updating graphs

app.py

@@ -10,11 +10,6 @@ from app_trans_new import create_transcation_visualizations,create_active_agents
 from app_value_locked import fetch_daily_value_locked
 import os
 
-from dotenv import load_dotenv
-
-# Load environment variables from .env file
-load_dotenv()
-
 OPTIMISM_RPC_URL = os.getenv('OPTIMISM_RPC_URL')
 print('OPTIMISM_RPC_URL',OPTIMISM_RPC_URL)
 # Initialize a Web3 instance
@@ -183,63 +178,62 @@ def create_visualizations():
     df_transactions, df_agents_weekly, df_agents_with_transactions_weekly, df_agents_with_transactions = process_transactions_and_agents(transactions_data)
     # Map chain IDs to chain names
 
-    #     # Fetch daily value locked data
-    # df_tvl = fetch_daily_value_locked()
-
-    # # Calculate total value locked per chain per day
-    # df_tvl["total_value_locked_usd"] = df_tvl["amount0_usd"] + df_tvl["amount1_usd"]
-    # df_tvl_daily = df_tvl.groupby(["date", "chain_name"])["total_value_locked_usd"].sum().reset_index()
-    # df_tvl_daily['date'] = pd.to_datetime(df_tvl_daily['date'])
-
-    # # Filter out dates with zero total value locked
-    # df_tvl_daily = df_tvl_daily[df_tvl_daily["total_value_locked_usd"] > 0]
-    # chain_name_map = {
-    #     "optimism": "Optimism",
-    #     "base": "Base",
-    #     "ethereum": "Ethereum"
-    # }
-    # df_tvl_daily["chain_name"] = df_tvl_daily["chain_name"].map(chain_name_map)
+        # Fetch daily value locked data
+    df_tvl = fetch_daily_value_locked()
+
+    # Calculate total value locked per chain per day
+    df_tvl["total_value_locked_usd"] = df_tvl["amount0_usd"] + df_tvl["amount1_usd"]
+    df_tvl_daily = df_tvl.groupby(["date", "chain_name"])["total_value_locked_usd"].sum().reset_index()
+    df_tvl_daily['date'] = pd.to_datetime(df_tvl_daily['date'])
+
+    # Filter out dates with zero total value locked
+    df_tvl_daily = df_tvl_daily[df_tvl_daily["total_value_locked_usd"] > 0]
+    chain_name_map = {
+        "optimism": "Optimism",
+        "base": "Base",
+        "ethereum": "Ethereum"
+    }
+    df_tvl_daily["chain_name"] = df_tvl_daily["chain_name"].map(chain_name_map)
     
-    # # Plot total value locked
-    # fig_tvl = px.bar(
-    #     df_tvl_daily,
-    #     x="date",
-    #     y="total_value_locked_usd",
-    #     color="chain_name",
-    #     opacity=0.7,
-    #     title="Total Volume Invested in Pools in Different Chains Daily",
-    #     labels={"date": "Date","chain_name": "Transaction Chain", "total_value_locked_usd": "Total Volume Invested (USD)"},
-    #     barmode='stack',
-    #     color_discrete_map={
-    #         "Optimism": "blue",
-    #         "Base": "purple",
-    #         "Ethereum": "darkgreen"
-    #     }
-    # )
-    # fig_tvl.update_layout(
-    #     xaxis_title=None,
-    #     yaxis=dict(tickmode='linear', tick0=0, dtick=1),
-    #     xaxis=dict(
-    #         tickmode='array',
-    #         tickvals=df_tvl_daily['date'],
-    #         ticktext=df_tvl_daily['date'].dt.strftime('%b %d'),
-    #         tickangle=-45,
-    #     ),
-    #     bargap=0.6,  # Increase gap between bar groups (0-1)
-    #     bargroupgap=0.1,  # Decrease gap between bars in a group (0-1)
-    #     height=600, # Specify width to prevent bars from being too wide
-    #     margin=dict(l=50, r=50, t=50, b=50),  # Add margins
-    #     showlegend=True,
-    #     template='plotly_white'
-    # )
-    # fig_tvl.update_xaxes(tickformat="%b %d") 
+    # Plot total value locked
+    fig_tvl = px.bar(
+        df_tvl_daily,
+        x="date",
+        y="total_value_locked_usd",
+        color="chain_name",
+        opacity=0.7,
+        title="Total Volume Invested in Pools in Different Chains Daily",
+        labels={"date": "Date","chain_name": "Transaction Chain", "total_value_locked_usd": "Total Volume Invested (USD)"},
+        barmode='stack',
+        color_discrete_map={
+            "Optimism": "blue",
+            "Base": "purple",
+            "Ethereum": "darkgreen"
+        }
+    )
+    fig_tvl.update_layout(
+        xaxis_title=None,
+        yaxis=dict(tickmode='linear', tick0=0, dtick=1),
+        xaxis=dict(
+            tickmode='array',
+            tickvals=df_tvl_daily['date'],
+            ticktext=df_tvl_daily['date'].dt.strftime('%b %d'),
+            tickangle=-45,
+        ),
+        bargap=0.6,  # Increase gap between bar groups (0-1)
+        bargroupgap=0.1,  # Decrease gap between bars in a group (0-1)
+        height=600, # Specify width to prevent bars from being too wide
+        margin=dict(l=50, r=50, t=50, b=50),  # Add margins
+        showlegend=True,
+        template='plotly_white'
+    )
+    fig_tvl.update_xaxes(tickformat="%b %d") 
     
 
     chain_name_map = {
         10: "Optimism",
         8453: "Base",
         1: "Ethereum",
-        34443: "Mode"
     }
     df_transactions["sending_chain"] = df_transactions["sending_chain"].map(chain_name_map)
     df_transactions["receiving_chain"] = df_transactions["receiving_chain"].map(chain_name_map)
@@ -435,15 +429,15 @@ def create_visualizations():
         )
     )
 
-    return fig_swaps_chain, fig_bridges_chain, fig_agents_registered, fig_agents_with_transactions_daily
+    return fig_swaps_chain, fig_bridges_chain, fig_agents_registered, fig_agents_with_transactions_daily,fig_tvl
 
 # Gradio interface
 def dashboard():
     with gr.Blocks() as demo:
         gr.Markdown("# Valory Transactions Dashboard")
-        # with gr.Tab("Chain Daily activity"):
-        #     fig_tx_chain = create_transcation_visualizations()
-        #     gr.Plot(fig_tx_chain)
+        with gr.Tab("Chain Daily activity"):
+            fig_tx_chain = create_transcation_visualizations()
+            gr.Plot(fig_tx_chain)
 
         fig_swaps_chain, fig_bridges_chain, fig_agents_registered, fig_agents_with_transactions_daily = create_visualizations()    
         #Fetch and display visualizations
@@ -458,14 +452,14 @@ def dashboard():
             #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()
             gr.Plot(fig_agents_registered)
         
-        # with gr.Tab("DAA"):
-        #     fig_agents_with_transactions_daily = create_active_agents_visualizations()
-        #     #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()
-        #     gr.Plot(fig_agents_with_transactions_daily)
-
-        # with gr.Tab("Total Value Locked"):
-        #     #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily, fig_tvl,fig_tvl = create_visualizations()
-        #     gr.Plot(fig_tvl) 
+        with gr.Tab("DAA"):
+            fig_agents_with_transactions_daily = create_active_agents_visualizations()
+            #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()
+            gr.Plot(fig_agents_with_transactions_daily)
+
+        with gr.Tab("Total Value Locked"):
+            #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily, fig_tvl,fig_tvl = create_visualizations()
+            gr.Plot(fig_tvl) 
 
     return demo