refactor: restructure repo into core/app modules with per-study folders

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.
This commit is contained in:
2026-05-20 22:28:12 -04:00
parent a6f3ee3676
commit a2420ed692
52 changed files with 35300 additions and 105 deletions

104
app/pages/summary.py Normal file
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"""Financial summary dashboard tab."""
from __future__ import annotations
import streamlit as st
from app.components import charts
from app.pages._helpers import report_meta, safe
from core.export import build_report_data
from core.tei_client import AthenaAPIError, TEIClient
def render(client: TEIClient, tool: dict) -> None:
st.header("📊 Financial Summary")
public_id = tool["id"]
report = report_meta(client, tool)
try:
summary = client.get_summary(public_id)
except AthenaAPIError as e:
if e.status_code == 404:
st.info(
"No summary yet — click **Recalculate** in the sidebar after "
"filling in benefits and costs."
)
return
st.error(f"Athena API error: {e.detail}")
return
npv = float(summary.get("npv") or 0)
roi = float(summary.get("roi") or summary.get("roi_pct") or 0)
payback = summary.get("payback_months")
bpv = float(summary.get("total_benefits_pv") or 0)
cpv = float(summary.get("total_costs_pv") or 0)
cols = st.columns(5)
cols[0].metric("NPV", f"${npv/1_000_000:,.1f}M")
cols[1].metric("ROI", f"{roi:,.0f}%")
cols[2].metric(
"Payback",
f"{float(payback):.1f} months" if payback is not None else "N/A",
)
cols[3].metric("Benefits PV", f"${bpv/1_000_000:,.1f}M")
cols[4].metric("Costs PV", f"${cpv/1_000_000:,.1f}M")
st.divider()
yb = summary.get("yearly_breakdown") or []
initial = float(summary.get("initial_costs") or 0)
if yb:
charts.cashflow(yb, initial_cost=initial)
with st.expander("Cash flow table"):
st.dataframe(yb, use_container_width=True, hide_index=True)
else:
st.caption("No yearly breakdown in this summary.")
# Scenario comparison — computed locally from current values
with st.expander("Scenario analysis (conservative / moderate / aggressive)"):
envelope = safe(
build_report_data,
client,
public_id,
include_scenarios=True,
study_slug=report.get("name", ""),
)
if envelope and envelope.get("scenarios"):
charts.scenario_bars(envelope["scenarios"])
rows = [
{
"Scenario": k,
"Benefits PV": float(v.get("total_benefits_pv") or 0),
"Costs PV": float(v.get("total_costs_pv") or 0),
"NPV": float(v.get("npv") or 0),
"ROI %": float(v.get("roi_pct") or 0),
"Payback (months)": (
round(float(v.get("payback_months") or 0), 1)
if v.get("payback_months") is not None
else None
),
}
for k, v in envelope["scenarios"].items()
]
st.dataframe(rows, use_container_width=True, hide_index=True)
# Export button
st.divider()
if st.button("📦 Build export envelope (JSON)"):
envelope = safe(
build_report_data,
client,
public_id,
include_scenarios=True,
study_slug=report.get("name", ""),
)
if envelope:
import json
data = json.dumps(envelope, indent=2, default=str)
st.download_button(
"Download export.json",
data=data,
file_name=f"{public_id}_export.json",
mime="application/json",
)