Update app.py

app.py

@@ -30,6 +30,7 @@ CROSS_W = 450    # px (matplotlib figure size; Streamlit will still scale)
 CROSS_H = 450
 TRACK_H = 740    # px (plotly height; width auto-fits column)
 FONT_SZ  = 13
+BOLD_FONT = "Arial Black, Arial, sans-serif"  # used for bold axis titles & ticks
 
 # =========================
 # Page / CSS
@@ -199,7 +200,12 @@ def cross_plot_static(actual, pred):
 # =========================
 # Track plot (Plotly)
 # =========================
-def track_plot(df, include_actual=True):
+
+    ticks="outside",
+    showline=True, linewidth=1.2, linecolor="#444", mirror=True,
+    showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
+)
+    return figdef track_plot(df, include_actual=True):
     depth_col = next((c for c in df.columns if 'depth' in str(c).lower()), None)
     if depth_col is not None:
         y = pd.Series(df[depth_col]).astype(float)
@@ -224,18 +230,18 @@ def track_plot(df, include_actual=True):
         x=df["UCS_Pred"], y=y, mode="lines",
         line=dict(color=COLORS["pred"], width=1.8),
         name="UCS_Pred",
-        hovertemplate="UCS_Pred: %{x:.0f}<br>"+ylab+": %{y}<extra></extra>"
+        hovertemplate="UCS_Pred: %{x:.0f}<br>" + ylab + ": %{y}<extra></extra>"
     ))
     if include_actual and TARGET in df.columns:
         fig.add_trace(go.Scatter(
             x=df[TARGET], y=y, mode="lines",
             line=dict(color=COLORS["actual"], width=2.0, dash="dot"),
             name="UCS (actual)",
-            hovertemplate="UCS (actual): %{x:.0f}<br>"+ylab+": %{y}<extra></extra>"
+            hovertemplate="UCS (actual): %{x:.0f}<br>" + ylab + ": %{y}<extra></extra>"
         ))
 
     fig.update_layout(
-        height=TRACK_H, width=None,  # width automatically fits the column
+        height=TRACK_H, width=None,  # width auto-fits the column
         paper_bgcolor="#fff", plot_bgcolor="#fff",
         margin=dict(l=64, r=16, t=36, b=48), hovermode="closest",
         font=dict(size=FONT_SZ),
@@ -245,33 +251,35 @@ def track_plot(df, include_actual=True):
         ),
         legend_title_text=""
     )
-    BOLD = "Arial Black, Arial, sans-serif"   # or "Open Sans Bold", "Helvetica Neue", etc.
-
-fig.update_xaxes(
-    title_text="UCS (psi)",
-    title_font=dict(size=16, family=BOLD),   # ← bold axis title
-    tickfont=dict(size=13, family=BOLD),     # ← bold tick labels
-    side="top",
-    range=[xmin, xmax],
-    ticks="outside",
-    tickformat=",.0f",
-    tickmode="auto",
-    tick0=tick0,
-    showline=True, linewidth=1.2, linecolor="#444", mirror=True,
-    showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
-)
 
-fig.update_yaxes(
-    title_text=ylab,
-    title_font=dict(size=16, family=BOLD),   # ← bold axis title
-    tickfont=dict(size=13, family=BOLD),     # ← bold tick labels
-    range=y_range,
-    ticks="outside",
-    showline=True, linewidth=1.2, linecolor="#444", mirror=True,
-    showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
-)
+    # ✅ These must stay inside the function (properly indented)
+    fig.update_xaxes(
+        title_text="UCS (psi)",
+        title_font=dict(size=16, family=BOLD_FONT),
+        tickfont=dict(size=13, family=BOLD_FONT),
+        side="top",
+        range=[xmin, xmax],
+        ticks="outside",
+        tickformat=",.0f",
+        tickmode="auto",
+        tick0=tick0,
+        showline=True, linewidth=1.2, linecolor="#444", mirror=True,
+        showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
+    )
+
+    fig.update_yaxes(
+        title_text=ylab,
+        title_font=dict(size=16, family=BOLD_FONT),
+        tickfont=dict(size=13, family=BOLD_FONT),
+        range=y_range,
+        ticks="outside",
+        showline=True, linewidth=1.2, linecolor="#444", mirror=True,
+        showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
+    )
+
     return fig
 
+
 # ---------- Preview modal (matplotlib) ----------
 def preview_tracks(df: pd.DataFrame, cols: list[str]):
     cols = [c for c in cols if c in df.columns]