Skip to main content

Python client for the Stegawave media pipeline API

Project description

Stegawave Python Client

stegawave is an unofficial Python SDK for the Stegawave forensic watermarking platform. It wraps the public REST API and helps you validate /create-pipeline payloads, manage pipeline lifecycle, and trigger watermark decode jobs without hand-writing HTTP calls.

Installation

pip install stegawave

Quick start

from stegawave import StegawaveClient, models

client = StegawaveClient(api_key="your-api-key")

create_request = models.CreatePipelineRequest(
    name="launch-stream",
    description="Product launch livestream",
    segmentDuration=4,
    input=models.InputConfig(
        Type="SRT_LISTENER",
        whitelist=["0.0.0.0/0"],
        SrtListenerSettings=models.SrtListenerSettings(
            IngestPort=5000,
            MinLatency=2000,
            PassphraseEnabled=True,
            # Passphrase will be auto-generated if not provided
        ),
    ),
    encoder=models.EncoderConfig(
        vodArchive=False,
        Outputs=[
            models.OutputConfig(
                OutputName="cmaf-1080p",
                resolution="1920x1080",
                FramerateNumerator=30,
                FramerateDenominator=1,
                VideoBitrate=7_500_000,
                AudioBitrate=128_000,
            )
        ],
    ),
    packager=models.PackagerConfig(
        originEndpoints=[
            models.OriginEndpoint(
                name="cmaf-hybrid",
                ContainerType="CMAF",
                HlsManifests=[models.HlsManifest(ManifestName="index")],
            )
        ]
    ),
)

session = client.create_pipeline_session(create_request, wait=True)
print(session.event_id)

# Access input endpoints and passphrase
status = session.status
if status.input.endpoints:
    print("Input endpoints:", status.input.endpoints)
if status.input.passphraseEnabled:
    print("Passphrase:", status.input.passphrase)

print("Manifests:")
for url in session.signed_manifest_uris("john_doe"):
    print("  ", url)

Input types

The SDK supports the following input types:

  • SRT_LISTENER - SRT listener endpoint (recommended for most use cases)
  • SRT_CALLER - SRT caller that connects to remote endpoints
  • RTP - RTP/UDP input
  • RTP_FEC - RTP with Forward Error Correction
  • RIST - Reliable Internet Stream Transport
  • ZIXI_PUSH - Zixi push input

Note: RTMP and file-based inputs (HLS, MP4, TS) have been deprecated in favor of the above streaming protocols.

SRT Listener (Recommended)

The SRT_LISTENER input type creates an SRT listener endpoint where you can push your stream. This is the most common input type.

Requirements:

  • SrtListenerSettings with IngestPort
  • Exactly one CIDR in whitelist array
  • Optional passphrase encryption

Example:

models.InputConfig(
    Type="SRT_LISTENER",
    whitelist=["0.0.0.0/0"],
    SrtListenerSettings=models.SrtListenerSettings(
        IngestPort=5000,
        MinLatency=2000,
        MaxLatency=10000,
        PassphraseEnabled=True,
        Passphrase="my-32-character-passphrase!!!!"  # Optional - auto-generated if omitted
    )
)

After creation, retrieve the generated passphrase from the pipeline status:

status = client.get_pipeline(event_id)
if status.input.passphraseEnabled:
    print(f"Generated passphrase: {status.input.passphrase}")

SRT Caller

The SRT_CALLER input type enables MediaLive to initiate outbound SRT connections to remote SRT listener endpoints. This is useful for connecting to external encoders or CDN origins that expose SRT listener ports.

Requirements:

  • Provide 1 or 2 SrtCallerSources (for redundancy)
  • Each source requires SrtListenerAddress (IP or hostname) and SrtListenerPort
  • MediaLive channel class is automatically selected: 1 source → SINGLE_PIPELINE, 2 sources → STANDARD

Example with single source:

models.InputConfig(
    Type="SRT_CALLER",
    SrtCallerSources=[
        models.SrtCallerSource(
            SrtListenerAddress="encoder.example.com",
            SrtListenerPort=9000,
            StreamId="primary-feed"  # Optional
        )
    ]
)

Example with redundant sources:

models.InputConfig(
    Type="SRT_CALLER",
    SrtCallerSources=[
        models.SrtCallerSource(
            SrtListenerAddress="encoder1.example.com",
            SrtListenerPort=9000,
            SrtCallerDecryption=models.SrtCallerDecryption(
                Algorithm="AES256",
                Passphrase="16-char-minimum!"
            )
        ),
        models.SrtCallerSource(
            SrtListenerAddress="encoder2.example.com",
            SrtListenerPort=9000,
            SrtCallerDecryption=models.SrtCallerDecryption(
                Algorithm="AES256",
                Passphrase="16-char-minimum!"
            )
        )
    ]
)

Notes:

  • No whitelist needed (MediaLive initiates outbound connections)
  • Optional StreamId for stream routing at the remote endpoint
  • Optional SrtCallerDecryption for encrypted streams
  • Passphrase must match the remote listener's encryption passphrase (16-64 characters)

RTP, RIST, and ZIXI

For other professional streaming protocols:

# RTP input
models.InputConfig(Type="RTP")

# RTP with FEC
models.InputConfig(Type="RTP_FEC")

# RIST input
models.InputConfig(Type="RIST")

# Zixi push
models.InputConfig(Type="ZIXI_PUSH")

Refer to the API documentation for protocol-specific configuration options.

DRM Configuration

Protect your content with SPEKE 2.0 encryption. Add the drm field to any OriginEndpoint to enable segment encryption.

Supported encryption methods:

  • CMAF: CENC (Widevine, PlayReady, Irdeto) or CBCS (Widevine, PlayReady, FairPlay)
  • TS: SAMPLE_AES (FairPlay) or AES_128 (Clear Key)

Example with Widevine and PlayReady:

models.OriginEndpoint(
    name="cmaf-drm",
    ContainerType="CMAF",
    HlsManifests=[models.HlsManifest(ManifestName="index")],
    DashManifests=[models.DashManifest(ManifestName="index")],
    drm=models.DrmConfig(
        encryptionMethod="CENC",
        drmSystems=["WIDEVINE", "PLAYREADY"],
        resourceId="asset-12345",
        keyServer=models.DrmKeyServerConfig(
            url="https://kms.example.com/v2/cpix/getKey",
            headers={
                "Authorization": "Bearer your-token"
            },
            query={
                "site-id": "12345"
            }
        ),
        keyRotationIntervalSeconds=300  # Optional: rotate keys every 5 minutes
    )
)

Example with FairPlay:

models.OriginEndpoint(
    name="hls-fairplay",
    ContainerType="TS",
    HlsManifests=[models.HlsManifest(ManifestName="index")],
    drm=models.DrmConfig(
        encryptionMethod="SAMPLE_AES",
        drmSystems=["FAIRPLAY"],
        resourceId="asset-67890",
        keyServer=models.DrmKeyServerConfig(
            url="https://fairplay.example.com/key-server"
        )
    )
)

Features

  • Strongly-typed request and response models for /create-pipeline, /get-pipeline, /pipeline-state, /delete, /token, /decode, /iptv
  • High-level PipelineSession workflow helper to provision, poll, and sign manifests in a few lines
  • Support for modern streaming protocols: SRT, RTP, RIST, ZIXI
  • Automatic passphrase generation for SRT listener inputs
  • Convenience helpers for ABR ladders and asynchronous provisioning workflows
  • Configurable retries, timeouts, and polling intervals
  • First-class error types for authentication, validation, rate limiting, and server-side failures

API Endpoints

The client provides methods for all major API endpoints:

  • create_pipeline(request) - Create a new pipeline (POST /create-pipeline)
  • get_pipeline(event_id) - Get pipeline details (GET /get-pipeline?eventID=...)
  • list_pipelines() - List all pipelines (GET /get-pipeline)
  • get_state(event_id) - Get pipeline state (POST /pipeline-state with action=status)
  • start_pipeline(event_id) - Start a pipeline (POST /pipeline-state with action=start)
  • stop_pipeline(event_id) - Stop a pipeline (POST /pipeline-state with action=stop)
  • delete_pipeline(event_id) - Delete a pipeline (DELETE /delete?eventID=...)
  • schedule_action(event_id, action, scheduled_time) - Schedule start/stop/delete at specific time (POST /schedule-actions)
  • cancel_scheduled_action(event_id, action_id) - Cancel a scheduled action (POST /cancel-scheduled-action)
  • reset_history(event_id) - Reset channel history/DVR window (GET /reset-history?eventID=...)
  • fetch_token(user_key, exp_hours) - Generate CDN tokens (POST /token)
  • decode_stream(event_id, stream_url) - Trigger watermark decode job (POST /decode)
  • query_iptv(...) - Search IPTV streams (POST /iptv)
  • get_vod_archive(event_id, expires_in) - Get VOD archive files with presigned URLs (GET /get-vod-archive)

Schedule Pipeline Actions

Schedule start, stop, or delete actions to execute at a specific time using EventBridge rules.

# Schedule a stop action for 11 PM UTC
response = client.schedule_action(
    event_id="abc123",
    action="stop",
    scheduled_time="2025-12-20T23:00:00Z"
)
print(f"Scheduled with action ID: {response.actionID}")

# Cancel the scheduled action before it executes
cancel_response = client.cancel_scheduled_action(
    event_id="abc123",
    action_id=response.actionID
)
print(f"Cancelled {cancel_response.action} scheduled for {cancel_response.scheduledTime}")

# View scheduled actions in pipeline details
pipeline = client.get_pipeline("abc123")
for action in pipeline.schedule:
    print(f"{action['action']} scheduled for {action['scheduledTime']}")

Reset Channel History

Clear the DVR/startover window for a pipeline while preserving its configuration. The pipeline must be stopped before resetting history.

# Stop the pipeline first
client.stop_pipeline(event_id)

# Wait a moment for stop to complete
import time
time.sleep(5)

# Reset the history
response = client.reset_history(event_id)
print(response.message)  # "Channel history reset initiated for evt-123"

# Restart the pipeline if needed
client.start_pipeline(event_id)

Note: The reset operation returns 202 Accepted and processes asynchronously. It typically completes within a few seconds.

Watermark Detection Results

When watermarks are detected in a pipeline stream, the results are available via the detected_users field:

status = client.get_pipeline(event_id)

if status.detected_users:
    print(f"Found {len(status.detected_users)} detected watermarks:")
    for detection in status.detected_users:
        # Each detection is a DetectedUser object with:
        # - user: Human-readable user identifier
        # - user_key: Unique watermark key
        # - similarity: Confidence score (0-1)
        # - detected_at: ISO timestamp of detection
        print(f"  User: {detection.user}")
        print(f"  Key: {detection.user_key}")
        print(f"  Similarity: {detection.similarity}")
        print(f"  Detected at: {detection.detected_at}")

Migration from 0.1.x

If upgrading from version 0.1.x, please note these breaking changes:

Removed endpoints:

  • get_passphrase() and rotate_passphrase() - Passphrase management is now integrated into pipeline creation via SrtListenerSettings

Removed input types:

  • RTMP_PUSH, RTMP_PULL - Use SRT_LISTENER instead
  • HLS, MP4_FILE, TS_FILE - Use streaming protocols (SRT, RTP, RIST, ZIXI)

Response format changes:

  • Input endpoints are now an array: status.input.endpoints (was status.input.endpoint)
  • CDN endpoints include protocol info: CdnEndpoint objects with protocol and url fields
  • Manifests include type info: ManifestInfo objects with type and name fields

See CHANGELOG.md for complete migration guide.

See CHANGELOG.md for complete migration guide.

Configuration

Set your base URL or API key explicitly, or rely on environment variables.

client = StegawaveClient()
Environment variable Description
STEGAWAVE_API_KEY API key provided by Stegawave
STEGAWAVE_API_BASE_URL Override the default https://api.stegawave.com

The SDK automatically injects your API key, validates payload structure using Pydantic models, and surfaces HTTP issues as rich exceptions.

Status

This client is v0.2.0 targeting the November 2025 API schema. Version 0.2.0 introduces breaking changes - see migration guide above. Contributions and issue reports are welcome.

Development

pip install -e .[dev]
pytest

Refer to CHANGELOG.md for planned enhancements and release history.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stegawave-0.2.13.tar.gz (19.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

stegawave-0.2.13-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file stegawave-0.2.13.tar.gz.

File metadata

  • Download URL: stegawave-0.2.13.tar.gz
  • Upload date:
  • Size: 19.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for stegawave-0.2.13.tar.gz
Algorithm Hash digest
SHA256 c2cd7d70910de1eafa3f3d728a0b89265c2a7aa00fa9c97b18c81d629c1ced21
MD5 a93f70f66d9b612454290a35c28bee20
BLAKE2b-256 dae344efe08dfbcc950482de80c5c4e9d177209672feb88b3c87443007fcb3a9

See more details on using hashes here.

File details

Details for the file stegawave-0.2.13-py3-none-any.whl.

File metadata

  • Download URL: stegawave-0.2.13-py3-none-any.whl
  • Upload date:
  • Size: 20.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for stegawave-0.2.13-py3-none-any.whl
Algorithm Hash digest
SHA256 0e963c2fba747744c530ba914efced6cf26ac999db4fa6bea5b685864a4fe4c9
MD5 35aee8f5df05a98097d4e603f0c8df59
BLAKE2b-256 ea926cd92d553ae87fd2dcb0e10257cbfdb86614b136a9877281254518d2c6a4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page