| name | vibe19-plotly-dashboard |
| description | Use for Plotly charts in the Streamlit demo: rule fault plots, RCx multi-equipment overlays, box plots, OAT scatters, mech-cooling histograms. Triggers on: Plotly, chart, RCx, zone temps, duct static box, scatter, Streamlit figure. |
Vibe19 — Plotly charts (Streamlit)
Charts live in app/charts.py, app/rcx_plots.py, app/ui_rcx_tab.py via st.plotly_chart.
Do not rebuild the old static HTML / FastAPI dashboard pages.
Key files
| File | Role |
|---|
app/charts.py | rule_result_chart, multi_equipment_timeseries, multi_equipment_box, oat_scatter, mech_cooling_oat_histogram |
app/rcx_plots.py | Presets (PRESETS), collectors, summary/outlier stats |
app/ui_rcx_tab.py | RCx Plots tab |
app/unit_system.py | Convert series for metric display |
streamlit_app.py | Plots tab + RCx Plots tab + Analytics |
Patterns
Per-rule (Plots tab)
from app.charts import rule_result_chart, plotly_config
fig = rule_result_chart(df, result, required_roles=rule.required_roles, units_map=units_map)
st.plotly_chart(fig, width="stretch", config=plotly_config(filename=f"{eq}_{rule.id}"))
Rainbow colors, one y-domain per unit family, confirmed-fault swim lane.
RCx multi-equipment (RCx Plots tab)
from app.rcx_plots import collect_role_series, series_summary_stats, outlier_equipment_ids
from app.charts import multi_equipment_timeseries
series = collect_role_series(frames, role_map, role="zone_t", equipment_types=("VAV",))
stats = series_summary_stats(series, outlier_z=2.5)
fig = multi_equipment_timeseries(series, title="All zone temps", outlier_ids=outlier_equipment_ids(stats))
Outliers: red dashed lines / ★. Duct-static preset uses filter_fan_on=True (static-reset note in UI).
Scatters vs web weather
collect_oat_scatter + oat_scatter — HW/CHW vs web dry bulb; CW vs wet-bulb.
Spec
docs/RCX_PLOTS.md · full app: vibe19-streamlit-demo/SKILL.md
