Fix error handling in various modules

ai/ai_simulations.py

@@ -1,4 +1,3 @@
-
 import random
 
 class OffensiveSimulation:
@@ -12,8 +11,11 @@ def __init__(self):
         ]
 
     def simulate_attack(self):
-        scenario = random.choice(self.scenarios)
-        print(f"[SIMULATION] Executing simulated attack: {scenario}")
+        try:
+            scenario = random.choice(self.scenarios)
+            print(f"[SIMULATION] Executing simulated attack: {scenario}")
+        except Exception as e:
+            print(f"Error during simulation: {e}")
 
 if __name__ == "__main__":
     simulation = OffensiveSimulation()

ansi-styles/index.js

@@ -161,3 +161,28 @@ Object.defineProperty(module, 'exports', {
 	enumerable: true,
 	get: assembleStyles
 });
+
+// Unit tests for ANSI escape code functions
+const assert = require('assert');
+
+const styles = assembleStyles();
+
+// Test color functions
+assert.strictEqual(styles.color.red.open, '\u001B[31m');
+assert.strictEqual(styles.color.red.close, '\u001B[39m');
+assert.strictEqual(styles.color.green.open, '\u001B[32m');
+assert.strictEqual(styles.color.green.close, '\u001B[39m');
+
+// Test background color functions
+assert.strictEqual(styles.bgColor.bgRed.open, '\u001B[41m');
+assert.strictEqual(styles.bgColor.bgRed.close, '\u001B[49m');
+assert.strictEqual(styles.bgColor.bgGreen.open, '\u001B[42m');
+assert.strictEqual(styles.bgColor.bgGreen.close, '\u001B[49m');
+
+// Test modifier functions
+assert.strictEqual(styles.modifier.bold.open, '\u001B[1m');
+assert.strictEqual(styles.modifier.bold.close, '\u001B[22m');
+assert.strictEqual(styles.modifier.italic.open, '\u001B[3m');
+assert.strictEqual(styles.modifier.italic.close, '\u001B[23m');
+
+console.log('All tests passed!');

app.py

@@ -255,20 +255,26 @@ async def process_inputs(class_names: List[str], image_url: str):
 
 # Add real-time threat data analysis using the ThreatIntelligence module
 async def analyze_threat_data():
-    threat_data = await advanced_threat_intelligence.get_threat_intelligence()
-    analyzed_data = advanced_threat_intelligence.process_data(threat_data)
-    return analyzed_data
+    try:
+        threat_data = await advanced_threat_intelligence.get_threat_intelligence()
+        analyzed_data = advanced_threat_intelligence.process_data(threat_data)
+        return analyzed_data
+    except Exception as e:
+        logging.error(f"Error analyzing threat data: {e}")
 
 # Update the RealTimeThreatIntelligence initialization to include the ThreatIntelligence module
 threat_intelligence_module = RealTimeThreatIntelligence(api_key="YOUR_API_KEY")
 threat_intelligence_module.threat_intelligence = advanced_threat_intelligence
 
 # Add real-time threat data monitoring using the ThreatIntelligence module
 async def monitor_threat_data():
-    threat_data = await advanced_threat_intelligence.get_threat_intelligence()
-    for threat in threat_data:
-        if threat["severity"] > 0.8:
-            monitoring.trigger_alert(threat)
+    try:
+        threat_data = await advanced_threat_intelligence.get_threat_intelligence()
+        for threat in threat_data:
+            if threat["severity"] > 0.8:
+                monitoring.trigger_alert(threat)
+    except Exception as e:
+        logging.error(f"Error monitoring threat data: {e}")
 
 # Integrate the AutomatedIncidentResponse module with RealTimeMonitoring
 monitoring.automated_incident_response = automated_incident_response

app_security/app_vulnerability_scanner.py

@@ -9,44 +9,47 @@
 
 def scan_application(app_url):
     print(f"Scanning application for vulnerabilities: {app_url}")
-    session = SessionLocal()
     try:
-        response = requests.get(app_url)
-        response.raise_for_status()
-        vulnerabilities = {"vulnerabilities_found": 2, "critical_issues": ["SQL Injection", "XSS"]}
-
-        # Save scan results to the database
-        scan_result = DocumentAnalysis(
-            source=app_url,
-            title="Vulnerability Scan",
-            links=str(vulnerabilities["critical_issues"]),
-            error=None
-        )
-        session.add(scan_result)
-        session.commit()
-        return vulnerabilities
-    except requests.exceptions.HTTPError as http_err:
-        print(f"HTTP error occurred: {http_err}")
-        scan_result = DocumentAnalysis(
-            source=app_url,
-            title="Vulnerability Scan",
-            links=None,
-            error=str(http_err)
-        )
-        session.add(scan_result)
-        session.commit()
-    except Exception as err:
-        print(f"Other error occurred: {err}")
-        scan_result = DocumentAnalysis(
-            source=app_url,
-            title="Vulnerability Scan",
-            links=None,
-            error=str(err)
-        )
-        session.add(scan_result)
-        session.commit()
-    finally:
-        session.close()
+        session = SessionLocal()
+        try:
+            response = requests.get(app_url)
+            response.raise_for_status()
+            vulnerabilities = {"vulnerabilities_found": 2, "critical_issues": ["SQL Injection", "XSS"]}
+
+            # Save scan results to the database
+            scan_result = DocumentAnalysis(
+                source=app_url,
+                title="Vulnerability Scan",
+                links=str(vulnerabilities["critical_issues"]),
+                error=None
+            )
+            session.add(scan_result)
+            session.commit()
+            return vulnerabilities
+        except requests.exceptions.HTTPError as http_err:
+            print(f"HTTP error occurred: {http_err}")
+            scan_result = DocumentAnalysis(
+                source=app_url,
+                title="Vulnerability Scan",
+                links=None,
+                error=str(http_err)
+            )
+            session.add(scan_result)
+            session.commit()
+        except Exception as err:
+            print(f"Other error occurred: {err}")
+            scan_result = DocumentAnalysis(
+                source=app_url,
+                title="Vulnerability Scan",
+                links=None,
+                error=str(err)
+            )
+            session.add(scan_result)
+            session.commit()
+        finally:
+            session.close()
+    except Exception as db_err:
+        print(f"Database connection error: {db_err}")
     return {"vulnerabilities_found": 0, "critical_issues": []}
 
 if __name__ == "__main__":

archive/archive_analyzer.py

@@ -3,6 +3,9 @@
 from archive.archive_parser import parse_sources
 
 def analyze_sources():
-    sources = parse_sources()
-    # Perform analysis on sources
-    print(sources)
+    try:
+        sources = parse_sources()
+        # Perform analysis on sources
+        print(sources)
+    except Exception as e:
+        print(f"Error during source analysis: {e}")

archive/archive_parser.py

@@ -2,7 +2,11 @@
 import sys
 
 def parse_sources():
-    # Parse sources from archive
-    sources = []
-    # ...
-    return sources
+    try:
+        # Parse sources from archive
+        sources = []
+        # ...
+        return sources
+    except Exception as e:
+        print(f"Error during source parsing: {e}")
+        return []

atp/atp_integration.py

@@ -1,7 +1,10 @@
-
 def atp_threat_mitigation(threat_id):
-    print(f"Mitigating threat: {threat_id}")
-    return {"threat_id": threat_id, "status": "Mitigated"}
+    try:
+        print(f"Mitigating threat: {threat_id}")
+        return {"threat_id": threat_id, "status": "Mitigated"}
+    except Exception as e:
+        print(f"Error during threat mitigation: {e}")
+        return {"threat_id": threat_id, "status": "Error"}
 
 if __name__ == "__main__":
     result = atp_threat_mitigation("THREAT-12345")

backend/ai_chat.py

@@ -1,4 +1,3 @@
-
 import openai
 import requests
 
@@ -9,21 +8,33 @@ def __init__(self, openai_key, huggingface_key, anthropic_key):
         self.anthropic_key = anthropic_key
 
     def openai_chat(self, prompt):
-        openai.api_key = self.openai_key
-        response = openai.Completion.create(engine="text-davinci-003", prompt=prompt, max_tokens=100)
-        return response.choices[0].text.strip()
+        try:
+            openai.api_key = self.openai_key
+            response = openai.Completion.create(engine="text-davinci-003", prompt=prompt, max_tokens=100)
+            return response.choices[0].text.strip()
+        except Exception as e:
+            print(f"Error during OpenAI chat: {e}")
+            return ""
 
     def huggingface_chat(self, prompt):
-        url = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill"
-        headers = {"Authorization": f"Bearer {self.huggingface_key}"}
-        response = requests.post(url, json={"inputs": prompt}, headers=headers)
-        return response.json().get("generated_text", "")
+        try:
+            url = "https://api-inference.huggingface.co/models/facebook/blenderbot-400M-distill"
+            headers = {"Authorization": f"Bearer {self.huggingface_key}"}
+            response = requests.post(url, json={"inputs": prompt}, headers=headers)
+            return response.json().get("generated_text", "")
+        except Exception as e:
+            print(f"Error during HuggingFace chat: {e}")
+            return ""
 
     def anthropic_chat(self, prompt):
-        url = "https://api.anthropic.com/v1/completion"
-        headers = {"Authorization": f"Bearer {self.anthropic_key}"}
-        response = requests.post(url, json={"prompt": prompt, "model": "claude-v1"})
-        return response.json().get("output", "")
+        try:
+            url = "https://api.anthropic.com/v1/completion"
+            headers = {"Authorization": f"Bearer {self.anthropic_key}"}
+            response = requests.post(url, json={"prompt": prompt, "model": "claude-v1"})
+            return response.json().get("output", "")
+        except Exception as e:
+            print(f"Error during Anthropic chat: {e}")
+            return ""
 
 if __name__ == "__main__":
     chat = MultiAIChat("openai_key", "huggingface_key", "anthropic_key")

backend/code_parser.py

@@ -9,6 +9,8 @@
 
 class CodeParser:
     def __init__(self, code):
+        if not code.strip():
+            raise ValueError("Input code cannot be empty")
         self.tree = ast.parse(code)
 
     def find_functions(self):

c2_dashboard.py

@@ -112,5 +112,8 @@ def save_dashboard_to_db(self, source, title, links, error):
 
 if __name__ == "__main__":
     dashboard = C2Dashboard()
-    dashboard.save_dashboard_to_db("c2_dashboard.py", "C2 Dashboard", "[]", None)
-    print("Dashboard saved to database.")
+    try:
+        dashboard.save_dashboard_to_db("c2_dashboard.py", "C2 Dashboard", "[]", None)
+        print("Dashboard saved to database.")
+    except Exception as e:
+        print(f"Error during dashboard operation: {e}")

chatbot/app.py

@@ -40,15 +40,23 @@
 SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
 
 def scan_network():
-    # Placeholder function for scanning network
-    devices = ["Device1", "Device2", "Device3"]
-    return devices
+    try:
+        # Placeholder function for scanning network
+        devices = ["Device1", "Device2", "Device3"]
+        return devices
+    except Exception as e:
+        print(f"Error during network scanning: {e}")
+        return []
 
 def deploy_exploit(target):
-    # Placeholder function for deploying exploit
-    if target in ["Device1", "Device2", "Device3"]:
-        return "Exploit deployed successfully!"
-    return "Exploit deployment failed."
+    try:
+        # Placeholder function for deploying exploit
+        if target in ["Device1", "Device2", "Device3"]:
+            return "Exploit deployed successfully!"
+        return "Exploit deployment failed."
+    except Exception as e:
+        print(f"Error during exploit deployment: {e}")
+        return "Exploit deployment failed."
 
 def save_scan_results_to_db(source, title, links, error):
     session = SessionLocal()