chore: added grpahs for swaps and corrected the plots for Transcations graph

app.py

@@ -106,35 +106,46 @@ def create_visualizations():
     df["sending_chain"] = df["sending_chain"].astype(str)
     df["receiving_chain"] = df["receiving_chain"].astype(str)
 
-    # 1. Chain Daily Activity: Transactions
-    tx_per_chain_agent = df.groupby(["date", "sending_chain"]).size().reset_index(name="transaction_count")
-    fig_tx_chain_agent = px.bar(
-        tx_per_chain_agent, 
-        x="date", 
-        y="transaction_count", 
-        color="sending_chain", 
-        title="Chain Daily Activity: Transactions", 
-        labels={"transaction_count": "Daily Transaction Nr"}, 
+    # Total transactions per chain per day
+    tx_per_chain = df.groupby(["date", "sending_chain"]).size().reset_index(name="transaction_count")
+    fig_tx_chain = px.bar(
+        tx_per_chain,
+        x="date",
+        y="transaction_count",
+        color="sending_chain",
+        title="Chain Daily Activity: Transactions",
+        labels={"transaction_count": "Daily Transaction Nr"},
         barmode="stack"
     )
+    fig_tx_chain.update_layout(xaxis_title=None)
 
-    # 2. Number of Opportunities Taken per Agent per Day
+    # Identify swap transactions
+    df["is_swap"] = df.apply(lambda x: x["sending_token_symbol"] != x["receiving_token_symbol"], axis=1)
+
+    # Total swaps per chain per day
+    swaps_per_chain = df[df["is_swap"]].groupby(["date", "sending_chain"]).size().reset_index(name="swap_count")
+    fig_swaps_chain = px.bar(
+        swaps_per_chain,
+        x="date",
+        y="swap_count",
+        color="sending_chain",
+        title="Chain Daily Activity: Swaps",
+        labels={"swap_count": "Daily Swap Nr"},
+        barmode="stack"
+    )
+    fig_swaps_chain.update_layout(xaxis_title=None)
+
+    # Opportunities per agent per day
     opportunities_per_agent = df.groupby(["date", "from_address"]).size().reset_index(name="opportunities_taken")
     fig_opportunities_agent = px.bar(opportunities_per_agent, x="date", y="opportunities_taken", color="from_address",
                                      title="Number of Opportunities Taken per Agent per Day")
 
-    # 3. Amount of Investment in Pools Daily per Agent (Note: Assuming sending_amount_usd as investment)
-    # Since we might not have explicit data about pool investments, we'll use sending_amount_usd
+    # Investment per agent per day
     investment_per_agent = df.groupby(["date", "from_address"])["sending_amount_usd"].sum().reset_index()
     fig_investment_agent = px.bar(investment_per_agent, x="date", y="sending_amount_usd", color="from_address",
                                   title="Amount of Investment (USD) per Agent per Day")
 
-    # 4. Number of Swaps per Day
-    df["is_swap"] = df.apply(lambda x: x["sending_token_symbol"] != x["receiving_token_symbol"], axis=1)
-    swaps_per_day = df[df["is_swap"]].groupby("date").size().reset_index(name="swap_count")
-    fig_swaps_per_day = px.bar(swaps_per_day, x="date", y="swap_count", title="Number of Swaps per Day")
-
-    # 5. Aggregated Metrics over All Traders
+    # Aggregated metrics over all traders
     amount_usd = df["sending_amount_usd"]
     stats = {
         "Total": amount_usd.sum(),
@@ -147,10 +158,10 @@ def create_visualizations():
     }
     stats_df = pd.DataFrame(list(stats.items()), columns=["Metric", "Value"])
 
-    # Visualization for Aggregated Metrics
+    # Visualization for aggregated metrics
     fig_stats = px.bar(stats_df, x="Metric", y="Value", title="Aggregated Transaction Amount Metrics (USD)")
 
-    return fig_tx_chain_agent, fig_opportunities_agent, fig_investment_agent, fig_swaps_per_day, fig_stats
+    return fig_tx_chain, fig_swaps_chain, fig_opportunities_agent, fig_investment_agent, fig_stats
 
 # Gradio interface
 def dashboard():
@@ -158,22 +169,22 @@ def dashboard():
         gr.Markdown("# Valory Transactions Dashboard")
 
         # Fetch and display visualizations
-        with gr.Tab("Transactions per Chain per Agent"):
-            fig_tx_chain_agent, _, _, _, _ = create_visualizations()
-            gr.Plot(fig_tx_chain_agent)
+        with gr.Tab("Transactions per Chain"):
+            fig_tx_chain, _, _, _, _ = create_visualizations()
+            gr.Plot(fig_tx_chain)
+
+        with gr.Tab("Swaps per Chain"):
+            _, fig_swaps_chain, _, _, _ = create_visualizations()
+            gr.Plot(fig_swaps_chain)
         
         with gr.Tab("Opportunities per Agent"):
-            _, fig_opportunities_agent, _, _, _ = create_visualizations()
+            _, _, fig_opportunities_agent, _, _ = create_visualizations()
             gr.Plot(fig_opportunities_agent)
         
         with gr.Tab("Investment per Agent"):
-            _, _, fig_investment_agent, _, _ = create_visualizations()
+            _, _, _, fig_investment_agent, _ = create_visualizations()
             gr.Plot(fig_investment_agent)
         
-        with gr.Tab("Swaps per Day"):
-            _, _, _, fig_swaps_per_day, _ = create_visualizations()
-            gr.Plot(fig_swaps_per_day)
-        
         with gr.Tab("Aggregated Metrics"):
             _, _, _, _, fig_stats = create_visualizations()
             gr.Plot(fig_stats)