# Running the platform locally Three processes and two containers. Nothing here touches production. ## The short way ```bash ./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 . **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 ```bash 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 < "$f" done ``` ## 2. Build The web app builds INTO the Go module, so the server must be built after it. ```bash cd web && npm install && npm run build # -> server/internal/web/dist cd ../server && go build -o bv-server ./cmd/behavision-server ``` ## 3. First accounts The first platform admin comes from the CLI, because creating it cannot require being signed in as one. ```bash export DATABASE_URL='postgres://postgres:test@127.0.0.1:55432/behavision' # -raw prints the key alone. Without it the command prints JSON, for pasting # into an env file - and `$(... | tail -1)` then captures the whole object and # hands the server a key it cannot parse. export BEHAVISION_SECRET_KEY="$(./bv-server provision key -raw)" ./bv-server provision user -email root@loyaly.ai -role admin \ -name "Loyaly Platform" -password 'loyaly-root-2026' ``` Every company after that is created from the web UI: sign in as the admin, **Companies → New company**. That is the only place tenants are made — there is no public registration. ## 4. Run ```bash LISTEN_ADDR=127.0.0.1:8080 ./bv-server ``` Open . The API and the web app are the same binary on the same port; in production Traefik puts `platform.loyaly.ai` in front of it. ## Accounts in the local demo | who | sign in | sees | |---|---|---| | Platform admin | `admin@loyaly.ai` / `loyaly-platform-2026` | Companies only | | TeNext owner | `suriya@tenext.in` / `tenext-2026` | Shops, Live, Cameras, Customers, Reports | One address is one account across the whole platform, so the same email cannot be both a platform admin and a tenant user. See CLAUDE.md. ## Optional: the broker, for live arrivals Only needed to watch visits arrive in real time. Reports and Customers work without it. ```bash docker run -d --name bv-mqtt -p 51883:1883 \ -v "$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/./#`. `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 -site ...`, 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: ```bash 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 ```bash 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 ```bash 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.