xinofwang2001/graduationproject-code

This is a data-science application for configuring data sources and workspaces, previewing extracted data, training and storing forecasting models, generating forecasts, and calculating KPIs. The main evidenced Python workflow maps a model request, extracts data, trains and validates a pipeline, then runs inference and returns results; separate endpoints persist or retrieve models. The graph includes the .NET UI/API boundary and the Python processing service. Wiring outside the sampled controller and pipeline implementations is shown only where the tree or excerpts support it.