Files
Behavision/agent
Suriyakumarvijayanayagam 5f83a1077d Enrolment hands out the broker CA, and now the PC keeps it
The server has always sent the broker's CA certificate in the enrolment
response, precisely so it never has to ship in an installer. Nothing on
the receiving end wrote it anywhere: the agent read the field under the
wrong name (ca_pem, the server says ca_cert) and the desktop app read it
correctly and dropped it. Every claimed PC therefore dialled
tls://mcp.loyaly.ai:8883 with the system trust store, the private CA
failed verification, and the agent reported 'the broker did not accept
this PC' - a TLS failure is indistinguishable from a refusal at that
layer. No real site could ever have published a visit.

Found by claiming this Mac as a real shop against production; fixed by
writing the CA to broker-ca.crt beside agent.json on both claim paths.
Verified: broker connected over TLS, camera pushed from head office,
engine streaming it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KGcjxF1cNLcuwc3DAPcnfj
2026-09-18 12:16:43 +05:30
..

Behavision agent (Go)

The half of the edge install that touches the network. The Python engine keeps the cameras and the models; this keeps the tray icon, the UI shell, the MQTT connection and the offline queue.

┌─ agent (Go) ───────────────────┐        ┌─ engine (Python) ────────┐
│ tray icon + WebView2 window    │        │ RTSP capture             │
│ supervises the engine process  │───────▶│ YuNet / ArcFace / FAISS  │
│ MQTT publish + offline spool   │◀───────│ SQLite (biometric)       │
│ S3 handoff, tenant config      │  local │ localhost API + events   │
└────────────────────────────────┘  HTTP  └──────────────────────────┘

Why the split

Go cannot run ONNX, OpenCV or FAISS, so the engine stays Python and ships frozen. Go is here for what it is actually better at: a durable queue that survives a store's internet dropping, a supervised child process, and one language shared with the server so the MQTT contract has a single definition.

Why not a Windows service

A service runs in session 0 and cannot draw a tray icon — that is Windows session isolation, not a library limitation. Since the product is "user starts and stops it from the tray", the agent is a normal user-session process that spawns the engine as a child. That also means it never needs elevation at runtime: starting a child process does not, controlling a service does.

internal/engine is written so a service wrapper can be added later without touching the supervision logic.

Layout

main.go              entry point, mode dispatch
internal/engine      start/stop/supervise the Python engine, health polling
internal/spool       durable event queue (survives restart and outage)
internal/mqtt        broker client, publishes from the spool
internal/config      tenant identity, broker settings, credentials
frontend/            React UI served into the WebView

Build

go build ./...            # agent alone
wails build               # agent + frontend, once the UI is added