Forecast as a Service

• Overview
• Directory Layout

Overview¶

• This project implements a modular Forecast-as-a-Service system
• It includes:
  • A backend API for receiving forecast requests and returning predictions
  • A frontend interface for visualizing forecasts and interacting with users

Directory Layout¶

• api/: contains the backend forecast API

  • api/main.py: FastAPI app definition and router registration
  • api/routes.py: defines API endpoints and their handlers
  • api/schemas.py: defines request and response schemas using Pydantic
    • ForecastRequest: schema for input data
    • ForecastResponse: schema for forecast results
  • api/services.py: core forecasting logic

• frontend/: contains the user-facing interface

  • frontend/app.py: Dash app initialization and execution
  • frontend/layout.py: defines the structure of the UI
  • frontend/callbacks.py: implements interactivity via Dash callbacks
  • frontend/config.py: contains configuration variables (e.g., API endpoint URL)
  • frontend/ui_components.py: contains reusable UI components
  • frontend/data_utils.py: helper functions for data parsing and formatting