| from __future__ import annotations |
|
|
| import streamlit as st |
|
|
| from src.charts import demand_chart, retrieval_mode_donut |
| from src.data import schema_report |
| from src.ui import callout, section_title |
|
|
|
|
| class OverviewViewMixin: |
| """Overview and dataset-health page.""" |
|
|
| def _page_overview(self) -> None: |
| section_title("Overview", "Fast read for quality posture, data coverage, and immediate investigation targets.") |
| left, right = st.columns([1.12, 0.88], gap="large") |
| with left: |
| self._plot(demand_chart(self.ctx.demand_coverage), "overview_demand") |
| with right: |
| self._plot(retrieval_mode_donut(self.ctx.retrieval_outcomes), "overview_outcomes") |
|
|
| section_title("Top risk slices", "Ranked by error, hallucination exposure, and retrieval weakness.") |
| if self.ctx.risk_slices.empty: |
| callout("warn", "No eligible risk slices", "Try lowering the minimum slice size in the sidebar.") |
| else: |
| show_cols = [ |
| c |
| for c in ["domain", "scenario_type", "difficulty", "n", "correct_rate", "hallucination_rate", "recall_at_10", "risk_score"] |
| if c in self.ctx.risk_slices.columns |
| ] |
| st.dataframe(self.ctx.risk_slices[show_cols].head(15), use_container_width=True, hide_index=True) |
|
|
| section_title("Dataset health", "Schema coverage and table inventory.") |
| st.dataframe(schema_report(self.data), use_container_width=True, hide_index=True) |
|
|
|
|
