Update app.py

app.py

@@ -123,7 +123,7 @@ def plot_ladder(df: pd.DataFrame):
         ax.bar(pivot.index, assets, label="Assets")
         ax.bar(pivot.index, -sof, label="SoF")
         ax.axhline(0, color="gray", lw=1)
-        ax.set_ylabel("LKR (mn)")
+        ax.set_ylabel("LKR (Mn)")
         ax.set_title("Maturity Ladder (Assets vs SoF)")
         ax.legend()
         fig.tight_layout()
@@ -156,7 +156,7 @@ SELECT
     ELSE 'T+31+'
   END AS time_bucket,
   bucket,
-  SUM(Portfolio_value) AS amount
+  SUM(Portfolio_value) / 1000000.0 AS "Amount (LKR Mn)"
 FROM {VIEW_FQN}
 GROUP BY 1,2
 ORDER BY 1,2;
@@ -173,7 +173,7 @@ def irr_sql(cols: List[str]) -> str:
     return f"""
     SELECT
       bucket,
-      SUM(Portfolio_value) / 1000000.0 AS "Portfolio Value (mn)"
+      SUM(Portfolio_value) / 1000000.0 AS "Portfolio Value (LKR Mn)"
     FROM {VIEW_FQN}
     GROUP BY bucket
     """
@@ -210,20 +210,27 @@ def run_dashboard() -> Tuple[str, str, str, str, str, Any, pd.DataFrame, pd.Data
         # 4) Ladder & IRR
         ladder = conn.execute(LADDER_SQL).fetchdf()
         irr    = conn.execute(irr_sql(cols)).fetchdf()
-        # Format IRR dataframe to 2 decimal places
-        if "Portfolio Value (mn)" in irr.columns:
-            irr["Portfolio Value (mn)"] = irr["Portfolio Value (mn)"].map('{:,.2f}'.format)
+        if "Portfolio Value (LKR Mn)" in irr.columns:
+            irr["Portfolio Value (LKR Mn)"] = irr["Portfolio Value (LKR Mn)"].map('{:,.2f}'.format)
 
         # 5) Chart
         fig = plot_ladder(ladder)
 
-        status = f"✅ OK (as of {pd.Timestamp.now().strftime('%Y-%m-%d %H:%M:%S')})"
+        assets_t1_mn_str = f"{(assets_t1 / 1_000_000):,.2f}"
+        sof_t1_mn_str = f"{(sof_t1 / 1_000_000):,.2f}"
+        net_gap_mn_str = f"{(net_gap / 1_000_000):,.2f}"
+
+        a1_text = f"The amount of Assets maturing tomorrow (T+1) is **LKR {assets_t1_mn_str} Mn**."
+        a2_text = f"The amount of Sources of Funds (SoF) maturing tomorrow (T+1) is **LKR {sof_t1_mn_str} Mn**."
+        a3_text = f"The resulting Net Liquidity Gap for tomorrow (T+1) is **LKR {net_gap_mn_str} Mn**."
+
+        status = f"Connected to Database (as of {pd.Timestamp.now().strftime('%Y-%m-%d %H:%M:%S')})"
         return (
             status,
             as_of,
-            f"{(assets_t1 / 1_000_000):,.2f}",
-            f"{(sof_t1 / 1_000_000):,.2f}",
-            f"{(net_gap / 1_000_000):,.2f}",
+            a1_text,
+            a2_text,
+            a3_text,
             fig,
             ladder,
             irr,
@@ -258,10 +265,9 @@ with gr.Blocks(title=APP_TITLE) as demo:
     with gr.Row():
         as_of = gr.Textbox(label="As of date", interactive=False)
 
-    with gr.Row():
-        a1 = gr.Textbox(label="Assets T+1 (LKR mn)", interactive=False)
-        a2 = gr.Textbox(label="SoF T+1 (LKR mn)", interactive=False)
-        a3 = gr.Textbox(label="Net Gap T+1 (LKR mn)", interactive=False)
+    a1 = gr.Markdown("The amount of Assets maturing tomorrow (T+1) is...")
+    a2 = gr.Markdown("The amount of Sources of Funds (SoF) maturing tomorrow (T+1) is...")
+    a3 = gr.Markdown("The resulting Net Liquidity Gap for tomorrow (T+1) is...")
 
     chart = gr.Plot(label="Maturity Ladder")
     ladder_df = gr.Dataframe(label="Ladder Detail")