mnds18/agentic-ts-forecasting-system

1"""2presentation_agent.py3Creates slide_deck.md with content for both execs and technical teams4"""5import os6from agents.orchestration_agent import agent_logger7 8@agent_logger("BA", "Generate Slide Deck")9def generate_slide_deck():10    os.makedirs("outputs", exist_ok=True)11    slides = {12        "Slide 1": "Objective: Forecast retail sales using modular agentic pipeline",13        "Slide 2": "Architecture: BA → DS → Reviewer → MLOps → PM",14        "Slide 3": "Models: Prophet baseline + XGBoost/ARIMA planned",15        "Slide 4": "Data: 3 years daily + black swan (COVID dip)",16        "Slide 5": "Forecast Output: CSV + API + Dashboard",17        "Slide 6": "Key Metrics: MAE, RMSE, MAPE",18        "Slide 7": "Peer Review: 10-point checklist",19        "Slide 8": "Gantt Timeline: 10 task plan",20        "Slide 9": "Deployment: Flask + Docker",21        "Slide 10": "Next Steps: Real data, scaling to multi-store"22    }23    with open("outputs/slide_deck.md", "w", encoding="utf-8") as f:24        for k, v in slides.items():25            f.write(f"## {k}\n{v}\n\n")26