Livrare LOT 1 - Didi

ai_platform/modules/forensic_features/docker-compose.yml

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+# Forensic Features API — Docker Compose
+#
+# Build:   docker compose build
+# Up:      docker compose up -d
+# Logs:    docker compose logs -f api
+# Down:    docker compose down
+
+name: forensic-features
+
+services:
+  api:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    image: forensic-features:latest
+    container_name: forensic-features-api
+    restart: unless-stopped
+
+    ports:
+      # Localhost only — DiDi agent-v3 ajunge via didi-network DNS
+      - "127.0.0.1:${API_PORT:-8085}:8080"
+
+    environment:
+      API_HOST: "0.0.0.0"
+      API_PORT: "8080"
+      PYTHONUNBUFFERED: "1"
+      PYTHONDONTWRITEBYTECODE: "1"
+      OTEL_EXPORTER_OTLP_ENDPOINT: ${OTEL_EXPORTER_OTLP_ENDPOINT:-http://didi-otel-collector:4317}
+      OTEL_SERVICE_NAME: forensic-features-api
+
+    volumes:
+      # Persistent dir for debug/artifacts (heatmaps, evidence JSON)
+      - api_data:/app/data
+
+    networks:
+      - didi-network
+
+    healthcheck:
+      test: ["CMD", "curl", "--fail", "--silent", "--max-time", "5",
+             "http://localhost:8080/health"]
+      interval: 30s
+      timeout: 10s
+      start_period: 30s
+      retries: 3
+
+    # Each request consumes ~2-3 GB peak (frame extraction + MediaPipe + ffmpeg).
+    # Adjust based on expected concurrency.
+    deploy:
+      resources:
+        limits:
+          memory: 4G
+          cpus: "4.0"
+        reservations:
+          memory: 1G
+          cpus: "1.0"
+
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+
+volumes:
+  api_data:
+    driver: local
+
+networks:
+  didi-network:
+    external: true