Add VM metrics prediction to monitoring

[km4rcus]

Description
This feature aims to enhance the OpenNebula monitoring system by introducing predictive capabilities for Virtual Machine (VM) metrics. For each monitored metric (e.g., CPU), the system will provide single-step or multi-step forecasts using regression models.

• Change poll.rb to store VM metrics in a SQLite DB
• Add python script for predictions (using OneAIOps SDK)
• Call the prediction probe from poll.rb
• Add python lib folder with OneAIOps SDK (lite version) #6922
• Packaging for forecast probes #6921
• Integration with Sunstone

Interface Changes
The monitoring section of the VM template will contains information about the metrics predictions:

Example:

CPU = 39
CPU_FORECAST = "TS1: 40, TS2: 41, TS3: 40, TS4: 42, TS5: 41"

Progress Status

• Code committed
• Testing - QA
• Documentation (Release notes - resolved issues, compatibility, known issues)