diff --git a/.gitignore b/.gitignore index 540f0e2..e95e11a 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,9 @@ lp_rpc.proto # environment file env + +# IDE +.vscode/ +*.code-workspace +.idea/ +.codex diff --git a/docs/runner-sdk.md b/docs/runner-sdk.md new file mode 100644 index 0000000..214d00c --- /dev/null +++ b/docs/runner-sdk.md @@ -0,0 +1,279 @@ +# Runner SDK + +> Status: **draft**. Interface not yet locked. Examples still landing — +> see [Coverage](#coverage) and [Not yet implemented](#not-yet-implemented). +> +> Source: [`src/livepeer_gateway/runner/`](../src/livepeer_gateway/runner/). +> Tracking PR: [livepeer/livepeer-python-gateway#7][pr7]. + +## Where this fits + +This is the **deploy half** of the Livepeer Python SDK — "I run +pipelines on the network." The other half is the **client / gateway +side** — "I send requests to the network" — tracked in epic +[#9][issue9]. Both will ship from one monorepo using PEP 420 namespace +packages: shared `livepeer` import root, separate distributions +(`livepeer-runner`, `livepeer-client`, `livepeer-trickle`) installed +independently. Today the code lives under `livepeer_gateway.runner` +pending the restructure (tracked as C12 in [#8][issue8]). +Full architecture: [pipeline-sdk spec][spec]. + +## What the SDK provides + +A runner author writes one Python class, calls `serve(pipeline)`, gets a +FastAPI app the orchestrator can hit. Two base classes cover the two +transport modes: + +| Base class | Transport | Hook surface | +| ----------------------------------------------------------------- | ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------- | +| [`Pipeline`](../src/livepeer_gateway/runner/pipeline.py) | `POST /predict` — request/response, or SSE when `predict()` yields | `setup()`, `predict(**kwargs)` | +| [`LivePipeline`](../src/livepeer_gateway/runner/live_pipeline.py) | trickle (BYOC live) over `POST /stream/{start,stop,params}` | `setup()`, `on_stream_start`, `process_video`, `process_audio`, `on_params_update`, `on_stream_stop`, plus `emit_event` / `emit_data` | + +`make_app(pipeline)` dispatches on the base class. Health is `GET /health` +on both. + +## `Pipeline` — batch + +```python +class Sentiment(Pipeline): + def setup(self) -> None: + self.model = load_model() + + def predict(self, text: str) -> dict: + return {"label": self.model(text)} +``` + +- `predict` signature is introspected. A single `BaseModel` parameter is + used directly; bare params get wrapped in a generated model. +- Generator `predict` is auto-detected → response framed as SSE. +- Return type annotation, if `BaseModel`, becomes the OpenAPI response. + +Examples: [`hello_world`](../examples/runner/hello_world/), +[`sentiment`](../examples/runner/sentiment/), +[`image_upscale`](../examples/runner/image_upscale/), +[`llm`](../examples/runner/llm/) (SSE). + +## `LivePipeline` — trickle + +Minimal — video transform only: + +```python +class Grayscale(LivePipeline): + async def process_video(self, frame: VideoFrame) -> VideoFrame | None: + return frame.to_grayscale() +``` + +Audio in, structured data out — uses per-session state and the side +channels: + +```python +class LiveTranscribe(LivePipeline): + def setup(self) -> None: + self._model = WhisperModel("tiny.en") # loaded once at container start + + async def on_stream_start(self, params: dict) -> None: + self._buffer = np.empty(0, dtype=np.float32) # fresh per session + await self.emit_event({"type": "ready", "model": "whisper-tiny.en"}) + + async def process_audio(self, frame: AudioFrame) -> AudioFrame: + self._buffer = np.concatenate([self._buffer, _to_pcm(frame)]) + if self._buffer.size >= WINDOW_SAMPLES: + for seg in self._model.transcribe(self._buffer[:WINDOW_SAMPLES]): + await self.emit_data({"type": "transcript", "text": seg.text}) + self._buffer = self._buffer[WINDOW_SAMPLES:] + return frame # passthrough — caller still gets the audio track + + async def on_stream_stop(self) -> None: + await self.emit_event({"type": "stopped"}) +``` + +Lifecycle, in call order per session: + +1. `setup()` — once, before the server binds (sync). +2. `on_stream_start(params)` — per-session init, before the first frame. +3. `process_video(frame)` / `process_audio(frame)` — per-frame transform. + Return `None` to drop. +4. `on_params_update(params)` — caller posted new params mid-stream. +5. `on_stream_stop()` — per-session cleanup. `emit_data` / `emit_event` + still work here. + +Side channels, callable from any hook during a session: + +- `emit_event({...})` — JSON on the events trickle channel (lifecycle, + telemetry). +- `emit_data({...})` — JSON on the data trickle channel (transcripts, + detections, classifications). No-op if the orchestrator didn't + enable a data channel. + +### Heartbeat + +The SDK auto-publishes a `{"type": "heartbeat", "timestamp": ...}` event +on the events channel every 10 seconds while a session is active. This +exists to satisfy the gateway's 30s events-gap watchdog +(`byoc/trickle.go: maxEventGap`) — without it, the gateway tears down +sessions whose pipelines aren't emitting their own events. User +`emit_event` calls also reset the watchdog, so a pipeline that emits +its own telemetry doesn't strictly need the heartbeat — but it's always +on. The task is started before the frame loop (so `events_url` shows +activity during cold start) and cancelled on `/stream/stop`. + +The payload is intentionally minimal today; FPS / throughput fields are +in [Not yet implemented](#not-yet-implemented). + +### Track allocation by introspection + +A track is allocated **iff** its `process_*` hook is overridden — except +a stock `LivePipeline` (no overrides) which allocates both as a +passthrough relay. See +[`_emit_flags`](../src/livepeer_gateway/runner/live_pipeline.py). + +Concretely: + +| Override | Video out | Audio out | +| --------------------- | --------- | --------- | +| neither (passthrough) | yes | yes | +| `process_video` only | yes | no | +| `process_audio` only | no | yes | +| both | yes | yes | + +Examples: [`live_grayscale`](../examples/runner/live_grayscale/) (video +only), [`live_depth`](../examples/runner/live_depth/) (video only, GPU +model), [`live_transcribe`](../examples/runner/live_transcribe/) (audio +in → data out). + +## Coverage + +| Mode | Example | Status | +| --------------------- | ------------------------------------- | ------ | +| Batch sync | hello_world, sentiment, image_upscale | ✅ | +| Batch streaming (SSE) | llm | ✅ | +| Live video → video | live_grayscale, live_depth | ✅ | +| Live audio → data | live_transcribe | ⏳ | +| Live audio → audio | _planned: pitch-shift_ | ⏳ | +| Live video + audio | _planned: combined_ | ⏳ | + +> [!NOTE] +> `live_transcribe` is feature-complete on the runner side but is marked +> ⏳ pending two known transport bugs that drop records before they reach +> the SSE caller — one SDK-side ([#12][issue12]: first segment of every +> trickle channel duplicate-writes seg 0, one-line fix), one upstream +> ([go-livepeer#3924][go3924]: gateway tears down the data SSE proxy +> before the runner's final `emit_data` is relayed). Combined effect: +> 5 transcripts emitted → 3 delivered. Promote to ✅ once both land. + +## Open questions + +Design points still open before the surface is declared stable. + +1. **`emit_data` / `emit_event` outside an active session.** Today: + silent no-op. Alternative: raise. Silent matches "the orchestrator + didn't enable this channel" but masks programming errors. +2. **Single-session constraint.** `LivePipeline._session` is one slot; + `/stream/start` returns 409 if busy. Multi-session is deferred to + post-C8 (demand-driven). Documenting the constraint as a contract + means callers won't lean on it being temporary. + +## Not yet implemented + +Items that are decided in principle but not in the SDK yet. Tracked in +[the SDK epic][issue8]. + +### `livepeer.yaml` + `livepeer push` + +The biggest pending piece. Today every example ships a hand-written +Dockerfile, `register_capability.py`, and `docker-compose.yml`. A +manifest + CLI collapses that to a one-file declaration: + +Before — `examples/runner/sentiment/`: + +```text +Dockerfile ← hand-written +docker-compose.yml ← hand-written +register_capability.py ← boilerplate +requirements.txt +prepare_models.py +pipeline.py +README.md +test.sh +``` + +After: + +```text +livepeer.yaml ← single source of truth +prepare_models.py +pipeline.py +README.md +``` + +Sample manifest (shape illustrative, not final): + +```yaml +pipeline_id: sentiment +pipeline: pipeline:Sentiment # module:class + +python: + version: "3.11" + packages: + - transformers==4.40.0 + - torch==2.3.0 + +system: + packages: + - ffmpeg + +build: + prepare: prepare_models.py # runs at image build, caches weights + +gpu: false # or "T4", "L4", etc. +``` + +`livepeer push` parses the manifest, generates the Dockerfile, builds the +image, embeds the schema as an image label, and registers the capability +on the network. Builders never write Dockerfiles or call the +registration RPC. + +The manifest is the recommended path, not the only one. Builders who want +full control over the container — custom base images, multi-stage builds, +non-trivial system setup — can still write their own Dockerfile, call +`serve(pipeline)` from any entrypoint, and register the capability +manually. `livepeer push` is sugar; the underlying contract (HTTP +endpoints + image labels) is what the orchestrator cares about. + +### Other pending items + +- **Schema generation (`/openapi.json`) + discovery doc (`GET /`).** + Phases C3 / C4 / C5 in the staircase. +- **Health state machine** on `/health` (`LOADING → OK | ERROR | IDLE`). + Currently `setup()` blocks the bind, examples use a docker + healthcheck workaround. +- **Structured error events.** `emit_event` is freeform JSON today. + We want a typed `error` event shape so the orchestrator and caller + can react uniformly to runner-side failures (model OOM, GPU lost, + per-frame error budget exceeded). +- **FPS / throughput in heartbeats.** Today's heartbeat is + `{type, timestamp}` only. Adding observed input fps + processed-frame + fps lets the orchestrator detect a slow pipeline before the + events-gap watchdog fires. +- **Inbound JSON streaming.** `/stream/params` is one-shot today. Pipelines + that need a continuous JSON stream from the caller (live prompts, + streaming text, high-frequency control beyond a single param dict) + have nothing — likely an `on_control(payload)` hook exposing the + `control_url` stream directly. Tracked: [#8][issue8]. +- **Lock down `_session` access.** The user-facing `emit_event` / + `emit_data` methods reach into `pipeline._session` directly, leaking + the private attribute as an accidental subclass contract. Replace + with a private accessor or move the methods to operate on session + state passed in. Tracked: [#8][issue8]. +- **Multi-session per pipeline.** Capacity demand-driven; post-C8. + +Tracking PR: [livepeer/livepeer-python-gateway#7][pr7]. Upstream +go-livepeer work and the broader SDK roadmap are tracked in the +[SDK epic][issue8]. + +[pr7]: https://github.com/livepeer/livepeer-python-gateway/pull/7 +[issue8]: https://github.com/livepeer/livepeer-python-gateway/issues/8 +[issue9]: https://github.com/livepeer/livepeer-python-gateway/issues/9 +[issue12]: https://github.com/livepeer/livepeer-python-gateway/issues/12 +[go3924]: https://github.com/livepeer/go-livepeer/issues/3924 +[spec]: https://github.com/rickstaa/livepeer-specs/blob/main/docs/developer-journey/pipeline-sdk.md diff --git a/examples/runner/hello_world/Dockerfile b/examples/runner/hello_world/Dockerfile new file mode 100644 index 0000000..c5803b8 --- /dev/null +++ b/examples/runner/hello_world/Dockerfile @@ -0,0 +1,15 @@ +FROM python:3.11-slim + +WORKDIR /app + +# Install the package from source — pulls aiohttp, grpcio, protobuf, av per +# pyproject.toml. Build context is the repo root. +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +COPY examples/runner/hello_world/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/hello_world/README.md b/examples/runner/hello_world/README.md new file mode 100644 index 0000000..b7caa17 --- /dev/null +++ b/examples/runner/hello_world/README.md @@ -0,0 +1,51 @@ +# Hello world (BYOC) + +Smallest end-to-end test of the Pipeline SDK against a real +[go-livepeer](https://github.com/livepeer/go-livepeer) BYOC stack. A `Pipeline` +subclass returns `{"message": "hello, X"}` over HTTP. Registered as a BYOC +capability, called through the gateway, response flows back end-to-end. + +## Run + +```bash +docker compose up -d +./test.sh +docker compose down +``` + +`test.sh` prints `PASS` on success. + +## Browse the API + +- Swagger UI: +- ReDoc: +- OpenAPI JSON: + +## What's running + +```mermaid +sequenceDiagram + autonumber + participant curl + participant gateway + participant orchestrator + participant hello_world as hello_world
(SDK container) + + curl->>gateway: POST /process/request/predict + gateway->>orchestrator: forward (Livepeer-signed) + orchestrator->>hello_world: POST /predict {"name":"..."} + hello_world-->>orchestrator: {"message":"hello, ..."} + orchestrator-->>gateway: response + gateway-->>curl: response +``` + +Four compose services: + +| Service | What it is | +| --- | --- | +| `gateway`, `orchestrator` | `livepeer/go-livepeer:master` from Docker Hub | +| `hello_world` | The pipeline container — a [BYOC](https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md) capability built with `livepeer_gateway.runner`. Attached via HTTP register, not the `-aiWorker` mechanism. | +| `register_capability` | One-shot helper that POSTs to `orchestrator:8935/capability/register` | + +First `docker compose up` pulls `livepeer/go-livepeer:master` (~few hundred MB, +cached after) and builds the `hello_world` image locally. diff --git a/examples/runner/hello_world/docker-compose.yml b/examples/runner/hello_world/docker-compose.yml new file mode 100644 index 0000000..6b6e3d7 --- /dev/null +++ b/examples/runner/hello_world/docker-compose.yml @@ -0,0 +1,67 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + ports: + - "9935:9935" + depends_on: + - orchestrator + + hello_world: + build: + context: ../../.. + dockerfile: examples/runner/hello_world/Dockerfile + container_name: hello_world + ports: + - "5000:5000" + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: hello-world + CAPABILITY_URL: http://hello_world:5000 + depends_on: + - hello_world + - orchestrator + +networks: + default: + name: livepeer diff --git a/examples/runner/hello_world/pipeline.py b/examples/runner/hello_world/pipeline.py new file mode 100644 index 0000000..49c44b6 --- /dev/null +++ b/examples/runner/hello_world/pipeline.py @@ -0,0 +1,12 @@ +"""Hello-world BYOC pipeline. Run via ``docker compose up``.""" + +from livepeer_gateway.runner import Pipeline, serve + + +class HelloWorld(Pipeline): + def predict(self, name: str = "world") -> dict: + return {"message": f"hello, {name}"} + + +if __name__ == "__main__": + serve(HelloWorld()) diff --git a/examples/runner/hello_world/register_capability.py b/examples/runner/hello_world/register_capability.py new file mode 100644 index 0000000..9e92bf6 --- /dev/null +++ b/examples/runner/hello_world/register_capability.py @@ -0,0 +1,52 @@ +"""Register the hello-world capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "hello-world") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://hello_world:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/hello_world/test.sh b/examples/runner/hello_world/test.sh new file mode 100755 index 0000000..5f24b13 --- /dev/null +++ b/examples/runner/hello_world/test.sh @@ -0,0 +1,38 @@ +#!/usr/bin/env bash +# E2E: send a request through the gateway, assert the response from the +# hello_world container comes back through the orchestrator. + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +NAME="${NAME:-livepeer}" +EXPECTED_MSG="hello, ${NAME}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered hello-world"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# TODO: swap curl for a livepeer_gateway batch caller (post PR #6) — drops +# the gateway service from compose. +LIVEPEER_HDR=$(printf '%s' '{"request":"{}","parameters":"{}","capability":"hello-world","timeout_seconds":30}' | base64 -w0) + +echo "Sending request through gateway..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/request/predict" \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d "{\"name\":\"${NAME}\"}") + +echo "Response: ${RESPONSE}" + +if echo "${RESPONSE}" | grep -qE "\"message\"[[:space:]]*:[[:space:]]*\"${EXPECTED_MSG}\""; then + echo "PASS" + exit 0 +fi + +echo "FAIL" +exit 1 diff --git a/examples/runner/image_upscale/Dockerfile b/examples/runner/image_upscale/Dockerfile new file mode 100644 index 0000000..8481785 --- /dev/null +++ b/examples/runner/image_upscale/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.11-slim + +WORKDIR /app + +# SDK install (in-repo source until livepeer-gateway publishes; will collapse +# to a single `pip install livepeer-gateway` line once on PyPI). +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +# Pipeline-specific deps. The requirements.txt sets --extra-index-url to +# pull the CPU-only torch wheel (~200 MB vs ~5 GB for the CUDA variant). +COPY examples/runner/image_upscale/requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Bake model weights at build time so setup() loads from local disk in +# milliseconds. +COPY examples/runner/image_upscale/prepare_models.py /app/prepare_models.py +RUN python /app/prepare_models.py + +# Pipeline code last so edits don't invalidate the bake layer above. +COPY examples/runner/image_upscale/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/image_upscale/README.md b/examples/runner/image_upscale/README.md new file mode 100644 index 0000000..f0f8e83 --- /dev/null +++ b/examples/runner/image_upscale/README.md @@ -0,0 +1,101 @@ +# Image upscale (BYOC) + +A ~2x image super-resolution BYOC capability — proves the SDK handles binary +I/O cleanly via Pydantic's `Base64Bytes`. Built on +[Swin2SR](https://huggingface.co/caidas/swin2SR-classical-sr-x2-64), small +enough to run on CPU. + +A `Pipeline` subclass loads the model once in `setup()`, then takes a +base64-encoded image on each `POST /predict` and returns the upscaled PNG. +The processor pads inputs to its window size before upscaling, so output +dimensions are at least 2x input but may be slightly larger. Registered as +a BYOC capability, called through the gateway, response flows back +end-to-end. + +## Run + +```bash +docker compose up -d --wait +./test.sh +docker compose down +``` + +`test.sh` prints `PASS` on success. + +`prepare_models.py` bakes the model into the image at build time so +`setup()` loads from local cache in milliseconds. + +## Browse the API + +- Swagger UI: +- ReDoc: +- OpenAPI JSON: + +## What's running + +```mermaid +sequenceDiagram + autonumber + participant curl + participant gateway + participant orchestrator + participant image_upscale as image_upscale
(SDK container) + + curl->>gateway: POST /process/request/predict + gateway->>orchestrator: forward (Livepeer-signed) + orchestrator->>image_upscale: POST /predict {"image":""} + image_upscale-->>orchestrator: {"image":"","width":W,"height":H} + orchestrator-->>gateway: response + gateway-->>curl: response +``` + +Four compose services: + +| Service | What it is | +| ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | +| `gateway`, `orchestrator` | `livepeer/go-livepeer:master` from Docker Hub | +| `image_upscale` | The pipeline container — a [BYOC](https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md) capability built with `livepeer_gateway.runner`. | +| `register_capability` | One-shot helper that POSTs to `orchestrator:8935/capability/register` once `image_upscale` is healthy | + +The pipeline service has a healthcheck that probes `GET /health` until the +model finishes loading. `register_capability` waits on `service_healthy`, so +the orchestrator never sees a "registered but not loaded" container. + +## Binary I/O contract + +Both `image` fields use Pydantic's `Base64Bytes`: + +- **Input** — `image` is a base64-encoded string in the JSON body. Pydantic + decodes to `bytes` before `predict()` runs. +- **Output** — `image` is `bytes` in the pipeline; Pydantic encodes back to + base64 in the JSON response. + +`width` and `height` are returned alongside for convenience. The pipeline +always emits PNG; document the format in the field description if you need +to surface it to callers. + +## Try with your own image + +```bash +TEST_IMAGE=/path/to/your.png \ +INPUT_WIDTH=$W INPUT_HEIGHT=$H \ +./test.sh +``` + +The test asserts output is at least 2x input dimensions. + +Or manually: + +```bash +INPUT_B64=$(base64 -w0 < your.png) + +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{}","capability":"image-upscale","timeout_seconds":60}' \ + | base64 -w0) + +curl -X POST http://localhost:9935/process/request/predict \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d "{\"image\":\"${INPUT_B64}\"}" \ + | jq -r '.image' | base64 -d > upscaled.png +``` diff --git a/examples/runner/image_upscale/docker-compose.yml b/examples/runner/image_upscale/docker-compose.yml new file mode 100644 index 0000000..9a4ce48 --- /dev/null +++ b/examples/runner/image_upscale/docker-compose.yml @@ -0,0 +1,79 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + ports: + - "9935:9935" + depends_on: + - orchestrator + + image_upscale: + build: + context: ../../.. + dockerfile: examples/runner/image_upscale/Dockerfile + container_name: image_upscale + ports: + - "5000:5000" + # Healthcheck waits for setup() to finish loading the model before the + # orchestrator can route requests here. Without this, register_capability + # could complete and the test could fire before the model is loaded. + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()"] + interval: 5s + timeout: 5s + retries: 30 + start_period: 60s + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: image-upscale + CAPABILITY_URL: http://image_upscale:5000 + depends_on: + image_upscale: + condition: service_healthy + orchestrator: + condition: service_started + +networks: + default: + name: livepeer diff --git a/examples/runner/image_upscale/pipeline.py b/examples/runner/image_upscale/pipeline.py new file mode 100644 index 0000000..e3e3454 --- /dev/null +++ b/examples/runner/image_upscale/pipeline.py @@ -0,0 +1,54 @@ +"""Image upscale BYOC pipeline. Run via ``docker compose up`` — see README.md.""" + +import base64 +import io + +import numpy as np +import torch +from PIL import Image +from pydantic import Base64Bytes, BaseModel, Field +from transformers import Swin2SRForImageSuperResolution, Swin2SRImageProcessor + +from livepeer_gateway.runner import Pipeline, serve + + +class UpscaleInput(BaseModel): + image: Base64Bytes = Field(description="Source image, base64-encoded PNG/JPEG") + + +class UpscaleOutput(BaseModel): + image: str = Field(description="Upscaled image, base64-encoded PNG") + width: int + height: int + + +class ImageUpscaler(Pipeline): + def setup(self): + # Loads from local HF cache populated at Docker build time. + model_id = "caidas/swin2SR-classical-sr-x2-64" + self.processor = Swin2SRImageProcessor.from_pretrained(model_id) + self.model = Swin2SRForImageSuperResolution.from_pretrained(model_id) + + def predict(self, params: UpscaleInput) -> UpscaleOutput: + src = Image.open(io.BytesIO(params.image)).convert("RGB") + + inputs = self.processor(images=src, return_tensors="pt") + with torch.no_grad(): + outputs = self.model(**inputs) + + # CHW float [0, 1] → HWC uint8 + chw = outputs.reconstruction.squeeze().clamp(0, 1).cpu().numpy() + hwc = np.moveaxis(chw, 0, -1) + upscaled = Image.fromarray((hwc * 255.0).round().astype(np.uint8)) + + buf = io.BytesIO() + upscaled.save(buf, format="PNG") + return UpscaleOutput( + image=base64.b64encode(buf.getvalue()).decode(), + width=upscaled.width, + height=upscaled.height, + ) + + +if __name__ == "__main__": + serve(ImageUpscaler()) diff --git a/examples/runner/image_upscale/prepare_models.py b/examples/runner/image_upscale/prepare_models.py new file mode 100644 index 0000000..f0c8ca7 --- /dev/null +++ b/examples/runner/image_upscale/prepare_models.py @@ -0,0 +1,11 @@ +"""Download model weights into the local HF cache at build time. + +Invoked by the Dockerfile so ``setup()`` loads from local disk in +milliseconds instead of pulling from HF Hub on every container start. +""" + +from transformers import Swin2SRForImageSuperResolution, Swin2SRImageProcessor + +model_id = "caidas/swin2SR-classical-sr-x2-64" +Swin2SRImageProcessor.from_pretrained(model_id) +Swin2SRForImageSuperResolution.from_pretrained(model_id) diff --git a/examples/runner/image_upscale/register_capability.py b/examples/runner/image_upscale/register_capability.py new file mode 100644 index 0000000..bf3f320 --- /dev/null +++ b/examples/runner/image_upscale/register_capability.py @@ -0,0 +1,52 @@ +"""Register the image-upscale capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "image-upscale") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://image_upscale:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/image_upscale/requirements.txt b/examples/runner/image_upscale/requirements.txt new file mode 100644 index 0000000..80fa612 --- /dev/null +++ b/examples/runner/image_upscale/requirements.txt @@ -0,0 +1,6 @@ +--extra-index-url https://download.pytorch.org/whl/cpu + +transformers +torch +Pillow +numpy diff --git a/examples/runner/image_upscale/test.sh b/examples/runner/image_upscale/test.sh new file mode 100755 index 0000000..d9840b5 --- /dev/null +++ b/examples/runner/image_upscale/test.sh @@ -0,0 +1,47 @@ +#!/usr/bin/env bash +# E2E: send a request through the gateway, assert the upscaled image +# (2x of the 32x32 fixture = 64x64) comes back through the orchestrator. + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +TEST_IMAGE="${TEST_IMAGE:-test_image.png}" +INPUT_WIDTH="${INPUT_WIDTH:-64}" +INPUT_HEIGHT="${INPUT_HEIGHT:-64}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered image-upscale"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +INPUT_B64=$(base64 -w0 < "${TEST_IMAGE}") + +# TODO: swap curl for a livepeer_gateway batch caller (post PR #6) — drops +# the gateway service from compose. +LIVEPEER_HDR=$(printf '%s' '{"request":"{}","parameters":"{}","capability":"image-upscale","timeout_seconds":60}' | base64 -w0) + +echo "Sending request through gateway..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/request/predict" \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d "{\"image\":\"${INPUT_B64}\"}") + +# Trim the base64 image from the echoed response — keeps stdout readable. +echo "Response (image truncated): $(echo "${RESPONSE}" | sed 's/\("image":"\)[^"]*/\1/')" + +WIDTH=$(echo "${RESPONSE}" | grep -oE '"width"[[:space:]]*:[[:space:]]*[0-9]+' | grep -oE '[0-9]+$') +HEIGHT=$(echo "${RESPONSE}" | grep -oE '"height"[[:space:]]*:[[:space:]]*[0-9]+' | grep -oE '[0-9]+$') + +# The Swin2SR processor pads inputs to its window size before upscaling, so +# output is at least 2x input but may be slightly larger. +if [ "${WIDTH}" -ge $((INPUT_WIDTH * 2)) ] && [ "${HEIGHT}" -ge $((INPUT_HEIGHT * 2)) ]; then + echo "PASS (${WIDTH}x${HEIGHT}, >=2x of ${INPUT_WIDTH}x${INPUT_HEIGHT})" + exit 0 +fi + +echo "FAIL: expected >=${INPUT_WIDTH}x${INPUT_HEIGHT} doubled, got ${WIDTH}x${HEIGHT}" +exit 1 diff --git a/examples/runner/image_upscale/test_image.png b/examples/runner/image_upscale/test_image.png new file mode 100644 index 0000000..c419e41 Binary files /dev/null and b/examples/runner/image_upscale/test_image.png differ diff --git a/examples/runner/live_depth/.gitignore b/examples/runner/live_depth/.gitignore new file mode 100644 index 0000000..ee88966 --- /dev/null +++ b/examples/runner/live_depth/.gitignore @@ -0,0 +1 @@ +assets/ diff --git a/examples/runner/live_depth/Dockerfile b/examples/runner/live_depth/Dockerfile new file mode 100644 index 0000000..6e3a330 --- /dev/null +++ b/examples/runner/live_depth/Dockerfile @@ -0,0 +1,26 @@ +FROM pytorch/pytorch:2.4.0-cuda12.1-cudnn9-runtime + +WORKDIR /app + +# SDK install (in-repo source until livepeer-gateway publishes; will collapse +# to a single `pip install livepeer` line once on PyPI). +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +# Bake the depth model into the image so first stream skips the download. +# Switch variant by editing this line and `_MODEL_ID` in pipeline.py. +RUN pip install --no-cache-dir \ + transformers>=4.45 \ + accelerate>=0.34 \ + opencv-python-headless>=4.10 \ + pillow>=10.0 \ + && python -c "from transformers import pipeline; \ +pipeline(task='depth-estimation', model='depth-anything/Depth-Anything-V2-Base-hf')" + +# Pipeline code last so edits don't invalidate the SDK install layer. +COPY examples/runner/live_depth/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/live_depth/Dockerfile.mediamtx b/examples/runner/live_depth/Dockerfile.mediamtx new file mode 100644 index 0000000..e194c24 --- /dev/null +++ b/examples/runner/live_depth/Dockerfile.mediamtx @@ -0,0 +1,8 @@ +# bluenviron/mediamtx ships as a scratch image (no shell, no curl), but +# `runOnReady` needs curl to call back into the gateway's BYOC ingest webhook. +# Repackage on alpine + curl — same mediamtx binary, ~10 MB image. +FROM alpine:3.20 +RUN apk add --no-cache curl ca-certificates +COPY --from=bluenviron/mediamtx:latest /mediamtx /mediamtx +COPY --from=bluenviron/mediamtx:latest /mediamtx.yml /mediamtx.default.yml +ENTRYPOINT ["/mediamtx"] diff --git a/examples/runner/live_depth/README.md b/examples/runner/live_depth/README.md new file mode 100644 index 0000000..911b5c4 --- /dev/null +++ b/examples/runner/live_depth/README.md @@ -0,0 +1,75 @@ +# Live depth (BYOC, real-time, GPU) + +Real-time monocular depth estimation via [DepthAnything V2](https://github.com/DepthAnything/Depth-Anything-V2). +Each video frame goes through the model; the depth map replaces the luma +plane and the chroma planes are zeroed, so the egress reads as a +grayscale "bright = close, dark = far" visualization. + +## Requirements + +- **NVIDIA GPU** with CUDA 12.x driver +- [`nvidia-container-toolkit`](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) + installed and registered with Docker +- Several GB of free disk (image bundles PyTorch + CUDA runtime + model) + +Verify with: + +```bash +docker info | grep -i nvidia # should show "Runtimes: ... nvidia ..." +docker run --rm --gpus all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi +``` + +Without GPU access the container will still start but PyTorch falls back +to CPU — depth inference is too slow to sustain real-time and the publisher +tears down within seconds. + +## Run + +```bash +docker compose up -d --wait --build # first build downloads model + CUDA layers + +./test.sh # CI: real depth-rich clip, asserts non-trivial depth output +./demo.sh # interactive: webcam in, live depth ffplay window + +docker compose down +``` + +The pipeline container starts in `LOADING` state until `setup()` finishes +loading the model on GPU and runs the warm pass. + +### `test.sh` — automated assertion + +Pushes a depth-rich basketball clip (auto-downloaded to `assets/sample.mp4` +on first run) through the full BYOC chain, captures the egress, and asserts +both that chroma is zeroed *and* the luma plane has spatial variance — so a +no-op pipeline can't pass by accidentally producing uniform output. + +### `demo.sh` — live webcam viewer + +Pushes your webcam through the depth pipeline and opens an ffplay window +showing the depth output in real time. Bright = close, dark = far. Wave +your hand toward the camera to see the gradient shift. + +Defaults to 640×480 @ 15fps. Bump or override via env vars: + +```bash +WEBCAM_FPS=30 ./demo.sh # smoother, may stall on slower CPUs +WEBCAM_RES=1280x720 ./demo.sh +WEBCAM_DEVICE=/dev/video1 ./demo.sh # Linux: pick a different camera +``` + +If the live viewer disconnects mid-stream, you've hit the throughput +ceiling — drop FPS or resolution. + +## Throughput + +DepthAnything V2 Base with `torch.float16` on a 30/40-series GPU runs +~25 ms per frame — comfortably inside the 33 ms (30 fps) or 66 ms (15 fps) +budget. Switch variant by editing `_MODEL_ID` in `pipeline.py` (and the +matching bake line in the `Dockerfile`). + +| Variant | Params | VRAM (fp16) | Latency on RTX 3090 | +| --- | --- | --- | --- | +| `Small-hf` | 24 M | ~1 GB | ~15 ms | +| `Base-hf` (default) | 97 M | ~2 GB | ~25 ms | +| `Large-hf` | 335 M | ~3 GB | ~80 ms | diff --git a/examples/runner/live_depth/demo.sh b/examples/runner/live_depth/demo.sh new file mode 100755 index 0000000..5214235 --- /dev/null +++ b/examples/runner/live_depth/demo.sh @@ -0,0 +1,111 @@ +#!/usr/bin/env bash +# Live demo — push your webcam through the grayscale pipeline and watch +# the result in ffplay. Minimal complement to test.sh (which uses synthetic +# testsrc + capture-to-file for CI assertions). +# +# Path: webcam → ffmpeg push (RTMP) → mediamtx → gateway → orch → runner → +# orch → mediamtx → ffplay pull (RTMP) +# +# Prerequisites: +# - Stack up: `docker compose up -d --wait --build` +# - ffmpeg + ffplay on host +# - Webcam: /dev/video0 (Linux) or first AVFoundation device (macOS) + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" + +# 640x480 @ 15fps — sustains real-time on any 30/40-series GPU. +WEBCAM_RES="${WEBCAM_RES:-640x480}" +WEBCAM_FPS="${WEBCAM_FPS:-15}" + +case "$(uname -s)" in + Linux*) + WEBCAM_DEVICE="${WEBCAM_DEVICE:-/dev/video0}" + # `-thread_queue_size` absorbs v4l2 driver hiccups; `+discardcorrupt` + # drops bad-buffer frames USB webcams emit at startup. + INPUT_FLAGS=(-thread_queue_size 1024 -fflags +discardcorrupt + -f v4l2 -framerate "${WEBCAM_FPS}" -video_size "${WEBCAM_RES}" + -i "${WEBCAM_DEVICE}") + ;; + Darwin*) + # `0` = first AVFoundation video device. Use `ffmpeg -f avfoundation -list_devices true -i ""` to enumerate. + WEBCAM_DEVICE="${WEBCAM_DEVICE:-0}" + INPUT_FLAGS=(-thread_queue_size 1024 -fflags +discardcorrupt + -f avfoundation -framerate "${WEBCAM_FPS}" -video_size "${WEBCAM_RES}" + -i "${WEBCAM_DEVICE}") + ;; + *) + echo "Unsupported platform $(uname -s); only Linux and macOS are wired up." >&2 + exit 1 + ;; +esac + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered live-video-to-video"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# `parameters` is a stringified JSON; enable_video_{ingress,egress} drive +# trickle channel creation (go-livepeer byoc/types.go). 600s timeout for long demos. +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{\"enable_video_ingress\":true,\"enable_video_egress\":true}","capability":"live-video-to-video","timeout_seconds":600}' \ + | base64 -w0) + +# Best-effort session cleanup; registered early to catch Ctrl-C. +# `${STREAM_ID:-}` so an early failure (before stream/start succeeded) doesn't +# trip `set -u` when the trap fires. +trap 'kill -INT "${PUSH_PID:-}" 2>/dev/null || true; curl -fsS -X POST "${GATEWAY_URL}/process/stream/${STREAM_ID:-}/stop" -H "Livepeer: ${LIVEPEER_HDR}" -d "{}" >/dev/null 2>&1 || true' EXIT + +echo "Starting stream session..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/stream/start" \ + -H "Livepeer: ${LIVEPEER_HDR}" -d '{}') + +STREAM_ID=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['stream_id'])") +RTMP_IN=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_url'])") +RTMP_OUT=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_output_url'].split(',')[0])") + +# Gateway URLs use docker-DNS name `mediamtx`, only resolvable inside compose. +RTMP_IN="${RTMP_IN/mediamtx:/localhost:}" +RTMP_OUT="${RTMP_OUT/mediamtx:/localhost:}" + +echo " stream_id=${STREAM_ID}" +echo " webcam =${WEBCAM_DEVICE} @ ${WEBCAM_RES} ${WEBCAM_FPS}fps" +echo " rtmp_in=${RTMP_IN}" +echo " rtmp_out=${RTMP_OUT}" + +echo "Pushing webcam to gateway..." +# `-g 30` = 1s GOP so first segment lands quickly (else 8s+ latency). +# `-vf format=yuv420p` normalizes YUYV/NV12 before x264. +# `-loglevel error` mutes the cosmetic v4l2 startup warning. +ffmpeg -loglevel error -re \ + "${INPUT_FLAGS[@]}" \ + -vf format=yuv420p \ + -c:v libx264 -preset ultrafast -tune zerolatency -g 30 \ + -f flv "${RTMP_IN}" /dev/null & +PUSH_PID=$! + +# Retry until mediamtx serves egress; low-latency flags = faster first packet. +echo -n "Waiting for processed stream" +for _ in $(seq 1 "${RETRIES:-30}"); do + # Normal probe — readiness needs reliable confirmation, not low latency. + if ffmpeg -loglevel error -y \ + -i "${RTMP_OUT}" -t 0.1 -f null - /dev/null; then + echo " ok." + break + fi + echo -n "." + sleep 1 +done + +echo "Opening live viewer (close the window or Ctrl-C to stop)..." +# `nobuffer` + `low_delay` for low playback latency; no `probesize 32` — +# too aggressive for RTMP (causes I/O error on open before ffplay locks). +ffplay -loglevel warning \ + -fflags nobuffer -flags low_delay \ + -window_title "live_depth (webcam)" \ + "${RTMP_OUT}" diff --git a/examples/runner/live_depth/docker-compose.yml b/examples/runner/live_depth/docker-compose.yml new file mode 100644 index 0000000..f2023a1 --- /dev/null +++ b/examples/runner/live_depth/docker-compose.yml @@ -0,0 +1,100 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + environment: + LIVE_AI_PLAYBACK_HOST: rtmp://mediamtx:1935 + ports: + - "9935:9935" + depends_on: + - orchestrator + - mediamtx + + # RTMP frontend. Custom build adds curl to the scratch base so mediamtx.yml's + # `runOnReady` can call the gateway — no Livepeer mediamtx fork required. + mediamtx: + build: + context: . + dockerfile: Dockerfile.mediamtx + container_name: mediamtx + ports: + - "1935:1935" # RTMP push/pull + volumes: + - ./mediamtx.yml:/mediamtx.yml:ro + + live_depth: + build: + context: ../../.. + dockerfile: examples/runner/live_depth/Dockerfile + container_name: live_depth + ports: + - "5000:5000" + # Enable GPU access — requires nvidia-container-toolkit on the host. + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: [gpu] + # Healthcheck waits for setup() to load the model on GPU. Larger start_period than the CPU examples so model load + first warm pass don't fail health probes. + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()"] + interval: 5s + timeout: 5s + retries: 60 + start_period: 60s + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: live-video-to-video + CAPABILITY_URL: http://live_depth:5000 + depends_on: + live_depth: + condition: service_healthy + orchestrator: + condition: service_started + +networks: + default: + name: livepeer diff --git a/examples/runner/live_depth/mediamtx.yml b/examples/runner/live_depth/mediamtx.yml new file mode 100644 index 0000000..e411d15 --- /dev/null +++ b/examples/runner/live_depth/mediamtx.yml @@ -0,0 +1,30 @@ +# Bridges stock bluenviron mediamtx → BYOC gateway, no Livepeer fork needed. +# See go-livepeer byoc/stream_gateway.go:StartStreamRTMPIngest. + +# Gateway hits the API from another container for stream-exists checks and +# input kicks; default ACL is localhost-only and would 401. +api: yes +authInternalUsers: + - user: any + pass: + ips: [] + permissions: + - action: publish + - action: read + - action: playback + - action: api + +paths: + # Egress paths the gateway publishes to (-out). Skip the ingest + # hook — gateway is the publisher, not an external client, and would + # 404 looking these up. + '~.*-out$': + runOnReadyRestart: no + all_others: + # No shell in the image, so curl is invoked directly (no `sh -c`). + runOnReady: > + curl -fsS -X POST + http://gateway:9935/process/stream/$MTX_PATH/rtmp + -F source_id=$MTX_SOURCE_ID + -F source_type=$MTX_SOURCE_TYPE + runOnReadyRestart: no diff --git a/examples/runner/live_depth/pipeline.py b/examples/runner/live_depth/pipeline.py new file mode 100644 index 0000000..5145f91 --- /dev/null +++ b/examples/runner/live_depth/pipeline.py @@ -0,0 +1,73 @@ +"""Real-time monocular depth via DepthAnything V2 on GPU — bright = close, dark = far.""" + +from __future__ import annotations + +import logging + +import cv2 +import numpy as np +import torch +from transformers import pipeline as hf_pipeline + +from livepeer_gateway.runner import LivePipeline, serve +from livepeer_gateway.runner.frames import VideoFrame + +logging.basicConfig(level=logging.INFO, format="%(levelname)s %(name)s: %(message)s") +_LOG = logging.getLogger(__name__) + +_MODEL_ID = "depth-anything/Depth-Anything-V2-Base-hf" + +# 128 = neutral 8-bit YUV chroma; keeps output grayscale so depth-as-luma reads clean. +_NEUTRAL_CHROMA = 128 + + +class LiveDepth(LivePipeline): + """Per-frame monocular depth estimation; bright = close, dark = far.""" + + def setup(self) -> None: + device = "cuda" if torch.cuda.is_available() else "cpu" + dtype = torch.float16 if device == "cuda" else torch.float32 + _LOG.info("Loading %s on %s (dtype=%s)...", _MODEL_ID, device, dtype) + self._pipe = hf_pipeline( + task="depth-estimation", + model=_MODEL_ID, + device=device, + torch_dtype=dtype, + ) + + # Warm pass so first real frame doesn't include compile / cache cost. + from PIL import Image + self._pipe(Image.fromarray(np.zeros((384, 384, 3), dtype=np.uint8))) + _LOG.info("Model loaded.") + + async def process_video(self, frame: VideoFrame) -> VideoFrame: + av_frame = frame.frame + if "yuv" not in av_frame.format.name.lower(): + return frame # passthrough for unexpected pixel formats + + # HF depth-estimation returns {"depth": PIL.Image uint8 auto-normalized + # for display, "predicted_depth": raw tensor}; we want the visualization. + depth_pil = self._pipe(av_frame.to_image())["depth"] + depth = np.asarray(depth_pil, dtype=np.uint8) + + # Defensive: HF normally returns the depth at the input size already. + if depth.shape != (av_frame.height, av_frame.width): + depth = cv2.resize(depth, (av_frame.width, av_frame.height)) + + # Write depth into the Y plane and zero chroma so the output reads as grayscale. + y_plane = av_frame.planes[0] + if y_plane.line_size == av_frame.width: + y_plane.update(depth.tobytes()) + else: + buf = np.zeros((y_plane.height, y_plane.line_size), dtype=np.uint8) + buf[: depth.shape[0], : depth.shape[1]] = depth + y_plane.update(buf.tobytes()) + for plane_idx in (1, 2): + plane = av_frame.planes[plane_idx] + plane.update(bytes([_NEUTRAL_CHROMA]) * (plane.line_size * plane.height)) + + return frame + + +if __name__ == "__main__": + serve(LiveDepth()) diff --git a/examples/runner/live_depth/register_capability.py b/examples/runner/live_depth/register_capability.py new file mode 100644 index 0000000..4f25e8b --- /dev/null +++ b/examples/runner/live_depth/register_capability.py @@ -0,0 +1,52 @@ +"""Register the sentiment capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "sentiment") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://sentiment:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/live_depth/test.sh b/examples/runner/live_depth/test.sh new file mode 100755 index 0000000..4aad8a5 --- /dev/null +++ b/examples/runner/live_depth/test.sh @@ -0,0 +1,126 @@ +#!/usr/bin/env bash +# E2E test for live_depth — pushes a synthetic colored stream through the +# full BYOC stack, asserts the egress is grayscale (chroma zeroed) AND that +# the luma plane has spatial variance (i.e., the depth model produced a +# non-uniform output rather than a fixed grayscale fill). +# +# Path: ffmpeg push (RTMP) → mediamtx → gateway → orch → runner → orch → mediamtx → ffmpeg pull (RTMP) + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +OUTPUT_FILE="${OUTPUT_FILE:-/tmp/live_depth_output.mts}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered live-video-to-video"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# `parameters` is a stringified JSON; enable_video_{ingress,egress} drive +# trickle channel creation (go-livepeer byoc/types.go). +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{\"enable_video_ingress\":true,\"enable_video_egress\":true}","capability":"live-video-to-video","timeout_seconds":60}' \ + | base64 -w0) + +# Best-effort session cleanup; registered early to catch Ctrl-C. +# `${STREAM_ID:-}` so an early failure (before stream/start succeeded) doesn't +# trip `set -u` when the trap fires. +trap 'curl -fsS -X POST "${GATEWAY_URL}/process/stream/${STREAM_ID:-}/stop" -H "Livepeer: ${LIVEPEER_HDR}" -d "{}" >/dev/null 2>&1 || true' EXIT + +echo "Starting stream session..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/stream/start" \ + -H "Livepeer: ${LIVEPEER_HDR}" -d '{}') + +STREAM_ID=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['stream_id'])") +RTMP_IN=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_url'])") +RTMP_OUT=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_output_url'].split(',')[0])") +echo " stream_id=${STREAM_ID}" +echo " rtmp_in =${RTMP_IN}" +echo " rtmp_out=${RTMP_OUT}" + +RTMP_IN="${RTMP_IN/mediamtx:/localhost:}" +RTMP_OUT="${RTMP_OUT/mediamtx:/localhost:}" + +# Depth-rich clip from the DepthAnything V2 repo (cached under assets/ on +# first run). +SAMPLE_URL="${SAMPLE_URL:-https://raw.githubusercontent.com/DepthAnything/Depth-Anything-V2/main/assets/examples_video/basketball.mp4}" +SAMPLE_FILE="${SAMPLE_FILE:-assets/sample.mp4}" +if [ ! -f "${SAMPLE_FILE}" ]; then + echo "Downloading sample video..." + mkdir -p "$(dirname "${SAMPLE_FILE}")" + curl -fsSL -o "${SAMPLE_FILE}" "${SAMPLE_URL}" +fi + +# `-stream_loop -1` loops the clip until the `-t` budget is hit. +echo "Pushing depth-rich sample..." +ffmpeg -loglevel error -re -stream_loop -1 -i "${SAMPLE_FILE}" \ + -vf "scale=640:480" -an \ + -c:v libx264 -preset ultrafast -tune zerolatency -g 30 \ + -t 60 -f flv "${RTMP_IN}" /dev/null & +PUSH_PID=$! + +# Re-encode (not `-c:v copy`) so the capture starts with fresh SPS/PPS. +# A mid-stream RTMP pull lands after the originals, leaving a copied stream undecodable. +echo -n "Pulling processed stream" +PULL_OK=0 +for _ in $(seq 1 "${RETRIES:-20}"); do + if ffmpeg -y -loglevel error \ + -i "${RTMP_OUT}" -t 5 \ + -c:v libx264 -preset ultrafast -an \ + "${OUTPUT_FILE}" /dev/null; then + echo " ok." + PULL_OK=1 + break + fi + echo -n "." + sleep 2 +done + +# SIGINT (not SIGTERM/SIGKILL) lets ffmpeg flush its RTMP trailer cleanly. +kill -INT ${PUSH_PID} 2>/dev/null || true +wait ${PUSH_PID} 2>/dev/null || true + +if [ ${PULL_OK} -ne 1 ]; then + echo + echo "FAIL: pull never succeeded after retries" + exit 1 +fi + +if [ ! -s "${OUTPUT_FILE}" ]; then + echo "FAIL: no bytes received from gateway egress" + exit 1 +fi + +# Validate the depth pipeline actually ran: +# 1. Extract a PNG frame (direct ffprobe on the .mts trips on mid-stream H.264 issues). +# 2. Read luma min/max + chroma averages via signalstats. +# ffprobe emits CSV in Y*→U*→V* order regardless of -show_entries; match `read` to that. +# 3. Assert U ≈ V ≈ 128 (chroma was zeroed). +# 4. Assert YHIGH - YLOW > 50 (luma non-uniform — real depth, else a chroma-only no-op +# would pass since real depth maps span ~150+ while uniform fill spans 0). +FRAME_PNG="${OUTPUT_FILE%.mts}_frame.png" +ffmpeg -v error -i "${OUTPUT_FILE}" -frames:v 1 -y "${FRAME_PNG}" /dev/null \ + || { echo "FAIL: could not extract a frame from ${OUTPUT_FILE}"; exit 1; } +IFS=, read -r YLOW YHIGH U V < <(ffprobe -v error -f lavfi \ + -i "movie=${FRAME_PNG},signalstats" \ + -show_entries frame_tags=lavfi.signalstats.YLOW,lavfi.signalstats.YHIGH,lavfi.signalstats.UAVG,lavfi.signalstats.VAVG \ + -of csv=p=0) +awk -v u="${U:-0}" -v v="${V:-0}" 'BEGIN { exit !(u>123 && u<133 && v>123 && v<133) }' \ + || { echo "FAIL: chroma not zeroed (U=${U} V=${V}, expected ≈128)"; exit 1; } +RANGE=$(awk -v hi="${YHIGH:-0}" -v lo="${YLOW:-0}" 'BEGIN { print hi - lo }') +awk -v r="${RANGE:-0}" 'BEGIN { exit !(r > 50.0) }' \ + || { echo "FAIL: luma plane too uniform (YHIGH-YLOW=${RANGE}); depth model may not be producing varied output"; exit 1; } + +OUTPUT_SIZE=$(stat -c %s "${OUTPUT_FILE}" 2>/dev/null || stat -f %z "${OUTPUT_FILE}") +echo "PASS (${OUTPUT_SIZE} bytes, U=${U} V=${V} YHIGH-YLOW=${RANGE} → ${OUTPUT_FILE})" + +# Open in ffplay (skipped in non-TTY or via SKIP_VIEWER=1). +if [ -t 1 ] && [ "${SKIP_VIEWER:-0}" != "1" ]; then + echo "Opening captured clip..." + ffplay -loglevel error -window_title "live_depth (captured)" \ + -x 640 -y 480 -autoexit "${OUTPUT_FILE}" +fi diff --git a/examples/runner/live_grayscale/Dockerfile b/examples/runner/live_grayscale/Dockerfile new file mode 100644 index 0000000..2a02ebb --- /dev/null +++ b/examples/runner/live_grayscale/Dockerfile @@ -0,0 +1,16 @@ +FROM python:3.11-slim + +WORKDIR /app + +# SDK install (in-repo source until livepeer-gateway publishes; will collapse +# to a single `pip install livepeer-gateway` line once on PyPI). +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +# Pipeline code last so edits don't invalidate the SDK install layer. +COPY examples/runner/live_grayscale/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/live_grayscale/Dockerfile.mediamtx b/examples/runner/live_grayscale/Dockerfile.mediamtx new file mode 100644 index 0000000..e194c24 --- /dev/null +++ b/examples/runner/live_grayscale/Dockerfile.mediamtx @@ -0,0 +1,8 @@ +# bluenviron/mediamtx ships as a scratch image (no shell, no curl), but +# `runOnReady` needs curl to call back into the gateway's BYOC ingest webhook. +# Repackage on alpine + curl — same mediamtx binary, ~10 MB image. +FROM alpine:3.20 +RUN apk add --no-cache curl ca-certificates +COPY --from=bluenviron/mediamtx:latest /mediamtx /mediamtx +COPY --from=bluenviron/mediamtx:latest /mediamtx.yml /mediamtx.default.yml +ENTRYPOINT ["/mediamtx"] diff --git a/examples/runner/live_grayscale/README.md b/examples/runner/live_grayscale/README.md new file mode 100644 index 0000000..c5f4dd7 --- /dev/null +++ b/examples/runner/live_grayscale/README.md @@ -0,0 +1,140 @@ +# Live grayscale (BYOC, real-time) + +A minimal real-time video pipeline — proves the SDK's `LivePipeline` +abstraction end-to-end against go-livepeer's BYOC trickle protocol. +Each video frame's chroma planes are zeroed (U=V=128), producing a +grayscale output. Audio passes through unchanged. + +The whole transform is one method: + +```python +class GrayscaleFilter(LivePipeline): + async def process_video(self, frame: VideoFrame) -> VideoFrame: + av_frame = frame.frame + if "yuv" in av_frame.format.name.lower(): + for plane_idx in (1, 2): + plane = av_frame.planes[plane_idx] + plane.update(bytes([128]) * (plane.line_size * plane.height)) + return frame +``` + +No model. No GPU. No external dependencies beyond the SDK. The point +is to validate the architecture — frame decode → user transform → +encode — against a real go-livepeer orchestrator + gateway. See the +issue tracker for a planned follow-up GPU example with a heavier +inference pipeline. + +## Run + +```bash +docker compose up -d --wait --build + +./test.sh # CI: synthetic stream, asserts grayscale, opens ffplay +./demo.sh # interactive: webcam in, live grayscale ffplay window + +docker compose down +``` + +### `test.sh` — automated assertion + +1. Pushes a synthetic stream through the full BYOC chain +2. Captures the egress to `/tmp/live_grayscale_output.mts` and asserts + the U/V chroma planes are ≈128 (i.e., the runner actually grayscaled + the frames — bytes-received alone wouldn't catch a no-op `process_video`) +3. Opens the captured clip in **ffplay** so you can see the result + (`SKIP_VIEWER=1 ./test.sh` skips this — useful in CI / over SSH) + +`RETRIES=N` overrides the pull retry count (default 20) for fast-fail +iteration. + +### `demo.sh` — live webcam viewer + +Pushes your webcam through the pipeline and opens an ffplay window +showing the grayscale output in real time. Close the window or Ctrl-C +to stop. + +Defaults to 320×240 @ 15fps. The PyAV encode loop is the sustained-throughput +bottleneck — 30fps stalls after ~10s on most hardware; 15fps holds steadily. + +Bump either knob once you've confirmed your hardware keeps up: + +```bash +WEBCAM_FPS=30 ./demo.sh # smoother, may stall on slower CPUs +WEBCAM_RES=640x480 WEBCAM_FPS=15 ./demo.sh +WEBCAM_DEVICE=/dev/video1 ./demo.sh # Linux: pick a different camera +``` + +If the live viewer disconnects mid-stream, you've hit the throughput ceiling — +drop FPS or resolution. The proper fix (drop policies in `MediaPublish`) is +tracked in [issue #8](https://github.com/livepeer/livepeer-python-gateway/issues/8). + +| Platform | Source | +| -------- | ------------------------------------------------------------- | +| Linux | `/dev/video0` via `v4l2` (override with `WEBCAM_DEVICE`) | +| macOS | First `avfoundation` device (override with `WEBCAM_DEVICE=N`) | + +Requires `ffmpeg` and `ffplay` on the host. + +## What's running + +```mermaid +sequenceDiagram + autonumber + participant ffmpeg + participant mediamtx + participant gateway + participant orchestrator + participant live_grayscale as live_grayscale
(SDK container) + + ffmpeg->>gateway: POST /process/stream/start (Livepeer envelope) + gateway->>orchestrator: forward (signed) + orchestrator->>live_grayscale: POST /stream/start (subscribe_url, publish_url, …) + live_grayscale-->>orchestrator: 200 + gateway-->>ffmpeg: { rtmp_url, rtmp_output_url, stream_id, … } + + ffmpeg->>mediamtx: RTMP push (rtmp_url) + mediamtx->>orchestrator: trickle ingest + orchestrator->>live_grayscale: trickle subscribe → frames + Note over live_grayscale: GrayscaleFilter.process_video zeros U/V + live_grayscale->>orchestrator: trickle publish → frames + orchestrator->>mediamtx: trickle egress + mediamtx-->>ffmpeg: RTMP pull (rtmp_output_url) + + ffmpeg->>gateway: POST /process/stream/{id}/stop +``` + +Five compose services: + +| Service | What it is | +| ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `gateway`, `orchestrator` | `livepeer/go-livepeer:master` from Docker Hub | +| `mediamtx` | RTMP frontend the gateway points at via `LIVE_AI_PLAYBACK_HOST`. Caller pushes RTMP here; processed output served back as RTMP. `mediamtx.yml` wires `runOnReady` to the gateway's BYOC ingest webhook; `Dockerfile.mediamtx` repackages the scratch image with curl so the webhook can fire. | +| `live_grayscale` | The pipeline container — a [BYOC](https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md) capability built with `livepeer_gateway.runner.LivePipeline`. | +| `register_capability` | One-shot helper that POSTs to `orchestrator:8935/capability/register` once `live_grayscale` is healthy | + +The pipeline service has a healthcheck that probes `GET /health` until +`setup()` finishes (state machine reaches `OK`). `register_capability` +waits on `service_healthy`, so the orchestrator never sees a "registered +but not loaded" container. + +## Wire contract (the parts that matter) + +`POST /process/stream/start`'s `Livepeer:` header carries the job +envelope. Two fields drive what trickle channels the orchestrator +creates: + +```json +{ + "capability": "live-video-to-video", + "parameters": "{\"enable_video_ingress\":true,\"enable_video_egress\":true}", + ... +} +``` + +| Flag (in `parameters`) | Effect on the runner's `/stream/start` body | +| ---------------------------- | ------------------------------------------- | +| `enable_video_ingress: true` | Adds `subscribe_url` | +| `enable_video_egress: true` | Adds `publish_url` | +| `enable_data_output: true` | Adds `data_url` (not used here) | + +Verified against `byoc/stream_orchestrator.go:93-131` in go-livepeer. diff --git a/examples/runner/live_grayscale/demo.sh b/examples/runner/live_grayscale/demo.sh new file mode 100755 index 0000000..cbf650a --- /dev/null +++ b/examples/runner/live_grayscale/demo.sh @@ -0,0 +1,111 @@ +#!/usr/bin/env bash +# Live demo — push your webcam through the grayscale pipeline and watch +# the result in ffplay. Minimal complement to test.sh (which uses synthetic +# testsrc + capture-to-file for CI assertions). +# +# Path: webcam → ffmpeg push (RTMP) → mediamtx → gateway → orch → runner → +# orch → mediamtx → ffplay pull (RTMP) +# +# Prerequisites: +# - Stack up: `docker compose up -d --wait --build` +# - ffmpeg + ffplay on host +# - Webcam: /dev/video0 (Linux) or first AVFoundation device (macOS) + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" + +# 15fps default — 30fps stalls on most hardware (PyAV encode loop bottleneck). +WEBCAM_RES="${WEBCAM_RES:-320x240}" +WEBCAM_FPS="${WEBCAM_FPS:-15}" + +case "$(uname -s)" in + Linux*) + WEBCAM_DEVICE="${WEBCAM_DEVICE:-/dev/video0}" + # `-thread_queue_size` absorbs v4l2 driver hiccups; `+discardcorrupt` + # drops bad-buffer frames USB webcams emit at startup. + INPUT_FLAGS=(-thread_queue_size 1024 -fflags +discardcorrupt + -f v4l2 -framerate "${WEBCAM_FPS}" -video_size "${WEBCAM_RES}" + -i "${WEBCAM_DEVICE}") + ;; + Darwin*) + # `0` = first AVFoundation video device. Use `ffmpeg -f avfoundation -list_devices true -i ""` to enumerate. + WEBCAM_DEVICE="${WEBCAM_DEVICE:-0}" + INPUT_FLAGS=(-thread_queue_size 1024 -fflags +discardcorrupt + -f avfoundation -framerate "${WEBCAM_FPS}" -video_size "${WEBCAM_RES}" + -i "${WEBCAM_DEVICE}") + ;; + *) + echo "Unsupported platform $(uname -s); only Linux and macOS are wired up." >&2 + exit 1 + ;; +esac + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered live-video-to-video"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# `parameters` is a stringified JSON; enable_video_{ingress,egress} drive +# trickle channel creation (go-livepeer byoc/types.go). 600s timeout for long demos. +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{\"enable_video_ingress\":true,\"enable_video_egress\":true}","capability":"live-video-to-video","timeout_seconds":600}' \ + | base64 -w0) + +# Best-effort session cleanup; registered early to catch Ctrl-C. +# `${STREAM_ID:-}` so an early failure (before stream/start succeeded) doesn't +# trip `set -u` when the trap fires. +trap 'kill -INT "${PUSH_PID:-}" 2>/dev/null || true; curl -fsS -X POST "${GATEWAY_URL}/process/stream/${STREAM_ID:-}/stop" -H "Livepeer: ${LIVEPEER_HDR}" -d "{}" >/dev/null 2>&1 || true' EXIT + +echo "Starting stream session..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/stream/start" \ + -H "Livepeer: ${LIVEPEER_HDR}" -d '{}') + +STREAM_ID=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['stream_id'])") +RTMP_IN=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_url'])") +RTMP_OUT=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_output_url'].split(',')[0])") + +# Gateway URLs use docker-DNS name `mediamtx`, only resolvable inside compose. +RTMP_IN="${RTMP_IN/mediamtx:/localhost:}" +RTMP_OUT="${RTMP_OUT/mediamtx:/localhost:}" + +echo " stream_id=${STREAM_ID}" +echo " webcam =${WEBCAM_DEVICE} @ ${WEBCAM_RES} ${WEBCAM_FPS}fps" +echo " rtmp_in=${RTMP_IN}" +echo " rtmp_out=${RTMP_OUT}" + +echo "Pushing webcam to gateway..." +# `-g 30` = 1s GOP so first segment lands quickly (else 8s+ latency). +# `-vf format=yuv420p` normalizes YUYV/NV12 before x264. +# `-loglevel error` mutes the cosmetic v4l2 startup warning. +ffmpeg -loglevel error -re \ + "${INPUT_FLAGS[@]}" \ + -vf format=yuv420p \ + -c:v libx264 -preset ultrafast -tune zerolatency -g 30 \ + -f flv "${RTMP_IN}" /dev/null & +PUSH_PID=$! + +# Retry until mediamtx serves egress; low-latency flags = faster first packet. +echo -n "Waiting for processed stream" +for _ in $(seq 1 "${RETRIES:-30}"); do + # Normal probe — readiness needs reliable confirmation, not low latency. + if ffmpeg -loglevel error -y \ + -i "${RTMP_OUT}" -t 0.1 -f null - /dev/null; then + echo " ok." + break + fi + echo -n "." + sleep 1 +done + +echo "Opening live viewer (close the window or Ctrl-C to stop)..." +# `nobuffer` + `low_delay` for low playback latency; no `probesize 32` — +# too aggressive for RTMP (causes I/O error on open before ffplay locks). +ffplay -loglevel warning \ + -fflags nobuffer -flags low_delay \ + -window_title "live_grayscale (webcam)" \ + "${RTMP_OUT}" diff --git a/examples/runner/live_grayscale/docker-compose.yml b/examples/runner/live_grayscale/docker-compose.yml new file mode 100644 index 0000000..36f4651 --- /dev/null +++ b/examples/runner/live_grayscale/docker-compose.yml @@ -0,0 +1,92 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + environment: + LIVE_AI_PLAYBACK_HOST: rtmp://mediamtx:1935 + ports: + - "9935:9935" + depends_on: + - orchestrator + - mediamtx + + # RTMP frontend. Custom build adds curl to the scratch base so mediamtx.yml's + # `runOnReady` can call the gateway — no Livepeer mediamtx fork required. + mediamtx: + build: + context: . + dockerfile: Dockerfile.mediamtx + container_name: mediamtx + ports: + - "1935:1935" # RTMP push/pull + volumes: + - ./mediamtx.yml:/mediamtx.yml:ro + + live_grayscale: + build: + context: ../../.. + dockerfile: examples/runner/live_grayscale/Dockerfile + container_name: live_grayscale + ports: + - "5000:5000" + # Healthcheck waits for setup() to complete so register_capability + tests don't race the LOADING state. + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()"] + interval: 5s + timeout: 5s + retries: 30 + start_period: 30s + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: live-video-to-video + CAPABILITY_URL: http://live_grayscale:5000 + depends_on: + live_grayscale: + condition: service_healthy + orchestrator: + condition: service_started + +networks: + default: + name: livepeer diff --git a/examples/runner/live_grayscale/mediamtx.yml b/examples/runner/live_grayscale/mediamtx.yml new file mode 100644 index 0000000..e411d15 --- /dev/null +++ b/examples/runner/live_grayscale/mediamtx.yml @@ -0,0 +1,30 @@ +# Bridges stock bluenviron mediamtx → BYOC gateway, no Livepeer fork needed. +# See go-livepeer byoc/stream_gateway.go:StartStreamRTMPIngest. + +# Gateway hits the API from another container for stream-exists checks and +# input kicks; default ACL is localhost-only and would 401. +api: yes +authInternalUsers: + - user: any + pass: + ips: [] + permissions: + - action: publish + - action: read + - action: playback + - action: api + +paths: + # Egress paths the gateway publishes to (-out). Skip the ingest + # hook — gateway is the publisher, not an external client, and would + # 404 looking these up. + '~.*-out$': + runOnReadyRestart: no + all_others: + # No shell in the image, so curl is invoked directly (no `sh -c`). + runOnReady: > + curl -fsS -X POST + http://gateway:9935/process/stream/$MTX_PATH/rtmp + -F source_id=$MTX_SOURCE_ID + -F source_type=$MTX_SOURCE_TYPE + runOnReadyRestart: no diff --git a/examples/runner/live_grayscale/pipeline.py b/examples/runner/live_grayscale/pipeline.py new file mode 100644 index 0000000..c067a23 --- /dev/null +++ b/examples/runner/live_grayscale/pipeline.py @@ -0,0 +1,25 @@ +"""Real-time grayscale filter — zeroes U/V chroma per video frame.""" + +from livepeer_gateway.runner import LivePipeline, serve +from livepeer_gateway.runner.frames import VideoFrame + + +# 128 = neutral chroma in 8-bit YUV (Y=luma, U/V=chroma offsets from 128). +_NEUTRAL_CHROMA = 128 + + +class GrayscaleFilter(LivePipeline): + """Strip chroma; output looks black-and-white.""" + + async def process_video(self, frame: VideoFrame) -> VideoFrame: + av_frame = frame.frame + if "yuv" in av_frame.format.name.lower(): + # In planar YUV the U and V planes are indices 1 and 2. + for plane_idx in (1, 2): + plane = av_frame.planes[plane_idx] + plane.update(bytes([_NEUTRAL_CHROMA]) * (plane.line_size * plane.height)) + return frame + + +if __name__ == "__main__": + serve(GrayscaleFilter()) diff --git a/examples/runner/live_grayscale/register_capability.py b/examples/runner/live_grayscale/register_capability.py new file mode 100644 index 0000000..4f25e8b --- /dev/null +++ b/examples/runner/live_grayscale/register_capability.py @@ -0,0 +1,52 @@ +"""Register the sentiment capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "sentiment") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://sentiment:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/live_grayscale/test.sh b/examples/runner/live_grayscale/test.sh new file mode 100755 index 0000000..acb62a0 --- /dev/null +++ b/examples/runner/live_grayscale/test.sh @@ -0,0 +1,109 @@ +#!/usr/bin/env bash +# E2E test for the LivePipeline real-time runner. Pushes a synthetic +# colored stream through the full BYOC stack, asserts non-empty output, +# and opens the captured grayscale clip in a video player (skip with +# SKIP_VIEWER=1 in CI). +# +# Path: ffmpeg push (RTMP) → mediamtx → gateway → orch → runner → orch → mediamtx → ffmpeg pull (RTMP) +# +# TODO: post-PR-#6, replace the gateway+mediamtx ingestion with +# `start_byoc_job` from `livepeer_gateway.byoc` (customer-flow E2E +# without the deprecated gateway endpoints). + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +OUTPUT_FILE="${OUTPUT_FILE:-/tmp/live_grayscale_output.mts}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered live-video-to-video"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# `parameters` is a stringified JSON; enable_video_{ingress,egress} drive +# trickle channel creation (go-livepeer byoc/types.go). +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{\"enable_video_ingress\":true,\"enable_video_egress\":true}","capability":"live-video-to-video","timeout_seconds":60}' \ + | base64 -w0) + +# Best-effort session cleanup; registered early to catch Ctrl-C. +# `${STREAM_ID:-}` so an early failure (before stream/start succeeded) doesn't +# trip `set -u` when the trap fires. +trap 'curl -fsS -X POST "${GATEWAY_URL}/process/stream/${STREAM_ID:-}/stop" -H "Livepeer: ${LIVEPEER_HDR}" -d "{}" >/dev/null 2>&1 || true' EXIT + +echo "Starting stream session..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/stream/start" \ + -H "Livepeer: ${LIVEPEER_HDR}" -d '{}') + +STREAM_ID=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['stream_id'])") +RTMP_IN=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_url'])") +RTMP_OUT=$(echo "${RESPONSE}" | python3 -c "import json,sys; print(json.load(sys.stdin)['rtmp_output_url'].split(',')[0])") +echo " stream_id=${STREAM_ID}" +echo " rtmp_in =${RTMP_IN}" +echo " rtmp_out=${RTMP_OUT}" + +# Gateway URLs use docker-DNS name `mediamtx`, only resolvable inside compose. +RTMP_IN="${RTMP_IN/mediamtx:/localhost:}" +RTMP_OUT="${RTMP_OUT/mediamtx:/localhost:}" + +# Push synthetic testsrc into the gateway. `-g 30` = 1s GOP (else first +# segment lags 8s+); duration outlasts cold-start; `/dev/null & +PUSH_PID=$! + +# Retry until mediamtx serves egress; low-latency flags = faster first packet. +echo -n "Pulling processed stream" +PULL_OK=0 +for _ in $(seq 1 "${RETRIES:-20}"); do + if ffmpeg -y -loglevel error \ + -fflags nobuffer -flags low_delay \ + -probesize 32 -analyzeduration 0 \ + -i "${RTMP_OUT}" -t 5 -c:v copy "${OUTPUT_FILE}" /dev/null; then + echo " ok." + PULL_OK=1 + break + fi + echo -n "." + sleep 2 +done + +# SIGINT (not SIGTERM/SIGKILL) lets ffmpeg flush its RTMP trailer cleanly. +kill -INT ${PUSH_PID} 2>/dev/null || true +wait ${PUSH_PID} 2>/dev/null || true + +if [ ${PULL_OK} -ne 1 ]; then + echo + echo "FAIL: pull never succeeded after retries" + exit 1 +fi + +if [ ! -s "${OUTPUT_FILE}" ]; then + echo "FAIL: no bytes received from gateway egress" + exit 1 +fi + +# Verify chroma ≈ 128 (else a no-op passthrough would also pass). +IFS=, read -r U V < <(ffprobe -v error -f lavfi -i "movie=${OUTPUT_FILE},signalstats" \ + -show_entries frame_tags=lavfi.signalstats.UAVG,lavfi.signalstats.VAVG \ + -of csv=p=0 -read_intervals "%+#1") +awk -v u="${U:-0}" -v v="${V:-0}" 'BEGIN { exit !(u>123 && u<133 && v>123 && v<133) }' \ + || { echo "FAIL: chroma not zeroed (U=${U} V=${V}, expected ≈128)"; exit 1; } + +OUTPUT_SIZE=$(stat -c %s "${OUTPUT_FILE}" 2>/dev/null || stat -f %z "${OUTPUT_FILE}") +echo "PASS (${OUTPUT_SIZE} bytes, U=${U} V=${V} → ${OUTPUT_FILE})" + +# Open in ffplay (skipped in non-TTY or via SKIP_VIEWER=1). +if [ -t 1 ] && [ "${SKIP_VIEWER:-0}" != "1" ]; then + echo "Opening captured clip..." + ffplay -loglevel error -window_title "live_grayscale (captured)" \ + -x 640 -y 480 -autoexit "${OUTPUT_FILE}" +fi diff --git a/examples/runner/llm/Dockerfile b/examples/runner/llm/Dockerfile new file mode 100644 index 0000000..4645671 --- /dev/null +++ b/examples/runner/llm/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.11-slim + +WORKDIR /app + +# SDK install (in-repo source until livepeer-gateway publishes; will collapse +# to a single `pip install livepeer-gateway` line once on PyPI). +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +# Pipeline-specific deps. The requirements.txt sets --extra-index-url to +# pull the CPU-only torch wheel (~200 MB vs ~5 GB for the CUDA variant). +COPY examples/runner/llm/requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Bake model weights at build time so setup() loads from local disk in +# milliseconds. +COPY examples/runner/llm/prepare_models.py /app/prepare_models.py +RUN python /app/prepare_models.py + +# Pipeline code last so edits don't invalidate the bake layer above. +COPY examples/runner/llm/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/llm/README.md b/examples/runner/llm/README.md new file mode 100644 index 0000000..9cda969 --- /dev/null +++ b/examples/runner/llm/README.md @@ -0,0 +1,94 @@ +# LLM chat (BYOC, streaming) + +A streaming chat capability built on +[Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) — +small enough to run on CPU. Demonstrates the SDK's SSE pattern: `predict()` +returns an iterator, the SDK detects the generator and frames each yielded +value as a Server-Sent Event. + +A `Pipeline` subclass loads the model once in `setup()`, then streams tokens +on each `POST /predict` via HuggingFace's `TextIteratorStreamer`. Registered +as a BYOC capability, called through the gateway, response flows back end-to-end. + +## Run + +```bash +docker compose up -d --wait --build +./test.sh +docker compose down +``` + +`test.sh` prints `PASS` on success. + +`prepare_models.py` bakes the model into the image at build time so +`setup()` loads from local cache in milliseconds. + +## Browse the API + +- Swagger UI: +- ReDoc: +- OpenAPI JSON: + +## What's running + +```mermaid +sequenceDiagram + autonumber + participant curl + participant gateway + participant orchestrator + participant llm as llm
(SDK container) + + curl->>gateway: POST /process/request/predict + gateway->>orchestrator: forward (Livepeer-signed) + orchestrator->>llm: POST /predict {"prompt":"..."} + loop each token + llm-->>orchestrator: data: {"token":"..."} + orchestrator-->>gateway: data: {"token":"..."} + gateway-->>curl: data: {"token":"..."} + end + llm-->>orchestrator: data: [DONE] + orchestrator-->>gateway: data: [DONE] + gateway-->>curl: data: [DONE] +``` + +Four compose services: + +| Service | What it is | +| ------------------------- | ---------------------------------------------------------------------------------------------------------------- | +| `gateway`, `orchestrator` | `livepeer/go-livepeer:master` from Docker Hub | +| `llm` | The pipeline container — runs the model in-process, streams tokens via `TextIteratorStreamer` | +| `register_capability` | One-shot helper that registers the `llm` capability once the pipeline is healthy | + +## Streaming contract + +`predict()` returns `Iterator[ChatChunk]`. The SDK detects the generator and +wraps the response with `Content-Type: text/event-stream`. Each yielded +`ChatChunk` becomes an SSE event, terminated by `[DONE]`: + +```text +data: {"token": "Hello"} + +data: {"token": " world"} + +data: [DONE] + +``` + +Both go-livepeer and the Python caller-side gateway watch for `[DONE]` to +end the stream. + +## Try it yourself + +```bash +LIVEPEER_HDR=$(printf '%s' \ + '{"request":"{}","parameters":"{}","capability":"llm","timeout_seconds":120}' \ + | base64 -w0) + +curl -N -X POST http://localhost:9935/process/request/predict \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H 'Content-Type: application/json' \ + -d '{"prompt":"Tell me a joke"}' +``` + +`-N` disables curl's output buffering so each token arrives as it's generated. diff --git a/examples/runner/llm/docker-compose.yml b/examples/runner/llm/docker-compose.yml new file mode 100644 index 0000000..55cd7c5 --- /dev/null +++ b/examples/runner/llm/docker-compose.yml @@ -0,0 +1,78 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + ports: + - "9935:9935" + depends_on: + - orchestrator + + llm: + build: + context: ../../.. + dockerfile: examples/runner/llm/Dockerfile + container_name: llm + ports: + - "5000:5000" + # Healthcheck waits for setup() to finish loading the model before the + # orchestrator can route requests here. + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()"] + interval: 5s + timeout: 5s + retries: 30 + start_period: 60s + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: llm + CAPABILITY_URL: http://llm:5000 + depends_on: + llm: + condition: service_healthy + orchestrator: + condition: service_started + +networks: + default: + name: livepeer diff --git a/examples/runner/llm/pipeline.py b/examples/runner/llm/pipeline.py new file mode 100644 index 0000000..7d05006 --- /dev/null +++ b/examples/runner/llm/pipeline.py @@ -0,0 +1,62 @@ +"""LLM chat BYOC pipeline using HuggingFace transformers. Streams tokens via SSE.""" + +from threading import Thread +from typing import Iterator + +from pydantic import BaseModel, Field +from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer + +from livepeer_gateway.runner import Pipeline, serve + + +class ChatInput(BaseModel): + prompt: str = Field(description="User message") + system: str = Field(default="You are a helpful assistant.", description="System prompt") + max_tokens: int = Field(default=256, ge=1, le=1024, description="Max tokens to generate") + + +class ChatChunk(BaseModel): + token: str + + +class ChatPipeline(Pipeline): + def setup(self): + # Loads from local HF cache populated at Docker build time. + model_id = "Qwen/Qwen2.5-0.5B-Instruct" + self.tokenizer = AutoTokenizer.from_pretrained(model_id) + self.model = AutoModelForCausalLM.from_pretrained(model_id) + + def predict(self, params: ChatInput) -> Iterator[ChatChunk]: + messages = [ + {"role": "system", "content": params.system}, + {"role": "user", "content": params.prompt}, + ] + # Two-step (template → text → tokenize) avoids a BatchEncoding + # wrapper that model.generate() can't unpack. + text = self.tokenizer.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True + ) + inputs = self.tokenizer(text, return_tensors="pt") + + # TextIteratorStreamer feeds tokens into a thread-safe queue as the + # model generates them. We drive .generate() in a background thread + # so this generator can yield chunks as they arrive. + streamer = TextIteratorStreamer( + self.tokenizer, skip_prompt=True, skip_special_tokens=True + ) + Thread( + target=self.model.generate, + kwargs={ + **inputs, + "max_new_tokens": params.max_tokens, + "streamer": streamer, + }, + ).start() + + for chunk in streamer: + if chunk: + yield ChatChunk(token=chunk) + + +if __name__ == "__main__": + serve(ChatPipeline()) diff --git a/examples/runner/llm/prepare_models.py b/examples/runner/llm/prepare_models.py new file mode 100644 index 0000000..28b4292 --- /dev/null +++ b/examples/runner/llm/prepare_models.py @@ -0,0 +1,11 @@ +"""Download model weights into the local HF cache at build time. + +Invoked by the Dockerfile so ``setup()`` loads from local disk in +milliseconds instead of pulling from HF Hub on every container start. +""" + +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_id = "Qwen/Qwen2.5-0.5B-Instruct" +AutoTokenizer.from_pretrained(model_id) +AutoModelForCausalLM.from_pretrained(model_id) diff --git a/examples/runner/llm/register_capability.py b/examples/runner/llm/register_capability.py new file mode 100644 index 0000000..3fb4d22 --- /dev/null +++ b/examples/runner/llm/register_capability.py @@ -0,0 +1,52 @@ +"""Register the llm capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "llm") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://llm:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/llm/requirements.txt b/examples/runner/llm/requirements.txt new file mode 100644 index 0000000..f13a349 --- /dev/null +++ b/examples/runner/llm/requirements.txt @@ -0,0 +1,4 @@ +--extra-index-url https://download.pytorch.org/whl/cpu + +transformers +torch diff --git a/examples/runner/llm/test.sh b/examples/runner/llm/test.sh new file mode 100755 index 0000000..0d848e2 --- /dev/null +++ b/examples/runner/llm/test.sh @@ -0,0 +1,41 @@ +#!/usr/bin/env bash +# E2E: send a chat request through the gateway, assert the LLM streams +# tokens back via SSE and terminates with [DONE]. + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +PROMPT="${PROMPT:-Say hello in three words}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered llm"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# TODO: swap curl for a livepeer_gateway batch caller (post PR #6) — drops +# the gateway service from compose. +LIVEPEER_HDR=$(printf '%s' '{"request":"{}","parameters":"{}","capability":"llm","timeout_seconds":120}' | base64 -w0) + +echo "Sending chat request through gateway (streaming)..." +# -N disables curl output buffering so chunks arrive as they're generated. +RESPONSE=$(curl -fsSN -X POST "${GATEWAY_URL}/process/request/predict" \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d "{\"prompt\":\"${PROMPT}\"}") + +echo "Response (first events):" +echo "${RESPONSE}" | head -10 + +# Verify SSE format: at least one token event + the [DONE] terminator. +if echo "${RESPONSE}" | grep -q '^data: {"token":' \ + && echo "${RESPONSE}" | grep -q '^data: \[DONE\]'; then + echo "PASS" + exit 0 +fi + +echo "FAIL: expected token events and [DONE] terminator" +exit 1 diff --git a/examples/runner/sentiment/Dockerfile b/examples/runner/sentiment/Dockerfile new file mode 100644 index 0000000..6a12b5b --- /dev/null +++ b/examples/runner/sentiment/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.11-slim + +WORKDIR /app + +# SDK install (in-repo source until livepeer-gateway publishes; will collapse +# to a single `pip install livepeer-gateway` line once on PyPI). +COPY pyproject.toml README ./ +COPY src /app/src +RUN pip install --no-cache-dir /app + +# Pipeline-specific deps. The requirements.txt sets --extra-index-url to +# pull the CPU-only torch wheel (~200 MB vs ~5 GB for the CUDA variant). +COPY examples/runner/sentiment/requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Bake model weights at build time so setup() loads from local disk in +# milliseconds. +COPY examples/runner/sentiment/prepare_models.py /app/prepare_models.py +RUN python /app/prepare_models.py + +# Pipeline code last so edits don't invalidate the bake layer above. +COPY examples/runner/sentiment/pipeline.py /app/pipeline.py + +EXPOSE 5000 + +CMD ["python", "/app/pipeline.py"] diff --git a/examples/runner/sentiment/README.md b/examples/runner/sentiment/README.md new file mode 100644 index 0000000..3686a3a --- /dev/null +++ b/examples/runner/sentiment/README.md @@ -0,0 +1,75 @@ +# Sentiment analysis (BYOC) + +A Hugging Face sentiment classifier shipped as a BYOC capability. Demonstrates +the `setup()` lifecycle hook for one-time model loading. Built on +[distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) — small enough to run on CPU. + +A `Pipeline` subclass loads the model once in `setup()`, then classifies text +on each `POST /predict`. Registered as a BYOC capability, called through the +gateway, response flows back end-to-end. + +## Run + +```bash +docker compose up -d --wait +./test.sh +docker compose down +``` + +`test.sh` prints `PASS` on success. + +`prepare_models.py` bakes the model into the image at build time so +`setup()` loads from local cache in milliseconds. + +## Browse the API + +- Swagger UI: +- ReDoc: +- OpenAPI JSON: + +## What's running + +```mermaid +sequenceDiagram + autonumber + participant curl + participant gateway + participant orchestrator + participant sentiment as sentiment
(SDK container) + + curl->>gateway: POST /process/request/predict + gateway->>orchestrator: forward (Livepeer-signed) + orchestrator->>sentiment: POST /predict {"text":"..."} + sentiment-->>orchestrator: {"label":"POSITIVE","score":0.99,...} + orchestrator-->>gateway: response + gateway-->>curl: response +``` + +Four compose services: + +| Service | What it is | +| ------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `gateway`, `orchestrator` | `livepeer/go-livepeer:master` from Docker Hub | +| `sentiment` | The pipeline container — a [BYOC](https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md) capability built with `livepeer_gateway.runner`. Loads the HF model in `setup()`. | +| `register_capability` | One-shot helper that POSTs to `orchestrator:8935/capability/register` once `sentiment` is healthy | + +The sentiment service has a healthcheck that probes `GET /health` until the +model finishes loading. `register_capability` waits on `service_healthy`, so +the orchestrator never sees a "registered but not loaded" container. + +## Try variations + +```bash +TEXT="this is awful" EXPECTED_LABEL=NEGATIVE ./test.sh +``` + +Or manually: + +```bash +LIVEPEER_HDR=$(printf '%s' '{"request":"{}","parameters":"{}","capability":"sentiment","timeout_seconds":30}' | base64 -w0) + +curl -X POST http://localhost:9935/process/request/predict \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d '{"text":"distributed inference is the future"}' +``` diff --git a/examples/runner/sentiment/docker-compose.yml b/examples/runner/sentiment/docker-compose.yml new file mode 100644 index 0000000..c474216 --- /dev/null +++ b/examples/runner/sentiment/docker-compose.yml @@ -0,0 +1,79 @@ +services: + # Mirrors go-livepeer/doc/byoc.md: on-chain mode against a public Arbitrum + # RPC, but `pricePerUnit 0` keeps the registration free — no balance ever + # leaves the auto-generated keystore. No real chain interaction occurs. + # + # TODO: once livepeer/go-livepeer#3906 ships in :master, drop -network / + # -ethUrl / -ethPassword and run with bare `-network offchain`. Tracked + # in livepeer/go-livepeer#3905. + + orchestrator: + image: livepeer/go-livepeer:master + container_name: orchestrator + command: > + -network arbitrum-one-mainnet + -orchestrator + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -pricePerUnit 0 + -serviceAddr=orchestrator:8935 + -orchSecret=orch-secret + -v 6 + + gateway: + image: livepeer/go-livepeer:master + container_name: gateway + command: > + -network arbitrum-one-mainnet + -gateway + -ethUrl https://arb1.arbitrum.io/rpc + -ethPassword secret-password + -orchAddr=orchestrator:8935 + -httpAddr=0.0.0.0:9935 + -httpIngest + -v 6 + ports: + - "9935:9935" + depends_on: + - orchestrator + + sentiment: + build: + context: ../../.. + dockerfile: examples/runner/sentiment/Dockerfile + container_name: sentiment + ports: + - "5000:5000" + # Healthcheck waits for setup() to finish loading the model before the + # orchestrator can route requests here. Without this, register_capability + # could complete and the test could fire before the model is loaded. + healthcheck: + test: ["CMD", "python", "-c", + "import urllib.request; urllib.request.urlopen('http://localhost:5000/health').read()"] + interval: 5s + timeout: 5s + retries: 30 + start_period: 60s + depends_on: + - orchestrator + + register_capability: + image: python:3.11-slim + container_name: register_capability + command: sh -c "pip install --quiet requests && python /app/register_capability.py" + volumes: + - ./register_capability.py:/app/register_capability.py:ro + environment: + ORCH_URL: https://orchestrator:8935 + ORCH_SECRET: orch-secret + CAPABILITY_NAME: sentiment + CAPABILITY_URL: http://sentiment:5000 + depends_on: + sentiment: + condition: service_healthy + orchestrator: + condition: service_started + +networks: + default: + name: livepeer diff --git a/examples/runner/sentiment/pipeline.py b/examples/runner/sentiment/pipeline.py new file mode 100644 index 0000000..a0fedde --- /dev/null +++ b/examples/runner/sentiment/pipeline.py @@ -0,0 +1,39 @@ +"""Sentiment-analysis BYOC pipeline. Run via ``docker compose up`` — see README.md.""" + +from typing import Literal + +from pydantic import BaseModel, Field +from transformers import pipeline as hf_pipeline + +from livepeer_gateway.runner import Pipeline, serve + + +class SentimentInput(BaseModel): + text: str = Field(description="Text to classify", examples=["I love this!"]) + + +class SentimentOutput(BaseModel): + label: Literal["POSITIVE", "NEGATIVE"] + score: float = Field(ge=0.0, le=1.0) + text: str + + +class SentimentAnalyzer(Pipeline): + def setup(self): + # Loads from local HF cache populated at Docker build time. + self.model = hf_pipeline( + "sentiment-analysis", + model="distilbert-base-uncased-finetuned-sst-2-english", + ) + + def predict(self, params: SentimentInput) -> SentimentOutput: + result = self.model(params.text)[0] + return SentimentOutput( + label=result["label"], + score=float(result["score"]), + text=params.text, + ) + + +if __name__ == "__main__": + serve(SentimentAnalyzer()) diff --git a/examples/runner/sentiment/prepare_models.py b/examples/runner/sentiment/prepare_models.py new file mode 100644 index 0000000..dec0b19 --- /dev/null +++ b/examples/runner/sentiment/prepare_models.py @@ -0,0 +1,12 @@ +"""Download model weights into the local HF cache at build time. + +Invoked by the Dockerfile so ``setup()`` loads from local disk in +milliseconds instead of pulling from HF Hub on every container start. +""" + +from transformers import pipeline + +pipeline( + "sentiment-analysis", + model="distilbert-base-uncased-finetuned-sst-2-english", +) diff --git a/examples/runner/sentiment/register_capability.py b/examples/runner/sentiment/register_capability.py new file mode 100644 index 0000000..4f25e8b --- /dev/null +++ b/examples/runner/sentiment/register_capability.py @@ -0,0 +1,52 @@ +"""Register the sentiment capability with the orchestrator. + +Wire format follows +https://github.com/livepeer/go-livepeer/blob/main/doc/byoc.md +(handler in ``byoc/job_orchestrator.go``). +""" + +import os +import sys +import time + +import requests +import urllib3 + +# Orchestrator's HTTPS endpoint uses a self-signed cert. +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) + +ORCH_URL = os.environ.get("ORCH_URL", "https://orchestrator:8935") +ORCH_SECRET = os.environ.get("ORCH_SECRET", "orch-secret") +CAPABILITY_NAME = os.environ.get("CAPABILITY_NAME", "sentiment") +CAPABILITY_URL = os.environ.get("CAPABILITY_URL", "http://sentiment:5000") +MAX_ATTEMPTS = int(os.environ.get("MAX_ATTEMPTS", "30")) + +data = { + "name": CAPABILITY_NAME, + "url": CAPABILITY_URL, + "capacity": 1, + "price_per_unit": 0, + "price_scaling": 1, + "currency": "wei", +} +headers = {"Authorization": ORCH_SECRET} + +for attempt in range(1, MAX_ATTEMPTS + 1): + try: + r = requests.post( + f"{ORCH_URL}/capability/register", + json=data, + headers=headers, + verify=False, + timeout=5, + ) + if r.status_code == 200: + print(f"registered {CAPABILITY_NAME} -> {CAPABILITY_URL}") + sys.exit(0) + print(f"attempt {attempt}: status={r.status_code} body={r.text!r}") + except Exception as exc: + print(f"attempt {attempt}: {exc}") + time.sleep(2) + +print("registration failed after timeout") +sys.exit(1) diff --git a/examples/runner/sentiment/requirements.txt b/examples/runner/sentiment/requirements.txt new file mode 100644 index 0000000..f13a349 --- /dev/null +++ b/examples/runner/sentiment/requirements.txt @@ -0,0 +1,4 @@ +--extra-index-url https://download.pytorch.org/whl/cpu + +transformers +torch diff --git a/examples/runner/sentiment/test.sh b/examples/runner/sentiment/test.sh new file mode 100755 index 0000000..8254556 --- /dev/null +++ b/examples/runner/sentiment/test.sh @@ -0,0 +1,38 @@ +#!/usr/bin/env bash +# E2E: send a request through the gateway, assert the SentimentAnalyzer +# response (label + score) comes back through the orchestrator. + +set -euo pipefail +cd "$(dirname "$0")" + +GATEWAY_URL="${GATEWAY_URL:-http://localhost:9935}" +TEXT="${TEXT:-Livepeer makes decentralized inference effortless}" +EXPECTED_LABEL="${EXPECTED_LABEL:-POSITIVE}" + +echo "Waiting for capability registration..." +if ! docker logs register_capability 2>&1 | grep -q "registered sentiment"; then + echo "FAIL: register_capability hasn't logged success." + echo "Make sure 'docker compose up -d --wait --build' completed first." + exit 1 +fi +echo " registered." + +# TODO: swap curl for a livepeer_gateway batch caller (post PR #6) — drops +# the gateway service from compose. +LIVEPEER_HDR=$(printf '%s' '{"request":"{}","parameters":"{}","capability":"sentiment","timeout_seconds":30}' | base64 -w0) + +echo "Sending request through gateway..." +RESPONSE=$(curl -fsS -X POST "${GATEWAY_URL}/process/request/predict" \ + -H "Livepeer: ${LIVEPEER_HDR}" \ + -H "Content-Type: application/json" \ + -d "{\"text\":\"${TEXT}\"}") + +echo "Response: ${RESPONSE}" + +if echo "${RESPONSE}" | grep -qE "\"label\"[[:space:]]*:[[:space:]]*\"${EXPECTED_LABEL}\""; then + echo "PASS" + exit 0 +fi + +echo "FAIL" +exit 1 diff --git a/pyproject.toml b/pyproject.toml index e62db86..fc8260a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,6 +11,8 @@ dependencies = [ "protobuf>=4.25.0", "aiohttp>=3.9.0", "av>=11.0.0", + "fastapi>=0.115.0", + "uvicorn[standard]>=0.30.0", ] [project.scripts] diff --git a/src/livepeer_gateway/runner/__init__.py b/src/livepeer_gateway/runner/__init__.py new file mode 100644 index 0000000..20a97db --- /dev/null +++ b/src/livepeer_gateway/runner/__init__.py @@ -0,0 +1,8 @@ +"""Pipeline SDK for creating BYOC-compatible AI capabilities from a simple Python class. +""" + +from .live_pipeline import LivePipeline +from .pipeline import Pipeline, PipelineState +from .serve import make_app, serve + +__all__ = ["LivePipeline", "Pipeline", "PipelineState", "make_app", "serve"] diff --git a/src/livepeer_gateway/runner/frames.py b/src/livepeer_gateway/runner/frames.py new file mode 100644 index 0000000..7835ad3 --- /dev/null +++ b/src/livepeer_gateway/runner/frames.py @@ -0,0 +1,12 @@ +"""User-facing frame types for ``LivePipeline``. + +Importing this submodule pulls in PyAV (via ``media_decode``). Pipeline +authors who override ``process_video`` / ``process_audio`` opt in to that +cost by importing here; ``from livepeer_gateway.runner import LivePipeline`` +alone stays PyAV-free for batch ``Pipeline`` users. +""" + +from ..media_decode import AudioDecodedMediaFrame as AudioFrame +from ..media_decode import VideoDecodedMediaFrame as VideoFrame + +__all__ = ["AudioFrame", "VideoFrame"] diff --git a/src/livepeer_gateway/runner/live_pipeline.py b/src/livepeer_gateway/runner/live_pipeline.py new file mode 100644 index 0000000..6b11087 --- /dev/null +++ b/src/livepeer_gateway/runner/live_pipeline.py @@ -0,0 +1,300 @@ +from __future__ import annotations + +import asyncio +import json +import logging +import time +from typing import TYPE_CHECKING, Any + +from pydantic import BaseModel, ConfigDict + +from ..trickle_publisher import TricklePublisher +from ..trickle_subscriber import TrickleSubscriber +from .pipeline import PipelineState + +if TYPE_CHECKING: + # Gated to keep PyAV out of the import path for batch Pipeline users. + from .frames import AudioFrame, VideoFrame + + +_LOG = logging.getLogger(__name__) + +# 10s under the gateway's 30s events-gap watchdog (byoc/trickle.go: maxEventGap). +_HEARTBEAT_INTERVAL_S = 10 + +# cancel-then-wait bound; tasks beyond this are left to finish in the background +_STOP_TIMEOUT_S = 5.0 + + +class StreamStartRequest(BaseModel): + """Body of ``POST /stream/start`` — sent by the orchestrator. + + `subscribe_url`, `publish_url`, `data_url` are absent when the orchestrator + has the corresponding `EnableVideoIngress` / `EnableVideoEgress` / + `EnableDataOutput` flag disabled — the runner must tolerate any subset. + """ + + model_config = ConfigDict(extra="allow") + + gateway_request_id: str + control_url: str + events_url: str + subscribe_url: str | None = None + publish_url: str | None = None + data_url: str | None = None + params: dict[str, Any] | None = None # null when caller sent no params + + +class StreamParamsRequest(BaseModel): + """Body of ``POST /stream/params`` — passthrough JSON params from the caller.""" + + model_config = ConfigDict(extra="allow") + + +class _LiveSession: + """Per-session state held in `LivePipeline._session`. + + Constructed on `/stream/start`, cleared on `/stream/stop`. + """ + + def __init__( + self, + *, + gateway_request_id: str, + events_url: str, + subscribe_url: str | None, + publish_url: str | None, + data_url: str | None, + params: dict[str, Any] | None, + ) -> None: + self.gateway_request_id = gateway_request_id + self.events_url = events_url + self.subscribe_url = subscribe_url + self.publish_url = publish_url + self.data_url = data_url + self.params: dict[str, Any] = params or {} + self.events_publisher: TricklePublisher | None = None + self.data_publisher: TricklePublisher | None = None + self.task: asyncio.Task[None] | None = None + self.heartbeat_task: asyncio.Task[None] | None = None + + async def cancel_tasks(self) -> None: + """Cancel the heartbeat + frame-loop tasks; leave publishers open.""" + if self.heartbeat_task and not self.heartbeat_task.done(): + self.heartbeat_task.cancel() + try: + await asyncio.wait_for(self.heartbeat_task, timeout=_STOP_TIMEOUT_S) + except (asyncio.TimeoutError, asyncio.CancelledError): + pass + except Exception: + _LOG.exception("LivePipeline heartbeat task ended with error") + if self.task and not self.task.done(): + self.task.cancel() + try: + await asyncio.wait_for(self.task, timeout=_STOP_TIMEOUT_S) + except asyncio.TimeoutError: + _LOG.warning( + "LivePipeline session task did not terminate within %.1fs", + _STOP_TIMEOUT_S, + ) + except asyncio.CancelledError: + pass + except Exception: + _LOG.exception("LivePipeline session task ended with error") + + async def close_publishers(self) -> None: + """Close events + data publishers. Call after user cleanup runs.""" + for label, pub in ( + ("events", self.events_publisher), + ("data", self.data_publisher), + ): + if pub is None: + continue + try: + await pub.close() + except Exception: + _LOG.warning( + "LivePipeline %s_publisher close failed", label, exc_info=True + ) + + async def close(self) -> None: + """Tear down everything. Idempotent and tolerant of partial setup.""" + await self.cancel_tasks() + await self.close_publishers() + + +class LivePipeline: + """Base class for real-time A/V pipelines on the BYOC trickle protocol. + + Subclasses override any of the lifecycle / processing hooks below. + A subclass that overrides nothing is a valid passthrough relay. + """ + + _state: PipelineState = PipelineState.LOADING + # Single-session for now; multi-session is post-C8 (capacity demand-driven). + _session: _LiveSession | None = None + + def setup(self) -> None: + """Hook called once before serve() accepts requests. + + Sync, container-init time. Override to load model weights, warm up GPUs. + """ + + async def on_stream_start(self, params: dict[str, Any]) -> None: + """Called when a new stream session begins, before the first frame. + + `params` is the initial pipeline params from the caller. + """ + + async def process_video(self, frame: VideoFrame) -> VideoFrame: + """Transform one decoded video frame. Default: passthrough.""" + return frame + + async def process_audio(self, frame: AudioFrame) -> AudioFrame: + """Transform one decoded audio frame. Default: passthrough.""" + return frame + + async def on_params_update(self, params: dict[str, Any]) -> None: + """Called when the caller posts new params mid-stream.""" + + async def on_stream_stop(self) -> None: + """Called when the stream session ends — for per-session cleanup.""" + + async def emit_event(self, payload: dict[str, Any]) -> None: + """Publish a JSON event on the events trickle channel. + + Use for telemetry, lifecycle signals, or runner-side observability: + + await self.emit_event({"type": "model_loaded", "version": "v1.2"}) + + No-op outside an active session. + """ + session = self._session + if session is None or session.events_publisher is None: + return + await _publish_json(session.events_publisher, payload, "emit_event") + + async def emit_data(self, payload: dict[str, Any]) -> None: + """Publish a JSON record on the data trickle channel. + + Use for structured pipeline output the caller subscribes to (e.g. + transcripts, detections, classification results): + + await self.emit_data({"text": segment.text, "start_ms": ...}) + + No-op outside an active session. + """ + session = self._session + if session is None or session.data_publisher is None: + return + await _publish_json(session.data_publisher, payload, "emit_data") + + +async def _publish_json( + publisher: TricklePublisher, payload: dict[str, Any], context: str +) -> None: + """Write a JSON object as one trickle segment. Errors are logged, not raised.""" + try: + async with await publisher.next() as writer: + await writer.write(json.dumps(payload).encode()) + except Exception: + _LOG.warning("%s publish failed", context, exc_info=True) + + +async def _run_heartbeat_loop(pipeline: LivePipeline) -> None: + """Publish a heartbeat to events_url every `_HEARTBEAT_INTERVAL_S`. + + Without this, the gateway's 30s events-gap watchdog kills the session. + Per-publish errors are logged but don't kill the loop. + """ + session = pipeline._session + if session is None or session.events_publisher is None: + return + pub = session.events_publisher + try: + while True: + await _publish_json( + pub, + {"type": "heartbeat", "timestamp": int(time.time() * 1000)}, + "heartbeat", + ) + await asyncio.sleep(_HEARTBEAT_INTERVAL_S) + except asyncio.CancelledError: + return + + +def _has_user_processing(pipeline: LivePipeline) -> bool: + """True if the pipeline overrides ``process_video`` or ``process_audio``. + + Used by ``/stream/start`` to pick the cheap bytes path when nothing's + being transformed; otherwise the full decode → user → encode loop runs. + """ + cls = type(pipeline) + return ( + cls.process_video is not LivePipeline.process_video + or cls.process_audio is not LivePipeline.process_audio + ) + + +async def _run_passthrough(subscribe_url: str, publish_url: str) -> None: + """Forward bytes from a subscribe URL to a publish URL, unmodified. + + Each inbound trickle segment becomes one outbound segment (1:1) — never + merged or split, so downstream consumers see the same segment count and + ordering as the upstream sender. Returns when the subscribe channel ends + (orchestrator deletes it → 404 from the trickle server), or when the + task is cancelled / either side raises. + """ + sub = TrickleSubscriber(subscribe_url) + try: + # MIME must match go-livepeer's publish channel (stream_orchestrator.go). + async with TricklePublisher(publish_url, mime_type="video/MP2T") as pub: + while True: + segment = await sub.next() + if segment is None: # EOS — channel ended + return + try: + reader = segment.make_reader() + async with await pub.next() as writer: + while True: + chunk = await reader.read() + if not chunk: + break + await writer.write(chunk) + finally: + await segment.close() + finally: + await sub.close() + + +async def _run_frame_loop(pipeline: LivePipeline) -> None: + """Decode → user transform → encode loop. + + Per-frame errors drop the frame and continue; subscribe/publish errors + end the session. + """ + # Lazy import: defers PyAV until a pipeline actually needs the frame loop. + from ..media_decode import VideoDecodedMediaFrame + from ..media_output import MediaOutput + from ..media_publish import MediaPublish + + session = pipeline._session # set by serve.py before scheduling. + + async with MediaOutput(session.subscribe_url) as media_output: + media_publish = MediaPublish(session.publish_url) + try: + async for decoded in media_output.frames(): + is_video = isinstance(decoded, VideoDecodedMediaFrame) + try: + if is_video: + result = await pipeline.process_video(decoded) + else: + result = await pipeline.process_audio(decoded) + except Exception: + method = "process_video" if is_video else "process_audio" + _LOG.exception("LivePipeline %s failed", method) + continue + if result is not None: + await media_publish.write_frame(result.frame) + finally: + await media_publish.close() diff --git a/src/livepeer_gateway/runner/pipeline.py b/src/livepeer_gateway/runner/pipeline.py new file mode 100644 index 0000000..cc00aea --- /dev/null +++ b/src/livepeer_gateway/runner/pipeline.py @@ -0,0 +1,35 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod +from enum import Enum +from typing import Any + + +class PipelineState(str, Enum): + """Wire-level health state — matches go-livepeer's HealthCheckStatus.""" + + LOADING = "LOADING" + OK = "OK" + ERROR = "ERROR" + IDLE = "IDLE" + + +class Pipeline(ABC): + """Base class for batch inference pipelines.""" + + _state: PipelineState = PipelineState.LOADING + + def setup(self) -> None: + """Hook called once before serve() accepts requests. + + Override to load model weights, warm up GPUs, allocate buffers. + Default: no-op for stateless pipelines. + """ + + @abstractmethod + def predict(self, **kwargs: Any) -> Any: + """Run one inference; kwargs are the JSON request body fields. + + Return any JSON-serialisable value, or raise to signal an error. + """ + ... diff --git a/src/livepeer_gateway/runner/serve.py b/src/livepeer_gateway/runner/serve.py new file mode 100644 index 0000000..03be220 --- /dev/null +++ b/src/livepeer_gateway/runner/serve.py @@ -0,0 +1,266 @@ +import asyncio +import inspect +import json +import logging +from typing import Any, Iterator + +import uvicorn +from fastapi import FastAPI, HTTPException +from fastapi.responses import StreamingResponse +from pydantic import BaseModel, create_model + +from ..trickle_publisher import TricklePublisher +from .live_pipeline import ( + LivePipeline, + StreamParamsRequest, + StreamStartRequest, + _has_user_processing, + _LiveSession, + _run_frame_loop, + _run_heartbeat_loop, + _run_passthrough, +) +from .pipeline import Pipeline, PipelineState + +_LOG = logging.getLogger(__name__) + + +class HealthResponse(BaseModel): + """Response shape for ``GET /health`` — matches go-livepeer's HealthCheck.""" + + status: PipelineState + + +def _is_basemodel(t: Any) -> bool: + return isinstance(t, type) and issubclass(t, BaseModel) + + +def _build_input_model(predict_fn: Any, owner_name: str) -> tuple[type[BaseModel], bool]: + """Inspect predict()'s signature; return (InputModel, is_explicit_basemodel). + + If predict() takes a single ``BaseModel`` parameter, use it directly. + Otherwise build a model from the bare parameters via ``create_model``. + """ + sig = inspect.signature(predict_fn) + params = [param for param in sig.parameters.values() if param.name != "self"] + + if len(params) == 1 and _is_basemodel(params[0].annotation): + return params[0].annotation, True + + fields: dict[str, tuple[Any, Any]] = {} + for param in params: + annotation = param.annotation if param.annotation is not inspect.Parameter.empty else Any + default = param.default if param.default is not inspect.Parameter.empty else ... + fields[param.name] = (annotation, default) + + return create_model(f"{owner_name}Input", **fields), False + + +def _format_sse(generator: Iterator[Any]) -> Iterator[bytes]: + """Frame yielded values as SSE events with [DONE] terminator. + + Required by go-livepeer and the Python caller-side gateway. + """ + try: + for chunk in generator: + payload = chunk.model_dump_json() if isinstance(chunk, BaseModel) else json.dumps(chunk) + yield f"data: {payload}\n\n".encode() + except Exception: + _LOG.exception("Pipeline predict() generator failed") + yield b'data: {"error": "internal error"}\n\n' + yield b"data: [DONE]\n\n" + + +def _build_predict_handler( + pipeline: Pipeline, + InputModel: type[BaseModel], + OutputModel: type[BaseModel] | None, + explicit_basemodel: bool, + is_generator: bool, +): + def handler(body: InputModel): + try: + if explicit_basemodel: + result = pipeline.predict(body) + else: + result = pipeline.predict(**body.model_dump()) + except HTTPException: + raise + except Exception: + _LOG.exception("Pipeline predict() failed") + raise HTTPException(status_code=500, detail="internal error") + + if is_generator: + return StreamingResponse(_format_sse(result), media_type="text/event-stream") + return result + + if OutputModel is not None and not is_generator: + handler.__annotations__["return"] = OutputModel + return handler + + +def _add_health_route(app: FastAPI, pipeline: Pipeline | LivePipeline) -> None: + @app.get("/health", summary="Liveness probe", response_model=HealthResponse) + def handle_health() -> HealthResponse: + return HealthResponse(status=pipeline._state) + + +def _run_setup(pipeline: Pipeline | LivePipeline) -> None: + pipeline._state = PipelineState.LOADING + try: + pipeline.setup() + pipeline._state = PipelineState.OK + except Exception: + pipeline._state = PipelineState.ERROR + _LOG.exception("Pipeline setup() failed") + raise + + +def _make_live_pipeline_app(pipeline: LivePipeline) -> FastAPI: + """Build a FastAPI app for a real-time ``LivePipeline``.""" + _run_setup(pipeline) + + app = FastAPI(title=type(pipeline).__name__) + app.state.pipeline = pipeline + + @app.post("/stream/start", summary="Start a stream session") + async def handle_stream_start(body: StreamStartRequest) -> dict[str, Any]: + _LOG.info("LivePipeline stream/start request_id=%s", body.gateway_request_id) + + active = pipeline._session + if active and active.task and not active.task.done(): + # Single-session for now; orchestrator shouldn't double-start. + raise HTTPException(status_code=409, detail="session already active") + + if not (body.subscribe_url and body.publish_url): + # Both directions required for video streams; data-only / event-only + # streams land in later phases. + raise HTTPException( + status_code=400, + detail="subscribe_url and publish_url required for video streams", + ) + + session = _LiveSession( + gateway_request_id=body.gateway_request_id, + events_url=body.events_url, + subscribe_url=body.subscribe_url, + publish_url=body.publish_url, + data_url=body.data_url, + params=body.params, + ) + + session.events_publisher = TricklePublisher( + body.events_url, mime_type="application/json" + ) + if body.data_url: + session.data_publisher = TricklePublisher( + body.data_url, mime_type="application/json" + ) + pipeline._session = session + + # Heartbeat before frame loop so events_url has activity during cold start. + session.heartbeat_task = asyncio.create_task( + _run_heartbeat_loop(pipeline), + name=f"live-heartbeat-{body.gateway_request_id}", + ) + + try: + await pipeline.on_stream_start(session.params) + except Exception: + _LOG.exception("LivePipeline on_stream_start failed") + pipeline._session = None + await session.close() + raise HTTPException(status_code=500, detail="on_stream_start failed") + + if _has_user_processing(pipeline): + coro = _run_frame_loop(pipeline) + else: + coro = _run_passthrough(body.subscribe_url, body.publish_url) + session.task = asyncio.create_task( + coro, name=f"live-session-{body.gateway_request_id}" + ) + return {"status": "started", "gateway_request_id": body.gateway_request_id} + + @app.post("/stream/stop", summary="Stop the active stream session") + async def handle_stream_stop() -> dict[str, str]: + _LOG.info("LivePipeline stream/stop") + session = pipeline._session + if session is None: + return {"status": "stopped"} + + # Cancel tasks but keep publishers open so on_stream_stop can still emit. + await session.cancel_tasks() + + try: + await pipeline.on_stream_stop() + except Exception: + _LOG.exception("LivePipeline on_stream_stop failed") + + # Now close publishers and clear the session. + await session.close_publishers() + pipeline._session = None + return {"status": "stopped"} + + @app.post("/stream/params", summary="Update params on the active stream") + async def handle_stream_params(body: StreamParamsRequest) -> dict[str, str]: + params = body.model_dump() + _LOG.info("LivePipeline stream/params keys=%s", list(params.keys())) + if pipeline._session is not None: + pipeline._session.params = params + try: + await pipeline.on_params_update(params) + except Exception: + _LOG.exception("LivePipeline on_params_update failed") + raise HTTPException(status_code=500, detail="on_params_update failed") + return {"status": "ok"} + + _add_health_route(app, pipeline) + return app + + +def _make_pipeline_app(pipeline: Pipeline) -> FastAPI: + """Build a FastAPI app for a request/response ``Pipeline`` (HTTP `/predict`).""" + _run_setup(pipeline) + + is_generator = inspect.isgeneratorfunction(pipeline.predict) + + InputModel, explicit_basemodel = _build_input_model( + pipeline.predict, type(pipeline).__name__ + ) + return_annotation = inspect.signature(pipeline.predict).return_annotation + OutputModel = return_annotation if _is_basemodel(return_annotation) else None + + handler = _build_predict_handler( + pipeline, InputModel, OutputModel, explicit_basemodel, is_generator + ) + + app = FastAPI(title=type(pipeline).__name__) + app.state.pipeline = pipeline + + app.add_api_route( + "/predict", + handler, + methods=["POST"], + summary="Run one inference", + ) + + _add_health_route(app, pipeline) + return app + + +def make_app(pipeline: Pipeline | LivePipeline) -> FastAPI: + """Build a FastAPI app exposing ``pipeline`` over HTTP. + + Dispatches on `LivePipeline` vs `Pipeline` to register `/stream/*` + or `/predict` respectively. + """ + if isinstance(pipeline, LivePipeline): + return _make_live_pipeline_app(pipeline) + return _make_pipeline_app(pipeline) + + +def serve( + pipeline: Pipeline | LivePipeline, *, host: str = "0.0.0.0", port: int = 5000 +) -> None: + """Run the pipeline as an HTTP server on host:port.""" + uvicorn.run(make_app(pipeline), host=host, port=port) diff --git a/uv.lock b/uv.lock index 8837913..27b68bc 100644 --- a/uv.lock +++ b/uv.lock @@ -13,7 +13,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.13.3" +version = "3.13.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -24,93 +24,93 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] -sdist = { url = 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