Update app.py

app.py

@@ -75,19 +75,28 @@ def df_to_grouped(df_in: pd.DataFrame) -> pd.DataFrame:
         rows.append(out)
     return pd.DataFrame(rows, columns=["label"] + list(SKILL_GROUPS.keys()))
 
-def plot_radar(df: pd.DataFrame, grouped: bool, title: str):
+def plot_radar(df: pd.DataFrame, grouped: bool, title: str, avg_label: str = None):
     if df.empty:
         return go.Figure()
 
     traces = []
     labels = list(SKILL_GROUPS.keys()) if grouped else SKILLS
+
     for _, r in df.iterrows():
         values = [0.0 if pd.isna(r.get(k)) else float(r.get(k)) for k in labels]
+        is_avg = avg_label and (str(r["label"]) == avg_label)
+
         traces.append(go.Scatterpolar(
             r=values + [values[0]],
             theta=labels + [labels[0]],
             name=r["label"],
             fill="toself",
+            line=dict(
+                width=4 if is_avg else 2,
+                dash="dash" if is_avg else "solid",
+                color="red" if is_avg else None
+            ),
+            opacity=0.7 if is_avg else 0.5
         ))
 
     fig = go.Figure(traces)
@@ -103,7 +112,6 @@ def plot_radar(df: pd.DataFrame, grouped: bool, title: str):
         margin=dict(l=30, r=30, t=60, b=30),
     )
     return fig
-
 # ------------------- Mongo -------------------
 def _get_secret(name: str) -> str | None:
     try: