added vanity transcations

app.py

@@ -31,6 +31,14 @@ def get_transfers(integrator: str, wallet: str) -> str:
     response = requests.get(url, headers=headers)
     return response.json()
 
+def get_vanity_transactions(date):
+    # Placeholder function to return 4 vanity transactions for the given date
+    return pd.DataFrame({
+        'date': [date] * 4,
+        'sending_chain': ['Optimism'] * 4,
+        'transaction_count': [1] * 4  # Each vanity transaction counts as 1
+    })
+
 def fetch_and_aggregate_transactions():
     total_services = service_registry.functions.totalSupply().call()
     aggregated_transactions = []
@@ -106,8 +114,18 @@ 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 for each day
+    date_range = pd.date_range(start=df['date'].min(), end=df['date'].max())
+    vanity_transactions = pd.concat([get_vanity_transactions(date) for date in date_range])
+
+    # Combine actual and vanity transactions
+    tx_per_chain = pd.concat([tx_per_chain, vanity_transactions]).groupby(["date", "sending_chain"]).sum().reset_index()
+    # Total transactions per chain per day
+    #tx_per_chain = df.groupby(["date", "sending_chain"]).size().reset_index(name="transaction_count")
     fig_tx_chain = px.bar(
         tx_per_chain,
         x="date",
@@ -116,7 +134,7 @@ def create_visualizations():
         title="Chain Daily Activity: Transactions",
         labels={"sending_chain": "Transaction Chain","transaction_count": "Daily Transaction Nr"},
         barmode="stack",
-        color_discrete_sequence=["purple", "darkgreen"]
+        color_discrete_sequence=["purple", "darkgreen", "blue"]
     )
     fig_tx_chain.update_layout(
         xaxis_title=None,