Datarhei - Dragon Fork: fork of datarhei/core with native WebRTC (WHEP) egress for low-latency streaming. Built with Pion.
Zac Gaetano
927ccc6ced
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Three artifacts that close out the easier half of the M4 milestone:
1. .forgejo/workflows/test.yml — CI on every push and PR. Three jobs:
- lint-and-vet: go vet + go build (~30s)
- test: go test -race -short ./... + a no-race coverage
pass that uploads coverage.out as an artifact
- webrtc-smoke: TestIntegration_FiveViewerFanout and the rest of
the WebRTC subsystem tests in isolation, so a
failure on the egress path stays readable in the
log.
Pinned to Go 1.24 to match go.mod. The forge has a
forgejo-runner sibling container; this YAML uses GitHub Actions
syntax which Forgejo Actions accepts unchanged.
2. test/whep-player.html — self-contained browser WHEP subscriber for
manual smoke testing. RTCPeerConnection (recvonly V+A) + fetch()
POST/DELETE/PATCH against /api/v3/whep/:id, ICE/PC state pills,
inbound-bitrate sampling at 1 Hz, codec hint pulled from the answer
SDP, JWT token field, ?url=&token= shareable query string. No
external deps; works from file:// or any static host.
3. test/TESTING.md — short doc that ties together the in-process race
tests, the browser player, and the existing Pion CLI helper at
test/whep-client/. Notes the latency p95 gate as a follow-up.
Latency gate (FFmpeg drawtext frame counter + decode-side pixel
sampling, p95 < 300ms RTMP / < 200ms SRT) is queued for a separate
PR — it's a several-hundred-line addition in its own right and
shouldn't block CI from landing.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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|---|---|---|
| .forgejo/workflows | ||
| .github | ||
| app | ||
| cmd/webrtc-poc | ||
| config | ||
| core/webrtc | ||
| deploy | ||
| docs | ||
| encoding/json | ||
| ffmpeg | ||
| glob | ||
| http | ||
| internal | ||
| io | ||
| log | ||
| math/rand | ||
| monitor | ||
| net | ||
| playout | ||
| process | ||
| prometheus | ||
| psutil | ||
| restream | ||
| rtmp | ||
| service | ||
| session | ||
| srt | ||
| test | ||
| update | ||
| vendor | ||
| .dockerignore | ||
| .editorconfig | ||
| .gitignore | ||
| build.sh | ||
| CHANGELOG.md | ||
| Dockerfile | ||
| Dockerfile.bundle | ||
| Dockerfile.test | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| main.go | ||
| Makefile | ||
| mime.types | ||
| NOTES.md | ||
| README.md | ||
| run.sh | ||
| SECURITY.md | ||
Core
The datarhei Core is a process management solution for FFmpeg that offers a range of interfaces for media content, including HTTP, RTMP, SRT, and storage options. It is optimized for use in virtual environments such as Docker. It has been implemented in various contexts, from small-scale applications like Restreamer to large-scale, multi-instance frameworks spanning multiple locations, such as dedicated servers, cloud instances, and single-board computers. The datarhei Core stands out from traditional media servers by emphasizing FFmpeg and its capabilities rather than focusing on media conversion.
Objectives of development
The objectives of development are:
- Unhindered use of FFmpeg processes
- Portability of FFmpeg, including management across development and production environments
- Scalability of FFmpeg-based applications through the ability to offload processes to additional instances
- Streamlining of media product development by focusing on features and design.
What issues have been resolved thus far?
Process management
- Run multiple processes via API
- Unrestricted FFmpeg commands in process configuration.
- Error detection and recovery (e.g., FFmpeg stalls, dumps)
- Referencing for process chaining (pipelines)
- Placeholders for storage, RTMP, and SRT usage (automatic credentials management and URL resolution)
- Logs (access to current stdout/stderr)
- Log history (configurable log history, e.g., for error analysis)
- Resource limitation (max. CPU and MEMORY usage per process)
- Statistics (like FFmpeg progress per input and output, CPU and MEMORY, state, uptime)
- Input verification (like FFprobe)
- Metadata (option to store additional information like a title)
Media delivery
- Configurable file systems (in-memory, disk-mount, S3)
- HTTP/S, RTMP/S, and SRT services, including Let's Encrypt
- Bandwidth and session limiting for HLS/MPEG DASH sessions (protects restreams from congestion)
- Viewer session API and logging
Misc
- HTTP REST and GraphQL API
- Swagger documentation
- Metrics incl. Prometheus support (also detects POSIX and cgroups resources)
- Docker images for fast setup of development environments up to the integration of cloud resources
Docker images
- datarhei/core:latest (AMD64, ARM64, ARMv7)
- datarhei/core:cuda-latest (Nvidia CUDA 11.7.1, AMD64)
- datarhei/core:rpi-latest (Raspberry Pi / OMX/V4L2-M2M, AMD64/ARMv7)
- datarhei/core:vaapi-latest (Intel VAAPI, AMD64)
Quick start
- Run the Docker image
docker run --name core -d \
-e CORE_API_AUTH_USERNAME=admin \
-e CORE_API_AUTH_PASSWORD=secret \
-p 8080:8080 \
-v ${HOME}/core/config:/core/config \
-v ${HOME}/core/data:/core/data \
datarhei/core:latest
-
Open Swagger http://host-ip:8080/api/swagger/index.html
-
Log in with Swagger Authorize > Basic authorization > Username: admin, Password: secret
Documentation
Documentation is available on docs.datarhei.com/core.
License
datarhei/core is licensed under the Apache License 2.0