refinements for correlations running logic
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@@ -193,6 +193,8 @@ class Scanner:
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print(f"=== INITIALIZING PROVIDERS FROM {provider_dir} ===")
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correlation_provider_instance = None
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for filename in os.listdir(provider_dir):
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if filename.endswith('_provider.py') and not filename.startswith('base'):
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module_name = f"providers.{filename[:-3]}"
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@@ -203,7 +205,6 @@ class Scanner:
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attribute = getattr(module, attribute_name)
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if isinstance(attribute, type) and issubclass(attribute, BaseProvider) and attribute is not BaseProvider:
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provider_class = attribute
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# FIXED: Pass the 'name' argument during initialization
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provider = provider_class(name=attribute_name, session_config=self.config)
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provider_name = provider.get_name()
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@@ -224,8 +225,13 @@ class Scanner:
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if is_available:
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provider.set_stop_event(self.stop_event)
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# Special handling for correlation provider
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if isinstance(provider, CorrelationProvider):
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provider.set_graph_manager(self.graph)
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correlation_provider_instance = provider
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print(f" ✓ Correlation provider configured with graph manager")
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self.providers.append(provider)
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print(f" ✓ Added to scanner")
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else:
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@@ -240,6 +246,11 @@ class Scanner:
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print(f"=== PROVIDER INITIALIZATION COMPLETE ===")
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print(f"Active providers: {[p.get_name() for p in self.providers]}")
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print(f"Provider count: {len(self.providers)}")
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# Verify correlation provider is properly configured
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if correlation_provider_instance:
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print(f"Correlation provider configured: {correlation_provider_instance.graph is not None}")
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print("=" * 50)
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def _status_logger_thread(self):
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@@ -617,16 +628,21 @@ class Scanner:
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def _run_correlation_phase(self, max_depth: int, processed_tasks: set) -> None:
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"""
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PHASE 2: Run correlation analysis on all discovered nodes.
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This ensures correlations run after all other providers have completed.
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Enhanced with better error handling and progress tracking.
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"""
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correlation_provider = next((p for p in self.providers if isinstance(p, CorrelationProvider)), None)
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if not correlation_provider:
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print("No correlation provider found - skipping correlation phase")
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return
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# Ensure correlation provider has access to current graph state
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correlation_provider.set_graph_manager(self.graph)
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print(f"Correlation provider configured with graph containing {self.graph.get_node_count()} nodes")
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# Get all nodes from the graph for correlation analysis
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all_nodes = list(self.graph.graph.nodes())
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correlation_tasks = []
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correlation_tasks_enqueued = 0
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print(f"Enqueueing correlation tasks for {len(all_nodes)} nodes")
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@@ -640,15 +656,22 @@ class Scanner:
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priority = self._get_priority('correlation')
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self.task_queue.put((time.time(), priority, ('correlation', node_id, correlation_depth)))
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correlation_tasks.append(task_tuple)
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correlation_tasks_enqueued += 1
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self.total_tasks_ever_enqueued += 1
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print(f"Enqueued {len(correlation_tasks)} correlation tasks")
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print(f"Enqueued {correlation_tasks_enqueued} new correlation tasks")
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# Process correlation tasks
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# Force session state update to reflect new task count
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self._update_session_state()
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# Process correlation tasks with enhanced tracking
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consecutive_empty_iterations = 0
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max_empty_iterations = 20 # Shorter timeout for correlation phase
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max_empty_iterations = 20
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correlation_completed = 0
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correlation_errors = 0
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while correlation_tasks:
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# Check if we should continue processing
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queue_empty = self.task_queue.empty()
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with self.processing_lock:
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no_active_processing = len(self.currently_processing) == 0
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@@ -656,6 +679,7 @@ class Scanner:
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if queue_empty and no_active_processing:
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consecutive_empty_iterations += 1
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if consecutive_empty_iterations >= max_empty_iterations:
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print(f"Correlation phase timeout - {len(correlation_tasks)} tasks remaining")
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break
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time.sleep(0.1)
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continue
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@@ -695,26 +719,45 @@ class Scanner:
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self.current_indicator = target_item
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self._update_session_state()
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# Process correlation task
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new_targets, _, success = self._process_provider_task(correlation_provider, target_item, depth)
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if success:
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processed_tasks.add(task_tuple)
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self.indicators_completed += 1
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if task_tuple in correlation_tasks:
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correlation_tasks.remove(task_tuple)
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else:
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# For correlations, don't retry - just mark as completed
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self.indicators_completed += 1
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if task_tuple in correlation_tasks:
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correlation_tasks.remove(task_tuple)
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# Process correlation task with enhanced error handling
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try:
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new_targets, _, success = self._process_provider_task(correlation_provider, target_item, depth)
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if success:
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processed_tasks.add(task_tuple)
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correlation_completed += 1
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self.indicators_completed += 1
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if task_tuple in correlation_tasks:
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correlation_tasks.remove(task_tuple)
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else:
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# For correlations, don't retry - just mark as completed
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correlation_errors += 1
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self.indicators_completed += 1
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if task_tuple in correlation_tasks:
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correlation_tasks.remove(task_tuple)
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except Exception as e:
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correlation_errors += 1
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self.indicators_completed += 1
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if task_tuple in correlation_tasks:
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correlation_tasks.remove(task_tuple)
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self.logger.logger.warning(f"Correlation task failed for {target_item}: {e}")
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finally:
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with self.processing_lock:
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processing_key = (provider_name, target_item)
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self.currently_processing.discard(processing_key)
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print(f"Correlation phase complete. Remaining tasks: {len(correlation_tasks)}")
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# Periodic progress update during correlation phase
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if correlation_completed % 10 == 0 and correlation_completed > 0:
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remaining = len(correlation_tasks)
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print(f"Correlation progress: {correlation_completed} completed, {remaining} remaining")
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print(f"Correlation phase complete:")
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print(f" - Successfully processed: {correlation_completed}")
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print(f" - Errors encountered: {correlation_errors}")
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print(f" - Tasks remaining: {len(correlation_tasks)}")
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def _process_provider_task(self, provider: BaseProvider, target: str, depth: int) -> Tuple[Set[str], Set[str], bool]:
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"""
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@@ -1143,6 +1186,10 @@ class Scanner:
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self.logger.logger.error(f"Provider {provider_name} failed for {target}: {error}")
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def _calculate_progress(self) -> float:
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"""
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Enhanced progress calculation that properly accounts for correlation tasks
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added during the correlation phase.
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"""
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try:
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if self.total_tasks_ever_enqueued == 0:
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return 0.0
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@@ -1152,7 +1199,18 @@ class Scanner:
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with self.processing_lock:
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active_tasks = len(self.currently_processing)
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# Adjust total to account for remaining work
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# For correlation phase, be more conservative about progress calculation
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if self.status == ScanStatus.FINALIZING:
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# During correlation phase, show progress more conservatively
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base_progress = (self.indicators_completed / max(self.total_tasks_ever_enqueued, 1)) * 100
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# If we have active correlation tasks, cap progress at 95% until done
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if queue_size > 0 or active_tasks > 0:
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return min(95.0, base_progress)
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else:
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return min(100.0, base_progress)
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# Normal phase progress calculation
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adjusted_total = max(self.total_tasks_ever_enqueued,
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self.indicators_completed + queue_size + active_tasks)
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