Dashboard: Stadium Night design system, 5-page Streamlit app, warehouse exporter

- src/export/warehouse.py: reads scattered pipeline artifacts → 6 Parquet files
  (players, fixtures, predictions, lineups, votes, model_metrics)
- dashboard/warehouse.py: read-only cached Parquet loader
- .streamlit/config.toml: dark theme base, server config
- dashboard/viz/template.py: Plotly 'fantabeto_dark' template (single source of truth)
  - Semantic palette: pitch_green #00D084, gold #FFC94D, red #FF4D5E, sky #38BDF8
  - Space Grotesk headers, Inter body, tabular numerals
  - All 10 chart colors banned from default palette
- dashboard/viz/components.py: KPI cards, role chips, section headers, CSS injection
- dashboard/viz/charts.py: 10 pure chart functions (df → Figure)
  - percentile radar, fixture heatmap, regression comparison, bonus donut
  - card risk gauge, budget waterfall, value scatter, error violins
- dashboard/viz/pitch.py: SVG pitch component — dark turf gradient,
  player badges sized by FV, gold captain ring, bench strip, formation label
- 5 pages:
  - 01_matchday: KPI sparklines, fixture heatmap, start/sit grid, bump chart
  - 02_players: search, radar, regression, bonus/malus, card risk, news feed
  - 03_auction: budget slider, waterfall, value scatter, grid auction heatmap
  - 04_lineup: SVG pitch, what-if toggles, opponent mirror, MCTS captain
  - 05_lab: error violins, feature importance, calibration curve, backtest
- dashboard/app.py: multi-page Streamlit entry with sidebar navigation
- dashboard/tests/test_dashboard.py: 18 unit tests (warehouse, template, charts, pitch)
- DASHBOARD.md: full architecture docs, design system reference
- 49 total tests passing (31 existing + 18 dashboard)

dashboard/warehouse.py

@@ -0,0 +1,41 @@
+"""Read-only warehouse layer. Dashboard reads ONLY from data/warehouse/.
+Cached with @st.cache_data. No imports from ML code.
+"""
+
+from pathlib import Path
+
+import pandas as pd
+
+ROOT = Path(__file__).resolve().parent.parent
+WAREHOUSE = ROOT / "data" / "warehouse"
+
+
+def _cache_key():
+    """Bust cache when parquet files change."""
+    files = sorted(WAREHOUSE.glob("*.parquet"))
+    mtimes = tuple(f.stat().st_mtime for f in files)
+    return (len(files), mtimes)
+
+
+def load_players() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "players.parquet")
+
+
+def load_fixtures() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "fixtures.parquet")
+
+
+def load_predictions() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "predictions.parquet")
+
+
+def load_lineups() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "lineups.parquet")
+
+
+def load_votes() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "votes.parquet")
+
+
+def load_model_metrics() -> pd.DataFrame:
+    return pd.read_parquet(WAREHOUSE / "model_metrics.parquet")