Services

The services layer contains all business logic. Each dashboard tab has a dedicated *_tab_logic module, backed by shared supporting services.

Tab Logic Modules

Module	Tab
`control_tab_logic.py`	Control tab — experiment selection and data loading
`experiment_tab_logic.py`	Experiment tab — time-series exploration
`metrics_tab_logic.py`	Metrics tab — training/prediction statistics
`evaluation_tab_logic.py`	Evaluation tab — model vs ground-truth comparison

Module	Role
`data_loader.py`	Loads data from backend into DataFrames
`experiment_cache.py`	In-memory cache to avoid re-fetching
`experiment_fetcher.py`	Orchestrates WebSocket fetching
`experiment_filter.py`	Applies user filter criteria
`experiment_loader.py`	Cache-first loading coordinator
`experiment_metadata_fetcher.py`	Fetches lightweight experiment metadata
`experiment_plotter.py`	Generates interactive plots
`experiment_selector.py`	Manages experiment selection state
`model_manager.py`	Model registry and lifecycle management
`prediction_evaluator.py`	Computes evaluation metrics
`settings_service.py`	Credentials and config access
`simulation_worker.py`	Simulation scenario engine