swadhinbiswas feat: AegisVision v2 — AI enterprise surveillance & monitoring platform · 8/8/2026
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"""Recognition backend selection and the insightface/ONNX fast path."""
import numpy as np
import pytest
def test_legacy_backend_chosen_when_forced():
import app.services.face_backend as mod
mod._backend = None
original = mod._build_backend
mod._build_backend = lambda: mod.LegacyBackend()
try:
assert mod.get_backend().name == "legacy"
finally:
mod._build_backend = original
mod._backend = None
def test_insightface_backend_never_raises_when_probed():
"""Whether insightface loads or falls back, selection must not crash."""
import app.services.face_backend as mod
mod._backend = None
original = mod._build_backend
mod._build_backend = original # real builder (probes model availability)
try:
backend = mod.get_backend()
assert backend.name in ("insightface", "legacy")
finally:
mod._backend = None
def test_insightface_real_photo_produces_512d_embedding(tmp_path):
"""End-to-end on a real face photo when the ONNX model is present. Skips otherwise."""
import glob
import os
import cv2
photos = (
glob.glob(os.path.join(os.path.dirname(__file__), "..", "photos", "*"))
or glob.glob(os.path.join(os.path.dirname(__file__), "..", "backend", "data", "known_persons", "**", "*"), recursive=True)
)
photos = [p for p in photos if p.lower().endswith((".jpg", ".jpeg", ".png"))]
from app.services import face_backend as mod
candidacy = mod.InsightFaceBackend()
try:
candidacy._ensure_app()
except Exception as e:
pytest.skip(f"insightface model unavailable: {e}")
hit = None
for p in photos:
img = cv2.imread(p)
if img is None:
continue
rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
hit = candidacy.embed_photo(rgb)
if hit is not None:
break
if hit is None:
pytest.skip("no photo with a detectable face found")
assert len(hit) == 512
assert all(np.isfinite(hit))