feat: add full event log export for all scan events

agentic_security/probe_actor/fuzzer.py

@@ -423,6 +423,7 @@ async def perform_single_shot_scan(
 
     yield ScanResult.status_msg("Scan completed.")
     fuzzer_state.export_failures("failures.csv")
+    fuzzer_state.export_full_log("full_scan_log.csv")
 
 
 async def perform_many_shot_scan(
@@ -558,6 +559,7 @@ async def perform_many_shot_scan(
 
     yield ScanResult.status_msg("Scan completed.")
     fuzzer_state.export_failures("failures.csv")
+    fuzzer_state.export_full_log("full_scan_log.csv")
 
 
 def scan_router(

agentic_security/probe_actor/state.py

@@ -45,3 +45,45 @@ def export_failures(self, filename: str = "failures.csv"):
             failure_data, columns=["module", "prompt", "status_code", "content"]
         )
         df.to_csv(filename, index=False)
+
+    def export_full_log(self, filename: str = "full_scan_log.csv"):
+        """Export a complete log of all events (errors, refusals, and successful outputs)"""
+        log_data = []
+
+        # Add errors
+        for module_name, prompt, status_code, error_msg in self.errors:
+            log_data.append({
+                "event_type": "error",
+                "module": module_name,
+                "prompt": prompt,
+                "status_code": status_code,
+                "content": error_msg,
+                "refused": None,
+            })
+
+        # Add refusals
+        for module_name, prompt, status_code, response_text in self.refusals:
+            log_data.append({
+                "event_type": "refusal",
+                "module": module_name,
+                "prompt": prompt,
+                "status_code": status_code,
+                "content": response_text,
+                "refused": True,
+            })
+
+        # Add all outputs (including successful ones)
+        for module_name, prompt, response_text, refused in self.outputs:
+            # Skip if already logged as refusal to avoid duplicates
+            if not refused:
+                log_data.append({
+                    "event_type": "success",
+                    "module": module_name,
+                    "prompt": prompt,
+                    "status_code": 200,
+                    "content": response_text,
+                    "refused": False,
+                })
+
+        df = pd.DataFrame(log_data)
+        df.to_csv(filename, index=False)