face-enroll

name	face-enroll
description	Manage the lamp's face recognition roster — enroll new faces (3 paths: user-supplied photo, agent-captured snapshot on user request, or lelamp's familiar-stranger prompt) and maintain the enrolled set (status / remove / reset). All enrolled persons are friends; strangers stay unnamed until promoted via one of the enroll flows.

Face Enroll

Manage faces for the lamp's face recognition system. Faces live under /root/local/users/<label>/. All enrolled persons are treated as friends — distinguished from stranger_* IDs the camera hasn't been told about yet.

Flow router — pick ONE per user message

Flow	When	Detail
A — Self-enroll with a photo	User sends a photo of themselves + intro ("remember my face", "this is me").	reference/self-enroll-photo.md
B — Self-enroll via camera capture	User asks to be remembered without sending a photo, on voice or Telegram text (assumes user is near the lamp). Examples: "remember my face", "I'm Gray", "capture and enroll me". Web chat without a photo → ask for a selfie (Flow A) instead.	reference/self-enroll-camera.md
C — Familiar-stranger prompt	Current sensing message contains lelamp's hint (familiar stranger ... — seen N times, ask user if they want to remember this face; image saved at <path>), OR the user is replying to your previous prompt about that stranger.	reference/familiar-stranger.md
M — Maintenance	"who do you recognize?", "forget my face", "reset faces".	reference/maintenance.md

Disambiguation hints:

• Photo attached (mediaPaths / [image: ...]) → Flow A.
• No photo + lelamp familiar-stranger hint in current message → Flow C.
• No photo + no hint, user wants to be remembered → Flow B.
• The user is naming a face you previously asked about (Flow C in progress) → continue Flow C.
• Pure read/delete intent → Flow M.

Common rules (apply across all enroll flows)

• Self-enrollment only. The person being enrolled must be the one identifying themselves: sender of the message in Flows A/B, the camera-person responding to the prompt in Flow C. Refuse third-party enrollment ("add my friend Bob").
• Confirm the name out loud before enrolling — Flows B and C only.
  • Flow A: the user's own photo + intro IS the confirmation; don't ask redundantly.
  • Flow B: read the name back in the same turn you snapshot ("Got it, saving you as Gray — hold still").
  • Flow C: address the camera-person directly — "mind if I remember you? what's your name?" — and wait for the reply before calling /face/enroll.
• Always confirm enrollment afterwards — tell the user the name was registered once /face/enroll returns ok.
• Use lowercase labels — normalize names to lowercase. Use the SAME label as speaker-recognizer for the same person so /root/local/users/<label>/ is shared.
• Telegram identity rules:
  • Flow A (photo on Telegram): include telegram_username + telegram_id (required for DM targeting).
  • Flow A (photo on web chat): omit Telegram fields.
  • Flow B (voice): omit. Flow B (Telegram text): include.
  • Flow C: always omit — the camera-person isn't on Telegram (any Telegram metadata in context belongs to someone else, e.g. the owner overhearing).
• One photo per /face/enroll call. Multiple photos → call once per photo.
• Never write files directly to /root/local/users/. Always go through the HTTP API.
• Don't expose technical details — say "I'll remember your face" not "base64-encoding the JPEG".

Tools (curl reference)

All HTTP calls go to http://127.0.0.1:5001.

# Enroll
curl -s -X POST http://127.0.0.1:5001/face/enroll \
  -H "Content-Type: application/json" \
  -d "{\"image_base64\": \"$(base64 -w0 /path/to/photo.jpg)\", \"label\": \"chloe\", \"telegram_username\": \"chloe_92\", \"telegram_id\": \"123456789\"}"

# Status
curl -s http://127.0.0.1:5001/face/status

# Remove one
curl -s -X POST http://127.0.0.1:5001/face/remove \
  -H "Content-Type: application/json" \
  -d '{"label": "chloe"}'

# Reset all
curl -s -X POST http://127.0.0.1:5001/face/reset

# Snapshot (for Flow B)
curl -s "http://127.0.0.1:5001/camera/snapshot?save=true"

Photo source by channel

Channel	Where to read the path
Telegram (with photo)	mediaPaths in conversation context
Web chat (with image)	[image: /path/to/file] tag in message text
Voice / Telegram-text (Flow B)	path returned by GET /camera/snapshot?save=true
Familiar-stranger (Flow C)	<path> parsed from the lelamp hint in the sensing message

Error handling

• 503 from any face endpoint → recognizer is down (sensing not started). Tell the user face recognition is offline.
• 400 "image cannot be decoded" → bad base64 / corrupt file. Apologize, ask user to re-send (Flow A) or retry capture (Flow B).
• 400 "no face detected" → no face in the image. Apologize and either ask the user to face the camera (Flow B retry) or ask for a clearer photo (Flow A).
• 404 on /face/remove → that label isn't enrolled. Tell the user.