refactor: Update daily and weekly agent counts

app.py

@@ -6,7 +6,7 @@ import plotly.express as px
 from datetime import datetime, timedelta
 import json
 from web3 import Web3
-from app_trans_new import create_transcation_visualizations
+from app_trans_new import create_transcation_visualizations,create_active_agents_visualizations
 from app_value_locked import fetch_daily_value_locked
 OPTIMISM_RPC_URL = 'https://opt-mainnet.g.alchemy.com/v2/U5gnXPYxeyH43MJ9tP8ONBQHEDRav7H0'
 
@@ -270,7 +270,7 @@ def create_visualizations():
             tickmode='array',
             tickvals=[d for d in swaps_per_chain['date'] if d.weekday() == 0],  # Show only Mondays
             ticktext=[d.strftime('%m-%d') for d in swaps_per_chain['date'] if d.weekday() == 0],
-            tickangle=45,
+            tickangle=-45,
         ),
         bargap=0.6,  # Increase gap between bar groups (0-1)
         bargroupgap=0.1,  # Decrease gap between bars in a group (0-1)
@@ -315,7 +315,7 @@ def create_visualizations():
             tickmode='array',
             tickvals=[d for d in bridges_per_chain['date'] if d.weekday() == 0],  # Show only Mondays
             ticktext=[d.strftime('%m-%d') for d in bridges_per_chain['date'] if d.weekday() == 0],
-            tickangle=45,
+            tickangle=-45,
         ),
         bargap=0.6,  # Increase gap between bar groups (0-1)
         bargroupgap=0.1,  # Decrease gap between bars in a group (0-1)
@@ -455,6 +455,7 @@ def dashboard():
             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)
 

app_trans_new.py

@@ -249,7 +249,13 @@ def create_transcation_visualizations():
     # Group by date and chain, count transactions
     daily_counts = df_transactions_new.groupby([df_transactions_new['timestamp'].dt.date, 'chain']).size().unstack(fill_value=0)
 
-    daily_counts = daily_counts[['optimism', 'base', 'ethereum']]
+        # Ensure required chains are present
+    chains = ['optimism', 'base', 'ethereum']
+    for chain in chains:
+        if chain not in daily_counts.columns:
+            daily_counts[chain] = 0
+
+    daily_counts = daily_counts[chains]
 
     # Read the original data
     daily_counts['timestamp'] = daily_counts.index
@@ -383,6 +389,47 @@ def create_transcation_visualizations():
     # Show the plot
     return fig
 
+def create_active_agents_visualizations():
+    df_transactions_new = fetch_transactions()
+    df_transactions_new['timestamp'] = pd.to_datetime(df_transactions_new['timestamp'])
+    
+    # Extract week and day information
+    df_transactions_new['week_start'] = df_transactions_new['timestamp'].dt.to_period('W').apply(lambda r: r.start_time)
+    df_transactions_new['weekday'] = df_transactions_new['timestamp'].dt.weekday
+    
+    # Count unique agents per day
+    daily_agents = df_transactions_new.groupby(['week_start', 'weekday'])['from'].nunique().reset_index()
+    
+    # Compute average unique agents per week
+    weekly_avg_agents = daily_agents.groupby('week_start')['from'].mean().reset_index()
+    weekly_avg_agents.rename(columns={'from': 'avg_daily_active_agents'}, inplace=True)
+    
+    # Prepare data for plotting
+    weeks = weekly_avg_agents['week_start'].unique()
+    avg_agents_per_week = weekly_avg_agents['avg_daily_active_agents']
+    
+    # Create the bar chart
+    fig = go.Figure()
+    
+    fig.add_trace(go.Bar(
+        x=[f'Week of {week.strftime("%b %d")}' for week in weeks],
+        y=avg_agents_per_week,
+        name='Active Agents',
+        marker_color='blue'
+    ))
+    
+    # Update layout
+    fig.update_layout(
+        title='Daily Active Agents: Weekly Average Number of Agents with at Least 1 Transaction Daily',
+        xaxis_title='Week',
+        yaxis_title='Average Number of Active Agents',
+        xaxis=dict(
+            tickangle=-45  # Rotate x-axis labels to 45 degrees
+        ),
+        template='plotly_white'
+    )
+    
+    return fig
 
 
 # Gradio interface
@@ -394,6 +441,9 @@ def dashboard():
         with gr.Tab("Transactions"):
             fig_tx_chain = create_transcation_visualizations()
             gr.Plot(fig_tx_chain)
+        with gr.Tab("DAA"):
+            fig_active_agents = create_active_agents_visualizations()
+            gr.Plot(fig_active_agents)    
 
         # Add more tabs as needed...