgrades
• 2.2.4: Configuration and command-line arguments
• 2.2.4.1: Startup Configuration
• 2.2.4.2: Content Templates
• 2.2.4.3: Assets
• 2.2.4.3.1: Asset Track Matching
• 2.2.4.4: Repackager configuration
• 2.2.4.5: Channels
• 2.2.4.6: Licensing
• 2.2.5: Monitoring & Logging
• 2.2.6: how-to
• 2.2.6.1: Looping channels
• 2.2.6.2: Dynamic Channels
• 2.2.6.3: Test Output
• 2.2.7: API Reference
• 2.2.7.1: Channel REST API v1
• 2.2.7.2: Old API references
• 2.2.7.2.1: REST API v1 - release 1.0
• 2.2.7.2.2: REST API v1 - release 0.10
• 2.2.7.2.3: REST API v1 - release 0.8
• 2.2.8: Credits
• 2.2.9: Releases
• 2.2.9.1: Release 1.4.0
• 2.2.9.2: Release 1.2.0
• 2.2.9.3: Release 1.0.0
• 2.2.9.4: Release 0.10.0
• 2.2.9.5: Release 0.8.1
• 2.2.9.6: Release 0.8.0
• 2.2.9.7: Release 0.6.1
• 2.2.9.8: Release 0.6.0
• 2.3: Manifest Manipulation (ew-manip)
• 2.3.1: Introduction
• 2.3.2: Installation
• 2.3.2.1: Upgrades
• 2.3.3: Configuration
• 2.3.3.1: Licensing
• 2.3.4: Monitoring & Logging
• 2.3.5: How-to guides
• 2.3.5.1: Pre-rolls
• 2.3.5.2: HLS Target Duration
• 2.3.6: Releases
• 2.3.6.1: Release 1.0.1
• 2.3.6.2: Release 1.0.0
• 2.3.6.3: Release 0.10.0
• 2.3.6.4: Release 0.8.1
• 2.3.6.5: Release 0.8.0
• 2.3.6.6: Release 0.6.0
• 2.3.7: Credits
• 2.4: VoD Ingest (ew-vodingest)
• 2.4.1: Introduction
• 2.4.2: Installation
• 2.4.3: Tools
• 2.4.4: SMIL manifest
• 2.4.5: Supported codecs
• 2.4.6: HDR10 support
• 2.4.7: AWS S3 Cloud Usage
• 2.4.8: Releases
• 2.4.8.1: Release 1.8.0
• 2.4.8.2: Release 1.6.0
• 2.4.8.3: Release 1.4.0
• 2.4.8.4: Release 1.2.0
• 2.4.8.5: Release 1.0.0
• 2.4.8.6: Release 0.6.2
• 2.4.9: Licensing
• 2.5: HLS Ingest (ew-hlsingest)
• 2.5.1: Introduction
• 2.5.2: Installation and Upgrades
• 2.5.3: Configuration and command-line arguments
• 2.5.4: Logging
• 2.5.5: Credits
• 2.5.6: Releases
• 2.5.6.1: Release 0.6.0
• 2.6: VoD to JIT (ew-vodjit)
• 2.6.1: Introduction
• 2.6.2: Configuration and Command Line Options
• 2.6.3: Credits
• 2.6.4: Releases
• 2.6.4.1: Release 1.0.0
• 2.6.5: Licensing
• 2.6.6: Logging
• 2.7: Technical Details
• 2.7.1: CCMI URLs
• 2.7.2: ESF Format
• 2.7.2.1: Introduction
• 2.8: Monitoring & Logging
• 2.9: Licensing
• 3: Agile Content Delivery
• 3.1: Components
• 3.1.1: ESB3024 Router
• 3.1.1.1: Getting Started
• 3.1.1.2: Installation
• 3.1.1.2.1: Installing release 1.10.x
• 3.1.1.2.1.1: Configuration changes between 1.8.0 and 1.10.x
• 3.1.1.2.2: Installing release 1.8.0
• 3.1.1.2.2.1: Configuration changes between 1.6.0 and 1.8.0
• 3.1.1.2.3: Installing release 1.6.0
• 3.1.1.2.3.1: Configuration changes between 1.4.0 and 1.6.0
• 3.1.1.3: Firewall
• 3.1.1.4: API Overview
• 3.1.1.5: Configuration
• 3.1.1.5.1: Configuration JSON Overview
• 3.1.1.5.2: WebUI Configuration
• 3.1.1.5.3: Confd and Confcli
• 3.1.1.5.4: Session Groups and Classification
• 3.1.1.5.5: Advanced features
• 3.1.1.5.5.1: Content popularity
• 3.1.1.5.5.2: Consistent Hashing
• 3.1.1.5.5.3: Predictive load balancing
• 3.1.1.5.5.4: Security token verification
• 3.1.1.5.5.5: Subnets API
• 3.1.1.5.5.6: Lua Features
• 3.1.1.5.5.6.1: Health Check Functions
• 3.1.1.5.5.6.2: Request Translation Function
• 3.1.1.5.5.6.3: Response Translation Function
• 3.1.1.5.5.6.4: Session Translation Function
• 3.1.1.5.6: Routing Engine
• 3.1.1.6: Operations
• 3.1.1.6.1: Services
• 3.1.1.6.2: Docker
• 3.1.1.7: Convoy Bridge
• 3.1.1.8: Monitoring
• 3.1.1.8.1: System troubleshooting
• 3.1.1.8.2: Scraping data with Prometheus
• 3.1.1.8.3: Visualizing data with Grafana
• 3.1.1.8.3.1: Managing Grafana
• 3.1.1.8.3.2: Grafana Dashboards
• 3.1.1.8.4: Alarms and Alerting
• 3.1.1.8.5: Monitoring multiple routers
• 3.1.1.8.6: Routing Rule Evaluation Metrics
• 3.1.1.8.7: Metrics
• 3.1.1.8.7.1: Internal Metrics
• 3.1.1.9: Releases
• 3.1.1.9.1: Release esb3024-1.10.1
• 3.1.1.9.2: Release esb3024-1.10.0
• 3.1.1.9.3: Release esb3024-1.8.0
• 3.1.1.9.4: Release esb3024-1.6.0
• 3.1.1.9.5: Release esb3024-1.4.0
• 3.1.1.9.6: Release acd-router-1.2.3
• 3.1.1.9.7: Release acd-router-1.2.0
• 3.1.1.9.8: Release acd-router-1.0.0
• 3.1.1.10: Glossary
• 3.1.2: ESB3032 ACD Aggregator
• 3.1.2.1: Getting Started
• 3.1.2.2: Releases
• 3.1.2.2.1: Release esb3032-0.2.0
• 3.1.2.2.2: Release esb3032-1.0.0
• 3.1.2.2.3: Release esb3032-1.2.1
• 3.1.2.2.4: Release esb3032-1.4.0
• 3.1.3: ACD Cache
• 3.1.4: ESB3013 BGP Sniffer
• 3.1.5: Edgeware CDN Management System
• 3.1.6: ESB3008 Edgeware CDN Request Router
• 3.2: Introduction
• 3.3: Solutions
• 3.3.1: Cache hardware metrics: monitoring and routing
• 3.3.2: Private CDN Offload Routing with DNS
• 3.3.3: Monitor ACD with Prometheus, Grafana and Alert Manager
• 3.4: Use Cases
• 3.4.1: Route on GeoIP/ASN
• 3.4.2: Route on Subnet
• 3.4.3: Route on Content Type
• 3.4.4: Route on Content Popularity
• 3.4.5: Route on Selection Input
• 3.4.6: Adapt to multi-CDN
• 3.4.7: How to use ACD router for EDNS routing
• 3.4.8: How to use ESB3024 Router with Edgeware CDN Request Router
• 3.4.9: How to use ESB3024 Router with CoreDNS
• 3.4.10: How to use the Director as a replacement for Edgeware CDN Request Router
• 3.4.11: Use In-Stream Sessions
• 3.5: Ready for Production?
• 3.5.1: Setup for Redundancy
• 3.5.2: HTTPS Certificates

1 - Agile Live

1.1 - Overview

Agile Live is a software-based platform for production of media using standard, off-the-shelf hardware and datacenter building blocks.

The Agile Live system consists of multiple software components, distributed geographically between recording studios, remote production control rooms and datacenters.

All Agile Live components have the same understanding of the time ‘now’. The time reference used by all software components is TAI (Temps Atomique International), which provides a monotonically, steady time reference no matter the geographic location.

This makes it possible to compensate for differences in relative delay between the media streams. The synchronized timing makes the system unique compared to other solutions usually bound to buffer levels and various queueing mechanisms.

The synchronization of the streams transported over networks with various delays makes it possible to build a distributed production environment, where the mixing of the video and audio sources can take place at a different location compared to the studio where they were captured.

System overview

Media sources, such as video cameras and microphones, are connected to a computer called Ingest. In practice, this will usually be some kind of off-the-shelf desktop computer, potentially equipped with a frame grabber card to allow physical input interfaces such as SDI cables, but it could also be a smartphone with a dedicated app using the built-in camera.

The Ingest is responsible for receiving the media data from the source, encode it and transport it using a network to the production environment inside the cloud/datacenter.

From the datacenter the remote production team can get multi-view streams of the available media sources to base their production decisions on, as well as a low-delay feedback display showing the result of the production.

The production in the datacenter will also output a high quality program output, which is broadcast to the viewers. Both the multi-views and the feedback display will usually have a lower quality compared to the high quality program output that is broadcast to the viewers. This is to allow an as short as possible end-to-end delay between what happens in front of the cameras in the studio and the output stream on the feedback display.

This in turn allows for feedback loops back to the studio, for instance for video cameras that are remotely controlled by the production team based on what they see on the multi-views, or having additional feedback displays in the studio.

1.2 - Introduction to Agile Live technology

Agile Live is a software-based platform and solution for live media production that enables remote and distributed workflows in software running on standard, off-the-shelf hardware. It can be deployed on-premises or in private or public cloud.

The system is built with an ‘API first’ philosophy throughout. It is built in several stacked conceptual layers, and a customer may choose how many layers to include in their solution, depending on which customisations they wish to do themselves. It is implemented in a distributed manner with a number of different software binaries the customer is responsible for running on their own hardware and operating system. If using all layers, the full solution provides media capture, synchronised contribution, video & audio mixing including Digital Video Effects and HTML-based graphics overlay, various production control panel integrations and a fully customisable multiview, primary distribution and a management & orchestration API layer with a configuration & monitoring GUI on top of it.

The layers of the platform are the “Base Layer”, the “Rendering Engine & Generic Control Panels” layer and the “GUIs & Orchestration, Specific Control Panels” layer.

The base layer

The base layer of the platform can in a very simplified way be described as being responsible for transporting media of diverse types from many different locations into a central location in perfect sync, present it there to higher layer software that processes it in some way, and to distribute the end result. This piece of software, which is not a part of the base layer, is referred to as a “rendering engine”. The base layer also carries control commands from remote control panels into the rendering engine, without having any knowledge of the actual control command syntax.

The following image shows a schematic of the roles played by the base layer. The parts in blue are higher layer functionality.

The base layer is separated into three components based on their different roles in a distributed computing system:

• the Ingest component handles acquisition of the media sources and timestamping of media frames, followed by encoding, muxing and origination of reliable transport over unreliable networks using SRT or RIST
• the Production Pipeline component handles terminating all incoming media streams from ingests, demuxing and decoding, aligning all the sources according to timestamps and feeding them synchronously into the rendering engine. It also receives the resulting media frames from the rendering engine and encodes, muxes and streams out the media streams using MPEG-TS over UDP or SRT. It constructs a multiview from the aligned sources by fully customizable scaling and compositing. Finally, it receives control commands from the control panel component, aligns them in time with the media sources and feeds them into the rendering engine. NOTE that the rendering engine is NOT a part of the base layer, and must be supplied by a higher layer or by the implementer themselves.
• The control panel component is responsible for acquiring control command data (the internal syntax of which it has no knowledge of), timestamp it, and send it to the production pipeline component.

The base layer is delivered as libraries and header files, to be used to build binaries that make up the platform. The ingest component is for convenience also delivered as a precompiled binary named acl-ingest as there is very little customization to be done around it at the current moment.

The functionalities in the base layer are managed via a REST API. A separate software program called the System Controller acts as a REST service and communicates with the rest of the Base Layer software to control and monitor it. The REST API is Open API 2.0 compliant, and is documented here. Apart from the three components (ingest, production pipeline, controlpanel), the concepts of a Stream (transporting one source from one ingest to one production pipeline using one specific set of properties) and a controlconnection (transporting control commands from one control panel to one production pipeline or from one production pipeline to another) are central to the REST API.

The rendering engine and generic control panels layer

Though it is fully possible to use only the base layer and to build everything else yourself, a very capable version of a rendering engine is supplied. Our rendering engine implementation consists of a modular video mixer, an audio router and mixer, an interface towards 3rd party audio mixers, and an HTML renderer to overlay HTML-based graphics. It defines a control protocol for configuration and control which can be used by specific control panel implementations.

The rendering engine is delivered bundled with the production pipeline component as a binary named acl-renderingengine. This is because the production pipeline component from the base layer is only delivered as a library that the rendering engine implementation makes use of.

Communication with the rendering engine for configuration and control takes place over the control connections from control panels, as provided by the base layer. The control panels are contructed by using the control panel library, but to assist in getting up and running fast, a few generic control panels are provided, that will act as proxies for control commands. There is one that sets up a TCP server and accepts control commands over connections to it, and another one that acts as a websocket server for the same purpose. Finally there is one that takes commands over stdin from a terminal session forwards control commands.

The GUI and orchestration layer

On top of the REST API it is possible to build GUIs for configuring and monitoring the system. One default GUI is provided.

Prometheus-exporters can be configured to report on the details of the machines in the system, and there is also an exporter for the REST API statistics. The data in Prometheus can then be presented in Grafana.

Using the control command protocol defined by our rendering engine and either the generic control panels or custom control panel integrations, GUIs can be constructed to configure and control the components inside the rendering engine. For example, Bitfocus Companion can be configured to send control commands to the tcpcontrolpanel which will send them further into the system. The custom integration audio_control_gui can be used to interface with audio panels that support the Mackie Control protocol and to send control commands to the tcpcontrolpanel.

Direct editing mode vs proxy editing mode

The components of the Agile Live platform can be combined in many different ways. The two most common ways is the Direct Editing Mode and the Proxy Editing Mode. The direct editing mode is what has commonly been done for remote productions, where the mixer operator edits directly in the flow that goes out to the viewer.

In the proxy editing mode, the operator works with a low delay but lower quality flow, makes mixing decisions, and then those decisions are replicated in a frame accurate manner on a high quality flow that is delayed in time.

There are good reasons for using a proxy editing mode. The mixer operator may be communicating via intercom with personnel at the venue, such as camera operators, or PTZ cameras may be operated remotely. In these cases it is important that the delay from the cameras to the production pipeline and out to the mixer operator is as short as possible. But having a low latency for this flow goes in direct opposition to having a high quality video compression and a very reliable transport. Therefore, in the proxy editing mode, we have both a low delay workflow and a high quality but slower workflow. This way both requirements can be satisfied. This technique is made possible by the synchronization functionalities of the base layer platform.

1.3 - Installation and configuration

A working knowledge of the technical basis of the Agile Live solution is beneficial before starting with this installation guide.

This guide will often point to subpages for the detailed description of steps. The major steps of this guide are:

1. Hardware and operating system requirements
2. Install, configure and start the System Controller
3. The base platform components
   1. Install prerequisites
   2. Preparing the base system for installation
   3. Install Agile Live platform
   4. Configure and start the Agile Live components
4. Install the configuration-and-monitoring GUI (optional)
5. Install Prometheus and Grafana, and configure them (optional)
6. Install and start control panel GUI examples

1. Hardware and operating system requirements

The bulk of the platform runs on computer systems based on x86 CPUs and running the Ubuntu 22.04 operating system. This includes the following software components: the ingest, the production pipeline, the control panel integrations, and the system controller. The remaining components, i.e. the configuration and monitoring GUI, the control panel GUI examples, and the Prometheus database and Grafana frontend can be run in the platform of choice, as they are cross platform.

The platform does not have explicit hardware performance requirements, as it will utilize the performance of the system it is given, but suggestions for hardware specifications can be found here.

Agile Live is supported and tested on Ubuntu 22.04 LTS. Other versions may work but are not officially supported.

2. Install, configure and start the System Controller

The System Controller is the central backend that ties together and controls the different components of the base platform, and that provides the REST API that is used by the user to configure and monitor the system. When each Agile Live component, such as an Ingest or a Production Pipeline, starts up it connects to and registers with the System Controller, so it is a good idea to install and configure the System Controller first.

Instructuctions on how to install and configure it can be found here.

3. The base platform components

The base platform consists of the software components Ingests, Production Pipelines, and Control Panel interfaces. Each machine that is intended to act as an aquisition device for media shall run exactly one instance of the Ingest application, as it is responsible for interfacing with third party software such as SDKs for SDI cards and NDI.

The production pipeline application instance (interchangably called a rendering engine application instance in parts of this documentation) uses the resources of its host machine in a non-exclusive way (including the GPU), so there may therefore reside more than one instance on a single host machine.

The control panel integrations preferably reside on a machine close to the actual control panel.

However, in a very minimal system not all of these machines need to be separate; in fact, all the above could run on a single computer if so is desired.

A guide to installing and configuring the Agile Live base platform can be found here.

4. Install the configuration-and-monitoring GUI (optional)

There is a basic configuration-and-monitoring GUI that is intended to be used as an easy way to get going with using the system. It uses the REST API to configure and monitor the system.

Instructions for how to install it can be found here and a tutorial for how to use it can be found here

5. Install Prometheus and Grafana, and configure them (optional)

To collect useful system metrics for stability and performance monitoring, we advise to use Prometheus. For visualizing the metrics collected by Prometheus you could use Grafana.

The System controller receives a lot of internal metrics from the Agile Live components. These can be pulled by a Prometheus instance from the endpoint https://system-controller-host:port/metrics.

It is also possible to install external exporters for various hardware and OS metrics.

To install and run prometheus exporters on the servers that run ingest and production pipeline software, as well as installing, configuring and running the Prometheus database and the associated Grafana instance on the server dedicated to management and orchestration, follow this guide.

6. Install and start control panel GUI examples

To install the example control panel GUIs that are delivered as source code, follow this guide.

1.3.1 - Hardware examples

The following hardware specifications serve as examples of how much can be expected from certain hardware setups. The maximum number of inputs and outputs are highly dependent on the quality and resolution settings chosen when setting up a production, so these numbers shall be seen as approximations of what can be expected from a certain hardware under some form of normal use.

Hardware example #1

One such server is capable of fulfilling either of the two use-cases below:

• Ingest server
  • With Proxy editing: ingesting 4 sources (encoded as 4 Low Delay streams, AVC 720p50 1 Mbps and 4 High Quality streams, HEVC 1080p50 25 Mbps).
  • With Direct editing: ingesting 6 sources, (HEVC 1080p50 25 Mbps).
• Production server, running both a High Quality and a Low Delay pipeline with at least 10 connected sources (i.e. at least 20 incoming streams), with at least one 1080p50 multi-view output, one 1080p High Quality program output and one 720p Low Delay output.

Hardware example #2

One such server is capable of fulfilling either of the two use-cases below:

• Ingest server
  • With Proxy editing: ingesting 6-8 sources (encoded as 6-8 Low Delay streams, AVC 720p50 1 Mbps and 6-8 High Quality streams, HEVC 1080p50 25 Mbps).
  • With Direct editing: ingesting 8-10 sources (HEVC 1080p50 25 Mbps).
• Production server, running both the High Quality and the Low Delay pipeline with at least 20 connected sources (i.e. at least 40 incoming streams), with at least three 4K multi-view outputs, four 1080p High Quality outputs and four 720p Low Delay outputs.

1.3.2 - The System Controller

The System Controller is the central backend that ties together and controls the different components of the base platform, and that provides the REST API that is used by the user to configure and monitor the system.

When each Agile Live component (such as an Ingest or a Production Pipeline) starts up, it connects to and registers with the System Controller. This means the System Controller must run in a network location that is reachable from all other components.

From release 6.0.0 and on, the System Controller is distributed as a debian package, acl-system-controller. To install the System Controller application, do the following:

sudo apt -y install acl-system-controller_<version>_amd64.deb

The System Controller binary will be installed in the directory /opt/agile_live/bin/ and its configuration file will be placed in /etc/opt/agile_live/.

The System Controller is configured either using a settings file or using environment variables, or a combination thereof. The settings file, named acl_sc_settings.json, is searched for in /etc/opt/agile_live and current directory, or the search path can be pointed to using a flag on the command line when starting the application:

./acl-system-controller for default search paths or ./acl-system-controller -settings-path /path/to/directory/where/settings_file/exists

To use environment variables overriding settings from the configuration file, construct the variables from the json objects in the settings file by prepending with ACL_SC and then the json object flattened out with _ as the delimiter, e.g.:

export ACL_SC_LOGGER_LEVEL=debug
export ACL_SC_PROTO=https

Starting with the basic configuration file in the release, edit a few settings inside it (see this guide for help with the security related parameters):

• change the psk parameter to something random of your own
• change the salt to some long string of your own
• set the username and password to protect the REST API
• specify TLS certificate and key files
• set the host and port parameters to where the System Controller shall be reached

Also consider setting the file_name_prefix to set the log file location, otherwise it defaults to /tmp/.

From the installation directory, the System Controller is started with:

./acl-system-controller

If started successfully, it will display a log message showing the server endpoint.

The System Controller comes with built-in Swagger documentation that makes it easy to explore the API in a regular web browser. To access the Swagger REST API documentation hosted by the System Controller, open https://<IP>:<port>/swagger/ in your browser. The Swagger UI can be used to poll or edit the state of the actual system by using the “Try it out” buttons.

Running the System Controller as a service

It may be useful to run the System Controller as a service in Ubuntu, so that it starts automatically on boot and restarts if it terminates abnormally. In Ubuntu 22.04 systemd manages the services. Here follows an example of how a service can be configured, started and monitored.

First create a “service unit file”, named for example /etc/systemd/system/acl-system-controller.service and put the following in it:

[Unit]
Description=Agile Live System Controller service

[Service]
User=<YOUR_USER>
Environment=<ANY_ENV_VARS_HERE>
ExecStart=/opt/agile_live/bin/acl-system-controller
Restart=always

[Install]
WantedBy=multi-user.target

Replace <YOUR_USER> with the user that will be executing the System Controller binary on the host machine. The Environment attribute is used if you want to set any parameters as environment variables.

After saving the service unit file, run:

sudo systemctl daemon-reload
sudo systemctl enable acl-system-controller.service
sudo systemctl start acl-system-controller

The service should now be started. The status of the service can be queried using:

sudo systemctl status acl-system-controller.service

1.3.3 - The base platform

This page describes the steps needed to install and configure the base platform.

Install Third-party packages

Agile Live has a few dependencies on third party software that have to be installed separately first. Which ones are needed depends on the component of Agile Live that you will be running on the specific system.

A machine running the Ingest needs the following:

• CUDA Toolkit
• oneVPL
• Blackmagic Desktop Video (Optional, is needed when using Blackmagic DeckLink SDI cards)
• NDI SDK for Linux
• Base packages via ‘apt’

A machine running the Rendering Engine only needs a subset:

• CUDA Toolkit
• Base packages via ‘apt’

A machine running control panels needs yet fewer:

• Base packages via ‘apt’

CUDA Toolkit

For video encoding and decoding on NVidia GPUs you need Nvidia CUDA Toolkit installed. It must be installed on Ingest machines even if they don’t have Nvidia cards.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb

sudo apt update
sudo apt -y install cuda

You need to reboot the system after installation. Then check the installation by running nvidia-smi. If installing more dependencies, it is ok to proceed with that and reboot once after installing all parts.

oneVPL

All machines running the Ingest application need the Intel oneAPI Video Processing Library (oneVPL) installed. It is used for encoding and thumbnail processing on Intel GPUs and is required even for Ingests which will not use the Intel GPU for encoding. Install oneVPL by running:

sudo apt install -y gpg-agent wget

# Download and run oneVPL offline installer:
# https://www.intel.com/content/www/us/en/developer/articles/tool/oneapi-standalone-components.html#onevpl
VPL_INSTALLER=l_oneVPL_p_2023.1.0.43488_offline.sh
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/e2f5aca0-c787-4e1d-a233-92a6b3c0c3f2/$VPL_INSTALLER
chmod +x $VPL_INSTALLER
sudo ./$VPL_INSTALLER -a -s --eula accept

# Install the latest general purpose GPU (GPGPU) run-time and development software packages
# https://dgpu-docs.intel.com/driver/client/overview.html

wget -qO - https://repositories.intel.com/graphics/intel-graphics.key | \
  sudo gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg
echo 'deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc' | \
  sudo tee  /etc/apt/sources.list.d/intel.gpu.jammy.list
sudo apt update
sudo apt install -y ffmpeg intel-media-va-driver-non-free libdrm2 libmfx-gen1.2 libva2

# Add VA environment variables
if [[ -z "${LIBVA_DRIVERS_PATH}" ]]; then
  sudo sh -c "echo 'LIBVA_DRIVERS_PATH=/usr/lib/x86_64-linux-gnu/dri' >> /etc/environment"
fi
if [[ -z "${LIBVA_DRIVER_NAME}" ]]; then
  sudo sh -c "echo 'LIBVA_DRIVER_NAME=iHD' >> /etc/environment"
fi

# Give users access to the GPU device for compute and render node workloads
# https://www.intel.com/content/www/us/en/develop/documentation/installation-guide-for-intel-oneapi-toolkits-linux/top/prerequisites/install-intel-gpu-drivers.html
sudo usermod -aG video,render ${USER}

# Set environment variables for development
echo "# oneAPI environment variables for development" >> ~/.bashrc
echo "source /opt/intel/oneapi/setvars.sh > /dev/null" >> ~/.bashrc

You need to reboot the system after installation. If installing more dependencies, it is ok to proceed with that and reboot once after installing all parts.

Support for Blackmagic Design SDI grabber cards

If the Ingest shall be able to use Blackmagic DeckLink SDI cards, the drivers need to be installed.

Download https://www.blackmagicdesign.com/se/support/family/capture-and-playback (Desktop Video).

Unpack and install (Replace all commands with the version you downloaded):

sudo apt install dctrl-tools dkms
tar -xvf Blackmagic_Desktop_Video_Linux_12.7.tar.gz
cd Blackmagic_Desktop_Video_Linux_12.7/deb/x86_64
sudo dpkg -i desktopvideo_12.7a4_amd64.deb

Support for NDI sources

For machines running Ingests, you need to install the NDI library and additional dependencies:

## Install library
sudo apt -y install avahi-daemon avahi-discover avahi-utils libnss-mdns mdns-scan
wget https://downloads.ndi.tv/SDK/NDI_SDK_Linux/Install_NDI_SDK_v5_Linux.tar.gz
tar -xvzf Install_NDI_SDK_v5_Linux.tar.gz
PAGER=skip-pager ./Install_NDI_SDK_v5_Linux.sh <<< y
cd NDI\ SDK\ for\ Linux/lib/x86_64-linux-gnu/
NDI_LIBRARY_FILE=$(ls libndi.so.5.*.*)
cd ../../..
sudo cp NDI\ SDK\ for\ Linux/lib/x86_64-linux-gnu/${NDI_LIBRARY_FILE} /usr/lib/x86_64-linux-gnu
sudo ln -fs /usr/lib/x86_64-linux-gnu/${NDI_LIBRARY_FILE} /usr/lib/x86_64-linux-gnu/libndi.so
sudo ln -fs /usr/lib/x86_64-linux-gnu/${NDI_LIBRARY_FILE} /usr/lib/x86_64-linux-gnu/libndi.so.5
sudo ldconfig
sudo cp NDI\ SDK\ for\ Linux/include/* /usr/include/.

Base packages installed via ‘apt’

When installing version 5.0.0 or earlier, please refer to this guide for this step.

All systems that run an Ingest, Rendering Engine or Control Panel need chrony as NTP client. The systemd-coredump package is also really handy to have installed to be able to debug core dumps later on, but is technically optional.

These packages can be installed with the apt package manager:

sudo apt -y update && sudo apt -y upgrade && sudo apt -y install chrony systemd-coredump

Preparing the base system for installation

To prepare the system for Agile Live, the NTP client must be configured correctly by following this guide, and some general Linux settings shall be configured by following this guide. Also, CUDA should be prevented from automatically installing upgrades by following this guide.

Installing the Agile Live components

When installing version 5.0.0 or earlier, please refer to this guide for this step.

The following Agile Live .deb packages are distributed:

• acl-system-controller - Contains the System Controller application (explained in separate section)
• acl-libingest - Contains the library used by the Ingest application
• acl-ingest - Contains the Ingest application
• acl-libproductionpipeline - Contains the libraries used by the Rendering Engine application
• acl-renderingengine - Contains Agile Live’s default Rendering Engine application
• acl-libcontroldatasender - Contains the libraries used by Control Panel applications
• acl-controlpanels - Contains the generic Control Panel applications
• acl-dev - Contains the header files required for development of custom Control Panels and Rendering Engines

All binaries will be installed in the directory /opt/agile_live/bin. Libraries are installed in /opt/agile_live/lib. Header files are installed in /opt/agile_live/include.

Ingest

To install the Ingest application, install the following .deb-packages:

sudo apt -y install ./acl-ingest_<version>_amd64.deb ./acl-libingest_<version>_amd64.deb

Rendering engine

To install the Rendering Engine application, install the following .deb-packages:

sudo apt -y install ./acl-renderingengine_<version>_amd64.deb ./acl-libproductionpipeline_<version>_amd64.deb

Control panels

To install the generic Control Panel applications acl-manualcontrolpanel, acl-tcpcontrolpanel and acl-websocketcontrolpanel, install the following .deb-packages:

sudo apt -y install ./acl-controlpanels_<version>_amd64.deb ./acl-libcontroldatasender_<version>_amd64.deb

Dev

To install the acl-dev package containing the header files needed for building your own applications, install the following .deb-package:

sudo apt -y install ./acl-dev_<version>_amd64.deb

Configuring and starting the Ingest(s)

The Ingest component is a binary which ingests raw video input sources such as SDI or NDI, timestamps, processes, encodes and originates transport to the rest of the platform.

Settings for the ingest binary are added as environment variables. There is one setting that must be set:

• ACL_SYSTEM_CONTROLLER_PSK shall be set to the same as in the settings file of the System Controller

Also, there are some parameters that have default settings that you will most probably want to override:

• ACL_SYSTEM_CONTROLLER_IP and ACL_SYSTEM_CONTROLLER_PORT shall be set to the location where the System Controller is hosted
• ACL_INGEST_NAME is optional but is well used as an aid to identify the Ingest in the REST interface if multiple instances are connected to the same System Controller

You may also want to set the log location by setting ACL_LOG_PATH. The log location defaults to /tmp/.

As an example, from the installation directory, the Ingest is started with:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q" ACL_INGEST_NAME="My Ingest" ./acl-ingest

If started successfully, it will display a log message showing that the Ingest is up and running.

Running the Ingest SW as a service

It may be useful to run the Ingest SW as a service in Ubuntu, so that it starts automatically on boot and restarts if it terminates abnormally. In Ubuntu 22.04 systemd manages the services. Here follows an example of how a service can be configured, started and monitored.

First create a “service unit file”, named for example /etc/systemd/system/acl-ingest.service and put the following in it:

[Unit]
Description=Agile Live Ingest service

[Service]
User=<YOUR_USER>
Environment=ACL_SYSTEM_CONTROLLER_PSK=<YOUR_PSK>
ExecStart=/bin/bash -c '\
source /opt/intel/oneapi/setvars.sh; \
exec /opt/agile_live/bin/acl-ingest'
Restart=always

[Install]
WantedBy=multi-user.target

Replace <YOUR_USER> with the user that will be executing the Ingest binary on the host machine. The Environment attribute should be set in the same way as described above for manually starting the binary.

After saving the service unit file, run:

sudo systemctl daemon-reload
sudo systemctl enable acl-ingest.service
sudo systemctl start acl-ingest

The service should now be started. The status of the service can be queried using:

sudo systemctl status acl-ingest.service

Configuring and starting the Production pipeline(s) including rendering engine

The production pipeline component and the rendering engine component are combined into one binary named acl-renderingengine and terminates transport of media streams from ingests, demuxes, decodes, aligns according to timestamps and clock sync, separately mixes audio and video (including HTML-based graphics insertion) and finally encodes, muxes and originates transport of finished mixed outputs as well as multiviews.

It is possible to run just one production pipeline if doing direct editing (the “traditional way”, in the stream) or to use two pipelines in order to set up a proxy editing workflow. In the latter case, there is one designated for the Low Delay flow which will be used for quick feedbacks on the editing commands and one designated for High Quality flows which will produce the final quality stream to broadcast to the viewers. The Production Pipeline is simply called a “pipeline” in the REST API. The rendering engine is not managed through the REST API but rather through the control command API from the control panels.

Settings for the production pipeline binary are added as environment variables. There is one setting that must be set:

• ACL_SYSTEM_CONTROLLER_PSK shall be set to the same as in the settings file of the System Controller

Also, there are some parameters that have default settings that you will most probably want to override:

• ACL_SYSTEM_CONTROLLER_IP and ACL_SYSTEM_CONTROLLER_PORT shall be set to the location where the System Controller is hosted
• ACL_RENDERING_ENGINE_NAME is needed to identify the different production pipelines in the REST API and shall thus be set uniquely and descriptively
• ACL_MY_PUBLIC_IP shall be set to the IP address or hostname where the ingest shall find the production pipeline. If the production pipeline is behind a NAT or needs DNS resolving, setting this variable is necessary
• DISPLAY is needed but may already be set by the operating system. If not (because the server is headless) it needs to be set.

You may also want to set the log location by setting ACL_LOG_PATH. The log location defaults to /tmp/.

Here is an example of how to start two instances (one for Low Delay flow and one for High Quality Flow) of the acl-renderingengine application and name them accordingly so that you and the GUI can tell them apart. First start the Low Delay instance by running:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q" ACL_RENDERING_ENGINE_NAME="My LD Pipeline" ./acl-renderingengine

Then start the High Quality Rendering Engine in the same way:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q" ACL_RENDERING_ENGINE_NAME="My HQ Pipeline" ./acl-renderingengine

Configuring and starting the generic Control Panels

TCP control panel

acl-tcpcontrolpanel is a control panel application that starts a TCP server on a configurable set of endpoints and relays control commands over a control connection if one has been set up. It is preferably run geographically very close to the control panel whose control commands it will relay, but can alternatively run close to the production pipeline that it is connected to. To start with, it is easiest to run it on the same machine as the associated production pipeline.

Settings for the tcp control panel binary are added as environment variables. There is one setting that must be set:

• ACL_SYSTEM_CONTROLLER_PSK shall be set to the same as in the settings file of the System Controller

Also, there are some parameters that have default settings that you will most probably want to override:

• ACL_SYSTEM_CONTROLLER_IP and ACL_SYSTEM_CONTROLLER_PORT shall be set to the location where the System Controller is hosted
• ACL_CONTROL_PANEL_NAME can be set to make it easier to identify the control panel through the REST API
• ACL_TCP_ENDPOINT from release 6.0.0 on, contains the IP address and port of the TCP endpoint to be opened, written as <ip>:>port>. Several clients can connect to the same listening port. In release 5.0.0 and earlier, instead use ACL_TCP_ENDPOINTS, a comma-separated list of endpoints to be opened, where each endpoint is written as <ip>:>port>

You may also want to set the log location by setting ACL_LOG_PATH. The log location defaults to /tmp/.

As an example, from the installation directory, the tcp control panel is started with:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q" ACL_TCP_ENDPOINT=0.0.0.0:7000 ACL_CONTROL_PANEL_NAME="My TCP Control Panel" ./acl-tcpcontrolpanel

Websocket control panel

acl-websocketcontrolpanel is a control panel application that acts as a websocket server, and relays control commands that come in over websockets that are opened typically by web-based GUIs.

The basic settings are the same as for the tcp control panel. But to specify where the websocket server shall open an endpoint, use this environment variable:

• ACL_WEBSOCKET_ENDPOINT is the endpoint to listen for incoming messages on. On the form <ip>:<port>

You may also want to set the log location by setting ACL_LOG_PATH. The log location defaults to /tmp/.

An example of how to start it is the following:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q ACL_WEBSOCKET_ENDPOINT=0.0.0.0:6999 ACL_CONTROL_PANEL_NAME="My Websocket Control Panel" ./acl-websocketcontrolpanel

Manual control panel

acl-manualcontrolpanel is a basic Control Panel application operated from the command line.

The basic settings are the same as for the other generic control panels but it does not open any network endpoints for input, instead the control commands are written in the terminal. It can be started with:

ACL_SYSTEM_CONTROLLER_IP="10.10.10.10" ACL_SYSTEM_CONTROLLER_PORT=8080 ACL_SYSTEM_CONTROLLER_PSK="FBCZeWB3kMj5me58jmcpmEd3bcPZbp4q ACL_CONTROL_PANEL_NAME="My Manual Control Panel" ./acl-manualcontrolpanel

1.3.3.1 - NTP

To ensure that all ingest servers and production pipelines are in sync, a clock synchronization protocol called NTP is required. Historically that has been handled by a systemd service service called timesyncd.

Chrony

Starting from version 4.0.0 of Agile Live the required NTP client has switched from systemd-timesyncd to chrony. Chrony is installed by defualt in many Linux distributions since it has a lot of advantages over using systemd-timesyncd. Some of the advantages are listed below.

• Full NTP support (systemd-timesyncd only supports Simple NTP)
• Syncing against multiple servers
• More complex but more accurate
• Gradually adjusts the system time instead of hard steps

Installation

Install chrony with:

$ sudo apt install chrony

This will replace systemd-timesyncd if installed.

NTP servers

The default configuration for chrony uses a pool of 8 NTP servers to synchronize against. It is recommended to use these default servers hosted by Ubuntu. Verify that the configuration is valid by checking the configuration file after installing.

$ cat /etc/chrony/chrony.conf
...
pool ntp.ubuntu.com        iburst maxsources 4
pool 0.ubuntu.pool.ntp.org iburst maxsources 1
pool 1.ubuntu.pool.ntp.org iburst maxsources 1
pool 2.ubuntu.pool.ntp.org iburst maxsources 2
...

The file should also contain the line below for the correct handling of leap seconds. It is used to set the leap second timezone to get the correct TAI time.

leapsectz right/UTC

Useful Commands

For a simple check to see that the system time is synchronized, run:

$ timedatectl
               Local time: Wed 2023-03-08 08:23:37 CET
           Universal time: Wed 2023-03-08 07:23:37 UTC
                 RTC time: Wed 2023-03-08 07:23:37
                Time zone: Europe/Stockholm (CET, +0100)
System clock synchronized: yes
              NTP service: active
          RTC in local TZ: no

To get more details on how the system time is running compared to NTP, use the chrony client chronyc. The subcommand tracking shows information about the current system time and the selected time server used.

$ chronyc tracking
Reference ID    : C23ACA14 (sth1.ntp.netnod.se)
Stratum         : 2
Ref time (UTC)  : Wed Mar 08 07:23:37 2023
System time     : 0.000662344 seconds slow of NTP time
Last offset     : -0.000669114 seconds
RMS offset      : 0.001053432 seconds
Frequency       : 10.476 ppm slow
Residual freq   : +0.001 ppm
Skew            : 0.295 ppm
Root delay      : 0.007340557 seconds
Root dispersion : 0.001045418 seconds
Update interval : 1028.7 seconds
Leap status     : Normal

The sources subcommand to get a list of the other time servers that chrony uses.

$ chronyc sources -v

  .-- Source mode  '^' = server, '=' = peer, '#' = local clock.
 / .- Source state '*' = current best, '+' = combined, '-' = not combined,
| /             'x' = may be in error, '~' = too variable, '?' = unusable.
||                                                 .- xxxx [ yyyy ] +/- zzzz
||      Reachability register (octal) -.           |  xxxx = adjusted offset,
||      Log2(Polling interval) --.      |          |  yyyy = measured offset,
||                                \     |          |  zzzz = estimated error.
||                                 |    |           \
MS Name/IP address         Stratum Poll Reach LastRx Last sample
===============================================================================
^- prod-ntp-5.ntp4.ps5.cano>     2   6    17     8    +59us[  -11us] +/-   23ms
^- pugot.canonical.com           2   6    17     7  -1881us[-1951us] +/-   48ms
^+ prod-ntp-4.ntp1.ps5.cano>     2   6    17     7  -1872us[-1942us] +/-   24ms
^+ prod-ntp-3.ntp1.ps5.cano>     2   6    17     6   +878us[ +808us] +/-   23ms
^- ntp4.flashdance.cx            2   6    17     7   -107us[ -176us] +/-   34ms
^+ time.cloudflare.com           3   6    17     8   -379us[ -449us] +/- 5230us
^* time.cloudflare.com           3   6    17     8   +247us[ +177us] +/- 5470us
^- ntp5.flashdance.cx            2   6    17     7  -1334us[-1404us] +/-   34ms

Leap seconds

Due to small variations in the Earth’s rotation speed a one second time adjustment is occasionally introduced in UTC (Coordinated Universal Time). This is usually handled by stepping back the clock in the NTP server one second. These hard steps could cause problems in such a time critical product as video production. To avoid this the system uses a clock known as TAI (International Atomic Time), which does not introduce any leap seconds, and is therefore slightly offset from UTC (37 seconds in 2023).

Leap smearing

Another technique for handling the introduction of a new leap second is called leap smearing. Instead of stepping back the clock in on big step, the leap second is introduced in many minor microsecond intervals during a longer period, usually over 12 to 24 hours. This technique is used by most of the larger cloud providers. Most NTP servers that use leap smearing don’t announce the current TAI offset and will thereby cause issues if used in combination with systems that are using TAI time. It is therefore highly recommended to use Ubuntu’s default NTP servers as described above, as none of these use leap smearing. Mixing leap smearing and non-leap smearing time servers will result in that components in the system will have clocks that are off from each other by 37 seconds (as of 2023), as the ones using leap smearing time servers without TAI offset will set the TAI clock to UTC.

1.3.3.2 - Linux settings

UDP buffers

To improve the performance while receiving and sending multiple streams, and not overflow UDP buffers (leading to receive buffer errors as identified using e.g. ‘netstat -suna’), it is recommended to adjust some UDP buffer settings on the host system.

Recommended value of the buffers is 16MB, but different setups may need larger buffers or would suffice with lower values. To change the buffer values issue:

sudo sysctl -w net.core.rmem_default=16000000
sudo sysctl -w net.core.rmem_max=16000000
sudo sysctl -w net.core.wmem_default=16000000
sudo sysctl -w net.core.wmem_max=16000000

To make the changes persistant edit/add the values to /etc/sysctl.conf:

net.core.rmem_default=16000000
net.core.rmem_max=16000000

net.core.wmem_default=16000000
net.core.wmem_max=16000000

Core dump

On the rare occasion that a segmentation fault or a similar error should occur, a core dump is generated by the operating system to record the state of the application to aid in troubleshooting. By default these core dumps are handled by the ‘apport’ service in Ubuntu and not written to file. To store them to file instead we recommend installing the systemd core dump service.

sudo apt install systemd-coredump

Core dumps will now be compressed and stored in /var/lib/systemd/coredump.

The systemd core dump package also includes a helpful CLI tool for accessing core dumps.

List all core dumps:

$ coredumpctl list

TIME                            PID   UID   GID SIG COREFILE  EXE
Thu 2022-10-20 17:24:16 CEST 985485  1007  1008  11 present   /usr/bin/example

You can print some basic information from the core dump to send to the Agile Live developer to aid debugging the crash

$ coredumpctl info 985485

In some cases, the developers might want to see the entire core dump to understand the crash, then save the core dump using

$ coredumpctl dump 985485 --output=myfilename.coredump

Core dumps will not persist between reboots.

1.3.3.3 - Disabling unattended upgrades of CUDA toolkit

CUDA Driver/library mismatch

Per default Ubuntu runs automatic upgrades on APT installed packages every night, a process called unattended upgrades. This will sometimes cause issues when the unattended upgrade process tries to update the CUDA toolkit, as it will be able to update the libraries, but cannot update the driver, as it is in use by some application. The result is that the CUDA driver cannot be used because of the driver-library mismatch and the Agile Live applications will fail to start. In case an Agile Live application fails to start with some CUDA error, the easiest way to see if this is because of a driver-library mismatch, is to run nvidia-smi in a terminal and check the output:

$ nvidia-smi
Failed to initialize NVML: Driver/library version mismatch

In case this happens, just reboot the machine and the new CUDA driver should be loaded instead of the old one at startup. (It is sometimes possible to manually reload the CUDA driver without rebooting, but this can be troublesome as you have to find all applications using the driver)

How to disable unattended upgrades of CUDA toolkit

One way to get rid of these unpleasant surprises when the applications suddenly no longer can start, without disabling unattended upgrades for other packages, is to blacklist the CUDA toolkit from the unattended upgrades process. This will make Ubuntu still update other packages, but CUDA toolkit will require a manual upgrade, which can be done at a suitable time point.

To blacklist the CUDA driver, open the file /etc/apt/apt.conf.d/50unattended-upgrades in a text editor and look for the Unattended-Upgrade::Package-Blacklist block. Add "cuda" and "(lib)?nvidia" to the list, like so:

// Python regular expressions, matching packages to exclude from upgrading
Unattended-Upgrade::Package-Blacklist {
    "cuda";
    "(lib)?nvidia";
};

This will disable unattended upgrades for packages with names starting with cuda, libnvidia or just nvidia.

How to manually update CUDA toolkit

Once you want to manually update the CUDA toolkit and the driver, run the following commands:

$ sudo apt update
$ sudo apt upgrade
$ sudo apt install cuda

This will likely trigger the driver-library mismatch in case you run nvidia-smi. Then reboot the machine to reload the new driver.

Sometimes a reboot is required before the cuda package can be installed, so in case the upgrade did not work the first time, try a reboot, then apt install cuda and then reboot again.

1.3.3.4 - Installing older releases

This page describes a couple of steps in installing the base platform that are specific for releases 5.0.0 and older, and replaces these sections in the main documentation.

Base packages installed via ‘apt’

To make it possible to run the Ingest and Rendering Engine, some packages must be installed. The following base packages can be installed with the apt package manager:

sudo apt -y update && sudo apt -y upgrade && sudo apt -y install libssl3 libfdk-aac2 libopus0 libcpprest2.10 libspdlog1 libfmt8 libsystemd0 chrony libcairo2 systemd-coredump

The systemd-coredump package in the list above is really handy to have installed to be able to debug core dumps later on.

Installing the Agile Live components

Extract the following release artifacts from the release files listed under Releases:

• Ingest application consisting of binary acl-ingest and shared library libacl-ingest.so
• Production pipeline library libacl-productionpipeline.so and associated header files
• Rendering engine application acl-renderingengine
• Production control panel interface library libacl-controldatasender.so and associated header files
• Generic control panel applications acl-manualcontrolpanel, acl-tcpcontrolpanel and acl-websocketcontrolpanel

1.3.4 - Configuration and monitoring GUI

The following guide will show how to run the configuration and monitoring GUI using Docker compose. The OS specific parts of the guide, how to install Docker and aws-cli, is written for Ubuntu 22.04.

Install Docker Engine

First install Docker on the machine you want to run the GUI and the GUI database:

sudo apt-get update
sudo apt-get install ca-certificates curl gnupg
sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg
echo \
  "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

Login to Docker container registry

To access the Agile Docker container registry to pull the GUI image, you need to log in install and log into AWS CLI

Install AWS CLI:

sudo apt-get install unzip
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install

Configure AWS access, use the access key id and secret access key that you should have received from Agile Content. Set region to eu-north-1 and leave output format as None (just hit enter):

aws configure --profile agile-live-gui

AWS Access Key ID [None]: AKIA****************
AWS Secret Access Key [None]: ****************************************
Default region name [None]: eu-north-1
Default output format [None]:

Login to Agile’s AWS Elastic Container Repository to be able to pull the container image: 263637530387.dkr.ecr.eu-north-1.amazonaws.com/agile-live-gui. If your user is in the docker group, sudo part can be skipped.

aws --profile agile-live-gui ecr get-login-password | sudo docker login --username AWS --password-stdin 263637530387.dkr.ecr.eu-north-1.amazonaws.com

MongoDB configuration

The GUI uses MongoDB to store information. When starting up the MongoDB Docker container it will create a database user that the GUI backend will use to communicate with the Mongo database.

Create the file mongo-init.js for the API user (replace <API_USER> and <API_PASSWORD> with a username and password of your choice):

productionsDb = db.getSiblingDB('agile-live-gui');

productionsDb.createUser({
  user: '<API_USER>',
  pwd: '<API_PASSWORD>',
  roles: [{ role: 'readWrite', db: 'agile-live-gui' }]
});

Create a docker-compose.yml file

Create a file docker-compose.yml to start the GUI backend and the MongoDB instance. Give the file the following content:

version: '3.7'

services:
  agileui:
    image: 263637530387.dkr.ecr.eu-north-1.amazonaws.com/agile-live-gui:latest
    container_name: agileui
    environment:
      MONGODB_URI: mongodb://<API_USER>:<API_PASSWORD>@mongodb:27017/agile-live-gui
      AGILE_URL: https://<SYSTEM_CONTROLLER_IP>:<SYSTEM_CONTROLLER_PORT>
      AGILE_CREDENTIALS: <SYSTEM_CONTROLLER_USER>:<SYSTEM_CONTROLLER_PASSWORD>
      NODE_TLS_REJECT_UNAUTHORIZED: 1
      NEXTAUTH_SECRET: <INSERT_GENERATED_SECRET>
      NEXTAUTH_URL: http://<SERVER_IP>:<SERVER_PORT>
      BCRYPT_SALT_ROUNDS: 10
      UI_LANG: en
    ports:
      - <HOST_PORT>:3000

  mongodb:
    image: mongo:latest
    container_name: mongodb
    environment:
      MONGO_INITDB_ROOT_USERNAME: <MONGODB_USERNAME>
      MONGO_INITDB_ROOT_PASSWORD: <MONGODB_PASSWORD>
    ports:
      - 27017:27017
    volumes:
      - ./mongo-init.js:/docker-entrypoint-initdb.d/mongo-init.js:ro
      - ./mongodb:/data/db

Details about some of the parameters:

• image - Use latest tag for always starting the latest version, set to :X.Y.Z to lock on a specific version.
• ports - Internally port 3000 is used, open a mapping from your HOST_PORT of choice to access the GUI at.
• extra_hosts - Adding “host.docker.internal:host-gateway” makes it possible for docker container to access host machine from host.docker.internal
• MONGODB_URI - The mongodb connection string including credentials, API_USER and API_PASSWORD should match what you wrote in mongo-init.js
• AGILE_URL - The URL to the Agile-live system controller REST API
• AGILE_CREDENTIALS - Credentials for the Agile-live system controller REST API, used by backend to talk to the Agile-live REST API.
• NODE_TLS_REJECT_UNAUTHORIZED - Set to 0 to disable SSL verification. This is useful if testing using self-signed certs
• NEXTAUTH_SECRET - The secret used to encrypt the JWT Token, can be generated by openssl rand -base64 32
• NEXTAUTH_URL - The base url for the service, used for redirecting after login, eg. http://my-host-machine-ip:3000
• BCRYPT_SALT_ROUNDS - The number of salt rounds the bcrypt hashing function will perform, you probably don’t want this higher than 13 ( 13 = ~1 hash/second )
• UI_LANG - Set language for the user interface (en|sv). Default is en
• MONGODB_USERNAME - Select a username for a root user in MongoDB
• MONGODB_PASSWORD - Select a password for your root user in MongoDB

Start, stop and signing in to the Agile-live GUI

Start the UI container by running Docker compose in the same directory as the docker-compose.yml file`:

sudo docker compose up -d

Once the containers are started you should now be able to reach the GUI at the host-port that you selected in the docker-compose.yml-file.

To login to the GUI, use username admin and type a password longer than 8 characters. This password will now be stored in the database and required for any new logins. For more information on how to reset passwords and add new users, read more here

After signing in to the GUI, the statuses in the bottom left should all be green, else there is probably a problem in your System Controller or database configuration in the docker-compose.yml-file.

To stop the GUI and database container run:

sudo docker compose down

Installing support for VLC on client machine, to open Multiview directly from GUI:

On Windows operating system, the GUI supports redirecting the user via links to VLC. To make this work, the following open-source program needs to be installed: https://github.com/stefansundin/vlc-protocol/tree/main

This is not supported on Linux or Mac.

1.3.4.1 - Custom MongoDB installation

This page contains instruction on making a manual installation of MongoDB, instead of running MongoDB in Docker as is described here. In most cases we recommend running MongoDB in Docker, as it is easier to set up and manage.

Custom installation of MongoDB

Install the database software, MongoDB.

sudo apt-get install gnupg
curl -fsSL https://pgp.mongodb.com/server-6.0.asc | \
   sudo gpg -o /usr/share/keyrings/mongodb-server-6.0.gpg \
   --dearmor
echo "deb [ arch=amd64,arm64 signed-by=/usr/share/keyrings/mongodb-server-6.0.gpg ] https://repo.mongodb.org/apt/ubuntu jammy/mongodb-org/6.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-6.0.list
sudo apt-get update
sudo apt-get install -y mongodb-org

Create a /etc/mongod.conf that contains the following:

# mongod.conf

# for documentation of all options, see:
#   http://docs.mongodb.org/manual/reference/configuration-options/

# Where and how to store data.
storage:
  dbPath: /var/lib/mongodb
#  engine:
#  wiredTiger:

# where to write logging data.
systemLog:
  destination: file
  logAppend: true
  path: /var/log/mongodb/mongod.log

# network interfaces
net:
  port: 27017
  bindIp: 0.0.0.0


# how the process runs
processManagement:
  timeZoneInfo: /usr/share/zoneinfo

security:
  authorization: enabled

#operationProfiling:

#replication:

#sharding:

## Enterprise-Only Options:

#auditLog:

#snmp:

Then start the database

sudo systemctl enable mongod
sudo systemctl start mongod

Create the file ~/mongosh-admin.js containing (replace <ADMIN_PASSWORD>):

use admin
db.createUser(
  {
    user: "admin",
    pwd: "<ADMIN_PASSWORD>",
    roles: [
      { role: "userAdminAnyDatabase", db: "admin" },
      { role: "readWriteAnyDatabase", db: "admin" }
    ]
  }
)

Create the admin user

mongosh localhost < ~/mongosh-admin.js

Create the file ~/mongosh-api.js for the API user (replace <API_PASSWORD>):

productionsDb = db.getSiblingDB('agile-live-gui');

productionsDb.createUser({
  user: 'api',
  pwd: '<API_PASSWORD>',
  roles: [{ role: 'readWrite', db: 'agile-live-gui' }]
});

Create the API user

mongosh -u admin -p <ADMIN_PASSWORD> < ~/mongosh-api.js

1.3.5 - Prometheus and Grafana for monitoring

To collect useful system metrics for stability and performance monitoring, we advise to use Prometheus. For visualizing the metrics collected by Prometheus you could use Grafana.

The System controller receives a lot of internal metrics from the Agile Live components. These can be pulled by a Prometheus instance from the endpoint https://system-controller-host:8080/metrics.

It is also possible to install external exporters for various hardware and OS metrics.

Prometheus

Installation

Use this guide to install Prometheus: https://prometheus.io/docs/prometheus/latest/installation/.

Configuration

Prometheus should be configured to poll or scrape the system controller with something like this in the prometheus.yml file:

scrape_configs:
  - job_name: 'system_controller_exporter'
    scrape_interval: 5s
    scheme: https
    tls_config:
      insecure_skip_verify: true
    static_configs:
    - targets: ['system-controller-host:8080']

External exporters

Node Exporter

Node Exporter is an exporter used for general hardware and OS metrics, such as CPU load and memory usage.

Instructions for installation and configuration can be found here: https://github.com/prometheus/node_exporter

Add a new scrape_config in prometheus.yml like so:

  - job_name: 'node_exporter'
    scrape_interval: 15s
    static_configs:
    - targets: ['node-exporter-host:9100']

DCGM Exporter

This exporter uses Nvidia DCGM to gather metrics from Nvidia GPUs. Includes encoder and decoder utilization.

More info and installation instructions to be found here: https://github.com/NVIDIA/dcgm-exporter

Add a new scrape_config in prometheus.yml like so:

  - job_name: 'dcgm_exporter'
    scrape_interval: 15s
    static_configs:
    - targets: ['dcgm-exporter-host:9400']

Grafana

Installation of Grafana is described here: https://grafana.com/docs/grafana/latest/setup-grafana/installation/

As a start, the following Dashboards can be used to visualize the Node Exporter and DCGM Exporter data:

• Node Exporter dashboard
• DCGM Exporter dashboard

Example of running Node Exporter and DCGM Exporter with Docker Compose

To simplify setup of the Node Exporter and DCGM Exporter on multiple machines to monitor, the following example Docker Compose file can be used. First, after a normal installation of Docker and the Docker Compose plugin, the Nvidia Container Toolkit must be installed and configured to allow access to the Nvidia GPU from inside a Docker container:

sudo apt-get install -y nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker

Then the following example docker-compose.yml file can be used to start both the Node Exporter and the DCGM Exporter:

version: '3.8'

services:
  node_exporter:
    image: quay.io/prometheus/node-exporter:latest
    container_name: node_exporter
    command:
      - '--path.rootfs=/host'
    network_mode: host
    pid: host
    restart: unless-stopped
    volumes:
      - '/:/host:ro,rslave'

  dcgm_exporter:
    image: nvcr.io/nvidia/k8s/dcgm-exporter:3.3.3-3.3.1-ubuntu22.04
    container_name: dcgm_exporter
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [ gpu ]
    restart: unless-stopped
    environment:
      - DCGM_EXPORTER_NO_HOSTNAME=1
    cap_add:
      - SYS_ADMIN
    ports:
      - "9400:9400"

Start the Docker containers as usual with docker compose up -d. To verify the exporters work, you can use Curl to access the metrics data like: curl localhost:9100/metrics for the Node Exporter and curl localhost:9400/metrics for the DCGM exporter. Note that the DCGM exporter might take several seconds before the first metrics are collected, resulting in that the first requests might yield an empty response body.

1.3.6 - Control panel GUI examples

The rendering engine, which contains the video mixer, HTML renderer, audio mixer, etc., is configured and controlled via a control command API over the control connections. Some source code examples of control panel integrations are provided, together with 3rd party software recommendations. All these use the generic control panels as proxies when communicating with the rendering engine. However, it is recommended for integrators to, when possible, write their own control panel integrations using the libraries and header files provided by the base layer of the platform instead of relaying the commands via the generic control panels.

Streamdeck and Companion

A good first starting point for a control panel to control the video (and audio) mixer is to use an Elgato Streamdeck in combination with the open source software Bitfocus Companion.

The source code examples

Unzip the file agile-live-unofficial-tools-5.0.0.zip to find several different source code examples of control panel integrations in various languages. Some communicate with the generic tcp control panel, some with the generic websocket control panel, some directly with the REST API. The source code is free to reuse and adapt.

The audio control interface and GUI

An example audio control panel interface and GUI is provided as source code in Python 3. It attempts to find a control panel HW, either the Korg nanoKONTROL2 or Behringer X-Touch Extender, via MIDI and to communicate with it using the Mackie Control protocol. (Note that the Korg nanoKONTROL2 does not use the Maicke protocol by default. Refer to the nanoKONTROL2 user manual on how to set it up)

The audio control panel uses the tkinter GUI library in the Python standard libraries, and also depends upon the python packages python_rtmidi and mido which can be installed using pip3 install.

The chroma key control panels

There is a Python3+tkinter-based GUI for configuring the chroma key (“green screen”) functionality, which communicates with the generic tcp control panel.

There is also a HTML-based version that communicates with the generic websocket control panel.

The thumbnail viewer

The thumbnail viewer is an example web GUI to poll the REST API and visualize all ingests and sources that are connected to a given System Controller. Thumbnails of all sources are shown, and updated every 5 seconds.

1.4 - Tutorials and How-To's

1.4.1 - Getting Started

Prerequisites

A working knowledge of the technical basis of the Agile Live solution is beneficial when starting with this tutorial but not required. It is assumed that sufficient hardware has been provided, i.e.:

• at least one server to be used for ingesting media via an SDI capture card or as NDI via a network interface
• at least one server to be used for running the production pipeline(s) including the rendering engine that performs the video and audio mixing, as well as the generic control panels
• one server that will run all management and orchestration software, including the System Controller, the configuration-and-monitoring GUI, the Prometheus database and the associated Grafana instance
• at least one computer that will have control panel hardware connected to it, run the control panel integration software, and receive and display the multiview video stream and the monitor feed media stream

The servers may be in the field, in a datacenter or in a private or public cloud. For cloud VMs, the requirement is that they have Nvidia GPUs with NvEnc+NvDec support. All major cloud providers have VMs with Nvidia T4’s.

In a very minimal system not all of these machines need to be separate; in fact, all the above could run on a single computer if so is desired. Recommended hardware requirements for the servers running the ingest and production pipelines can be found here.

Installing all components

A guide to installing all the components of the system can be found here, start by following it.

Using the configuration-and-monitoring GUI to set up and monitor a production workflow

A guide on how to use the basic configuration-and-monitoring GUI to set up a working system can be found here.

Using the Grafana dashboard example

Viewing the multiview and outputs

The multiview and outputs (low delay monitor feed and high quality program out) are sent from the platform as MPEG TS streams in SRT or UDP. For viewing the streams, please refer to this guide.

Creating a video mixer control panel in Companion

A good starting point for a video mixer control panel is to use Bitfocus Companion with an Elgato Streamdeck device. Some guidelines for how to use those to build a video mixer control panel for Agile Live can be found here

Using the audio control GUI

There is an example audio control panel integration that also includes a GUI. A guide on how to use it can be found here

1.4.2 - Using the configuration-and-monitoring GUI

Using the configuration-and-monitoring GUI to set up and monitor a production workflow

When loading the configuration and monitoring GUI in a web browser the first screen you will encounter is the login screen. Log in using the credentials that you set when installing. After logging in you will see the home screen. Make sure that the bottom strip says that the System Controller is online and that the database is online.

Configure sources

On the home screen, click the Inventory Management button. This will take you to the inventory management page. On the left side there is a list of all sources in the system at the moment. It is possible to filter the list based on source type, location, and active state. For each source, it is possible (and recommended) to click the Edit button to open the source configuration editing page. It is recommended to set a descriptive name (e.g. “Front wide camera”), a type, and a location for the source. This view is also used to configure which embedded audio channels to transport up to the production pipelines. Click Save to save your changes and exit this page and return to the inventory management page. Repeat the process for each source. Whenever a new source is added to the system, it is recommended to perform this step on it. Press the Home button to return to the home screen.

Create and start a production configuration

A production configuration is a description of how the system is configured for a specific production workflow, e.g. a TV program. On the home screen, click the Create New button to create a new production configuration. Give it a decriptive name, e.g. “Stockholm local news”, and click the Create button. This will bring you to the configuration page for the new production configuraton. Click Add Source to add a source to this production configuration. This will bring out a list of available sources on the left side of the screen. Again, it is possible to filter the sources the same way as on the inventory management page. Click Add for the sources that you want to have in your production configuration. The order of the sources is the same as the order they will be presented in the multiviewer. To change the order, drag and drop them. For each source, it is possible to set the UMD text by clicking the name above the thumbnail and editing it.

A preset is a collection of all the detailed variables of each part of the production configuration that will be set up. This includes detailed quality settings, network latency settings, etc. To choose a preset for your current production configuration, click Select Preset and select one of the pre-defined presets. Once that has been done, some settings can be edited by clicking the button with the cogwheel icon.

To run a production configuration click the Start button. Once the production is started, click the Home button to return to the home screen.

Use the runtime monitoring

On the top of the screen there will now be a pane for each pipeline that is running, and information on where to find the multiview and output streams. For the production configuration that is currently running, there is a Runtime Monitoring button, that is either green if all is well, or red if there are any error counters that have increased in the last minute. Clicking the button takes you to the runtime monitoring screen.

The runtime monitoring screen is built as an expanding tree, where each level and instance has a status icon that is either green or red. This way it is very easy to trace an error through the tree down to the erroring counter. On the lowest level, the actual counters can have three colors. White means it is an informational counter that cannot indicate an error. Green color means that the counter is able to indicate an error but at the moment it is fine. Red color means that the counter is currently indicating an error. Such a counter is red if it has increased in the last 60 seconds. A red counter will revert to green after 60 seconds without increasing.

Editing the database

To add or edit production presets and new users, the Mongo database can be manually edited.

The GUI tool MongoDB Compass can be used to edit the database, but MongoDB Shell and other MongoDB tools will also work. Since you connect to the MongoDB via the network, Compass can be used on any computer with network access to the GUI server on port 27017.

After installing MongoDB Compass, connect to the database by pressing the “New Connection” button. In the URI field, exchange localhost for the hostname of the GUI server (unless you run Compass on the same server as the GUI, of course). Add agile_live_gui last in the URL-field, to access the GUI database only. Then under Advanced Connection Options, select Authentication and use method Username/Password. Type the <API_USER> and <API_PASSWORD> you put in the mongo-init.js file when setting up the GUI server. The URI field should then look something like:

mongodb://<API_USER>:<API_PASSWORD>@<HOSTNAME>:27017/agile-live-gui?authMechanism=DEFAULT

Add or edit production presets

Once connected you will see the databases to the left. The database agile-live-gui contains the collections used by the GUI. To add a new, or modify an old production preset, open the presets collection under the agile-live-gui database. To create a new preset, the easiest way is to clone an old preset and make your changes to it. Hover your mouse over one of the presets you want to clone, and press the Clone document button on the top right of the preset. In the popup window you can make your edits to the new preset. Most important is to set a new name for it in the "name" field. This is the name that will be displayed in the GUI when selecting which preset to use. Under pipelines the quality settings for the streams from the Ingests to the Pipelines can be set.

Add new users to the system

New users to the GUI can be added to the Mongo database as well. Open the users collection under the agile-live-gui database. Then add a new user by pressing the Clone document button on one of the existing users. In the popup window, set the username of the new user and remove the hashed password, leaving the password field empty (i.e. "password": ""). Press insert to add the new user to the database. Then open the GUI in a web browser. On the sign-in page, write the username of the new user and then type a password to set it as the new password in the database. A new password must have at least 8 characters to be approved.

1.4.3 - Viewing the multiview and outputs

Viewing the multiview and outputs

The multiview and outputs (low delay monitor feed and high quality program out) are sent from the platform as MPEG TS streams in SRT or UDP. For viewing the streams, VLC can be used. For the multiview and low delay monitoring feeds it is important that the viewer does not add a lot of buffering delay. Therefore there is a need to configure it not to do so. The setting network-caching can be used to set the buffering. It can be done in the VLC GUI in settings, or on the command line by specifying --network-caching=140 when starting VLC, for example when using Windows:

C:\Program Files (x86)\VideoLAN\VLC\vlc.exe" --network-caching=140 srt://mydomain:9900

1.4.4 - Creating a video mixer control panel in Companion

Create buttons in Companion by using the action tcp-udp: Send Command to send control commands that are listed here

An example companion config can be found here

1.4.5 - Using the audio control GUI

The audio control GUI is written in Python and should run in all systems that have Python3. However, since it uses tkinter and the native support of tkinter on some platforms is not perfect, there may occur problems. The application is verified to work on Ubuntu 22.04.

It is started with: ./acl_audio_control.py

First connect to an open TCP port on an acl-tcpcontrolpanel by setting the correct IP/hostname and port under “Mixer network address”. Once connected, use the “Add strip” and “Remove strip” buttons to add and remove volume strips. Then map the audio of each strip. Select the “Slot” of the connected (video) source you want to take the audio from. Then select which channel in the source to find the audio (or to find the L channel in case of stereo, the R channel will be assumed to be the next channel) and if the strip should be a mono or stereo strip. The name of the strip can be changed by clicking on it and editing it.

Once everything is set up, the configuration can be saved with the “Save” and “Save as…” buttons. The configuration is stored as a json file.

1.4.6 - Setting up multi-view outputs using the REST API

Prerequisites

Knowledge on how to set up a system and create a production using the REST API.

The multi-view generator

The Agile Live system includes a built-in multi-view generator that can be used with any Rendering Engine and produce multiple composited mosaic video steams of selected inputs with a given layout. The multi-view generator can technically be used both in the High Quality and Low Delay pipelines, but in the general case it is only used in the Low Delay pipeline.

Start a new multi-view output stream

To start a new multi-view output stream, use the [POST] /pipelines/{uuid}/multiviews/ endpoint in the REST API, where {uuid} is the UUID of the Pipeline component from which you want to create the multi-view output (generally the Low Delay pipeline). Then provide a JSON payload to describe how the multi-view output should look. For instance:

{
  "layout": {
    "output_height": 1080,
    "output_width": 1920,
    "views": [
      {
        "width": 960,
        "height": 540,
        "x": 0,
        "y": 0
        "input_slot": 1,
        "label": "Camera 1",
      },
      ... // More views here
    ]
  },
  "output": {
    "format": "MPEG-TS-SRT",
    "frame_rate_d": 1,
    "frame_rate_n": 50,
    "ip": "0.0.0.0",
    "port": 4567,
    "video_format": "AVC",
    "video_kilobit_rate": 5000
  }
}

The description contains two parts, the layout part describing how the multi-view output will look and the output part to describe the format the stream should be encoded to. Starting with the output part, this will generate a stream of MPEG-TS over SRT format, with the SRT in server mode (IP address is 0.0.0.0) on port 4567. The frame rate is set to 50 FPS and the encoding format is set to AVC (H264) and 5000 kilobits/second. To playback the stream, use ffplay or VLC.

ffplay srt://<ip-address>:4567

or in VLC, press Media and then Open network stream and write srt://<ip-address>:4567 in the dialog that pops up. Note that the default latency in VLC is quite high (several seconds) compared to ffplay.

Multi-view layout

The layout part of the JSON payload contains a description of the multi-view. The parameters output_height and output_width defines the resolution of the main frame in pixels, i.e. the resolution of the resulting video stream. Within this frame, multiple views can be placed. Each view can display any of the input sources connected to the pipeline, or any of the auxiliary feedback outputs from the Rendering Engine, more on that below. The views are defined as a width and height of the view in pixels and the x and y position of the view inside the outer frame (the position of the top left corner of the view in pixels from the top left corner of the frame, see the illustration below). Then the content of the view is defined using the input_slot parameter and an optional label to display under the view is provided using the label parameter. In case two views overlap, the one first appearing in the view array will be drawn on top of the other one. In case the aspect ratio of the view does not match the aspect ratio of the source, the video image will be resized with its aspect ratio kept, to fit entirely inside the defined view. Areas that are not covered by the video will be filled with black.

The input_slot parameter can be any of the sources connected to an input slot in the Pipeline. Just use the same input slot as used when the source was connected using the [POST] /streams endpoint. The input_slot parameter of the multi-view layout can also be any of the auxiliary feedback outputs of the Rendering Engine, i.e. video streams that are created by the Rendering Engine. These feedback streams also have their own input_slot number. To show which such feedback streams the Rendering Engine is providing, use the [GET] /pipelines/{uuid} endpoint with the UUID of the Pipeline. The result might look something like this:

{
  "uuid": "ab552c6c-4226-a9ec-66b8-65f98753beaa",
  "name": "My LD Pipeline",
  "type": "pipeline",
  "streams": [
    ...
  ],
  "feedback_streams": [
    {
      "input_slot": 1001,
      "name": "Program"
    },
    {
      "input_slot": 1002,
      "name": "Preview"
    }
  ],
  "multiviews": [
    ...
  ]
}

In this case the Rendering Engine provides two feedback streams to the multi-view generator, one called “Program” on input_slot 1001 which is the mixed output stream and one “Preview” on input_slot 1002 which shows what the Rendering Engine is previewing right now. The “Program” output is the same as the video stream you get from the Output component connected to the same pipeline.

Tally borders

Tally borders, i.e. colored borders around the views shown in the multi-view output that tell which views are currently being used in the program output (red frame) and the preview output (green frame) are automatically added to the multi-view outputs. Setting, removing and choosing the colors of the borders are controlled by the Rendering Engine. The Agile Live Rendering engine (acl-renderingengine) will also use borders on views containing the Program and Preview feedback outputs.

Update the layout

Once a multi-view output is created it will turn up when listing multi-view outputs using the [GET] /pipelines/{uuid}/multiviews endpoint, as well as in some of the other Pipeline related endpoints. When a multi-view output is created, the layout of that multi-view stream can be updated, without interrupting the stream. This can be done using the [PUT] /pipelines/{uuid}/multiviews/{viewid} endpoint. The viewid parameter is the id of the multi-view output stream within that Pipeline component. This id is provided in the JSON-blob returned with the HTTP response when creating the multi-view, and can also be retrieved using the [GET] /pipelines/{uuid} endpoint.

In the update request, an array of views, just like the one used when creating the multi-view output, is provided as a JSON payload. It is not possible to change the resolution of the main frame/stream or change any of the values set in the output section when the stream was created, as it would interrupt the stream. In case you want to alter any of these settings, you will need to stop the multi-view output and create a new one with the desired format.

Multiple multi-view outputs

The Pipeline supports outputting multiple multi-view output stream. Each output stream can have its own, unique layout and have different labels on the views compared to other multi-view outputs. The maximum number of multi-view output streams are limited by the hardware the Pipeline is running on.

Remove a multi-view output

A multi-view output stream can be closed by calling the [DELETE] /pipelines/{uuid}/multiviews/{viewid} with the id of the multi-view output to close.

1.4.7 - Security in Agile Live

Connections in the system

There are several types of network connections in the Agile Live system that need encryption to protect them, which is especially important when running productions in a public cloud environment or at least transporting parts of a production’s data over public internet. These connections are:

• The HTTP requests to the REST API of the System Controller
• The WebSocket connections between the components in the system and the System Controller
• The SRT/RIST streams transporting the video and audio from the Ingests to the Production Pipelines.
• The TCP control connections used to transport control commands from the Control Panel to the Production Pipeline, and to propagate the commands from the Low Delay pipeline to the High Quality pipeline.

The last two connection types above will always be encrypted. Each stream/connection will be setup with its own uniquely generated encryption key. The REST API and the WebSocket connections between the components and the System Controller, however, require some manual setup by the user.

Enable HTTPS in the System Controller

Turning the HTTP requests of the REST API and the WebSocket connection between the components and the System Controller secure, requires the following steps to be taken:

1. Get a TLS certificate from a certificate authority
2. Point out the cert.pem and key.pem provided by your certificate authority in the System Controller config file under https, attributes certificate_file and private_key_file. Also make sure enabled under https is set to true.
3. Start the System controller and make sure it prints that the API is served using https
4. Try accessing the REST API using HTTPS to make sure it works as expected

WebSocket connections will automatically be encrypted when HTTPS is turned on.

In case a component trying to connect to the System Controller using HTTPS and fails with the following error message: Failed to connect to System Controller, message: set_fail_handler: 8: TLS handshake failed this is likely because the ACL_SYSTEM_CONTROLLER_IP is not set to the same hostname as the “Common Name” field is set to in the certificate. Set ACL_SYSTEM_CONTROLLER_IP to the same hostname as in the System Controller’s certificate to make it work.

Pre-shared key (PSK)

Components connecting to the System Controller must authorize themselves to be accepted and connected. When components connect to the System Controller they present a pre-shared key (PSK) to the System Controller, which must match the PSK set in the System Controller for the component to be allowed to connect. The PSK is set in the System Controller’s config file using the psk attribute before it is started. The PSK must be 32 characters long. All components must then connect using the same PSK, by setting the environment variable ACL_SYSTEM_CONTROLLER_PSK before starting the application. In case the user fails to set the PSK before starting the application, it will immediately quit and print an error message.

Authentication in the REST API

The System Controller REST API is protected with Basic Authentication that will require a username and password to access the API endpoints. To configure this, edit the client_auth part of the System Controller’s config file. Choose which username and password should grant access to the REST API and make sure enabled is set to true to actually activate the authentication check. The configured password is tested for strength on start. The System Controller will not start if the password is judged to be too easy to crack with brute-force.

1.4.8 - Statistics in Agile Live

Statistics

Timestamps and measurements

Let’s start by taking a closer look on how the system measures these statistics:

/ingests/{uuid}/streams/{stream_uuid} {
    processing_time_audio,
    processing_time_video,
    audio_encode_duration,
    video_encode_duration
    }

/pipelines/{uuid}/streams/{stream_uuid} {
    time_to_arrival_audio,
    time_to_arrival_video,
    time_to_ready_audio,
    time_to_ready_video,
    audio_decode_duration,
    video_decode_duration
    }

All media that is ingested will be assigned a timestamp as soon as the audio and video is captured, this is the capture timestamp. With this timestamp as a reference the system calculates three more timestamps which all measure the time passed since the capture timestamp was taken.

processing_time_audio & processing_time_video

After the capture step, the audio and video is converted into the format that the user selected, this may involve resizing, deinterlacing and any color format conversion that is needed. Next step will be to encode the audio and video. Once the encoding is done, a new timestamp is taken which then measures the difference between the capture time and the current time after the encoding is done. Note that these values may be negative (and in rare cases the following timestamps), in cases where the system has shifted the capture timestamp into the future to handle drifting.

time_to_arrival_audio & time_to_arrival_video

When the Rendering Engine receives the EFP stream, and has received a full audio or video frame, a new timestamp is taken, which measures the difference between the capture time and the current time after a full frame was received. This duration also includes the network transport time, i.e. the maximum time that the network protocol will use for re-transmissions. This value can be configured with the max_network_latency_ms value when setting up the stream.

time_to_ready_audio & time_to_ready_video

Next step will be to decode the compressed audio and video into raw data. When the media is decoded a new timestamp is taken, which measures the difference between the capture time and the current time after the decoding of a frame is done. This will be when a frame is ready to be delivered to the Rendering Engine. The alignment of the stream between Ingest and Pipeline must be larger than time_to_ready_audio/video statistics, otherwise the frames will be too late and dropped. This is a good value to check if you experience dropped frames, and potentially increase the alignment value if so. You can also experiment with lowering the bitrate or decreasing the max_network_latency_ms setting. If a frame is ready earlier than the aligment time, it will be queued until the system reaches the alignment time. For the video frames there is also a queue of compressed frames before the actual decoding, this queue makes sure that only a maximum of 10 decoded frames are kept in memory after the decoder. Due to this the difference between these timestamps and the alignment value normally is never larger than the duration of 10 video frames.

The sytem also tracks for how long a frame is processed by the encoders and decoders with the following values:

audio_encode_duration & video_encode_duration

These metrics show how long time audio and video frames take to pass through their respective encoder. This duration includes any delay in the encoder as well, measuring the time from when each frame is passed to the encoder until the encoder returns the compressed frame. For video this also includes the time to do any format conversions, resizing and de-interlacing. Note that B-frames will cause the metric to increase to more than one frame-time, as more frames are needed in some cases before the previous ones can be outputted to the stream.

audio_decode_duration & video_decode_duration

These metrics show how long time audio and video frames take to pass through their respective decoder. This duration includes any delay in the decoder as well, measuring the time from when each frame is passed to the decoder until the decoder returns the raw frame. Also here, B-frames will cause this time to be longer than one frame time, because the decoder has to wait for more frames before the decoding can start.

1.4.9 - Using Media Player metadata in HTML pages

Subscribing to metadata

HTML pages loaded into the Rendering Engine can subscribe to metadata from Media Players located on other input slots of the Rendering Engine. The metadata can for instance be used to create graphics to aid the production crew.

In order for Media Player metadata to propagate to an HTML page, the page must first subscribe to metadata updates. This is done in the JavaScript code of the HTML page by calling the function window.aclInputSlotMetadataSubscribe() when the page has been loaded. After doing this the global variable aclInputSlotMetadata will become available and updated periodically. In the simplest case:

<body onLoad="window.aclInputSlotMetadataSubscribe()">

Metadata structure

aclInputSlotMetadata is a JSON object with the Media Player information located in the “media_players” section and further organized by which input slot the Media Player is located at. An example with a media file being played at input slot number 2:

var aclInputSlotMetadata = {
   "media_players": {
     "2": {
         "file_name": "/mnt/media/ads/Clip32.mov",
         "is_paused": false,
         "is_looping": true,
         "current_time_ms": 400000,
         "start_time_ms": 300000,
         "input_duration_ms": 1800000,
         "duration_ms": 120000,
         "time_left_ms": 20000
     }
   }
}

HTML example

The file “media-playback.html” located in the Agile Live examples ZIP file provides a full example of how to subscribe to, and use, the metadata from a Media Player. It can be loaded into the Rendering Engine to create a view that displays the metadata of the currently playing file. The HTML page accepts the Media Player’s input slot number as a query parameter. For example, if a Media Player is located at input slot number 4 and media-playback.html is served at localhost:8899 (on the same machine as the Rendering Engine is running) the following commands can be used to load the page into a new input slot:

html create 5 1920 1080
html load http://localhost:8899/media-playback.html?slot=4

1.5 - Releases

1.5.1 - Release 6.0.0

Build date

2024-01-29

Release status

Type: Sixth production ready release

Release content

Product version

6.0.0

Release artifacts

Changelog

• From this release Agile Live will be released as .deb packages instead of an archive of binaries and shared libs.
• To simplify compatibility verifications, all components inside Agile Live now have the same version number as the version of the release they belong to, in this release 6.0.0. This means some components have received an older version number compared to earlier and some components have skipped several major versions.
• The component -> System Controller communication has been changed from a request-response type of communication to a one-way communication, where the System Controller won’t send a response back and the component won’t expect a response back.
• More informative error messages from the System Controller in case requests fail

Ingest

• Support for ingesting SRT sources. Both caller and listener mode is supported, with or without passphrase. Currently AVC and HEVC video codecs are supported and AAC audio. New SRT sources can be set up using the REST API.
• Counters for dropped_frames, lost_frames and duplicated_frames are now split into separate counters for audio and video called dropped_audio_frames, dropped_video_frames, lost_audio_frames and so on
• The NDI interface now supports interlaced NDI sources with individual fields
• The Ingest application now logs the enabled input interfaces more clearly and also outputs the API version of all interfaces supported on the machine.

Rendering Engine

• The Rendering Engine now supports playback of media files directly in the mixer itself. The player supports seeking as well as looping of the entire clip, or a section of the clip.
• The Rendering Engine can send information on the states of all media players to HTML pages. This way graphics can be shown for countdown until a clip ends, or to overlay such information to aid hosts in the studio.
• The generic control panel acl-tcpcontrolpanel now accepts multiple connections on a single port. As a result of this, the environment variable has changed name to ACL_TCP_ENDPOINT without an S and only accepts a single endpoint.
• Fix a crash when some invalid control commands was sent to the Rendering Engine.

Production Pipeline

• The visibility of the audio bars in the multi-views is now configurable per multi-view output.

Control Data Sender and Control Data Receiver

No changes

System Controller

• Fields are not correctly marked as “required” or “optional” in the OpenAPI specification served from the System Controller
• Fixed a bug where the metrics for retransmitted_packets and sent_bytes on the GET requests to multi-view did not increment
• The PSK is now checked for complexity. A too simple PSK (for instance just the same letter repeated 32 times) will not be accepted anymore
• Fix for CVE-2023-44487: DOS with HTTP/2
• The list of locations where the System Controller searches for the acl_sc_settings.json file has changed to just two locations: /etc/opt/agile_live followed by the current working directory.
• The log file of the System Controller is now created with file permissions that let any user read it
• The public IP of Pipelines are now included in the REST API

Known limitations

Media Player

Videos will be stretched in case the video played does not have the same aspect ratio as the Rendering Engine is using.

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

MPEG-TS over UDP

For Outputs and multi-view outputs it is currently not possible to bind to a specific IP and port with MPEG-TS over UDP, even if local_ip and local_port are exposed in the REST API.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

Security

No known issues

1.5.2 - Release 5.0.0

Build date

2023-10-09

Release status

Type: Fifth production ready release

Release content

Product version

5.0.0

Release artifacts

Library details

libacl-ingest.so

Version: 11.0.0

Library containing the core Ingest functionality used by the acl-ingest executable.

libacl-productionpipeline.so

Version: 12.0.0

Library containing the MediaReceiver, MediaStreamer and ControlDataReceiver classes, used to implement a Rendering Engine. Also used by the acl-renderingengine application

libacl-controldatasender.so

Version: 11.0.0

Library containing the ControlDataSender class, used to send control messages to a ControlDataReceiver component.

Changelog

• It is now possible to use hostnames instead of just IP addresses for ACL_SYSTEM_CONTROLLER_IP environment variable.
• HTTPS and client authentication are now enabled by default in the system
• The new environment variable ACL_CUSTOM_CA_CERT_FILE makes it possible to set a custom CA certificate to use for verifying the system controller’s certificate. This can be used in cases when the CA certificate cannot be added to the list of OS trusted CA certificates.
• SRT logs are now printed to the components’ log files and not just to the terminal

Ingest 11.0.0

• SRT connections to Production Pipelines will now automatically try to reconnect in case the network link goes down.

Rendering Engine 3.0.0

• The Rendering Engine now features a built in HTML renderer using the Chromium web engine through Chromium Embedded Framework. The HTML renderer is capable of opening multiple “browsers”, connected to input slots of the operator’s choice, rendering HTML graphics hosted by HTTP servers or even loading regular webpages.
• A new chroma key node was added to make green screen effects possible.
• The internal audio mixer now features a high pass and a low pass filter

Production Pipeline 12.0.0

• The cadence and speed/quality balance can now be set for the MediaStreamer and Multi view outputs
• MediaStreamer now supports multiple output streams (e.g. both SRT and UDP, or multiple SRTs and UDP outputs with different settings), as long as they use the same encoding settings.
• Performance of the Production Pipeline has been improved. The load on the NvDec chip is reduced by up to ~50% and the load on the CUDA cores reduced by up to ~60% in certain conditions.
• The Multi View outputs now show peak meter audio bars for all views, which makes solving audio problems much easier, as one can see both the audio of the incoming and outgoing video streams.
• The Random Access Indicator (RAI) is now correctly set in the MPEG-TS output streams
• Outputs with SRT in caller mode will now start even if the connection was not successfully made. The SRT connection will try to connect until it succeeds, or is manually closed down. In case the network link is broken, the SRT caller will try to keep connecting until it succeeds or is manually closed down.

Control Data Sender 11.0.0 and Control Data Receiver 12.0.0

• The release now features a new acl-websocketcontrolpanel, which works like the already existing acl-tcpcontrolpanel, but allows for multiple clients to connect via WebSocket to the control panel instead.
• It is now possible to use hostnames instead of just IP addresses when connecting a Control Data Sender or Receiver to another Control Data Receiver.
• Fix bug where it was not possible to disconnect a Control Data Sender/Control Panel from a Receiver and connect it to another Receiver on another port.

System Controller 5.0.0

• The REST API now correctly flags parameters with a default value in the Swagger documentation. These values does not need to be passed in the JSON blob with the REST API call. Parameters without a default value are correctly flagged as required in the documentation.
• The Outputs part of the REST API has been updated to support multiple output streams from the same output component. The name of the REST API endpoints has been moved from pipelines/{uuid}/outputs/{output_uuid}/stream to pipelines/{uuid}/outputs/{output_uuid}/streams to reflect this. The POST request will return an id integer to identify the stream within the Output component. A new endpoint [DELETE] pipelines/{uuid}/outputs/{output_uuid}/streams/{stream_id} has been added to close a specific stream. All streams of an output can be closed with the old [DELETE] pipelines/{uuid}/outputs/{output_uuid}/streams endpoint.
• System controller now logs to file. Default log location is /tmp with the log file prefixed with acl-system-controller.
• Requests to the REST API are now rate limited to prevent overloading the components and to mitigate DOS attacks.
• The IPBB cadence and speed/quality balance can now be specified for the encoder in both Output streams and Multiview output streams.
• Prometheus endpoint now stops reporting metrics for closed streams.
• Improve execution time of [DELETE] streams/{stream_uuid}
• Authentication has been added to the Prometheus endpoint.
• The parameters ip and port in the [GET] pipelines/{uuid}/outputs/{output_uuid}/streams has been corrected to remote_ip and remote_port. Their values are now reported correctly.
• Security of the System Controller has been improved in several ways.
• Prometheus endpoint has been updated with some missing statistics
• The missing audio_mapping parameter has been added to the [GET] ingests/{uuid}/streams/{stream_uuid} and [GET] pipelines/{uuid}/streams/{stream_uuid} endpoints.
• The sent_bytes parameter of the output statistics is now incremented as expected for both Multi View outputs and Output streams.
• Fixed a bug where the System Controller application would crash when started with a filename as -settings-path parameter.

Known limitations

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

MPEG-TS over UDP

For Outputs and multi-view outputs it is currently not possible to bind to a specific IP and port with MPEG-TS over UDP, even if local_ip and local_port are exposed in the REST API.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

Security

No known issues

1.5.3 - Release 4.0.0

Build date

2023-06-16

Release status

Type: Fourth production ready release

Release content

Product version

4.0.0

Release artifacts

Library details

libacl-ingest.so

Version: 10.0.0

Library containing the core Ingest functionality used by the acl-ingest executable.

libacl-productionpipeline.so

Version: 11.0.0

Library containing the MediaReceiver, MediaStreamer and ControlDataReceiver classes, used to implement a Rendering Engine. Also used by the acl-renderingengine application

libacl-controldatasender.so

Version: 9.0.0

Library containing the ControlDataSender class, used to send control messages to a ControlDataReceiver component.

Changelog

• The system now requires Chrony as the NTP client for time synchronization. See NTP instructions for more details. The applications will not start if Chrony reports an drift greater than 5 ms.
• New environment variables ACL_LOG_MAX_FILE_SIZE and ACL_LOG_MAX_LOG_ROTATIONS to control the number and size of the rotated log files for the applications
• Fix parsing of boolean environment variables

Ingest 10.0.0

• Support for transporting up to 16 channels of audio to the production, where a subset of the channels can be selected.
• Added support for using Opus as audio codec in transport to the Production Pipeline. This codec has a lower delay compared to the existing AAC codec. The user can now select codec per connected stream.
• Improved handling of NDI sources.
• Handle cases when SDI sources deliver one extra or one too few audio sample.
• The built-in MediaSourceGenerator now has a lower audio level of -20 LUFS.

Rendering Engine 2.0.0

• New audio mixer implementation with per-input-strip three-band parametric equalizer, compressor and panning.
• New automatic transition types: left and right wipe
• Add support for picture-in-picture effects. Currently the rendering engine support two separate picture-in-picture effects with an additional graphic effect on top.
• All control commands executed by a rendering engine is now written to a log file in /tmp
• Fix bug where disconnecting a source would leave the last frame frozen in the input slot with corrupted audio.

Production Pipeline 11.0.0

• It is now possible to include input slots where no stream has been connected yet to a multi-view output. The view will be empty until a source has been connected to that input slot, with the label visible.
• Views in the multi-view will remain after the corresponding input slot has been disconnected, showing a black frame with the label. The video will automatically turn up again when another stream is connected to the same input slot.
• Fix bug where the multi-view output would stop sending video when none of the sources in the multi-view were connected.
• Add support for SRT in caller mode for multi-view outputs and MediaStreamer outputs.
• Add support for setting the SRT latency and an optional passphrase for the multi-view outputs and MediaStreamer outputs.
• MediaReceiver API has a new method removeCustomMultiViewSourceInput to remove a custom feedback input earlier registered using getCustomMultiViewSourceInput.
• Improved latency of video decoder with ~1 frame.

Control Data Sender 9.0.0 and Control Data Receiver 10.0.0

• Fix application crash with acl-tcpcontrolpanel on connection failure.
• Updated control command protocol for video commands, where the first word addresses the node in the graph to make the change to. This allows for the same node to be used multiple times. See Rendering Engine commands for more details on the new protocol.
• Updated API where multiple, separate control commands can be sent in the same message, guaranteed to be delivered to the Rendering Engine at the same time point. The new method sendMultiRequestToReceivers is used to send such messages. The old API for sending just a single control command per message is unchanged.
• Raise the maximum control message length to 65535 bytes.

System Controller 4.0.0

• Expose a number of new metrics from the components for system monitoring in the REST API and Prometheus endpoint, including average/min/max encode and decode durations per stream, frame counters for video and audio in multiple locations, statistics for outgoing output streams and round trip time and measured bandwidth on the contribution links.
• The POST /streams endpoint now require an audio_mapping to know which audio channels to transport to the production. Use "[[0,1]]" for the same behavior as in previous versions (i.e. transport only channels 0 and 1, encoded as stereo).
• New counter lost_frames for Pipeline streams. It counts fully lost frames, not only broken frames, as the received_broken_frames counter.
• The counter lost_packets in the GET /ingests/{uuid}/streams endpoints has been removed in favor for the lost_packets and dropped_packets in the Pipeline.
• Counter queuing_video_frames has changed name to video_frames_in_queue.
• REST API now correctly returns the selected port when automatic port selection is requested (by setting the local_port to 0), instead of returning the port number as 0.
• REST API now show if sources are active or inactive, instead of hiding inactive sources (a source is active if it is ready to be used, as opposed to an inactive source, which has been seen earlier, but not any longer)
• Fix bug where the wrong port numbers of Control Connections would be shown in REST-API for port numbers automatically assigned by the OS.

Known limitations

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

MPEG-TS over UDP

For Outputs and multi-view outputs it is currently not possible to bind to a specific IP and port with MPEG-TS over UDP, even if local_ip and local_port are exposed in the REST API.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

Security issues

There is no rate limiting implemented in any of the components. Should the application be running in a network where ports are accessible to unauthorized users, there is a risk of a denial of service (DOS). The network should be configured with firewall rules closing out unauthorized users.

Encryption (HTTPS) is not enabled by default in acl-system-controller. This means that pre-shared keys (PSK) used for encrypted communication between components and the System Controller will be exchanged in the clear and could be revealed.

Client authentication is not enabled by default in acl-system-controller so anyone with access to HTTP on the machine hosting acl-system-controller will have access to the REST API.

Even when client authentication is enabled, there is no enforcement of the length or format of the password. Also note that HTTPS should be enabled when using client authentication since the credentials would otherwise be sent in clear text.

It is strongly recommended to enable both HTTPS and client authentication.

1.5.4 - Release 3.0.0

Build date

2023-01-23

Release status

Type: Third production ready release

Release content

Product version

3.0.0

Release artifacts

Library details

libacl-ingest.so

Version: 9.0.0

Library containing the core Ingest functionality used by the acl-ingest executable.

libacl-productionpipeline.so

Version: 10.0.0

Library containing the MediaReceiver, MediaStreamer and ControlDataReceiver classes, used to implement a Rendering Engine. Also used by the acl-renderingengine application

libacl-controldatasender.so

Version: 9.0.0

Library containing the ControlDataSender class, used to send control messages to a ControlDataReceiver component.

Changelog

Ingest 9.0.0

• Ingesting interlaced sources is now supported both with the Intel and Nvidia encoders. De-interlacing is automatically applied to interlaced input, so no extra work is needed by the user of the REST API when setting up the stream compared to a progressive source. The implementation supports de-interlacing 50i sources into 50p.
• The Ingest now supports encoding JPEG thumbnails using Nvidia GPUs. For now, only the first Nvidia GPU will be used on multi-GPU systems.
• Earlier when encoding HEVC with the Intel encoder, the setup would fail in case any of the fast, faster, good or better speed/quality settings were used, as these were not supported by the encoder. Now these settings are automatically changed to the closest supported setting, i.e. fast and good is changed to balanced, faster to fastest and better to best.
• The Intel JPEG encoder now supports encoding JPEGs with a width that is not evenly divisible by 16. Also requests for thumbnails with odd number of pixels in width/height will automatically be encoded with one extra pixel in width/height compared to the request, instead of failing the request.
• The Intel JPEG encoder now supports encoding thumbnails of interlaced sources.

Rendering Engine 1.0.0

No new features since last release.

Production Pipeline 10.0.0

• The network endpoints of the incoming streams from the Ingests are now closed after the Ingest has connected.

Control Data Sender 9.0.0 and Control Data Receiver 10.0.0

• Support for connecting multiple ControlDataSenders (or Receivers) to a single ControlDataReceiver is now working again.
• Improved verification of the established connection between ControlData components.
• Message delay can now be set per incoming connection to a ControlDataReceiver.

System Controller 3.0.0

• New version of the REST API, v2, which is served from /api/v2. The API has been reorganized and cleaned up to make it easier to use.
• Streams and Control Connections now get their own unique UUIDs when created using the REST API. This UUID is then used to reference the connection when making changes to and closing the connection. The UUID is returned when the connection is created and is also shown when querying information from the components on both sides of the connection. The old connection_id concept has been completely removed.
• The endpoints related to Control Connections are now on the top level and the same endpoints are used whether the connection is originating from a ControlDataSender or a ControlDataReceiver. Both Control Connections and Streams are now closed using their UUID and the corresponding DELETE endpoints. Also the PATCH endpoints use the UUID of the connection to identify the connection to make changes to.
• The Output and Control Receiver endpoint has been moved in under the Pipeline endpoint to better show their tight connection. When querying the Pipeline endpoint it will return its Outputs and Control Receivers.
• The parameter id used for an Ingest’s sources has been changed to source_id.
• The parameters resolution_x and resolution_y have been changed to width and height.
• The endpoint for /components has been removed in favor for the /ingests, /pipelines and /controlpanels endpoints.
• The thumbnail endpoint now has a new parameter encoder where the user can explicitly request that a certain encoder should be used for encoding the thumbnail. Current options are intel_gpu, nvidia_gpu or auto, where the last option will make the Ingest select the best encoder that is supported on the hardware the Ingest is running on.

Known limitations

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

Audio channels

Only stereo audio is supported with two channels embedded per connected input.

Security issues

There is no rate limiting implemented in any of the components. Should the application be running in a network where ports are accessible to unauthorized users, there is a risk of a denial of service (DOS). The network should be configured with firewall rules closing out unauthorized users.

Encryption (HTTPS) is not enabled by default in acl-system-controller. This means that pre-shared keys (PSK) used for encrypted communication between components and the System Controller will be exchanged in the clear and could be revealed.

Client authentication is not enabled by default in acl-system-controller so anyone with access to HTTP on the machine hosting acl-system-controller will have access to the REST API.

Even when client authentication is enabled, there is no enforcement of the length or format of the password. Also note that HTTPS should be enabled when using client authentication since the credentials would otherwise be sent in clear text.

It is strongly recommended to enable both HTTPS and client authentication.

1.5.5 - Release 2.0.0

Build date

2022-11-17

Release status

Type: Second production ready release

Release content

Product version

2.0.0

Release artifacts

Library details

libacl-ingest.so

Version: 8.0.0

Library containing the core Ingest functionality used by the acl-ingest executable.

libacl-productionpipeline.so

Version: 9.0.0

Library containing the MediaReceiver, MediaStreamer and ControlDataReceiver classes, used to implement a Rendering Engine. Also used by the acl-renderingengine application

libacl-controldatasender.so

Version: 8.0.0

Library containing the ControlDataSender class, used to send control messages to a ControlDataReceiver component.

Changelog

The supported OS has changed from Ubuntu 20.04 LTS to Ubuntu 22.04 LTS. Official support for Ubuntu 20.04 LTS is dropped from this release.

Ingest 8.0.0

• Changed to epoch aligned timestamps
• Improve duplicating and dropping of frames to cover up drifting cameras
• Expose counters for dropped, duplicated and lost frames per source in the REST API
• Fix a memory leak when generating thumbnails
• Interlaced sources are now shown in the REST API and correctly marked as interlaced
• Improved support for detecting connection and disconnection of SDI cables at runtime, as well as changes in the format of the sent SDI stream.
• Applications are now stopped by pressing Ctrl-C instead of pressing enter to prevent accidental stopping
• Thumbnails and source info are now cached for each source to improve response time in the REST API. This means that sources that are not connected to any production will only update its thumbnails and source info every ~5 seconds or so. Sources that are connected will update the info continuously.
• The field active for sources in the REST API was not working before and has now been removed in favor for a new field in_use which indicates if a source is currently being streamed somewhere or not.
• Log files will now get a unique name by appending the date of creation to the filename
• Log files will now have the same log level as the terminal output
• Appending the --help flag to the ingest executable will print information about the binary and list the environment variables
• A stack trace is now printed in case the application should crash

Rendering Engine 1.0.0

• First version of the Rendering Engine application
• Support for program, preview and cutting between them
• Support for fading between sources over a given time
• Support for graphics with key (alpha) by ingesting the fill and key (color and alpha) as two separate sources
• Support for fade to black
• Support for setting the audio volume per source

Production Pipeline 9.0.0

• Support for tally borders in the Multi-view generator with new API for setting and clearing the borders from the Rendering Engine in the MediaReceiver class.
• Updated API for passing video memory to and from the Rendering Engine, now uses RAII classes for automatic memory handling. See upgrade guide for more details.
• The MediaReceivernow passes the mRenderingTimestamp to the Rendering Engine, i.e. the timestamp when the frame was delivered.
• Alignment is internally rounded to the nearest even frame time. This together with the changes in the Ingest results in that the frames delivered to the RenderingEngine will have rendering timestamps that are evenly devisable by the frame time.
• PTS in MediaStreamers are now calculated based on the mRenderingTimestamp, instead of a newly taken timestamp when the frame was sent to the MediaStreamer. This will make the PTSes of the output streams equidistant, even if the Rendering Engine jitters slightly.
• New class PipelineSystemControllerInterfaceFactory to help Rendering Engine implementors in creation of SystemControllerConnections by reducing code duplication

Control Data Sender 8.0.0 and Control Data Receiver 9.0.0

• The control channel between ControlDataSenders and ControlDataReceivers are now encrypted by default. Read more about it in the security tutorial
• The support for connecting multiple ControlDataSenders or ControlDataReceivers to another ControlDataReceiver is temporarily disabled.

System Controller 2.0.0

• Added support for HTTPS communication with the REST API and encrypted connections between the components and the System Controller. Read about how to activate it in the security tutorial
• Components now automatically reconnects to the System Controller in case they loose connection to it. This means that the System Controller can be restarted during a broadcast and all components will automatically reconnect to it once it turns up again on the network. It also means that components can be started before the System Controller and get connected as soon as the System Controller is started
• REST API now features basic authentication. Read more about it in the security tutorial
• Streams (of audio and video) between Ingests and Production Pipelines are now automatically encrypted when set up by the System controller
• Control connections between Control Panels and Production Pipelines are now automatically encrypted when set up by the System controller
• Fix a bug where the System Controller would not search for the config file in all the directories listed in the documentation. Also make the application search in the application’s directory and not only the current working directory.
• New endpoint [PATCH] /pipelines/{uuid}/streamconnections/{connection_id} to change the alignment of an already created stream during runtime. Note that changing the alignment will cause the audio and video of that stream to make a sudden jump and/or freeze for a moment, so it is not recommended to do this on stream connections that are on air
• The endpoint [POST] /stream now has improved error messages in case the System Controller failed to start the stream. The endpoint also closes the Pipeline’s stream connection instead of leaving it open in case the Ingest failed to start the stream
• The [DELETE] endpoints for the specific components has been removed in favor for the general [DELETE] /components/{uuid} endpoint
• Fix a bug where the System Controller would crash in some rare cases when a component is shut down at the same time as a REST request is using that component.
• Fix some false positive log outputs

Known limitations

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

Number of Control Senders per Control Receiver

For now the system is limited to only connect one Control Sender (or Receiver) to another Control Receiver. This means that, for now, it is only possible to connect a single Control Panel to a production.

Audio channels

Only stereo audio is supported with two channels embedded per connected input.

Security issues

There is no rate limiting implemented in any of the components. Should the application be running in a network where ports are accessible to unauthorized users, there is a risk of a denial of service (DOS). The network should be configured with firewall rules closing out unauthorized users.

Encryption (HTTPS) is not enabled by default in acl-system-controller. This means that pre-shared keys (PSK) used for encrypted communication between components and the System Controller will be exchanged in the clear and could be revealed.

Client authentication is not enabled by default in acl-system-controller so anyone with access to HTTP on the machine hosting acl-system-controller will have access to the REST API.

Even when client authentication is enabled, there is no enforcement of the length or format of the password. Also note that HTTPS should be enabled when using client authentication since the credentials would otherwise be sent in clear text.

It is strongly recommended to enable both HTTPS and client authentication.

1.5.6 - Release 1.0.0

Build date

2022-06-23

Release status

Type: First production ready release

Release content

Product version

1.0.0

Release artifacts

Library details

libacl-ingest.so

Version: 7.0.0

Library containing the IngestApplication class used to implement an Ingest component.

libacl-productionpipeline.so

Version: 8.0.0

Library containing the MediaReceiver, MediaStreamer and ControlDataReceiver classes, used to implement a Rendering Engine.

libacl-controldatasender.so

Version: 7.0.0

Library containing the ControlDataSender class, used to send control messages to a ControlDataReceiver component.

Changelog

Ingest 7.0.0

• New metrics are available for the Ingest streamconnections in the REST API that can be used to monitor the streams.
• Fixed bug where the Ingest would crash with a std::runtime_error if grabbing a thumbnail on hardware without an Intel CPU with integrated GPU.
• Improved error messages for encoders and sources.
• Missing fields in the REST API for the Ingests have been added, such as max_network_latency_ms for streamconnections.
• Logs are now automatically flushed every 5 seconds.
• The class StaticIngestSystemController has been removed, please use the SystemControllerConnection class and the system controller instead.

Production Pipeline 8.0.0

• New metrics are available for the Pipeline streamconnections and Output in the REST API that can be used to monitor the streams.
• Fixed the AUD format in MEPG-TS output of the Pipelines when using HEVC, which earlier caused clicks in the audio channel and a lot of Invalid NAL unit 4, skipping. errors when playing back the streams using ffmpeg.
• Support for labels (so-called “Under Monitor Display”, UMD) in the multi-view outputs. The labels are set through the REST API when setting up multi-view outputs and can be changed at runtime.
• Missing fields in the REST API for the Pipelines have been added, such as max_network_latency_ms, alignment_ms and convert_color_range for streamconnections.
• Fixed DTS calculation for output streams in both the Multi-view generator and Output components.
• The network connections between a ControlDataReceiver and other ControlDataReceivers are now using TCP as protocol instead of SRT, which means that the messages are delivered as soon as they arrive and that no control messages will be dropped due to to timeouts in the transport.
• Fixed a minor CUDA memory leak in the multi-view generator that caused a slow, constantly growing GPU memory usage.
• Fixed CUDA memory corruption sometimes occurring when stopping and quickly restarting a multi-view output.
• Nvidia Ampere GPUs are now working with older CUDA drivers than version 510.
• Logs are now automatically flushed every 5 seconds.
• The classes StaticMediaReceiverSystemController and StaticMediaStreamerSystemController have been removed, please use the SystemControllerConnection class and the system controller instead.

Control Data Sender 7.0.0 and Control Data Receiver 8.0.0

• The network connections between a ControlDataSender and ControlDataReceivers are now using TCP as protocol instead of SRT, which means that the messages are delivered as soon as they arrive and that no control messages will be dropped due to timeouts in the transport.
• The classes StaticControlDataSenderSystemController and StaticControlDataReceiverSystemController have been removed, please use the SystemControllerConnection class and the System Controller instead.

System Controller 1.0.0

• Support for setting CORS and custom HTTP response headers in the configuration file.
• Improved validation of HTTP request payloads and improved error messages.
• New endpoint for deleting any type of component, [DELETE] /component.
• New, built-in Prometheus exporter, accessible through endpoint at [GET] /metrics.
• The version of the running system controller is now returned in each HTTP response in the X-Binary-Version header.

Known limitations

GPU performance

The GPU utilization in the Ingest status message is currently not working. Use intel_gpu_top and/or nvidia-smi instead.

Drivers

You need to install the CUDA Toolkit on Ingest machines, even if they don’t have Nvidia cards.

MPEG-TS output

The timestamps in the MPEG-TS output are not equidistant, which might confuse some playback tools. Playback the stream using a tool that works for now, such as ffmpeg.

Pre-shared key

The pre-shared key used to authorize components in the System controller is currently hard-coded into the Ingest application. This means that the psk in the System controller’s example config file must be used, otherwise is it not possible to connect an Ingest to the system.

1.5.7 - Upgrade instructions

Upgrade to 6.0.0 from 5.0.0

System Controller

• In endpoints /ingests/{uuid}?expand=true, /ingests/{uuid}/sources and /ingest/{uuid}/sources/{source_id} these three metrics has been split into audio and video variants: acl_ingest_source_dropped_frames has been split into acl_ingest_source_dropped_audio_frames and acl_ingest_source_dropped_video_frames, metric acl_ingest_source_duplicated_frames is split into acl_ingest_source_duplicated_audio_frames and acl_ingest_source_duplicated_video_frames; and acl_ingest_source_lost_frames is split into acl_ingest_source_lost_audio_frames and acl_ingest_source_lost_video_frames.
• In case the entropy of the PSK set in the System Controller was too low, the System Controller won’t start. Generate a new PSK and use that one.
• The System Controller does not longer search for the configuration file acl_sc_settings.json in the directories /etc/acl_system_controller, /app,/service,/acl_system_controller or /opt/acl_system_controller. Either put the file in the current working directory of the system controller application, in the directory /etc/opt/agile_live, or explicitly point at the directory of the config file using the flag --settings-path <PATH> when starting the System Controller.

Rendering Engine

• For the acl-tcpcontrolpanel the environment variable ACL_TCP_ENDPOINTS has changed name to ACL_TCP_ENDPOINT and only accept a single endpoint. This endpoint will now accept multiple connections.

C++ SDK

• AlignedFrame::PixelFormat has been replaced with ACL::PixelFormat, found in PixelFormat.h.
• ISystemControllerInterface::sendRequest has been replaced with ISystemControllerInterface::sendMessage, the System Controller will no longer send a response on messages. Since connection is over TCP, if the message could be sent, it has arrived properly to the System Controller, so there is no need for a response message that verifies that.

Upgrade to 5.0.0 from 4.0.0

System Controller

• Endpoints /pipelines/{uuid}/outputs/{output_uuid}/stream have been moved to /pipelines/{uuid}/outputs/{output_uuid}/streams to indicate multiple streams for the same Output can be created. The POST request takes the same parameters as before, but returns an ID of the newly created stream, which is globally unique together with the UUID of the Output. As of now, it is only possible to start multiple streams if the encoder settings match for all streams. Use the new endpoint [DELETE] /pipelines/{uuid}/outputs/{output_uuid}/streams/{stream_id} to stop a stream with a given ID.
• The response of [GET] /pipelines/{uuid}/outputs/{output_uuid}/streams differs from the old variant. In the new one not just a single active stream is presented, but a list of active_streams.
• The [POST] /pipelines/{uuid}/outputs/{output_uuid}/stream and [POST] /pipelines/{uuid}/multiviews endpoints now support setting the pic_mode and speed_quality_balance to control the quality of the encoding. While they don’t have to be explicitly specified in the REST API request as they have default values (pic_mode_ip and balanced), it might be desirable to manually specify them.

ProductionPipeline

• MediaReceiver::start has changed signature. It now takes a CUcontext as the second parameter, which should be a CUDA context reference to the device to run the CUDA operations on.
• The MediaReceiver::Settings struct has a new parameter mAlignedFrameFreeStream which should be a CUDA stream within the CUDA context passed to the MediaReceiver::start method, to use as the stream to make the asynchronous free on, after all the DeviceMemory pointers have been released.
• MediaStreamer::configure now has a second parameter to a CUcontext, which is the CUDA context defining which device to run the MediaStreamer on.
• PipelineSystemControllerInterfaceFactory constructor now takes an extra customCaCertFile parameter, pointing out an optional CA certificate file to use for validating certificates from the System Controller.

Upgrade to 4.0.0 from 3.0.0

System Controller

• The endpoint POST /streams now require two additional parameters audio_format and audio_mapping. The first one selects if AAC-LC or the new Opus codec should be used for audio encoding. AAC-LC has slightly higher quality, but is slower to encode. Opus has a lower latency and gives better quality at lower bitrates. The second parameter, audio_mapping tells the Ingest which audio channels to pick from the source and if they should be encoded as mono or stereo streams. (Stereo streams save bandwidth, but does not need to be used as stereo in the Rendering Engine). For example the mapping [4, [1, 2], 0] will result in 4 channels out in the Rendering Engine, where the channel with index 4 is output at index 0 and encoded as a mono channel, index 1 and 2 in the Ingest are encoded as stereo and output at channels 1 and 2 in the output and channel 0 in the input is encoded as mono and output to channel 3 in the output. Channel 4 in the input (and 5 and above) are ignored. To get the same behavior as in the previous release, pass AAC-LC and [[0,1]] respectively for audio_format and audio_mapping.
• Metric queueing_video_frames has changed name to video_frames_in_queue.
• In POST /pipelines/{uuid}/outputs/{output_uuid}/stream and POST /pipelines/{uuid}/multiviews the parameters ip and port are removed and replaced by four parameters called local_ip, local_port, remote_ip and remote_port. In MPEG-TS over SRT mode, their useage depends on the SRT mode. When in listener mode (srt_mode == listener) only the local_ip and local_port are used to set the address to listen to. Set local_port to 0, to make the OS automatically pick an available port. In SRT caller mode both local_ip, local_port and remote_ip, remote_port are used. The remote_* ones define the remote address to connect to and the local* ones the local address to bind to. To get the old behavior, where the local bind address is automatically chosen, set local_ip to 0.0.0.0 and local_port to 0 to automatically pick an unused port. For MPEG-TS over UDP mode, set the address to send the stream to using the remote_* parameters (The local_* variants should be present but must be set to 0.0.0.0 and 0, currently).
• The output of the GET /pipelines/{uuid}/outputs/{output_uuid}/stream and GET /pipelines/{uuid}/multiviews endpoints have changed the layout. See the REST API documentation for more details.
• The video_kilobit_rate parameter in GET /pipelines/{uuid}/streams/{stream_uuid} has been removed. Use the same parameter in the GET /ingests/{uuid}/streams/{stream_uuid} endpoint instead.
• The counter lost_packets in the GET /ingests/{uuid}/streams/{stream_uuid} endpoint has been removed in favor for the lost_packets and dropped_packets in the Pipeline.

ProductionPipeline

• The API of ControlDataReceiver::IncomingRequest has changed to get an std::vector of messages (std::vector<uint8_t>), to allow multiple messages to be delivered at the same time point. Just loop through the messages and handle them as before.
• The settings for mDebugVideo and mDebugAudio has been removed from MediaReceiver::Settings.

Upgrade to 3.0.0 from 2.0.0

System Controller

• The System Controller uses the new API prefix /api/v2, so all calls must update to this API version. The old API /api/v1 has been removed.
• All calls to the Control Receiver and Output endpoints must be updated, as these have been moved in under the /pipelines endpoint. See the REST API reference for details.
• When setting up Control Connections, the old [POST] /controlpanels/{uuid}/controlconnections and [POST] /controlpanels/{uuid}/controlconnections endpoints have been replaced with a single endpoint [POST] /controlconnections. The sending side component (whether a Control Panel or a Control Receiver) is passed as a parameter in the JSON HTTP body. Delete endpoints for controlconnections formerly under Control Panel and Control Receiver, have been replaced with a single endpoint [DELETE] /controlreceivers/{uuid}, which will close both sides of the connection.
• When closing streams, the [DELETE] /ingests/{uuid}/streamconnections/{connection_id} and [DELETE] /pipeline/{uuid}/streamconnections/{connection_id} have been replaced by a single endpoint [DELETE] /streams/{uuid}, which will close down both sides of the Stream.
• The endpoints for getting information from either the Ingest or Pipeline end of a Stream has been moved from [GET] /ingests/{uuid}/streamconnections/{connection_id} and [GET] /pipeline/{uuid}/streamconnections/{connection_id}to [GET] /ingests/{uuid}/streams/{stream_uuid} and [GET] /pipeline/{uuid}/streams/{stream_uuid}, where stream_uuid is the system-wide, unique identifier of the stream and is the same UUID on both the Ingest and Pipeline side of the connection in contrast to the old connection_id which was different in the Ingest and the Pipeline.
• The endpoint for changing the alignment of a stream has been moved from [PATCH] /pipelines/{uuid}/streamconnections/{connection_id} to [PATCH] /streams/{uuid}.
• The parameter id referring to a source has changed name to source_id in [POST] /streams and in responses from the Ingest when querying for information on the Sources or Streams.
• The parameters resolution_x and resoulution_y have changed name to width and height in several endpoints, among others the [POST] /streams and [POST] /ingests/{uuid}/sources/{source_id}/thumbnail.
• The thumbnails endpoint has been moved from [POST] /ingests/{uuid}/thumbnail to [POST] /ingests/{uuid}/sources/{source_id}/thumbnail, passing the source_id parameter in the path instead of the JSON HTTP body.
• The new encoder parameter must be specified when requesting thumbnails using the [POST] /ingests/{uuid}/sources/{source_id}/thumbnail endpoint. Set it to auto unless a specific implementation is required.

Upgrade to 2.0.0 from 1.0.0

System Controller

• Make sure to generate a new PSK (pre-shared key) for the acl_sc_settings.json file. This will be used to authorize components connecting to the System controller. All components connecting to the System controller must use the same PSK set using the environment variable ACL_SYSTEM_CONTROLLER_PSK. In case a component is started without the environment variable it will log an error and stop. Read more about this in the Security tutorial.

ProductionPipeline

• The API of the former struct AlignedData::DataFrame has changed.
  • The namespace AlignedData has been removed and the struct itself has been renamed to AlignedFrame. The enums CompressedVideoFormat and PixelFormat and typedef AudioSampleRow have been moved inside the struct.
  • The field mPTS has been removed and replaced by two new fields mCaptureTimestamp and mRenderingTimestamp, where the first is the TAI timestamp in mircoseconds since the UNIX epoch when the frame was captured by the Ingest and the second one is the timestamp when the frame was delivered to the Rendering Engine from the MediaReceiver. Both these timestamps are rounded to the nearest even frame step since the UNIX epoch, which should make it easier to group frames with the same rendering time. The mRenderingTimestamp is also used by the OutputStreamer to calculate the timestamps for the outgoing streams, so in case the Rendering Engine creates new AlignedFrame instances, make sure this value is incremented correctly for each frame that is put to the OutputStreamer.
  • The CUDA pointer mVideoDataCudaPtr has been removed in favor for an std::shared_ptr to an RAII class called DeviceMemory that keeps track of the CUDA memory pointer adn releases the memory automatically once not longer used by anyone. This makes it possible for the Rendering Engine to make copies of the shared pointer and then discard the AlignedFrame it was delivered with, in order to, for instance, cache the video frame or to handle video and audio data separately. Please do remember that the DeviceMemory from the AlignedFrames delivered by the MediaReceiver is read-only and should never be changed by any CUDA kernel, as this memory is also used by the multi-view generator to generate the multi-view outputs. The Rendering Engine might copy the shared pointer and keep it at long as it wants to, but never change the content of the DeviceMemory or write to the CUDA memory pointed to by it. AlignedFrames (and DeviceMemory instances made outside of an AlignedFrame) created by the Rendering Engine can of course be changed and used freely.

1.6 - Reference

1.6.1 - Agile Live 6.0.0 developer reference

1.6.1.1 - REST API v2

The following is a rendering of the OpenAPI for the Agile Live System Controller using Swagger. It does not have a backend server, so it cannot be run interactively.

This API is available from the server at the base URL /api/v2.

1.6.1.2 - Agile Live Rendering Engine command documentation

This page describes all the commands available in the Agile Live Rendering Engine.

Command protocol

All commands to the Agile Live Rendering Engine is sent as human readable strings and are listed below. The Rendering Engine expect no line termination, meaning that you do not need to append any type of new line (\n) characters, or string termination (\0) characters.

Video commands

Background

The data path of the video mixer in the Rendering Engine looks as follows:

There are eight different node types used in this mixer.

• The Transition node is used to pick which input slots to use for the program and preview output. The node also supports making transitions between the program and preview.
• The Select node simply forwards one of the available sources to its output.
• The Transform node takes one input stream and transforms it (scaling and translating) to one output stream.
• The Alpha combine node is used to pick two input slots (or the same input slot) to copy the color from one input and combine it with some information from the other input to form the alpha. The color will just be copied from the color input frame, but there are several modes that can be used to produce the alpha channel in the output frame in different ways. This is known as “key & fill” in broadcasting.
• The Alpha over node is used to perform an “Alpha Over” operation, that is to put the overlay video stream on top of the background video stream, and let the background be seen through the overlay depending on the alpha of the overlay. The node also features fading the graphics in and out by multiplying the alpha channel by a constant factor.
• The Chroma Key node takes one input stream, and by setting appropriate parameters for the keying, it will remove areas with the key color from the incoming video stream both affecting the alpha and color channels
• The Fade to black node takes one input stream, which it can fade to or from black gradually, and then outputs that stream.
• The Output node has one input stream and will output that stream out from the video mixer, back to the Rendering Engine

There are six different flows into this mixer. There is the one starting with the Transition node, which represents the main program that is being produced. Overlaying on top of that is one key+fill graphics overlay (starting with an Alpha Combine node which can combine two video inputs with key form one and fill from another, or both from the same source), then there is a chroma key overlay, which can be used to add green screen effects (Starting with a Select node), then there are two instances of picture-in-picture flows (also starting with select nodes) and on top of that another graphics overlay, called HTML graphics in the illustration, but which can be used with any source where the key and fill comes from the same source. The overlay flows are inserted into the main program using Alpha over nodes.

Each video command in the Rendering Engine command protocol targets one of these nodes.

Transitions

The main flow of the video mixer can be controlled with the following commands:

• transition cut <input_slot> - Cut (hot punch) the program output to the given input slot. This won’t affect the preview output.
• transition preview <input_slot> - Preview the given input slot. This won’t affect the program output.
• transition cut - Cut between the current program and preview outputs, effectively swapping their place.
• transition panic <input_slot> - Cut (hot punch) both the preview and program output to the given input slot.

Some transition commands last over a duration of time, for example wipes. These can be performed either automatically or manually. The automatic mode works by the operator first selecting the type of transition, for instance a fade, setting the preview to the input slot to fade to and then trigger the transition at the right time with a set duration for the transition. In manual mode the exact “position” of the transition is set by the control panel. This is used for implementing T-bars, where the T-bar repeatedly sends the current position of the bar. In the manual mode, the transition type is set before the transition begins, just as in the automatic mode. Note that an automatic transition will be overridden in case the transition “position” is manually set, by interrupting the automatic transition and jumping to the manually set position.

• transition type <type> - Set the transition type to use for transitions hereafter. Valid modes are:
  • fade - Fade (mix) from one source to the next
  • wipe_left - Wipe from one source to the next, wipe going from right side of the screen to the left
  • wipe_right - Wipe from one source to the next, wipe going from left side of the screen to the right
• transition auto <duration_ms> - Perform an automatic transition from the current program output to the current preview output, lasting for <duration_ms> milliseconds. The currently set transition type is used.
• transition factor <factor> - Manually set the position/factor of the transition. <factor> should be between 0.0 and 1.0, where 0.0 is the value before the transition starts and 1.0 is the end of the transition. Note that setting this value to 1.0 will effectively swap place of program and preview output, resetting the transition factor to 0.0 internally. Control panels using this command must take this into consideration to not cause a sudden jump in the transition once the physical control is moved again. Sending this command will interrupt any ongoing automatic transition.

Key and fill

The key and fill graphics flow will be inserted before the picture-in-picture flows, and will therefore be rendered under them. The graphics flow can be controlled with these commands:

• alpha_combine color <input_slot> - Set which input slot to copy the color data from in the Alpha combine node
• alpha_combine alpha <input_slot> - Set which input slot to use to create the alpha channel of the output frame in the Alpha combine node
• alpha_combine mode <mode> - Set which way the alpha channel of the output frame will be produced. Valid modes are:
  • copy-r - Copy the R-channel of the input “alpha frame” and use it as alpha for the output
  • copy-g - Copy the G-channel of the input “alpha frame” and use it as alpha for the output
  • copy-b - Copy the B-channel of the input “alpha frame” and use it as alpha for the output
  • copy-a - Copy the A-channel of the input “alpha frame” and use it as alpha for the output
  • average-rgb - Take the average of the R, G and B channels of the input “alpha frame” and use it as alpha channel for the output
• alpha_over factor <factor> - Manually set the transparency multiplier for the Alpha over node. The value <factor> should be a float between 0.0 and 1.0, where 0.0 means that the overlay is completely invisible and 1.0 means that the overlay is fully visible (where it should be visible according to the overlay image’s alpha channel). Default is 0.0.
• alpha_over fade to <duration_ms> - Start an automatic fade from the current factor to a fully visible overlay over the duration of <duration_ms> milliseconds.
• alpha_over fade from <duration_ms> - Start an automatic fade from the current factor to a fully invisible overlay over the duration of <duration_ms> milliseconds.

Picture-in-Picture

The two picture-in-picture boxes can be controlled with these commands:

• pip1_select cut <input_slot> - Choose which input slot to forward. Changing looks like a cut.
• pip1_transform scale <factor> - Set the scale of the picture-in-picture box, relative the original size. Parameter factor must be > 0. Default is 1.0.
• pip1_transform x <position> - Set the X offset of the top left corner of the picture-in-picture box, relative the top left corner of the frame. Position is measured in percent of frame width, where 0.0 is the left side of the frame and 1.0 is the right side of the frame. Values outside of the range 0, 1 are valid. Default is 0.0.
• pip1_transform y <position> - Set the Y offset of the top left corner of the picture-in-picture box, relative the top left corner of the frame. Position is measured in percent of frame height, where 0.0 is the top of the frame and 1.0 is the bottom of the frame. Values outside of the range 0, 1 are valid. Default is 0.0.
• pip1_alpha_over factor <factor> - Manually set the transparency multiplier for the picture-in-picture 1 Alpha over node. The value <factor> should be a float between 0.0 and 1.0, where 0.0 means that the picture-in-picture box is completely invisible and 1.0 means that the box is fully visible. Default is 0.0.
• pip1_alpha_over fade to <duration_ms> - Start an automatic fade from the current factor to a fully visible picture-in-picture box over the duration of <duration_ms> milliseconds.
• pip1_alpha_over fade from <duration_ms> - Start an automatic fade from the current factor to a fully invisible picture-in-picture box over the duration of <duration_ms> milliseconds.

For the second picture-in-picture flow, replace pip1 with pip2.

Chroma Key

The nodes of the chroma key branch of the graph can be controlled with these commands:

• chroma_key_select cut <input_slot> - Choose which input slot to forward. Changing looks like a cut.
• chroma_key r <value> - Set the red component of the chroma key color. Should be a float between 0.0 and 1.0.
• chroma_key g <value> - Set the green component of the chroma key color. Should be a float between 0.0 and 1.0.
• chroma_key b <value> - Set the blue component of the chroma key color. Should be a float between 0.0 and 1.0.
• chroma_key distance <value> - Set the distance parameter, ranging from 0.0 to 1.0, telling how far from the key color is also considered a part of the key. Larger values will result in more colors being included, 0.0 means only the exact key color is considered.
• chroma_key falloff <value> - Set the falloff parameter, ranging from 0.0 to 1.0, which makes edges smoother. A lower value means harder edges between the key color and the parts to keep, a higher value means a more smooth falloff between removed and kept parts.
• chroma_key spill <value> - Set the color spill reduction parameter, ranging from 0.0 to 1.0, which will desaturate the key color in the parts of the image that are left. Useful for hiding green rims around objects in from of a green screen etc. 0.0 means off and a higher value means more colors further away from the chroma key color will be desaturated.
• chroma_key color_picker <x_factor> <y_factor> <square_size> - Set the chroma key by sampling the pixels covered by the square area of size square_size x square_size. The position x,y is set by <x_factor> * width of video and <y_factor> * height of video. <x_factor> & <y_factor> should be a float between 0.0 and 1.0. The <square_size> should be an integer > 0.0.
• chroma_key alpha_as_video <value> - Instead of writing an alpha mask, set the alpha value as the RGB value, creating a grayscale image of the mask. Value should be 0.0 or 1.0.
• chroma_key show_key_color <value> - Draw a 100x100 box in upper left corner with the current chroma key (RGB) value. Value should be 0.0 or 1.
• chroma_key show_color_picker <value> - Draw a pink border around the area where the color picker will sample a new chroma key. Value should be 0.0 or 1.
• chroma_key_transform scale <factor> - Set the scale of the chroma key output, relative the original size. Parameter factor must be > 0.0. Default is 1.0.
• chroma_key_transform x <position> - Set the X offset of the top left corner of the chroma key output, relative the top left corner of the frame. Position is measured in percent of frame width, where 0.0 is the left side of the frame and 1.0 is the right side of the frame. Values outside of the range 0.0, 1.0 are valid. Default is 0.0.
• chroma_key_transform y <position> - Set the Y offset of the top left corner of the chroma key output, relative the top left corner of the frame. Position is measured in percent of frame height, where 0.0 is the top of the frame and 1.0 is the bottom of the frame. Values outside of the range 0.0, 1.0 are valid. Default is 0.0.
• chroma_key_alpha_over factor <factor> - Manually set the transparency multiplier for the chroma key Alpha over node. The value <factor> should be a float between 0.0 and 1.0, where 0.0 means that the chroma key output is completely invisible and 1.0 means that the chroma key output is fully visible. Default is 0.0.
• chroma_key_alpha_over fade to <duration_ms> - Start an automatic fade from the current factor to a fully visible chroma key output over the duration of <duration_ms> milliseconds.
• chroma_key_alpha_over fade from <duration_ms> - Start an automatic fade from the current factor to a fully invisible chroma key output over the duration of <duration_ms> milliseconds.

Graphics overlay (HTML)

The overlay graphics flow, marked with HTML in the illustration. This will be inserted on top of both the key and fill and picture-in-picture. It can be controlled with these commands:

• html_select cut <input_slot> - Choose which input slot to use for the graphics. It must contain both fill and key (such as the HTML graphics), otherwise, no parts of the layer will be transparent. Changing looks like a cut.
• html_alpha_over factor <factor> - Manually set the transparency multiplier for the graphics overlay Alpha over node. The value <factor> should be a float between 0.0 and 1.0, where 0.0 means that the graphics is completely invisible and 1.0 means that it is fully visible. Default is 0.0.
• html_alpha_over fade to <duration_ms> - Start an automatic fade from the current factor to a fully visible graphics over the duration of <duration_ms> milliseconds.
• html_alpha_over fade from <duration_ms> - Start an automatic fade from the current factor to a fully invisible graphics over the duration of <duration_ms> milliseconds.

Fade to black

The fade to black node can be controlled via the following commands:

• fade_to_black factor <factor> - Manually set the blackness factor on a scale from 0.0 to 1.0, where 0.0 means not black and 1.0 means fully black output.
• fade_to_black fade to <duration_ms> - Start an automatic fade to a fully black output over the duration of <duration_ms> milliseconds.
• fade_to_black fade from <duration_ms> - Start an automatic fade to a fully visible (non-black) output over the duration of <duration_ms> milliseconds.

Audio Router commands

The same audio router is used to route specific audio channels from an input slot of the Rendering Engine to an input channel strip on the audio mixer. By default, it has no audio routes set up. The router can be controlled with the following commands:

• audio map <input_slot> <channel> mono <input_strip> - Map the <channel> from input slot <input_slot> as a mono channel into input strip <input_strip> of the audio mixer
• audio map <input_slot> <left_channel> stereo <input_strip> - Map the <left_channel> and <left_channel> + 1 from input slot <input_slot> as a stereo pair into input strip <input_strip> of the audio mixer ’ audio map reset <input_strip> - Remove the current mapping from <input_strip> of the audio mixer.

Audio commands

The audio mixer and audio router have the following data path:

In the example picture above, three sources are connected to the input slots and four mono or stereo audio streams are picked as input to the audio mixer. The audio mixer is completely separate from the video mixer, so switching image in the video mixer will not change the audio mixer in any way. The internal audio mixer can be controlled using the following commands:

To control the pre-gain of each input strip use:

• audio gain <input_strip> <level_dB> - Set the pre-gain level of a specific input in dB. Parameter <level> should be a floating point number. Default is 0.0.

To control the low-pass filter of each input strip use:

• audio lpf <input_strip> freq <value> - Set the cutoff frequency for the low-pass filter in an input strip. <value> is the frequency in Hz as a floating point number. The frequency range is 20 Hz to 20 kHz. Setting a value of 20 kHz or higher will bypass the filter.
• audio lpf <input_strip> q <value> - Set the q-value for the low-pass filter in an input strip. The q-value controls the steepness of cutoff curve with a higher value being a steeper slope. The value is a floating point number ranging from 0.4 to 6.0. The default value is 0.7.

To control the high-pass filter of each input strip use:

• audio hpf <input_strip> freq <value> - Set the cutoff frequency for the high-pass filter in an input strip. <value> is the frequency in Hz as a floating point number. The frequency range is 20 Hz to 20 kHz. Setting a value of 20 Hz or lower will bypass the filter.
• audio hpf <input_strip> q <value> - Set the q-value for the high-pass filter in an input strip. The q-value controls the steepness of cutoff curve with a higher value being a steeper slope. The value is a floating point number ranging from 0.4 to 6.0. The default value is 0.7.

To control the parametric equalizer of each input strip use (the equalizer has three bands):

• audio eq <input_strip> <band> freq <value> - Set the frequency of a specific band in the parametric equalizer. Here <band> is a zero based index of the band, where 0 is the first band with the lowest frequency. <value> is a floating point number with the frequency in Hz
• audio eq <input_strip> <band> gain <value> - Set the gain of a specific band in the parametric equalizer. Here <band> is a zero based index of the band, where 0 is the first band with the lowest frequency. <value> is a floating point number with the gain in dB.
• audio eq <input_strip> <band> q <value> - Set the q-value of a specific band in the parametric equalizer to shape the falloff of the band. Here <band> is a zero based index of the band, where 0 is the first band with the lowest frequency. <value> is a floating point number with the q-value where a higher value means a more pointy curve. Default value is 0.7.
• audio eq <input_strip> <band> type <type> - Set the type of falloff to use for a specific band in the parametric equalizer. Here <band> is a zero based index of the band, where 0 is the first band with the lowest frequency. <type> is either of low, band or high, where low and high is a low and high shelf filter and band is a band pass filter. By default, the first band is low shelf, the last band is high shelf and any bands inbetween are band pass.

To control the panning of each input strip use:

• audio pan <input_strip> <factor> - Pan the mono or stereo input of an input strip to the left or right. The range of <factor> is between -1.0 and +1.0, where 0.0 means center (no panning), negative values means more to the left and positive value more to the right. Values outside this range will be clamped. A value of +/- 1.0 means that there will only be audio in the left/right channel.

To control the dynamic range compressor of each input strip use:

• audio comp <input_strip> threshold <value> - Set the threshold for activation of the compressor. The threshold is a negative dB value ranging from -30 dB to 0 dB. The volume of audio which is above the threshold value will be reduced (compressed). The default value is 0 dB, i.e. only compression if the audio signal is overloaded.
• audio comp <input_strip> ratio <value> - Set the compression ratio for audio exceeding the loudness threshold. The value is the numerator in the compression ratio <value>:1. For instance, if the value is set to 4, the compression ratio is 4:1 and volume overshoot above the threshold will be scaled down to 25 %. The ratio numerator is a floating point number in the range from 1.0 to 24.0, with 4.0 as the default value.
• audio comp <input_strip> knee <value> - Set the width of the soft knee in decibels. Instead of simply turning the compression completely on or off at the threshold, the knee defines a volume range in which the compression ratio follows a curve, the “knee”. The knee is a floating point number between 0 dB and 30 dB, with a default value of 2.5 dB.
• audio comp <input_strip> attack <value> - Set the attack time of the compressor in milliseconds. The attack time determines how long it takes to reach the full compression after the threshold has been exceeded. The value is a floating point number in the range from 0.1 ms to 120 ms. The default value is 50 ms.
• audio comp <input_strip> release <value> - Set the release time of the compressor in milliseconds. The release time determines how long it takes to return to zero compression when the volume is below the compression threshold. The value is a floating point number in the range from 10 ms to 1000 ms. The default value is 200 ms.
• audio comp <input_strip> gain <value> - Set the make-up gain i decibels. Since the compression filter lowers the volume of louder audio sections it can be desirable to increase the gain after the filtering. The gain value increases the audio volume with the specified number of decibels. The value is a floating point number in the range from 0 dB to 24 dB. The default value is 0 dB.

To control the volume faders and master volume faders use:

• audio volume <input_strip> <output> <level> - Set the volume level of a specific input in proportion to its original strength for a given output. Parameter <level> should be a floating point number, where 0.0 means that the input slot is not mixed into the output at all and 1.0 means that the volume of the input slot is kept as is for the output. The signal can also be amplified by using values > 1.0. Default is 0.0.
• audio mastervolume <output> <level> - Set the master volume level of an output, before the audio is clamped and converted from floating point samples to 16-bit integer samples. This can be used to avoid clipping of the audio when mixing multiple input sources. Parameter <level> is a floating point number where 0.0 means that all audio output is off, 1.0 means that the volume is not changed and any value above 1.0 means that the master volume is amplified. Default is 1.0.

HTML rendering

The Rendering Engine also features a built-in HTML renderer which uses the Chromium web browser engine to render HTML pages. The following commands can be used to create and control the HTML browser instances:

• html create <input_slot> <width> <height> - Create a new HTML browser instance with the canvas size of width x height pixels and output the rendered frames to the given input slot
• html close <input_slot> - Close the HTML browser instance on the given input slot
• html load <input_slot> <url> - Load a new URL in the HTML browser on the given input slot
• html execute <input_slot> <java script> - Execute JavaScript in the HTML browser on the given input slot. The JavaScript snippet might span over multiple lines and may contain spaces.

Media player

The Rendering Engine can create media player instances to play video and audio files from the hard drive of the machine running the Rendering Engine. It is up to the user of the API to ensure the files are uploaded to the machines running the Rendering Engine(s) before trying to run them. The media players use the FFmpeg library to demux and decode the media files, so most files supported by FFmpeg should work. The media players each have three state parameters: start, duration and looping, to mark a section of the video to loop, or a last frame to stop at in case looping is set to false. The following commands can be used to create and control the media player instances:

• media create <input_slot> <filename> - Create a new media player instance with the given media file and output the rendered frames to the given input slot.
• media load <input_slot> <filename> - Load another file into an existing media player on the given input slot. This will reset the start, duration and looping parameters of that media player.
• media close <input_slot> - Close the media player instance on the given input slot
• media play <input_slot> - Start/resume playing the currently loaded media file in the media player on the given input slot
• media pause <input_slot> - Pause the media player on the given input slot
• media seek <input_slot> <time_ms> - Seek the media player on the given input slot to a time point time_ms milliseconds from the start of the media file and pause the playback at the first frame. Use media play <input_slot> to resume the playback
• media set_start <input_slot> <start_time_ms> - Set the start time of the looping section of the media player on the given input slot to a time point start_time_ms milliseconds from the start of the media file. It will still be possible to seek before this time point and play the video from there.
• media set_duration <input_slot> <duration_ms> - Set the duration of the playing/looping section of the media player on the given input slot to duration_ms milliseconds from the start_time_ms of the media file. The duration will be clamped in case it spans past the end of the media file. A running media player will either stop at this point, or loop the video depending on the state of the looping parameter
• media set_looping <input_slot> <true/false> - Set if the media should loop from the start time when the media player on the given input slot hits either the end of the looping section defined by the start time and duration, or the end of the media file. If set to false, the media player will stop at the end of the section or at the end of the file instead of looping it from the start point.

1.6.1.3 - C++ SDK

1.6.1.3.1 - Classes

Classes

• namespace ACL
• namespace AclLog
  A namespace for logging utilities.
  • class CommandLogFormatter
    This class is used to format log entries for Rendering Engine commands.
  • class FileLocationFormatterFlag
    A custom flag formatter which logs the source file location between a par of “[]”, in case the location is provided with the log call.
  • class ThreadNameFormatterFlag
• struct AlignedAudioFrame
  AlignedAudioFrame is a frame of interleaved floating point audio samples with a given number of channels.
• struct AlignedFrame
  A frame of aligned data that is passed to the rendering engine from the MediaReceiver. A DataFrame contains a time stamped frame of media, which might be video, audio and auxiliary data such as subtitles. A single DataFrame can contain one or multiple types of media. Which media types are included can be probed by nullptr-checking/size checking the data members. The struct has ownership of all data pointers included. The struct includes all logic for freeing the resources held by this struct and the user should therefore just make sure the struct itself is deallocated to ensure all resources are freed.
• namespace ControlDataCommon
  • struct ConnectionStatus
    Connection status struct containing information about a connection event.
  • struct Response
    A response from a ControlDataReceiver to a request. The UUID tells which receiver the response is sent from.
  • struct StatusMessage
    A status message from a ControlDataReceiver. The UUID tells which receiver the message is sent from.
• class ControlDataReceiver
  A ControlDataReceiver can receive messages from a sender or another ControlDataReceiver using a network connection. It can also connect to and forward the incoming request messages to other receivers. The connections to the sender and the other receivers are controlled by an ISystemControllerInterface instance. The ControlDataReceiver has a receiving or listening side, as well as a sending side. The listening side can listen to one single network port and have multiple ControlDataSenders and ControlDataReceivers connected to that port to receive requests from them. On the sending side of the ControlDataReceiver, it can be connected to the listening side of other ControlDataReceivers, used to forward all incoming messages to that receiver, as well as sending its own requests.
  • struct IncomingRequest
    An incoming request to this ControlDataReceiver.
  • struct ReceiverResponse
    A response message to a request.
  • struct Settings
    Settings for a ControlDataReceiver.
• class ControlDataSender
  A ControlDataSender can send control signals to one or more receivers using a network connection. A single ControlDataSender can connect to multiple receivers, all identified by a UUID. The class is controlled using an ISystemControllerInterface; this interface is responsible for setting up connections to receivers. The ControlDataSender can send asynchronous requests to (all) the receivers and get a response back. Each response is identified with a request ID as well as the UUID of the responding receiver. The ControlDataSender can also receive status messages from the receivers.
  • struct Settings
    Settings for a ControlDataSender.
• class DeviceMemory
  RAII class for a CUDA memory buffer.
• class ISystemControllerInterface
  An ISystemControllerInterface is the interface between a component and the System controller controlling the component. The interface allows for two-way communication between the component and the system controller by means of sending requests and getting responses. Classes deriving from the ISystemControllerInterface should provide the component side implementation of the communication with the system controller. This interface can be inherited and implemented by developers to connect to custom system controllers, or to directly control a component programmatically, without the need for connecting to a remote server. An ISystemControllerInterface can have a parent-child relationship with other interfaces, where the children are aware of which their parent interface is. This is useful for components that provides extra features for another component, but where the components are still to be considered as two separate entities with separate connections to the System controller.
  • struct Callbacks
    A struct containing the callbacks that needs to be registered by the component using this interface.
  • struct Response
    A response to a request, consists of a status code and an (optional) parameters JSON object.
• class IngestApplication
  • struct Settings
• namespace IngestUtils
• class MediaReceiver
  A MediaReceiver contains the logic for receiving, decoding and aligning incoming media sources from the Ingests. The aligned data is then delivered to the Rendering Engine which is also responsible for setting up the MediaReceiver. The MediaReceiver has a builtin multi view generator, which can create output streams containing composited subsets of the incoming video sources. This class is controlled using an ISystemControllerInterface provided when starting it.
  • struct NewStreamParameters
    A struct containing information on the format of an incoming stream.
  • struct Settings
    Settings for a MediaReceiver.
• class MediaStreamer
  MediaStreamer is a class that can take a single stream of uncompressed video and/or audio frames and encode and output it in some way to some interface. This interface can either be a stream to a network or writing down the data to a file on the hard drive. This class is configured from two interfaces. The input configuration (input video resolution, frame rate, pixel format, number of audio channels…) is made through this C++ API. The output stream is then started from the System Controller. Any of these configurations can be made first. The actual stream to output will start once the first call to.
  • struct Configuration
    The input configuration of the frames that will be sent to this MediaStreamer. The output stream configuration is made from the System controller via the ISystemControllerInterface.
• class PipelineSystemControllerInterfaceFactory
• class SystemControllerConnection
  An implementation of the ISystemControllerInterface for a System controller residing in a remote server. The connection to the server uses a Websocket.
  • struct Settings
    Settings for a SystemControllerConnection.
• namespace TimeCommon
  • struct TAIStatus
  • struct TimeStructure
• namespace UUIDUtils
  A namespace for UUID utility functions.
• namespace spdlog

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.1 - AclLog::CommandLogFormatter

AclLog::CommandLogFormatter

This class is used to format log entries for Rendering Engine commands.

#include <AclLog.h>

Inherits from spdlog::formatter

Public Functions

Public Functions Documentation

function CommandLogFormatter

CommandLogFormatter()

function format

void format(
    const spdlog::details::log_msg & msg,
    spdlog::memory_buf_t & dest
) override

function clone

std::unique_ptr< spdlog::formatter > clone() const override

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.2 - AclLog::FileLocationFormatterFlag

AclLog::FileLocationFormatterFlag

A custom flag formatter which logs the source file location between a par of “[]”, in case the location is provided with the log call.

#include <AclLog.h>

Inherits from spdlog::custom_flag_formatter

Public Functions

Public Functions Documentation

function format

inline void format(
    const spdlog::details::log_msg & msg,
    const std::tm & ,
    spdlog::memory_buf_t & dest
) override

function clone

inline std::unique_ptr< custom_flag_formatter > clone() const override

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.3 - AclLog::ThreadNameFormatterFlag

AclLog::ThreadNameFormatterFlag

Inherits from spdlog::custom_flag_formatter

Public Functions

Public Functions Documentation

function format

inline void format(
    const spdlog::details::log_msg & ,
    const std::tm & ,
    spdlog::memory_buf_t & dest
) override

function clone

inline std::unique_ptr< custom_flag_formatter > clone() const override

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.4 - AlignedAudioFrame

AlignedAudioFrame

AlignedAudioFrame is a frame of interleaved floating point audio samples with a given number of channels.

#include <AlignedFrame.h>

Public Attributes

Public Attributes Documentation

variable mSamples

std::vector< float > mSamples;

variable mNumberOfChannels

uint8_t mNumberOfChannels = 0;

variable mNumberOfSamplesPerChannel

uint32_t mNumberOfSamplesPerChannel = 0;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.5 - AlignedFrame

AlignedFrame

A frame of aligned data that is passed to the rendering engine from the MediaReceiver. A DataFrame contains a time stamped frame of media, which might be video, audio and auxiliary data such as subtitles. A single DataFrame can contain one or multiple types of media. Which media types are included can be probed by nullptr-checking/size checking the data members. The struct has ownership of all data pointers included. The struct includes all logic for freeing the resources held by this struct and the user should therefore just make sure the struct itself is deallocated to ensure all resources are freed.

#include <AlignedFrame.h>

Public Functions

Public Attributes

Public Functions Documentation

function AlignedFrame

AlignedFrame() =default

function ~AlignedFrame

~AlignedFrame() =default

function AlignedFrame

AlignedFrame(
    AlignedFrame const & 
) =delete

function operator=

AlignedFrame & operator=(
    AlignedFrame const & 
) =delete

function makeShallowCopy

std::shared_ptr< AlignedFrame > makeShallowCopy() const

Make a shallow copy of this AlignedFrame (video and audio pointers will point to the same video and audio memory buffers as in the frame copied from)

Return: A pointer to a new frame, which is a shallow copy of the old one, pointing to the same video and audio memory buffers

Public Attributes Documentation

variable mCaptureTimestamp

int64_t mCaptureTimestamp = 0;

The TAI timestamp in microseconds since the TAI epoch when this frame was captured by the ingest

variable mRenderingTimestamp

int64_t mRenderingTimestamp = 0;

The TAI timestamp in microseconds since the TAI epoch when this frame should be delivered to the rendering engine

variable mVideoFrame

std::shared_ptr< DeviceMemory > mVideoFrame = nullptr;

variable mPixelFormat

PixelFormat mPixelFormat = PixelFormat::kUnknown;

variable mFrameRateN

uint32_t mFrameRateN = 0;

variable mFrameRateD

uint32_t mFrameRateD = 0;

variable mWidth

uint32_t mWidth = 0;

variable mHeight

uint32_t mHeight = 0;

variable mAudioFrame

AlignedAudioFramePtr mAudioFrame = nullptr;

variable mAudioSamplingFrequency

uint32_t mAudioSamplingFrequency = 0;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.6 - ControlDataCommon::ConnectionStatus

ControlDataCommon::ConnectionStatus

Connection status struct containing information about a connection event.

#include <ControlDataCommon.h>

Public Functions

Public Attributes

Public Functions Documentation

function ConnectionStatus

ConnectionStatus() =default

function ConnectionStatus

inline ConnectionStatus(
    ConnectionType mConnectionType,
    const std::string & mIp,
    uint16_t mPort
)

Public Attributes Documentation

variable mConnectionType

ConnectionType mConnectionType = ConnectionType::DISCONNECTED;

variable mIP

std::string mIP;

variable mPort

uint16_t mPort = 0;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.7 - ControlDataCommon::Response

ControlDataCommon::Response

A response from a ControlDataReceiver to a request. The UUID tells which receiver the response is sent from.

#include <ControlDataCommon.h>

Public Attributes

Public Attributes Documentation

variable mMessage

std::vector< uint8_t > mMessage;

variable mRequestId

uint64_t mRequestId = 0;

The actual message.

variable mFromUUID

std::string mFromUUID;

The ID of the request this is a response to.

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.8 - ControlDataCommon::StatusMessage

ControlDataCommon::StatusMessage

A status message from a ControlDataReceiver. The UUID tells which receiver the message is sent from.

#include <ControlDataCommon.h>

Public Attributes

Public Attributes Documentation

variable mMessage

std::vector< uint8_t > mMessage;

variable mFromUUID

std::string mFromUUID;

The actual message.

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.9 - ControlDataReceiver

ControlDataReceiver

A ControlDataReceiver can receive messages from a sender or another ControlDataReceiver using a network connection. It can also connect to and forward the incoming request messages to other receivers. The connections to the sender and the other receivers are controlled by an ISystemControllerInterface instance. The ControlDataReceiver has a receiving or listening side, as well as a sending side. The listening side can listen to one single network port and have multiple ControlDataSenders and ControlDataReceivers connected to that port to receive requests from them. On the sending side of the ControlDataReceiver, it can be connected to the listening side of other ControlDataReceivers, used to forward all incoming messages to that receiver, as well as sending its own requests. More…

#include <ControlDataReceiver.h>

Public Classes

Public Functions

Detailed Description

class ControlDataReceiver;

A ControlDataReceiver can receive messages from a sender or another ControlDataReceiver using a network connection. It can also connect to and forward the incoming request messages to other receivers. The connections to the sender and the other receivers are controlled by an ISystemControllerInterface instance. The ControlDataReceiver has a receiving or listening side, as well as a sending side. The listening side can listen to one single network port and have multiple ControlDataSenders and ControlDataReceivers connected to that port to receive requests from them. On the sending side of the ControlDataReceiver, it can be connected to the listening side of other ControlDataReceivers, used to forward all incoming messages to that receiver, as well as sending its own requests.

Each ControlDataReceiver can be configured to have a certain message delay. This delay parameter is set when the System controller instructs the ControlDataReceiver to start listening for incoming connections from senders (or sending ControlDataReceiver). Each incoming request will then be delayed and delivered according to the parameter, compared to the send timestamp in the message. In case multiple receivers are chained, like sender->receiver1->receiver2, receiver1 will delay the incoming messages from the sender based on when they were sent from the sender. Furthermore, receiver2 will delay them compared to when they were sent from receiver1.

A ControlDataReceiver can send status messages back to the sender. In case of chained receivers, the message will be forwarded back to the sender. A user of the ControlDataReceiver can register callbacks to receive requests and status messages. There is also an optional “preview” callback that is useful in case the incoming messages are delayed (have a delay > 0). This callback will then be called as soon as the request message arrives, to allow the user to prepare for when the actual delayed request callback is called.

Public Functions Documentation

function ControlDataReceiver

ControlDataReceiver()

Default constructor, creates an empty object.

function ~ControlDataReceiver

~ControlDataReceiver()

Destructor. Will disconnect from the connected receivers and close the System controller connection.

function configure

bool configure(
    const std::shared_ptr< ISystemControllerInterface > & controllerInterface,
    const Settings & settings
)

Configure this ControlDataReceiver and connect it to the System Controller. This method will fail in case the ISystemControllerInterface has already been connected to the controller by another component, as such interface can only be used by one component.

Parameters:

• controllerInterface The interface to the System controller, used for communicating with this ControlDataReceiver
• settings The settings to use for this ControlDataReceiver

Return: True on success, false otherwise

function sendStatusMessageToSender

bool sendStatusMessageToSender(
    const std::vector< uint8_t > & message
)

Send a status message to the (directly or indirectly) connected ControlDataSender. In case this ControlDataReceiver has another ControlDataReceiver as sender, that receiver will forward the status message to the sender.

Parameters:

• message The status message

Return: True in case the message was sent successfully, false otherwise.

function sendRequestToReceivers

bool sendRequestToReceivers(
    const std::vector< uint8_t > & request,
    uint64_t & requestId
)

Send a request to the connected ControlDataReceivers asynchronously. This request will only be sent to ControlDataReceivers on the sending side of this receiver. In case a receiver is located between this ControlDataReceiver and the sender, neither of those will see this request. The response will be sent to the response callback asynchronously.

Parameters:

• request The request message
• requestId The unique identifier of this request. Used to identify the async response.

Return: True if the request was successfully sent, false otherwise

function sendMultiRequestToReceivers

bool sendMultiRequestToReceivers(
    const std::vector< std::vector< uint8_t >> & request,
    uint64_t & requestId
)

Send a multi-message request to the connected ControlDataReceivers asynchronously. This request will only be sent to ControlDataReceivers on the sending side of this receiver. In case a receiver is located between this ControlDataReceiver and the sender, neither of those will see this request. The response will be sent to the response callback asynchronously.

Parameters:

• request The request message
• requestId The unique identifier of this request. Used to identify the async response.

Return: True if the request was successfully sent, false otherwise

function ControlDataReceiver

ControlDataReceiver(
    ControlDataReceiver const & 
) =delete

function operator=

ControlDataReceiver & operator=(
    ControlDataReceiver const & 
) =delete

function getVersion

static std::string getVersion()

Get application version.

Return: a string with the current version, e.g. “1.0.0”

function getBuildInfo

static std::string getBuildInfo()

Get application build information.

Return: a string with the current build information such as git hashes of all direct dependencies

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.10 - ControlDataReceiver::IncomingRequest

ControlDataReceiver::IncomingRequest

An incoming request to this ControlDataReceiver.

#include <ControlDataReceiver.h>

Public Attributes

Public Attributes Documentation

variable mMessages

std::vector< std::vector< uint8_t > > mMessages;

variable mSenderUUID

std::string mSenderUUID;

The actual messages.

variable mRequesterUUID

std::string mRequesterUUID;

UUID of the sender/forwarder that sent the request to this ControlDataReceiver.

variable mRequestID

uint64_t mRequestID = 0;

UUID of the requester (the original sender, creating the request)

variable mSenderTimestampUs

int64_t mSenderTimestampUs =
            0;

The requester’s unique id of this request.

variable mDeliveryTimestampUs

int64_t mDeliveryTimestampUs =
            0;

The TAI timestamp when this message was sent from the sender/forwarder in micro sec since TAI epoch.

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.11 - ControlDataReceiver::ReceiverResponse

ControlDataReceiver::ReceiverResponse

A response message to a request.

#include <ControlDataReceiver.h>

Public Attributes

Public Attributes Documentation

variable mMessage

std::vector< uint8_t > mMessage;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.12 - ControlDataReceiver::Settings

ControlDataReceiver::Settings

Settings for a ControlDataReceiver.

#include <ControlDataReceiver.h>

Public Attributes

Public Attributes Documentation

variable mPreviewIncomingRequestCallback

std::function< void(const IncomingRequest &)> mPreviewIncomingRequestCallback;

Callback called as soon as this ControlDataReceiver gets the request, as a “preview” of what requests will be delievered.

variable mIncomingRequestCallback

std::function< ReceiverResponse(const IncomingRequest &)> mIncomingRequestCallback;

The actual callback used when this ControlDataReceiver gets a request and wants a response back. This callback will delay and deliver the request according to this receiver’s configured delay.

variable mConnectionStatusCallback

std::function< void(const ControlDataCommon::ConnectionStatus &)> mConnectionStatusCallback;

variable mResponseCallback

std::function< void(const ControlDataCommon::Response &)> mResponseCallback;

Callback for connection events.

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.13 - ControlDataSender

ControlDataSender

A ControlDataSender can send control signals to one or more receivers using a network connection. A single ControlDataSender can connect to multiple receivers, all identified by a UUID. The class is controlled using an ISystemControllerInterface; this interface is responsible for setting up connections to receivers. The ControlDataSender can send asynchronous requests to (all) the receivers and get a response back. Each response is identified with a request ID as well as the UUID of the responding receiver. The ControlDataSender can also receive status messages from the receivers.

#include <ControlDataSender.h>

Public Classes

Public Functions

Public Functions Documentation

function ControlDataSender

ControlDataSender()

Default constructor, creates an empty object.

function ~ControlDataSender

~ControlDataSender()

Destructor. Will disconnect from the connected receivers and close the System controller connection.

function configure

bool configure(
    const std::shared_ptr< ISystemControllerInterface > & controllerInterface,
    const Settings & settings
)

Configure this ControlDataSender and connect it to the System Controller. This method will fail in case the ISystemControllerInterface has already been connected to the controller by another component, as such interface can only be used by one component.

Parameters:

• controllerInterface The interface to the System controller, used for communicating with this ControlDataSender
• settings The Settings to use for this ControlDataSender

Return: True on success, false otherwise

function sendRequestToReceivers

bool sendRequestToReceivers(
    const std::vector< uint8_t > & request,
    uint64_t & requestId
)

Send a request to all the connected ControlDataReceivers asynchronously. The responses will be sent to the response callback.

Parameters:

• request The request message
• requestId The unique identifier of this request. Used to identify the async responses.

Return: True if the request was successfully sent, false otherwise

function sendMultiRequestToReceivers

bool sendMultiRequestToReceivers(
    const std::vector< std::vector< uint8_t >> & request,
    uint64_t & requestId
)

Send a multi-message request to all the connected ControlDataReceivers asynchronously. The responses will be sent to the response callback.

Parameters:

• request The request message
• requestId The unique identifier of this request. Used to identify the async responses.

Return: True if the request was successfully sent, false otherwise

function ControlDataSender

ControlDataSender(
    ControlDataSender const & 
) =delete

function operator=

ControlDataSender & operator=(
    ControlDataSender const & 
) =delete

function getVersion

static std::string getVersion()

Get application version.

Return: a string with the current version, e.g. “1.0.0”

function getGitRevision

static std::string getGitRevision()

Get git revision which application was built on.

Return: a string with the current git revision, e.g. “v2.1.0-231-gcd012ab”, followed by “-dirty” in case there are changes made to the Git repo.

function getBuildInfo

static std::string getBuildInfo()

Get application build information.

Return: a string with the current build information such as git hashes of all direct dependencies

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.14 - ControlDataSender::Settings

ControlDataSender::Settings

Settings for a ControlDataSender.

#include <ControlDataSender.h>

Public Attributes

Public Attributes Documentation

variable mConnectionStatusCallback

std::function< void(const ControlDataCommon::ConnectionStatus &)> mConnectionStatusCallback;

variable mResponseCallback

std::function< void(const ControlDataCommon::Response &)> mResponseCallback;

variable mStatusMessageCallback

std::function< void(const ControlDataCommon::StatusMessage &)> mStatusMessageCallback;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.15 - DeviceMemory

DeviceMemory

RAII class for a CUDA memory buffer.

#include <DeviceMemory.h>

Public Functions

Public Functions Documentation

function DeviceMemory

DeviceMemory() =default

Default constructor, creates an empty object, without allocating any memory on the device.

function DeviceMemory

explicit DeviceMemory(
    size_t numberOfBytes
)

Constructor allocating the required number of bytes.

Parameters:

• numberOfBytes Number of bytes to allocate

Exceptions:

• std::runtime_error In case the allocation failed

function DeviceMemory

explicit DeviceMemory(
    size_t numberOfBytes,
    cudaStream_t cudaStream
)

Constructor allocating the required number of bytes by making an async allocation. The allocation will be put in the given CUDA stream.

Parameters:

• size Number of bytes to allocate
• cudaStream The CUDA stream to put the async allocation in. A reference to this stream will also be saved internally to be used to asynchronously free them memory when the instance goes out of scope.

Exceptions:

• std::runtime_error In case the async allocation failed to be put in queue.

See: freeMemoryAsync method is not explicitly called, the memory will be freed synchronously when this DeviceMemory instance goes out of scope, meaning that the entire GPU is synchronized, which will impact performance negatively.

Note:

• The method will return as soon as the allocation is put in queue in the CUDA stream, i.e. before the actual allocation is made. Using this DeviceMemory is only valid as long as it is used in the same CUDA stream, or in case another stream is used, only if that stream is synchronized first with respect to cudaStream.
• In case the

function DeviceMemory

explicit DeviceMemory(
    void * deviceMemory
)

Constructor taking ownership of an already allocated CUDA memory pointer. This class will free the pointer once it goes out of scope.

Parameters:

• deviceMemory CUDA memory pointer to take ownership over.

function allocateMemory

bool allocateMemory(
    size_t numberOfBytes
)

Allocates device memory. The memory allocated will automatically be freed by the destructor.

Parameters:

• numberOfBytes Number of bytes to allocate

Return: True on success, false if there is already memory allocated by this instance, or if the CUDA malloc failed.

function allocateMemoryAsync

bool allocateMemoryAsync(
    size_t numberOfBytes,
    cudaStream_t cudaStream
)

Allocates device memory. The memory allocated will automatically be freed by the destructor.

Parameters:

• numberOfBytes Number of bytes to allocate
• cudaStream The CUDA stream to use for the allocation. A reference to this stream will also be saved internally to be used to asynchronously free them memory when the instance goes out of scope.

Return: True on success, false if there is already memory allocated by this instance, or if the CUDA malloc failed.

function reallocateMemory

bool reallocateMemory(
    size_t numberOfBytes
)

Reallocates device memory. Already existing memory allocation will be freed before the new allocation is made. In case this DeviceMemory has no earlier memory allocation, this method will just allocate new CUDA memory and return a success status.

Parameters:

• numberOfBytes Number of bytes to allocate in the new allocation

Return: True on success, false if CUDA free or CUDA malloc failed.

function reallocateMemoryAsync

bool reallocateMemoryAsync(
    size_t numberOfBytes,
    cudaStream_t cudaStream
)

Asynchronously reallocate device memory. Already existing memory allocation will be freed before the new allocation is made. In case this DeviceMemory has no earlier memory allocation, this method will just allocate new CUDA memory and return a success status.

Parameters:

• numberOfBytes Number of bytes to allocate in the new allocation
• cudaStream The CUDA stream to use for the allocation and freeing of memory. A reference to this stream will also be saved internally to be used to asynchronously free them memory when this instance goes out of scope.

Return: True on success, false if CUDA free or CUDA malloc failed.

function allocateAndResetMemory

bool allocateAndResetMemory(
    size_t numberOfBytes
)

Allocates device memory and resets all bytes to zeroes. The memory allocated will automatically be freed by the destructor.

Parameters:

• numberOfBytes Number of bytes to allocate

Return: True on success, false if there is already memory allocated by this instance, or if any of the CUDA operations failed.

function allocateAndResetMemoryAsync

bool allocateAndResetMemoryAsync(
    size_t numberOfBytes,
    cudaStream_t cudaStream
)

Allocates device memory and resets all bytes to zeroes. The memory allocated will automatically be freed by the destructor.

Parameters:

• numberOfBytes Number of bytes to allocate
• cudaStream The CUDA stream to use for the allocation and resetting. A reference to this stream will also be saved internally to be used to asynchronously free them memory when the instance goes out of scope.

Return: True on success, false if there is already memory allocated by this instance, or if any of the CUDA operations failed.

function freeMemory

bool freeMemory()

Free the device memory held by this class. Calling this when no memory is allocated is a no-op.

See: freeMemoryAsync instead.

Return: True in case the memory was successfully freed (or not allocated to begin with), false otherwise.

Note: This method will free the memory in an synchronous fashion, synchronizing the entire CUDA context and ignoring the internally saved CUDA stream reference in case one exist. For async freeing of the memory, use

function freeMemoryAsync

bool freeMemoryAsync(
    cudaStream_t cudaStream
)

Deallocate memory asynchronously, in a given CUDA stream. Calling this when no memory is allocated is a no-op.

Parameters:

• cudaStream The CUDA stream to free the memory asynchronously in

Return: True in case the memory deallocation request was successfully put in queue in the CUDA stream.

Note:

• The method will return as soon as the deallocation is put in queue in the CUDA stream, i.e. before the actual deallocation is made.
• It is the programmer’s responsibility to ensure this DeviceMemory is not used in another CUDA stream before this method is called. In case it is used in another CUDA stream, sufficient synchronization must be made before calling this method (and a very good reason given for not freeing the memory in that CUDA stream instead)

function setFreeingCudaStream

void setFreeingCudaStream(
    cudaStream_t cudaStream
)

Set which CUDA stream to use for freeing this DeviceMemory. In case the DeviceMemory already holds a CUDA stream to use for freeing the memory, this will be overwritten.

Parameters:

• cudaStream The new CUDA stream to use for freeing the memory when the destructor is called.

Note: It is the programmer’s responsibility to ensure this DeviceMemory is not used in another CUDA stream before this instance is destructed. In case it is used in another CUDA stream, sufficient synchronization must be made before setting this as the new CUDA stream to use when freeing the memory.

function ~DeviceMemory

~DeviceMemory()

Destructor, frees the internal CUDA memory.

function getDevicePointer

template <typename T  =uint8_t>
inline T * getDevicePointer() const

Template Parameters:

• T The pointer type to return

Return: the CUDA memory pointer handled by this class. Nullptr in case no memory is allocated.

function getSize

size_t getSize() const

Return: The size of the CUDA memory allocation held by this class.

function DeviceMemory

DeviceMemory(
    DeviceMemory && other
)

function operator=

DeviceMemory & operator=(
    DeviceMemory && other
)

function swap

void swap(
    DeviceMemory & other
)

function DeviceMemory

DeviceMemory(
    DeviceMemory const & 
) =delete

DeviceMemory is not copyable.

function operator=

DeviceMemory operator=(
    DeviceMemory const & 
) =delete

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.16 - IngestApplication

IngestApplication

Public Classes

Public Functions

Public Functions Documentation

function IngestApplication

IngestApplication()

Constructor, creates an empty IngestApplication without starting it.

function ~IngestApplication

~IngestApplication()

Destructor.

function start

bool start(
    const std::shared_ptr< ISystemControllerInterface > & controllerInterface,
    const Settings & settings
)

Start this IngestApplication given an interface to the System Controller and an UUID.

Parameters:

• controllerInterface The interface for communication with the System Controller
• settings The settings for the IngestApplication

Return: True if the IngestApplication was successfully started, false otherwise

function stop

bool stop()

Stop this IngestApplication.

Return: True if the IngestApplication was successfully stopped, false otherwise

function getVersion

static std::string getVersion()

Get application version.

Return: a string with the current version, e.g. “1.0.0”

function getGitRevision

static std::string getGitRevision()

Get git revision which application was built on.

Return: a string with the current git revision, e.g. “v1.0.0”, or “v2.1.0-231-gcd012ab”

function getBuildInfo

static std::string getBuildInfo()

Get application build information.

Return: a string with the current build information such as git hashes of all direct dependencies

function getLibraryVersions

static std::string getLibraryVersions()

Get the versions of the libraries available at runtime, among others, CUDA version, BMD and NDI versions.

Return: a string with the currently found versions of the libraries used by this application

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.17 - IngestApplication::Settings

IngestApplication::Settings

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.18 - ISystemControllerInterface

ISystemControllerInterface

An ISystemControllerInterface is the interface between a component and the System controller controlling the component. The interface allows for two-way communication between the component and the system controller by means of sending requests and getting responses. Classes deriving from the ISystemControllerInterface should provide the component side implementation of the communication with the system controller. This interface can be inherited and implemented by developers to connect to custom system controllers, or to directly control a component programmatically, without the need for connecting to a remote server. An ISystemControllerInterface can have a parent-child relationship with other interfaces, where the children are aware of which their parent interface is. This is useful for components that provides extra features for another component, but where the components are still to be considered as two separate entities with separate connections to the System controller.

#include <ISystemControllerInterface.h>

Inherited by SystemControllerConnection

Public Classes

Public Types

Public Functions

Public Types Documentation

enum StatusCode

Status codes used in JSON response messages for Websockets. These are starting at 3000 since the 1000 - 2000 range is taken up by the Spec: https://datatracker.ietf.org/doc/html/rfc6455#section-7.4.1.

Public Functions Documentation

function ~ISystemControllerInterface

virtual ~ISystemControllerInterface() =default

Virtual destructor.

function sendMessage

virtual std::optional< std::string > sendMessage(
    const std::string & messageTitle,
    const nlohmann::json & parameters
) =0

Send a message containing a JSON object to the controller.

Parameters:

• messageTitle The title of the status type or request
• parameters The parameters part of the JSON message

Return: Optional containing an error message on error, else nullopt in case the message was successfully sent

Reimplemented by: SystemControllerConnection::sendMessage

function registerRequestCallback

virtual bool registerRequestCallback(
    const Callbacks & callbacks
) =0

Register the callbacks to call for events in this class.

Parameters:

• callbacks The callbacks to use when events in this class happen

Return: True on successful registration, false if some callback is not set or if already connected

Reimplemented by: SystemControllerConnection::registerRequestCallback

function connect

virtual bool connect() =0

Connect to the System controller.

Return: True on successful connection, false on error or if already connected

Reimplemented by: SystemControllerConnection::connect

function disconnect

virtual bool disconnect() =0

Disconnect from the System controller.

Return: True on successful disconnection, false on error or if not connected

Reimplemented by: SystemControllerConnection::disconnect

function isConnected

virtual bool isConnected() const =0

Return: True if connected to the System controller, false otherwise

Reimplemented by: SystemControllerConnection::isConnected

function getUUID

virtual std::string getUUID() const =0

Return: The UUID of this interface to the System controller

Reimplemented by: SystemControllerConnection::getUUID

function hasParent

virtual bool hasParent() const =0

Return: True if this component has a parent ISystemControllerInterface, false otherwise

Reimplemented by: SystemControllerConnection::hasParent

function getParentInterface

virtual std::shared_ptr< ISystemControllerInterface > getParentInterface() const =0

Return: A pointer to parent’s ISystemControllerInterface, if any. Returns nullptr in case there is no parent

Reimplemented by: SystemControllerConnection::getParentInterface

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.19 - ISystemControllerInterface::Callbacks

ISystemControllerInterface::Callbacks

A struct containing the callbacks that needs to be registered by the component using this interface.

#include <ISystemControllerInterface.h>

Public Attributes

Public Attributes Documentation

variable mRequestCallback

std::function< Response(const std::string &, const nlohmann::json &)> mRequestCallback;

variable mConnectionClosedCallback

std::function< void(uint32_t, const std::string &, const std::error_code &)> mConnectionClosedCallback;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.20 - ISystemControllerInterface::Response

ISystemControllerInterface::Response

A response to a request, consists of a status code and an (optional) parameters JSON object.

#include <ISystemControllerInterface.h>

Public Attributes

Public Attributes Documentation

variable mCode

StatusCode mCode;

variable mParameters

nlohmann::json mParameters;

Updated on 2024-01-25 at 12:02:05 +0100

1.6.1.3.1.21 - MediaReceiver

MediaReceiver

A MediaReceiver contains the logic for receiving, decoding and aligning incoming media sources from the Ingests. The aligned data is then delivered to the Rendering Engine which is also responsible for setting up the MediaReceiver. The MediaReceiver has a builtin multi view generator, which can create output streams containing composited subsets of the incoming video sources. This class is controlled using an ISystemControllerInterface provided when starting it.

#include <MediaReceiver.h>

Public Classes

Public Types

Public Functions