feat: Implemented expanded monitoring

SPEC.md

@@ -33,6 +33,12 @@ The project will be composed of the following files:
 - The agent must be able to collect and parse network metrics.
 - The parsing of this data should result in a structured format (JSON or Python dictionary).
 
+### 3.3. Monitored Metrics
+
+- **CPU Temperature**: The agent will monitor the CPU temperature.
+- **GPU Temperature**: The agent will monitor the GPU temperature.
+- **System Login Attempts**: The agent will monitor system login attempts.
+
 ### 3.3. LLM Analysis
 
 - The agent must use a local LLM (via Ollama) to analyze the collected data.

monitor_agent.py

@@ -7,6 +7,7 @@ import ollama
 from discord_webhook import DiscordWebhook
 import requests
 import data_storage
+import jc
 
 # Load configuration
 import config
@@ -42,6 +43,53 @@ def get_network_metrics():
         print(f"Error parsing network metrics: {e}")
         return None
 
+def get_cpu_temperature():
+    """Gets the CPU temperature using the sensors command."""
+    try:
+        sensors_output = subprocess.check_output(["sensors"], text=True)
+        parsed_sensors = jc.parse('sensors', sensors_output)
+        # This is a simplified example, you may need to adjust the parsing logic based on your specific hardware
+        cpu_temp = parsed_sensors[0]['values'][0]['input']
+        return {"cpu_temperature": cpu_temp}
+    except (subprocess.CalledProcessError, FileNotFoundError, KeyError, IndexError) as e:
+        print(f"Error getting CPU temperature: {e}")
+        return None
+
+def get_gpu_temperature():
+    """Gets the GPU temperature using the sensors command."""
+    try:
+        sensors_output = subprocess.check_output(["sensors"], text=True)
+        parsed_sensors = jc.parse('sensors', sensors_output)
+        # This is a simplified example, you may need to adjust the parsing logic based on your specific hardware
+        # Look for the adapter that contains "amdgpu" or "radeon"
+        for adapter in parsed_sensors:
+            if 'amdgpu' in adapter.get('adapter', '').lower() or 'radeon' in adapter.get('adapter', '').lower():
+                gpu_temp = adapter['values'][0]['input']
+                return {"gpu_temperature": gpu_temp}
+        return {"gpu_temperature": "N/A"}
+    except (subprocess.CalledProcessError, FileNotFoundError, KeyError, IndexError) as e:
+        print(f"Error getting GPU temperature: {e}")
+        return {"gpu_temperature": "N/A"}
+
+def get_login_attempts():
+    """Gets system login attempts from /var/log/auth.log."""
+    try:
+        with open("/var/log/auth.log", "r") as f:
+            log_lines = f.readlines()
+        
+        failed_logins = []
+        for line in log_lines:
+            if "Failed password" in line:
+                failed_logins.append(line.strip())
+        
+        return {"failed_login_attempts": failed_logins}
+    except FileNotFoundError:
+        print("Error: /var/log/auth.log not found.")
+        return {"failed_login_attempts": []}
+    except Exception as e:
+        print(f"Error reading login attempts: {e}")
+        return {"failed_login_attempts": []}
+
 # --- LLM Interaction Function ---
 
 def analyze_data_with_llm(data, baselines):
@@ -116,11 +164,17 @@ if __name__ == "__main__":
         print("Running in test mode...")
         system_logs = get_system_logs()
         network_metrics = get_network_metrics()
+        cpu_temp = get_cpu_temperature()
+        gpu_temp = get_gpu_temperature()
+        login_attempts = get_login_attempts()
 
         if system_logs and network_metrics:
             combined_data = {
                 "system_logs": system_logs,
-                "network_metrics": network_metrics
+                "network_metrics": network_metrics,
+                "cpu_temperature": cpu_temp,
+                "gpu_temperature": gpu_temp,
+                "login_attempts": login_attempts
             }
             data_storage.store_data(combined_data)
 
@@ -138,11 +192,17 @@ if __name__ == "__main__":
             print("Running monitoring cycle...")
             system_logs = get_system_logs()
             network_metrics = get_network_metrics()
+            cpu_temp = get_cpu_temperature()
+            gpu_temp = get_gpu_temperature()
+            login_attempts = get_login_attempts()
 
             if system_logs and network_metrics:
                 combined_data = {
                     "system_logs": system_logs,
-                    "network_metrics": network_metrics
+                    "network_metrics": network_metrics,
+                    "cpu_temperature": cpu_temp,
+                    "gpu_temperature": gpu_temp,
+                    "login_attempts": login_attempts
                 }
 
                 data_storage.store_data(combined_data)