Oleksandr Bezdieniezhnykh ff790bd639
ci/woodpecker/push/build-arm Pipeline failed
[AZ-675] telemetry_stream Tonic gRPC server + per-client lossy queue
Pins operator-link transport to gRPC server-streaming (closes
architecture Q2 in favour of gRPC). Adds first-time tonic / prost /
tonic-build infrastructure to the workspace; uses
protoc-bin-vendored so neither dev machines nor CI need system
protoc installed.

Design — back-pressure lives in the per-topic tokio::sync::broadcast
ring, drained directly by the tonic-streamed response via
BroadcastStream + StreamMap. No intermediate mpsc buffer that could
absorb back-pressure invisibly. Slow client overrun -> Lagged(n)
event -> per-(client_id, topic) drop counter incremented; healthy
clients on the same topic are unaffected.

Service surface — Subscribe(SubscribeRequest) -> stream
TelemetryMessage; five topics (TelemetrySample, GimbalState,
DetectionEvent, MovementCandidate, MapObjectsBundle); empty topics
list defaults to subscribe-all; empty client_id rejected; stream
drop decrements subscribed_clients via StreamGuard. TelemetrySink
push_detections is now real; push_frame still NotImplemented(AZ-676
video path).

Tests — 6 unit + 5 integration (AC-1..AC-3 via in-process gRPC
client, plus subscribe-all default + empty-client_id rejection).
Clippy on telemetry_stream clean.

Pre-existing mission_executor ac3 test polling race surfaces more
reliably under the new tonic build pressure; documented as
_docs/_process_leftovers/2026-05-20_mission_executor_ac3_flake.md
and unchanged by this batch.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-20 12:44:39 +03:00

autopilot

Onboard mission executor for the AZAION reconnaissance UAV. Single Rust binary; runs on NVIDIA Jetson Orin Nano Super (aarch64). See _docs/02_document/architecture.md for the authoritative system design.

Layout

crates/
  shared/                # canonical DTOs, config, error, health, observability, clock, contracts
  autopilot/             # binary crate — runtime composition root + /health endpoint
  mavlink_layer/         # hand-rolled MAVLink v2 transport
  mission_client/        # missions API REST client + MapObjects sync
  frame_ingest/          # RTSP pull + decode
  detection_client/      # bi-directional gRPC to ../detections
  movement_detector/     # ego-motion-compensated residual-motion clustering
  semantic_analyzer/     # Tier 2 — primitive graph + ROI CNN
  vlm_client/            # Tier 3 — optional NanoLLM/VILA local IPC
  mapobjects_store/      # H3-indexed on-device map + ignored items
  gimbal_controller/     # ViewPro A40 UDP control
  scan_controller/       # central typed state machine (ZoomedOut/ZoomedIn/TargetFollow)
  operator_bridge/       # POI surface + operator command authentication
  mission_executor/      # multirotor + fixed-wing FSMs + geofence + failsafe
  telemetry_stream/      # always-on uplink to Ground Station

config/                  # TOML config per environment (dev / staging / prod)
deploy/systemd/          # on-airframe native systemd unit (Option A)
fixtures/                # replay clips (RTSP, MAVLink, missions, detections)
tests/e2e/               # workspace-level blackbox scenarios
benches/                 # NFR benchmark-gate harness

Build

# Host-arch build + tests
cargo build --workspace
cargo test  --workspace --locked

# Optional VLM feature path
cargo build --workspace --features vlm

# No-default-features path (enforces the VLM optionality contract)
cargo build --workspace --no-default-features
cargo test  --workspace --no-default-features

# aarch64 cross-build (CI uses cargo-zigbuild; locally `cross` also works)
cargo install --locked cargo-zigbuild
rustup target add aarch64-unknown-linux-gnu
cargo zigbuild --release --target aarch64-unknown-linux-gnu --workspace

Run (dev)

cp .env.example .env
docker compose up -d
# Then inspect:
curl -s http://127.0.0.1:8080/health | jq

Documentation

The full document tree lives under _docs/. Start with:

  • _docs/00_problem/problem.md — the problem statement
  • _docs/02_document/architecture.md — system architecture
  • _docs/02_document/system-flows.md — sequence diagrams
  • _docs/02_document/components/<name>/description.md — per-component specs
  • _docs/02_document/deployment/{containerization,ci_cd_pipeline,observability}.md

CI

.woodpecker.yml drives the pipeline. Stages: fetch → lint → unit-test → build-arm64 → build-no-vlm → integration-test → sitl-conformance → security-scan → package → sign → publish → benchmark-gate (opt-in).

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