Files
Behavision/agent/pkg/bridge/engine_client.go
Suriyakumarvijayanayagam dad04e8cda Behavision: face recognition for retail, edge to head office
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
2026-09-04 11:14:18 +05:30

57 lines
1.4 KiB
Go

package bridge
import (
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
)
// EngineEmbeddings reads templates from the local engine's API.
type EngineEmbeddings struct {
Base string
User string
Password string
Client *http.Client
}
func NewEngineEmbeddings(base, user, password string) *EngineEmbeddings {
return &EngineEmbeddings{
Base: strings.TrimRight(base, "/"), User: user, Password: password,
Client: &http.Client{Timeout: 10 * time.Second},
}
}
func (e *EngineEmbeddings) Embedding(ctx context.Context, id int64) ([]float32, string, error) {
url := fmt.Sprintf("%s/api/identities/%d/embedding", e.Base, id)
req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
if err != nil {
return nil, "", err
}
if e.User != "" {
req.SetBasicAuth(e.User, e.Password)
}
resp, err := e.Client.Do(req)
if err != nil {
return nil, "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return nil, "", fmt.Errorf("engine returned %s", resp.Status)
}
var body struct {
Model string `json:"model"`
Embedding []float32 `json:"embedding"`
}
if err := json.NewDecoder(io.LimitReader(resp.Body, 1<<20)).Decode(&body); err != nil {
return nil, "", err
}
if len(body.Embedding) == 0 {
return nil, "", fmt.Errorf("engine returned an empty embedding")
}
return body.Embedding, body.Model, nil
}