Replace Streamlit and JupyterLab commands with Mercury for serving interactive
notebooks as web apps. Update README to reflect new architecture where
notebooks are the primary deliverables, utilizing Mercury input widgets for
live client tuning. Add export_report.py script to generate LLM-readable
HTML/Markdown reports from the notebooks. Update corrected business case
notebook to include Mercury dependency and usage instructions.
- Add 202512_GenesysCX TEI study (config, seed data, notebooks, README)
with NPV $10.8M / ROI 266% including AI-token cost line
- Add explicit `key` parameter to all chart wrappers in app/components
to prevent StreamlitDuplicateElementId errors when the same figure
type renders across Summary/Benefits/Costs tabs
- Render benefits bar and cost pie charts on their respective tabs
- Add benefits_vs_costs_by_year chart wrapper
Add configurable locale/display formatting environment variables
(`PALLADIUM_CURRENCY_SYMBOL`, `PALLADIUM_THOUSANDS_SEP`,
`PALLADIUM_DECIMAL_SEP`) to support regional number formatting in the
Streamlit app. Update `.env.example` with documentation for these new
variables.
Also refresh `00_setup.ipynb` with current execution outputs reflecting
a live Athena connection with report templates, a selected client
(Global Guardian Insurance, ID=2), and resolved NameError in assumption
override cells.
Reorganize Palladium codebase into a modular architecture with `core/`
shared logic and `app/` Streamlit UI, separating per-study assets into
`studies/YYYYMM_<Vendor>/` folders containing notebooks, seed data, and
configuration. Update README to reflect new structure, add `.gitignore`
entries for `.env` and study exports, and refresh component documentation.
