Add week-over-week transaction metrics dashboard

app.py

@@ -0,0 +1,69 @@
+import requests
+import pandas as pd
+import gradio as gr
+import plotly.express as px
+from datetime import datetime
+
+# Function to fetch and process the transaction data from the API
+def fetch_transactions():
+    url = "https://li.quest/v1/analytics/transfers?integrator=valory"
+    headers = {"accept": "application/json"}
+    response = requests.get(url, headers=headers)
+    return response.json()
+
+# Function to parse the transaction data and prepare it for visualization
+def process_transactions(data):
+    transactions = data["transfers"]
+
+    # Convert the data into a pandas DataFrame for easy manipulation
+    rows = []
+    for tx in transactions:
+        rows.append({
+            "transactionId": tx["transactionId"],
+            "from": tx["fromAddress"],
+            "to": tx["toAddress"],
+            "token_symbol": tx["sending"]["token"]["symbol"],
+            "amount": float(tx["sending"]["amount"]) / (10 ** tx["sending"]["token"]["decimals"]),  # Normalize the amount
+            "amount_usd": float(tx["sending"]["amountUSD"]),
+            "gas_used": tx["sending"]["gasUsed"],
+            "timestamp": datetime.utcfromtimestamp(tx["sending"]["timestamp"]).strftime('%Y-%m-%d %H:%M:%S'),
+            "week": pd.to_datetime(datetime.utcfromtimestamp(tx["sending"]["timestamp"])).strftime('%Y-%W')  # Group by week
+        })
+    
+    df = pd.DataFrame(rows)
+    return df
+
+# Function to create week-over-week visualizations
+def create_wow_visualizations():
+    transactions_data = fetch_transactions()
+    df = process_transactions(transactions_data)
+
+    # Aggregate the data by week
+    weekly_data = df.groupby("week").agg({
+        "amount_usd": "sum",  # Total USD amount
+        "gas_used": "sum"     # Total gas used
+    }).reset_index()
+
+    # Plot: Total Transaction Amounts by Week
+    fig_amount = px.bar(weekly_data, x="week", y="amount_usd", title="Weekly Transaction Amounts in USD")
+
+    # Plot: Total Gas Used by Week
+    fig_gas = px.line(weekly_data, x="week", y="gas_used", title="Weekly Gas Used")
+
+    return fig_amount, fig_gas
+
+# Gradio interface
+def dashboard():
+    with gr.Blocks() as demo:
+        gr.Markdown("# Valory Transactions Dashboard (Week-over-Week)")
+
+        # Fetch and display visualizations
+        fig_amount, fig_gas = create_wow_visualizations()
+        gr.Plot(fig_amount)
+        gr.Plot(fig_gas)
+    
+    return demo
+
+# Launch the dashboard
+if __name__ == "__main__":
+    dashboard().launch()