Enhanced FRED ML with improved Reports & Insights page, fixed alignment analysis, and comprehensive analytics improvements

Fix analytics loading and config imports - restore advanced features

Add version 2.0.1 indicator to force Streamlit Cloud update

Trigger Streamlit Cloud redeploy with latest updates

CRITICAL FIX: Stop load_fred_client() from clobbering FRED_API_AVAILABLE flag set in load_config()

Final consolidation: replace load_config() with clean, consolidated version that properly sets both REAL_DATA_MODE and FRED_API_AVAILABLE

Fix FRED_API_AVAILABLE wiring: set to True when valid key is detected and restore production streamlit_app.py

Implement Streamlit-native solution: remove dotenv dependency and use st.secrets directly

Wire up FRED_API_AVAILABLE to flip to True when valid key is detected in load_config()

Add comprehensive debug logging to track FRED API key loading and propagation

Fix FRED API key propagation - make key loading dynamic instead of static at module import time

Add error handling and debug logging for AWS client initialization to prevent UnboundLocalError

Fix s3_client initialization in main() function - move AWS client initialization outside conditional block

Remove pre-flight FRED API key check - rely on REAL_DATA_MODE after load_config()

Remove FRED API key debug message from UI and fix Streamlit Cloud deployment

Add FRED API key validation at app startup and improve environment variable loading

Fix frequency error and analytics availability issues - Fixed Invalid frequency: ME error by changing freq='ME' to freq='M' - Updated analytics availability check to verify modules directly - Improved error handling for real FRED data processing - Enhanced configuration page to show accurate analytics status

Remove all demo data and update project to use only real FRED API data

Optimize Streamlit app performance with lazy imports and loading indicators

Fix Streamlit Cloud deployment issues and deprecated pandas warnings

Prepare for Streamlit Cloud deployment - Add deployment files, fix clustering chart error, update requirements

feat: Integrate advanced analytics and enterprise UI

feat: Complete project cleanup and professional structure