customize compreface org 011 cu ls wgj5qre3 zdc a zop as new

.env

@@ -1,26 +1,62 @@
+
+
 registry=exadel/
+
+# Database Configuration
 postgres_username=postgres
-postgres_password=postgres
-postgres_db=frs
+postgres_password=admin
+postgres_db=morocco_1bip_frs
 postgres_domain=compreface-postgres-db
 postgres_port=5432
+
+# Email Configuration (for user registration and notifications)
+# Set enable_email_server=true and configure SMTP settings for production
 email_host=smtp.gmail.com
 email_username=
 email_from=
 email_password=
 enable_email_server=false
+
+# Storage Configuration
 save_images_to_db=true
-compreface_api_java_options=-Xmx4g
-compreface_admin_java_options=-Xmx1g
-max_file_size=5MB
-max_request_size=10M
-max_detect_size=640
-uwsgi_processes=2
-uwsgi_threads=1
+
+# Performance Tuning for Military Deployment (300-500 personnel per unit)
+# ⚠️ IMPORTANT: Ajuster selon la RAM allouée à Docker Desktop
+# Pour M3 Max avec Docker Desktop:
+#   - RAM Docker < 8GB: Utiliser config "Minimal" ci-dessous
+#   - RAM Docker 8-16GB: Utiliser config "Standard"
+#   - RAM Docker > 16GB: Utiliser config "High Performance"
+
+# CONFIG MINIMAL (Docker Desktop avec 4-8GB RAM)
+# compreface_api_java_options=-Xmx2g      # 2GB pour API (minimal fonctionnel)
+compreface_admin_java_options=-Xmx2g    # 2GB pour Admin service on server-class hardware
+max_file_size=10MB                       # Higher for HD camera images
+max_request_size=20M                     # Higher for HD images
+max_detect_size=1440                     # Support up to 4K resolution
+
+# Python Worker Configuration (for face recognition processing)
+# CONFIG MINIMAL: 1 worker pour économiser RAM
+# uwsgi_processes=1                        # 1 worker (économie RAM, suffisant pour tests)
+# uwsgi_threads=2                          # 2 threads par worker
+
+# Si vous avez plus de RAM dans Docker Desktop, décommentez ci-dessous:
+# CONFIG STANDARD (8-16GB RAM Docker):compreface_api_java_options=-Xmx4g
+# uwsgi_processes=2
+# uwsgi_threads=2
+#
+# CONFIG HIGH PERFORMANCE (16GB+ RAM Docker):
+compreface_api_java_options=-Xmx8g
+uwsgi_processes=8
+uwsgi_threads=2
+
+# Timeout Configuration
 connection_timeout=10000
 read_timeout=60000
 ADMIN_VERSION=1.2.0
 API_VERSION=1.2.0
 FE_VERSION=1.2.0
-CORE_VERSION=1.2.0
+CORE_VERSION=1.2.0-arcface-r100
 POSTGRES_VERSION=1.2.0
+
+# Enable AVX2-optimized native binaries for InsightFace on modern Xeon CPUs
+ND4J_CLASSIFIER=linux-x86_64-avx2