Behavision/RUN.md

Running the platform locally

Three processes and two containers. Nothing here touches production.

The short way

./run-local.sh          # Postgres + Mosquitto + build + accounts + run

Idempotent — run it again after a reset and it rebuilds the same state. It prints the two logins and serves http://127.0.0.1:8088.

Port 8088, not 8080. Docker Desktop listens on 127.0.0.1:8080 itself, and an earlier run of this ended up talking to Docker's own listener and reading its 401 as a Behavision one.

Everything it writes lives in .local/ — the binary, the encryption key, the broker's password file. Keep .local/env.sh: without that key every sealed camera and broker password is unrecoverable.

The rest of this file is the same thing done by hand.

1. Database

docker run -d --name bv-pg -p 55432:5432 \
  -e POSTGRES_PASSWORD=test -e POSTGRES_DB=behavision \
  pgvector/pgvector:pg16          # pgvector, NOT plain postgres — 001 needs it

for f in server/migrations/*.sql; do
  docker exec -i bv-pg psql -U postgres -d behavision -v ON_ERROR_STOP=1 -q < "$f"
done

2. Build

The web app builds INTO the Go module, so the server must be built after it.

cd web && npm install && npm run build      # -> server/internal/web/dist
cd ../server && go build -o bv-server ./cmd/behavision-server

3. First accounts

The first platform admin comes from the CLI, because creating it cannot require being signed in as one.

export DATABASE_URL='postgres://postgres:test@127.0.0.1:55432/behavision'
# -raw prints the key alone. Without it the command prints JSON, for pasting
# into an env file - and `$(... | tail -1)` then captures the whole object and
# hands the server a key it cannot parse.
export BEHAVISION_SECRET_KEY="$(./bv-server provision key -raw)"

./bv-server provision user -email root@loyaly.ai -role admin \
  -name "Loyaly Platform" -password 'loyaly-root-2026'

Every company after that is created from the web UI: sign in as the admin, Companies → New company. That is the only place tenants are made — there is no public registration.

4. Run

LISTEN_ADDR=127.0.0.1:8080 ./bv-server

Open http://127.0.0.1:8080. The API and the web app are the same binary on the same port; in production Traefik puts platform.loyaly.ai in front of it.

Accounts in the local demo

who	sign in	sees
Platform admin	admin@loyaly.ai / loyaly-platform-2026	Companies only
TeNext owner	suriya@tenext.in / tenext-2026	Shops, Live, Cameras, Customers, Reports

One address is one account across the whole platform, so the same email cannot be both a platform admin and a tenant user. See CLAUDE.md.

Optional: the broker, for live arrivals

Only needed to watch visits arrive in real time. Reports and Customers work without it.

docker run -d --name bv-mqtt -p 51883:1883 \
  -v "$PWD/mosquitto:/mosquitto/config" eclipse-mosquitto:2

The config needs a passwd file containing the server's own broker user and one user per site, and an acl granting the server read bv/# and each site write bv/<client>.<site>/#. provision site prints the site's password once.

Then run the server with MQTT_URL, MQTT_USERNAME and MQTT_PASSWORD set.

Onboarding a shop, the way a customer is onboarded

1. Company — sign in as the platform admin, Companies → New company. The owner's password is shown once.
2. Shop — provision site -client <slug> -site <slug> ..., then add the broker user it prints to Mosquitto. Still a command; see the note in CLAUDE.md about what would have to change for this to be self-service.
3. Installation code — sign in as the owner, Shops → the shop → Set up a shop PC → Create an installation code. Shown once, works once.
4. The shop PC — open Behavision on it and type the code into Set up this PC. It comes back with the broker credentials, its own API token and its topic prefix, and starts publishing immediately.
5. Cameras — Cameras → Set up a camera at head office. The shop PC picks it up within about two minutes.
6. Prove it — Shops → the shop → Run the check.

Running a real shop PC on this machine

The engine and the agent both honour BEHAVISION_DATA_DIR, so a checkout can act as a shop PC:

python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
cd agent && CGO_ENABLED=0 go build -o ../.local/behavision-agent . && cd ..

# agent.json: written by the desktop app's "Set up this PC" screen in real life.
# Locally, redeem a code by hand and write client_slug / site_slug / broker
# credentials / agent_token into $BEHAVISION_DATA_DIR/agent.json.
BEHAVISION_DATA_DIR=$PWD ./.local/behavision-agent run

The agent starts the engine itself — do not also run python -m behavision run, or two processes fight over one camera and one SQLite WAL. It passes the bridge's URL to the engine through BEHAVISION_WEBHOOK_URL, and reads the engine's generated Basic credential from data/api_credentials.txt.

./.local/behavision-agent status prints what the agent can see of the engine — the fastest way to tell "the engine is down" from "the agent cannot talk to it".

Cameras

Onboard one from Cameras → Set up a camera on the platform. The shop PC picks it up within about two minutes and it turns from Waiting for the shop PC to Connected once the agent has actually reached it.

Cameras already configured on a shop PC appear here on their own — the agent offers them up on its first sync, so switching this on does not disturb a site that is already running.

The picture on each card is the engine's latest frame, uploaded about once a minute, not live video: the camera stream lives on the shop PC's loopback behind a router, and putting live video in a browser at head office needs a relay this deployment does not have.

Camera passwords are encrypted with BEHAVISION_SECRET_KEY. Without that key set, a camera can be saved but not with a password, and the API says so rather than storing it blank.

Proving a camera works

Cameras → Set up a camera walks it in four steps: name and make, connection details, a connection test, then a walk-past check. Picking the make fills in the RTSP path, which is the field nobody can find.

A camera is only "verified" once someone has walked past it. Until then the card says Not checked yet even when the stream is connected — those are different claims, and a camera can stream perfectly while producing views nothing can recognise.

Cameras → Is this shop working? runs the end-to-end check: PC online, recognition running, cameras connected, faces recognisable, visits arriving. It stops at the first failure rather than guessing past it.

Checks are jobs the shop PC picks up on its next sync, so allow a couple of minutes — or restart the agent to make it sync now.

The assistant

Set ANTHROPIC_API_KEY before starting the server and the Ask button appears in the top bar. Without it the server logs that the assistant is off, the panel says so, and nothing else changes.

It answers from the same business questions the screens ask — shops, cameras, footfall, sales, customers — and can request a camera check. Every tool runs as the signed-in user, so it can only see what that person could already see, and staff are refused camera checks the same way the UI refuses them.

Uses claude-sonnet-5; set BEHAVISION_ASSISTANT_MODEL to change it without a rebuild. A conversation is capped at 8 tool round trips.

If your key is identity-linked (issued against a user rather than an org), it also needs ANTHROPIC_WORKSPACE_ID — a wrkspc_... id from console.anthropic.com → Settings → Workspaces. Without it every Anthropic endpoint returns 400, and the server says so by name rather than reporting a generic fault. A classic API key needs nothing extra.

Tests

cd server && go test ./...                                   # no database needed
cd server && TEST_DATABASE_URL="$DATABASE_URL" go test ./...  # adds the SQL tests
cd agent  && go test ./...

The live database tests skip themselves when TEST_DATABASE_URL is unset, so the suite stays runnable with no services — the same rule the bucket tests and the Python tests follow.

Windows binaries, from a Mac

cd desktop/frontend && npm run build      # go:embed needs frontend/dist
cd ..     && GOOS=windows CGO_ENABLED=0 go build -o behavision-desktop.exe .
cd ../agent && GOOS=windows CGO_ENABLED=0 go build -o behavision-agent.exe .

These compile. They have never been RUN on Windows — no wails build, no installer, no code signing.

---

Building the Windows package

installer/build.ps1 produces dist\Behavision-Setup-<version>.exe.

It has to run on Windows. The Go binaries and the front ends cross-compile from a Mac (verified), but PyInstaller freezes the interpreter and native wheels of the machine it runs on — there is no cross-target flag. The engine .exe is built on Windows or not at all.

On the Windows box, with Python 3.11+, Go 1.21+, Node LTS and Inno Setup 6 installed and on PATH:

git clone <this repo> C:\src\Behavision
cd C:\src\Behavision
powershell -ExecutionPolicy Bypass -File installer\build.ps1 -Version 0.1.0

It creates the venv, runs the engine test suite (a package is not worth building if the engine is broken), freezes the engine, builds the app and the agent, downloads the WebView2 bootstrapper, stages dist\Behavision\, starts the frozen engine once to prove it runs, and compiles the installer.

-SkipInstaller stops after staging, for testing without Inno Setup.

What to check on the Windows box

1. Install as an administrator. Accept the model download.
2. C:\Program Files\Behavision\engine\behavision.exe paths — the state root must be C:\ProgramData\Behavision, not anywhere under Program Files.
3. Launch from the Start menu. Set this PC up on its own — no code needed.
4. Cameras → Add camera → pick the make → Test connection → Save. The feed must appear with no restart.
5. Check /api/health reports recognition_model. On a 16 GB machine the 166 MB r50 can lose the fallback chain to the 13 MB mbf, and embeddings are model-tagged, so which one wins decides whether a gallery carries over.
6. Sign out of the tray (Quit) — recognition must stop with it. Reboot; the app must come back on its own.
7. Only then link it to head office, from the sidebar.

Nothing is code-signed yet, so SmartScreen will warn on first launch.

Schema

The server applies pending migrations when it starts and refuses to run against a schema it does not match. Three ways to look at it by hand:

export DATABASE_URL=...
./bv-server migrate -status      # what is applied, adopted, pending or CHANGED
./bv-server migrate              # apply everything pending
./bv-server migrate -baseline 7  # adopt a database built before tracking existed

The migrations are compiled into the binary, so rebuild before migrating — a stale binary honestly reports "schema up to date" about files it has never seen. Never edit an applied migration: the checksum check will refuse it by name, and the fix is a new file.