refactor: Update the graph for Nr of Agents Registered

app.py

@@ -1,6 +1,7 @@
 import requests
 import pandas as pd
 import gradio as gr
+import plotly.graph_objects as go
 import plotly.express as px
 from datetime import datetime, timedelta
 import json
@@ -295,26 +296,39 @@ def create_visualizations():
     )
     fig_bridges_chain.update_xaxes(tickformat="%Y-%m-%d")
 
-    # Number of agents per week
-    fig_agents_daily = px.bar(
-        df_agents_weekly,
-        x="week",
-        y="agent_count",
-        title="Number of Agents Registered WoW",
-        labels={"week": "Week", "agent_count": "Number of Agents"},
-        color_discrete_sequence=["purple"]
-    )
-    fig_agents_daily.update_layout(
-        xaxis_title=None,
-        yaxis=dict(tickmode='linear', tick0=0, dtick=1),
+    # Nr of agents registered daily and weekly
+    df_agents_with_transactions['date'] = pd.to_datetime(df_agents_with_transactions['date'])
+    daily_agents_df = df_agents_with_transactions.groupby(df_agents_with_transactions['date']).size().reset_index(name='agent_count')
+    weekly_agents_df = df_agents_with_transactions.groupby(df_agents_with_transactions['date'].dt.to_period("W").apply(lambda r: r.start_time)).size().reset_index(name='agent_count')
+
+    fig_agents_registered = go.Figure(data=[
+        go.Bar(
+            name='Daily nr of Registered Agents',
+            x=daily_agents_df['date'],
+            y=daily_agents_df['agent_count'],
+            marker_color='blue'
+        ),
+        go.Bar(
+            name='Total Weekly Nr of Registered Agents',
+            x=weekly_agents_df['date'],
+            y=weekly_agents_df['agent_count'],
+            marker_color='purple'
+        )
+    ])
+    fig_agents_registered.update_layout(
+        xaxis_title='Date',
+        yaxis_title='Number of Agents',
+        title="Nr of Agents Registered",
+        barmode='group',
+        tickmode='linear', tick0=0, dtick=1,
         xaxis=dict(
             tickmode='array',
-            tickvals=df_agents_weekly['week'],
-            ticktext=df_agents_weekly['week'].dt.strftime('%b %d'),
-            tickangle=0
+            tickvals=weekly_agents_df['date'],
+            ticktext=[f'Mon {d.strftime("%b %d")}' for d in weekly_agents_df['date']],
+            tickangle=-45
         ),
-        bargap=0.8,
         height=700,
+        bargap=0.8
     )
         # Calculate weekly average daily active agents
     df_agents_with_transactions['day_of_week'] = df_agents_with_transactions['date'].dt.dayofweek
@@ -341,7 +355,7 @@ def create_visualizations():
         height=700,
     )
 
-    return fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl
+    return fig_swaps_chain, fig_bridges_chain, fig_agents_registered, fig_agents_with_transactions_daily,fig_tvl
 
 # Gradio interface
 def dashboard():
@@ -351,7 +365,7 @@ def dashboard():
             fig_tx_chain = create_transcation_visualizations()
             gr.Plot(fig_tx_chain)
 
-        fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()    
+        fig_swaps_chain, fig_bridges_chain, fig_agents_registered, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()    
         #Fetch and display visualizations
         with gr.Tab("Swaps"):
             gr.Plot(fig_swaps_chain)
@@ -360,9 +374,9 @@ def dashboard():
             #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()
             gr.Plot(fig_bridges_chain)
         
-        with gr.Tab("Agents Week Over Week"):
+        with gr.Tab("Nr of Agents Registered"):
             #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()
-            gr.Plot(fig_agents_daily)
+            gr.Plot(fig_agents_registered)
         
         with gr.Tab("DAA"):
             #fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily,fig_tvl = create_visualizations()