The current version is #ident "@(#)$Format:LocalFoodAI:app.py:%an:%ae:%ad:%cn:%ce:%cd:%H:%D:%N$"

# Zabbix Telemetry & Monitoring Guide

## Overview
The Local Food AI project enforces strict DevSecOps observability by streaming live hardware and database telemetry metrics to an external Zabbix server (`192.168.130.170:8081`).

> [!IMPORTANT]
> **Offline Local Fallback**: If the network to the external server is down or unavailable, the Zabbix monitoring dashboard is fully functional and accessible locally at **`http://localhost:8081`** when running the local Docker Compose stack.

## Accessing the Dashboard
1. Open your browser and navigate to `http://192.168.130.170:8081` (or `http://localhost:8081` if offline/local).
2. Log in using your Zabbix credentials (default: `Admin` / `zabbix`).
3. On the left sidebar, click **Monitoring > Dashboards**.
4. Select the **Food AI RAG Telemetry (Live)** dashboard.

## Key Metrics Monitored
The dashboard automatically queries the SNMP daemons running inside the Docker containers to monitor:
- **Memory Consumption**: Evaluates the massive RAM usage required by the Ollama Llama3.2:3B LLM during clinical evaluations.
- **CPU Spikes**: Identifies processing bottlenecks during the 3GB OpenFoodFacts `MATCH AGAINST` queries.
- **Database Row Count Check**: Displays the real-time record count of `food_db.products_core` to monitor the background CSV ingestion progress.

## Verifying Alerts
1. Click **Monitoring > Problems**.
2. If `snmpd` inside a container crashes or is unreachable, Zabbix will trigger an `Agent Unreachable` High-Severity Alert.
3. If the Database Server container crashes, Zabbix will trigger an alert via the Application Python `snmp_notifier.py` wrapper which sends asynchronous trap payloads indicating critical RAG failures.