reverting changes

app.py

@@ -88,16 +88,6 @@ def process_transactions(data):
     df = pd.DataFrame(rows)
     return df
 
-# Function to get vanity transactions
-def get_vanity_transactions(date):
-    # Placeholder logic: returns 4 vanity transactions for the given date
-    vanity_transactions = pd.DataFrame({
-        "date": [date] * 4,
-        "sending_chain": ["Optimism"] * 4,
-        "transaction_count": [4] * 4
-    })
-    return vanity_transactions
-
 # Function to create visualizations based on the metrics
 def create_visualizations():
     transactions_data = fetch_and_aggregate_transactions()
@@ -116,18 +106,8 @@ def create_visualizations():
     df["sending_chain"] = df["sending_chain"].astype(str)
     df["receiving_chain"] = df["receiving_chain"].astype(str)
     df['date'] = pd.to_datetime(df['date'])
-
     # Total transactions per chain per day
     tx_per_chain = df.groupby(["date", "sending_chain"]).size().reset_index(name="transaction_count")
-
-    # Add vanity transactions
-    today_date = datetime.utcnow().date()
-    vanity_tx = get_vanity_transactions(today_date)
-    tx_per_chain = pd.concat([tx_per_chain, vanity_tx], ignore_index=True)
-
-    # Convert the 'date' column to datetime again after concatenation
-    tx_per_chain['date'] = pd.to_datetime(tx_per_chain['date'])
-
     fig_tx_chain = px.bar(
         tx_per_chain,
         x="date",