A tenant had exactly the users somebody had created with a command on the
server. That is not a missing screen: a shop with an owner and four staff
either shared one password or raised a ticket per person, and a phone app
for the shop floor could not exist while there was one account to sign in
as.
Registration is by invitation, never open signup - the same line already
drawn around creating a company. The code carries the address and the role
and the request carries only a password, so a code that gets forwarded
cannot become somebody else's account, and a staff invitation cannot be
redeemed as an owner. Single use lives in the UPDATE and the account is
created in the same transaction.
Deactivating a member revokes their sessions in that transaction too. An
access token lives twelve hours, so without it "remove their access"
removed it sometime tomorrow. The session list and revoke that go with it
are the benefit of opaque tokens the product had been paying for and never
collecting: nothing could say what was signed in, let alone stop one.
Face images now work on a deployment with no object storage, which was
every local install and every self-hosted site - the arrivals feed said
"not storing customer photos" for every customer forever, on the screen
whose whole job is to show a face. Bounded to one row per visitor, so it
grows with the customer base and not with footfall; the bucket stays
primary wherever one exists.
Image.auth says whether a URL needs the session, because a browser img
cannot load one that does, a mobile image view can, and a webview can do
neither - the desktop client resolves those to a data URI in Go.
Found by running it, not by tests:
* UPDATE ... RETURNING gives the value AFTER the update, so the prune
read back empty keys, deleted nothing, and the table grew with
footfall exactly as if it were not there. The fake agreed with either
version; only the live Postgres test caught it.
* Trusting only the auth flag broke every shop card, because Sites.jsx
rebuilt a partial snapshot object and dropped it. A relative URL is
now sufficient on its own.
* ago() renders a future time as "just now", so a code valid for a week
read "expires just now".
Verified live against real Postgres: invite, preview, escalation refused,
register into a session, replay 404, staff forbidden, device revoked and
401 at once, last owner refused, and a 92,405-byte camera JPEG stored,
served to its owner, 401 with no session, 404 to another tenant, and
rendered in a browser.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
4 fps was not "live", and it was a number I picked rather than measured.
The engine actually produces ~12 distinct frames a second, so most of it
was being left on the floor.
Now: poll a little ahead of the engine and drop frames identical to the
last one by hash. Measured end to end - 131 frames in 10 s, 13.1 fps,
20.3 KB each, 259 KB/s, zero duplicates. Every byte on the wire is a
picture the viewer has not seen, and the rate follows the camera instead
of a constant.
Also records why this is MJPEG rather than passing the camera's own
compressed video through, which would be smoother, cheaper and use no
CPU. Probed the office camera: main 2304x1296@15, sub 800x448@15 - and
BOTH are H.265, despite stream paths ending in ".264". Browsers play
H.264 everywhere and H.265 only on some platforms, so passthrough cannot
rely on it, and transcoding HEVC on the shop PC would put a video encoder
on the machine already doing the recognition.
So probe_source now reports `codec`. It decides what is possible, an
installer can usually change it, and otherwise the only way to learn it is
to read RTSP by hand - which is how this was found.
The RTSP libraries used to establish that are NOT kept: they were only
ever imported by a spike test, and two large dependencies in a shipped
binary to answer a question OpenCV already knows is a bad trade. Their
`go get` had also silently bumped the agent to go 1.25 and broken the
desktop build, which is its own argument.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
I got this wrong first time. "Head office cannot show live video cheaply"
conflated TRUE VIDEO with SEEING THE CAMERA NOW, and only the first needs
WebRTC and a TURN server.
The shop PC is behind a router with no inbound route, so head office
cannot pull the engine's MJPEG. It can answer the agent's outbound
requests, which is the shape of everything else here: the server holds a
poll open, the agent asks "is anyone watching?", and pushes JPEGs up for
exactly as long as somebody is.
Measured on the office camera: 98 KB full frame, 20.8 KB re-encoded at
640/q60, so one watcher costs ~83 KB/s. 47 frames arrived in 12 seconds -
4 fps, as configured. The UI says "about 4 frames a second" rather than
letting anyone conclude the camera stutters.
Nothing is uploaded when nobody is looking, which is the whole cost
argument: Publish returns false once the last viewer goes, interest lapses
on a timer each viewer refreshes as it reads (so a closed tab stops the
upload within seconds), one push is capped at five minutes, and the UI
streams one camera at a time.
LiveHub is deliberately the opposite of the arrivals Hub. There a doorbell
pushes nothing because nothing may be lost; here a dropped frame is the
correct outcome, so each viewer has a one-slot buffer that is overwritten -
the only frame worth having is the newest, and a queue would show an
ever-growing delay behind the shop instead of dropping back to live.
Ownership is proved once, before anything streams: the relay is keyed on a
camera id, a hub does not know whose camera it holds, and a camera id is
not a secret. Verified: another tenant gets 404, no session gets 401, and
an agent cannot push into another site's camera.
Also fixes a bug I introduced with it - the Live button was gated on
`connected`, which is head office's last report and up to two minutes
stale, so it hid itself during every reconnect. "Is that camera really
down?" is exactly when somebody wants to look, and a hidden control says
"you cannot" where the honest answer is "here is why".
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
Head office shows a camera's latest frame rather than live video, for a
reason that has not changed: the engine serves MJPEG on 127.0.0.1 on a PC
behind a shop's router with no inbound route, and relaying it needs
WebRTC/TURN. Pointing a browser straight at the shop PC is not the escape
either - the engine's API is Basic-authenticated with a credential it
generates locally and never sends anywhere, and shipping that to the
cloud so a web page could use it would put the key to the biometric API
and the live face feed in the server's database.
But that picture only worked if you had an S3 bucket. Without one,
attachSnapshots reported "This system is not storing images" for every
camera forever - on the two screens whose whole job is to show the
camera. Making them picture-led turned a missing feature into a wall of
empty tiles, on every local install and any self-hosted customer who does
not want a bucket.
migrations/009 adds camera_snapshots and the agent falls back to
PUT /api/agent/cameras/{camera}/snapshot when the presigned route answers
images_disabled - chosen by sentinel, never by matching the message, since
it picks between two routes. One row per camera is what makes this safe in
the database when face images are not: the key IS the camera, so storage
is (cameras x ~100 KB) and does not grow with footfall.
The read is session-authenticated rather than a signed link, which an
<img> cannot use - hence Shot.jsx and useAuthedImage, keyed on the URL
string rather than the snapshot object so a poll does not re-fetch 90 KB
per camera every few seconds, and revoking the object URL on cleanup.
Verified against the real office camera with no bucket configured: 90,587
bytes stored in Postgres, served as image/jpeg to a signed-in user, 401
without a session, rendered on both the Cameras and Shops cards.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
Migrations were run by hand and nothing recorded which had run, so
re-running the setup script against an existing database failed on the
first CREATE TABLE, and shipping a new migration gave an operator no way
to know whether an estate had it. A missed migration is not a startup
error - it is a query referencing a column that is not there, surfacing
later on whichever endpoint touches it first.
server/internal/migrate applies pending migrations at boot and refuses to
start against a schema it does not match. One transaction per file
holding both the DDL and the row that records it; an advisory lock so two
servers starting at once cannot both apply 008; checksums so an edited
migration is refused by name rather than silently skipped; numeric
ordering so 010 does not run before 009. `migrate -baseline N` adopts a
database built before any of this existed, because "the clients table
exists" does not say whether 007's index does.
Verified on the live database: adopted 001-007, applied 008.
008 adds two indexes on `purchases`, found by asking the database which
foreign keys had nothing behind them and then checking what queries the
table. The conversion report filters client_id + occurred_at, which is
exactly the estate-wide case with no site to narrow it.
run-local.sh had two bugs, both found by running it rather than reading
it: it reused a broker container whose bind mount pointed at a directory
that no longer existed, and it discarded stderr on the mosquitto_passwd
call, so under `set -e` it exited at step 5 with no output at all.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
Five components that ship as one product:
- behavision/ the recognition engine. RTSP ingest, YuNet detection, IoU
tracking, ArcFace embeddings, a FAISS/SQLite gallery, and a
FastAPI dashboard. Identity is decided once per TRACK from an
average of at least three embeddings, never per frame.
- agent/ the Go edge agent: supervises the engine, holds a durable
spool, and drains it to MQTT. Nothing is acked before the
broker confirms.
- desktop/ the shop PC application (Wails + React + tray).
- server/ the cloud API, MQTT consumer, reports and assistant.
- web/ platform.loyaly.ai, the head-office app, embedded in the
server binary.
The gallery stores 512-float embeddings and timestamps - no images unless
`app.store_faces` is switched on. Those embeddings are biometric personal
data under GDPR and India's DPDP: template inversion reconstructs a
recognisable face from an ArcFace vector, so data/behavision.db is treated
as a biometric database and DELETE /api/visitors/{id} is a real erasure.
CLAUDE.md carries the reasoning behind every non-obvious decision here,
including the ones that were measured and the ones that were wrong first.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
