cleaning code and changing logic for daily transcations

app.py

@@ -5,7 +5,7 @@ import plotly.express as px
 from datetime import datetime, timedelta
 import json
 from web3 import Web3
-from app_trans_new import create_transcation_visualizations
+#from app_trans_new import create_transcation_visualizations
 
 OPTIMISM_RPC_URL = 'https://opt-mainnet.g.alchemy.com/v2/U5gnXPYxeyH43MJ9tP8ONBQHEDRav7H0'
 
@@ -20,7 +20,7 @@ if not web3.is_connected():
 contract_address = '0x3d77596beb0f130a4415df3D2D8232B3d3D31e44'
 
 # Load the ABI from the provided JSON file
-with open('service_registry_abi.json', 'r') as abi_file:
+with open('./contracts/service_registry_abi.json', 'r') as abi_file:
     contract_abi = json.load(abi_file)
 
 # Now you can create the contract
@@ -101,24 +101,22 @@ def fetch_and_aggregate_transactions():
                 block = web3.eth.get_block(block_number)
                 creation_timestamp = datetime.fromtimestamp(block['timestamp'])
                 date_str = creation_timestamp.strftime('%Y-%m-%d')
-                
+                print("date_str",date_str)
                 if date_str not in daily_agent_counts:
                     daily_agent_counts[date_str] = set()
                 if date_str not in daily_agents_with_transactions:
                     daily_agents_with_transactions[date_str] = set()
-                
-                for agent_id in agent_ids:
-                    service_safe = service[1]
-                    print("agent_address",agent_address,"service_safe",service_safe)
-                    multisig_nonces = activity_checker_contract.functions.getMultisigNonces(service_safe).call()[0]
-                    if multisig_nonces > 0:
-                        daily_agents_with_transactions[date_str].add(agent_id)
-                    daily_agent_counts[date_str].add(agent_id)
+
+                service_safe = service[1]
+                print("agent_address",agent_address,"service_safe",service_safe)
+                multisig_nonces = activity_checker_contract.functions.getMultisigNonces(service_safe).call()[0]
+                if multisig_nonces > 0:
+                    daily_agents_with_transactions[date_str].add(agent_address)
+                daily_agent_counts[date_str].add(agent_address)
     
     # Convert set to count
     daily_agent_counts = {date: len(agents) for date, agents in daily_agent_counts.items()}
     daily_agents_with_transactions = {date: len(agents) for date, agents in daily_agents_with_transactions.items()}
-    
     return aggregated_transactions, daily_agent_counts, daily_agents_with_transactions
 
 # Function to parse the transaction data and prepare it for visualization
@@ -179,7 +177,7 @@ def process_transactions_and_agents(data):
 def create_visualizations():
     transactions_data = fetch_and_aggregate_transactions()
     df_transactions, df_agents_weekly, df_agents_with_transactions_weekly = process_transactions_and_agents(transactions_data)
-
+    print(df_agents_weekly)
     # Map chain IDs to chain names
     chain_name_map = {
         10: "Optimism",
@@ -310,9 +308,9 @@ def create_visualizations():
 def dashboard():
     with gr.Blocks() as demo:
         gr.Markdown("# Valory Transactions Dashboard")
-        with gr.Tab("Transactions"):
-            fig_tx_chain = create_transcation_visualizations()
-            gr.Plot(fig_tx_chain)
+        # with gr.Tab("Transactions"):
+        #     fig_tx_chain = create_transcation_visualizations()
+        #     gr.Plot(fig_tx_chain)
         # Fetch and display visualizations
         with gr.Tab("Swaps"):
             fig_swaps_chain, fig_bridges_chain, fig_agents_daily, fig_agents_with_transactions_daily = create_visualizations()

app_trans_new.py

@@ -6,6 +6,8 @@ from datetime import datetime, timedelta
 import json
 from web3 import Web3
 import time
+import os
+
 # RPC URLs
 OPTIMISM_RPC_URL = 'https://opt-mainnet.g.alchemy.com/v2/U5gnXPYxeyH43MJ9tP8ONBQHEDRav7H0'
 BASE_RPC_URL = 'https://base-mainnet.g.alchemy.com/v2/U5gnXPYxeyH43MJ9tP8ONBQHEDRav7H0'
@@ -23,7 +25,7 @@ contract_address_base = '0x3C1fF68f5aa342D296d4DEe4Bb1cACCA912D95fE'
 contract_address_eth = '0x48b6af7B12C71f09e2fC8aF4855De4Ff54e775cA'
 
 # Load the ABI from a local JSON file
-with open('service_registry_abi.json', 'r') as abi_file:
+with open('./contracts/service_registry_abi.json', 'r') as abi_file:
     contract_abi = json.load(abi_file)
 
 # Create the contract instances
@@ -72,15 +74,18 @@ service_safes_eth = {safe for safe in service_safes_eth if safe.lower() != '0x00
 
 def get_block_range_for_date(chain_id, date_str, api_key, base_url):
     """Get the block range for a specific date."""
-    target_date = datetime.strptime(date_str, "%Y-%m-%d")
+    target_date = datetime.strptime(date_str, "%Y-%m-%d").date()
     start_of_day = datetime.combine(target_date, datetime.min.time())
-    end_of_day = datetime.combine(target_date, datetime.max.time())
+    
+    if target_date == datetime.now().date():
+        end_of_day = datetime.now()  # Use the current time if the target date is today
+    else:
+        end_of_day = datetime.combine(target_date, datetime.max.time())
 
     start_timestamp = int(start_of_day.timestamp())
     end_timestamp = int(end_of_day.timestamp())
 
     # Get start block
-
     start_response = requests.get(
         f"{base_url}?module=block&action=getblocknobytime&timestamp={start_timestamp}&closest=before&apikey={api_key}"
     )
@@ -161,7 +166,6 @@ def date_range(start_date, end_date):
         current_dt += delta
 
 def fetch_transactions():
-    # User inputs
     api_keys = {
         'optimism': 'XQ72JA5XZ51QC7TG1W295AAIF4KTV92K1K',
         'base': '4BFQMVW1QUKEPVDA4VW711CF4462682CY8',
@@ -174,16 +178,29 @@ def fetch_transactions():
         1: "https://api.etherscan.io/api"
     }
 
-    start_date = '2024-09-19'  # Starting date
-    current_date = datetime.now().strftime('%Y-%m-%d')  # Till present date
+    current_date = datetime.today().strftime("%Y-%m-%d")
+    csv_filename = 'daily_transactions_new.csv'
+
+    if os.path.exists(csv_filename):
+        df_existing = pd.read_csv(csv_filename)
+        if 'date' in df_existing:
+            last_date_in_csv = df_existing['date'].max()
+        else:
+            df_existing['date'] = pd.to_datetime(df_existing['timestamp']).dt.date
+            last_date_in_csv = df_existing['date'].max()
+    else:
+        df_existing = pd.DataFrame()
+        last_date_in_csv = '2024-09-19'
+
+    start_date = (datetime.strptime(last_date_in_csv, "%Y-%m-%d") + timedelta(days=1)).strftime("%Y-%m-%d")
 
     chains = {
-        10: ('optimism', service_safes_optimism),      # Optimism chain ID and service safes
-        8453: ('base', service_safes_base),           # Base chain ID and service safes
-        1: ('ethereum', service_safes_eth)            # Ethereum mainnet chain ID and service safes
+        10: ('optimism', service_safes_optimism),
+        8453: ('base', service_safes_base),
+        1: ('ethereum', service_safes_eth)
     }
 
-    all_transactions = []  # List to hold all transactions
+    all_transactions = df_existing.to_dict('records') if not df_existing.empty else []
 
     for chain_id, (chain_name, service_safes) in chains.items():
         base_url = base_urls[chain_id]
@@ -218,14 +235,13 @@ def fetch_transactions():
                 else:
                     print(f"No transactions found for safe address {safe_address} on {single_date} on {chain_name.capitalize()}.")
 
-    # Convert the collected transactions into a DataFrame
     df_transactions_new = pd.DataFrame(all_transactions)
+    df_transactions_new.to_csv(csv_filename, index=False)
     return df_transactions_new
 
+
 def create_transcation_visualizations():
     df_transactions_new = fetch_transactions()
-    df_transactions_new.to_csv('daily_transactions_new.csv', index=False)
-
     df_transactions_new['timestamp'] = pd.to_datetime(df_transactions_new['timestamp'])
 
     # Group by date and chain, count transactions

daily_transactions_new.csv

@@ -0,0 +1,98 @@
+chain,safe_address,date,transaction_hash,timestamp,from,to,value_eth
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