Create data_ingestion.py

blockchain_integration/pi_network/features/ai-powered-risk-management-system/data_ingestion.py

@@ -0,0 +1,36 @@
+import pandas as pd
+from data_processing import load_transaction_data, load_market_data, load_network_data, load_user_behavior_data
+from risk_assessment import assess_risk
+
+def ingest_data(transaction_file, market_file, network_file, user_behavior_file):
+    """
+    Ingest data from various sources, assess risk, and store the results.
+
+    Args:
+        transaction_file (str): Path to transaction data CSV file
+        market_file (str): Path to market data CSV file
+        network_file (str): Path to network data CSV file
+        user_behavior_file (str): Path to user behavior data CSV file
+
+    Returns:
+        None
+    """
+    # Load data
+    transaction_data = load_transaction_data(transaction_file)
+    market_data = load_market_data(market_file)
+    network_data = load_network_data(network_file)
+    user_behavior_data = load_user_behavior_data(user_behavior_file)
+
+    # Preprocess data
+    transaction_data = preprocess_data(transaction_data)
+    market_data = preprocess_data(market_data)
+    network_data = preprocess_data(network_data)
+    user_behavior_data = preprocess_data(user_behavior_data)
+
+    # Assess risk
+    risk_scores = assess_risk(transaction_file, market_file, network_file)
+
+    # Store the results (e.g., in a database or file)
+    # TO DO: implement storage logic
+
+    return None