studies/202602_AmazonConnect -> studies/202602_TEI_Amazon_Connect, rebuilt as pattern Variant 4 (TEI composite reproduction): - teicalc/ self-contained engine (stdlib-only): Forrester's tables as the never-edited verbatim anchor, NPV/ROI/payback + risk adjustment transplanted from core/calculations, ClientDrivers overlay (contacts/ agents/fixed driver map, growth re-base, identity at composite scale), scenario stress with core-identical semantics - one deliverable notebook (business_case.ipynb): widget-pair sidebar drivers, published-vs-overlay KPI columns, cash-flow/waterfall/scenario charts, verification gate, backstage JSON data appendix - gate + tests reproduce the published totals within PDF rounding: NPV $78.7M / ROI 342% / payback <6 months (engine $78,713,492 / 342.48% / 0.7 months); 27 study tests, headless nbconvert green, stage simulation leak-free, exports carry the appendix - old Athena workflow (00_provision..04_export, config.py, seed_data.py) deleted; git history preserves it; root test fixture repointed to teicalc.anchor - docs: study README rewritten; root README points new studies at template/MercuryNotebook; pattern doc stale ctm-token-calculator paths now cite studies/202607_CTM_GenesysCX; Variant 4 cites this study as its realized reference Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
1.8 KiB
1.8 KiB
Mercury Notebook Template
Copy-me starting point for a Palladium study, per
docs/Mercury_Notebook_Pattern_V1-00.md.
The toy model is complete on purpose — every pattern mechanism (verbatim
anchor + contracted overlay, ramp mechanics, baseline-relative frame,
widget-pair reactivity, verification gate, backstage appendix, exports)
is present and runnable, so you replace math, not plumbing.
Start a study
cp -r template/MercuryNotebook studies/YYYYMM_Client_EngagementName
cd studies/YYYYMM_Client_EngagementName
# 1. Rename the package (underscores only — dashes break Python imports):
# studylib/ → <yourstudy>lib/, then fix pyproject.toml + imports.
# 2. Replace studylib/model.py's toy domain with your math;
# re-pin tests/test_model.py with hand-checked numbers.
# 3. Rework notebooks/business_case.ipynb section by section —
# keep the widget-pair cells, gate cell, and appendix cell structure.
pip install -e ".[dev]"
Run
| Task | Command |
|---|---|
| Tests | pytest |
| Serve (the stage) | mercury --working-dir notebooks/ (run from project root so config.toml loads) |
| Analyst view (backstage) | jupyter lab |
| Headless check | jupyter nbconvert --to notebook --execute --inplace notebooks/business_case.ipynb |
| Export for LLMs | python scripts/export_report.py |
What's here
studylib/model.py # ALL math — notebooks hold none
studylib/staging.py # on_stage()/backstage() — Mercury vs JupyterLab/nbconvert
notebooks/business_case.ipynb
scripts/export_report.py
tests/ # hand-checked pinned acceptance numbers
config.toml # Mercury theme (NTT DATA brand)
pyproject.toml # full toolchain as core deps — no requirements.txt
Reference implementation (a full multi-notebook study):
studies/202607_CTM_GenesysCX/.