refactor: Update API and graph layout

app.py

@@ -10,7 +10,6 @@ import os
 from app_trans_new import create_transcation_visualizations,create_active_agents_visualizations
 from app_value_locked import fetch_daily_value_locked
 # Load environment variables from .env file
-
 # RPC URLs
 OPTIMISM_RPC_URL = os.getenv('OPTIMISM_RPC_URL')
 MODE_RPC_URL = os.getenv('MODE_RPC_URL')
@@ -156,6 +155,8 @@ def create_visualizations():
     df_transactions["is_swap"] = df_transactions.apply(lambda x: x["sending_chain"] == x["receiving_chain"], axis=1)
 
     swaps_per_chain = df_transactions[df_transactions["is_swap"]].groupby(["date", "sending_chain"]).size().reset_index(name="swap_count")
+
+    breakpoint()
     fig_swaps_chain = px.bar(
         swaps_per_chain,
         x="date",
@@ -178,13 +179,14 @@ def create_visualizations():
         yaxis=dict(tickmode='linear', tick0=0, dtick=1),
         xaxis=dict(
             tickmode='array',
-            tickvals=[d for d in swaps_per_chain['date'] if d.weekday() == 0],
-            ticktext=[d.strftime('%m-%d') for d in swaps_per_chain['date'] if d.weekday() == 0],
+            tickvals=[d for d in swaps_per_chain['date']],
+            ticktext=[d.strftime('%m-%d') for d in swaps_per_chain['date']],
             tickangle=-45,
         ),
         bargap=0.6,
         bargroupgap=0.1,
         height=600,
+        width=1200,
         margin=dict(l=50, r=50, t=50, b=50),
         showlegend=True,
         legend=dict(
@@ -222,13 +224,14 @@ def create_visualizations():
         yaxis=dict(tickmode='linear', tick0=0, dtick=1),
         xaxis=dict(
             tickmode='array',
-            tickvals=[d for d in bridges_per_chain['date'] if d.weekday() == 0],
-            ticktext=[d.strftime('%m-%d') for d in bridges_per_chain['date'] if d.weekday() == 0],
+            tickvals=[d for d in bridges_per_chain['date']],
+            ticktext=[d.strftime('%m-%d') for d in bridges_per_chain['date']],
             tickangle=-45,
         ),
         bargap=0.6,
         bargroupgap=0.1,
         height=600,
+        width=1200,
         margin=dict(l=50, r=50, t=50, b=50),
         showlegend=True,
         legend=dict(
@@ -284,6 +287,7 @@ def create_visualizations():
         ),
         bargap=0.6,
         height=600,
+        width=1200,
         margin=dict(l=50, r=50, t=50, b=50),
         showlegend=True,
         template='plotly_white'

app_trans_new.py

@@ -11,12 +11,15 @@ import time
 import os
 from itertools import product
 # RPC URLs
+from dotenv import load_dotenv
+load_dotenv()
+
 OPTIMISM_RPC_URL = os.getenv('OPTIMISM_RPC_URL')
 BASE_RPC_URL = os.getenv('BASE_RPC_URL')
 ETH_RPC_URL = os.getenv('ETH_RPC_URL')
 MODE_RPC_URL = os.getenv('MODE_RPC_URL')
 
-
+print(f"Optimism RPC URL: {OPTIMISM_RPC_URL}")
 
 # Initialize Web3 instances
 print("Initializing Web3 instances...")
@@ -321,7 +324,6 @@ def fetch_transactions():
                     print(f"No transactions found for agent address {agent_address} (safe address {safe_address}) on {single_date} on {chain_name.capitalize()}.")
 
     df_transactions_new = pd.DataFrame(all_transactions)
-    df_transactions_new = df_transactions_new[df_transactions_new['date'] != '2024-11-20']
     df_transactions_new.to_csv(csv_filename, index=False)
     return df_transactions_new
 

daily_transactions_new.csv

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