Files
palladium/app/views/benefits.py
Robert Helewka 64fb83257d feat: add GenesysCX study and fix Streamlit chart key collisions
- 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
2026-06-10 14:26:49 -04:00

58 lines
1.8 KiB
Python

"""Benefits data-entry tab."""
from __future__ import annotations
import streamlit as st
from app.components import charts
from app.components.tables import df_to_values, value_editor
from app.utils import icon
from app.views._helpers import report_meta, safe
from core.tei_client import TEIClient
def render(client: TEIClient, tool: dict) -> None:
st.markdown(
f"<h2>{icon('graph-up-arrow')} Benefits</h2>",
unsafe_allow_html=True,
)
public_id = tool["id"]
report = report_meta(client, tool)
analysis_years = int(report.get("analysis_period_years") or 3)
fields = safe(client.list_fields, report.get("id"), "benefits") or []
values = [v for v in safe(client.get_values, public_id) or [] if v.get("table") == "benefits"]
if not fields:
st.info("This report template has no benefit fields defined.")
return
edited = value_editor(
"benefits",
fields,
values,
analysis_years=analysis_years,
key=f"benefits_editor_{public_id}",
)
col1, col2 = st.columns([1, 4])
with col1:
if st.button("Save benefits", width="stretch"):
payload = df_to_values(edited, "benefits", analysis_years)
result = safe(client.update_values, public_id, payload)
if result is not None:
st.success(f"Saved {len(payload)} benefit values.")
st.cache_data.clear()
with col2:
st.caption(
"Values are saved as nominal annual amounts. Risk adjustments are "
"applied at calculate time. Use the Recalculate button in the "
"sidebar after saving to refresh the summary."
)
if values:
st.divider()
charts.benefits_bar(values, key=f"benefits_tab_bar_{public_id}")