From 797721617427aa22d5f23457982b3b31f181c7ca Mon Sep 17 00:00:00 2001 From: Lucas Oliveira Date: Fri, 28 Nov 2025 18:48:09 -0300 Subject: [PATCH] added telemetry to openrag --- src/api/auth.py | 6 ++ src/api/connectors.py | 6 ++ src/api/settings.py | 158 +++++++++++++++++++++++++++++-- src/api/tasks.py | 3 + src/main.py | 34 ++++++- src/services/document_service.py | 2 + src/services/flows_service.py | 7 ++ src/services/task_service.py | 6 ++ 8 files changed, 215 insertions(+), 7 deletions(-) diff --git a/src/api/auth.py b/src/api/auth.py index b3b3e214..bc2353df 100644 --- a/src/api/auth.py +++ b/src/api/auth.py @@ -1,5 +1,6 @@ from starlette.requests import Request from starlette.responses import JSONResponse +from utils.telemetry import TelemetryClient, Category, MessageId async def auth_init(request: Request, auth_service, session_manager): @@ -40,8 +41,11 @@ async def auth_callback(request: Request, auth_service, session_manager): connection_id, authorization_code, state, request ) + await TelemetryClient.send_event(Category.AUTHENTICATION, MessageId.ORBTA0063I) + # If this is app auth, set JWT cookie if result.get("purpose") == "app_auth" and result.get("jwt_token"): + await TelemetryClient.send_event(Category.AUTHENTICATION, MessageId.ORBTA0060I) response = JSONResponse( {k: v for k, v in result.items() if k != "jwt_token"} ) @@ -61,6 +65,7 @@ async def auth_callback(request: Request, auth_service, session_manager): import traceback traceback.print_exc() + await TelemetryClient.send_event(Category.AUTHENTICATION, MessageId.ORBTA0064E) return JSONResponse({"error": f"Callback failed: {str(e)}"}, status_code=500) @@ -72,6 +77,7 @@ async def auth_me(request: Request, auth_service, session_manager): async def auth_logout(request: Request, auth_service, session_manager): """Logout user by clearing auth cookie""" + await TelemetryClient.send_event(Category.AUTHENTICATION, MessageId.ORBTA0062I) response = JSONResponse( {"status": "logged_out", "message": "Successfully logged out"} ) diff --git a/src/api/connectors.py b/src/api/connectors.py index 5fbcec86..6ab25b5e 100644 --- a/src/api/connectors.py +++ b/src/api/connectors.py @@ -1,6 +1,7 @@ from starlette.requests import Request from starlette.responses import JSONResponse, PlainTextResponse from utils.logging_config import get_logger +from utils.telemetry import TelemetryClient, Category, MessageId logger = get_logger(__name__) @@ -25,6 +26,7 @@ async def connector_sync(request: Request, connector_service, session_manager): selected_files = data.get("selected_files") try: + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0072I) logger.debug( "Starting connector sync", connector_type=connector_type, @@ -102,6 +104,7 @@ async def connector_sync(request: Request, connector_service, session_manager): jwt_token=jwt_token, ) task_ids = [task_id] + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0073I) return JSONResponse( { "task_ids": task_ids, @@ -114,6 +117,7 @@ async def connector_sync(request: Request, connector_service, session_manager): except Exception as e: logger.error("Connector sync failed", error=str(e)) + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0074E) return JSONResponse({"error": f"Sync failed: {str(e)}"}, status_code=500) @@ -185,6 +189,7 @@ async def connector_webhook(request: Request, connector_service, session_manager config=temp_config, ) try: + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0075I) temp_connector = connector_service.connection_manager._create_connector( temp_connection ) @@ -336,6 +341,7 @@ async def connector_webhook(request: Request, connector_service, session_manager except Exception as e: logger.error("Webhook processing failed", error=str(e)) + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0076E) return JSONResponse( {"error": f"Webhook processing failed: {str(e)}"}, status_code=500 ) diff --git a/src/api/settings.py b/src/api/settings.py index c8e443cf..150b6749 100644 --- a/src/api/settings.py +++ b/src/api/settings.py @@ -4,6 +4,7 @@ import time from starlette.responses import JSONResponse from utils.container_utils import transform_localhost_url from utils.logging_config import get_logger +from utils.telemetry import TelemetryClient, Category, MessageId from config.settings import ( DISABLE_INGEST_WITH_LANGFLOW, LANGFLOW_URL, @@ -409,16 +410,32 @@ async def update_settings(request, session_manager): # Update agent settings if "llm_model" in body: + old_model = current_config.agent.llm_model current_config.agent.llm_model = body["llm_model"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0123I + ) + logger.info(f"LLM model changed from {old_model} to {body['llm_model']}") if "llm_provider" in body: + old_provider = current_config.agent.llm_provider current_config.agent.llm_provider = body["llm_provider"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0122I + ) + logger.info(f"LLM provider changed from {old_provider} to {body['llm_provider']}") if "system_prompt" in body: current_config.agent.system_prompt = body["system_prompt"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0126I + ) # Also update the chat flow with the new system prompt try: @@ -431,17 +448,33 @@ async def update_settings(request, session_manager): # Update knowledge settings if "embedding_model" in body: + old_model = current_config.knowledge.embedding_model new_embedding_model = body["embedding_model"].strip() current_config.knowledge.embedding_model = new_embedding_model config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0125I + ) + logger.info(f"Embedding model changed from {old_model} to {new_embedding_model}") if "embedding_provider" in body: + old_provider = current_config.knowledge.embedding_provider current_config.knowledge.embedding_provider = body["embedding_provider"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0124I + ) + logger.info(f"Embedding provider changed from {old_provider} to {body['embedding_provider']}") if "table_structure" in body: current_config.knowledge.table_structure = body["table_structure"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0128I + ) # Also update the flow with the new docling settings try: @@ -453,6 +486,10 @@ async def update_settings(request, session_manager): if "ocr" in body: current_config.knowledge.ocr = body["ocr"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0128I + ) # Also update the flow with the new docling settings try: @@ -464,6 +501,10 @@ async def update_settings(request, session_manager): if "picture_descriptions" in body: current_config.knowledge.picture_descriptions = body["picture_descriptions"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0128I + ) # Also update the flow with the new docling settings try: @@ -475,6 +516,10 @@ async def update_settings(request, session_manager): if "chunk_size" in body: current_config.knowledge.chunk_size = body["chunk_size"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0127I + ) # Also update the ingest flow with the new chunk size try: @@ -491,6 +536,10 @@ async def update_settings(request, session_manager): if "chunk_overlap" in body: current_config.knowledge.chunk_overlap = body["chunk_overlap"] config_updated = True + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0127I + ) # Also update the ingest flow with the new chunk overlap try: @@ -507,35 +556,48 @@ async def update_settings(request, session_manager): # The config will still be saved # Update provider-specific settings + provider_updated = False if "openai_api_key" in body and body["openai_api_key"].strip(): current_config.providers.openai.api_key = body["openai_api_key"] current_config.providers.openai.configured = True config_updated = True + provider_updated = True if "anthropic_api_key" in body and body["anthropic_api_key"].strip(): current_config.providers.anthropic.api_key = body["anthropic_api_key"] current_config.providers.anthropic.configured = True config_updated = True + provider_updated = True if "watsonx_api_key" in body and body["watsonx_api_key"].strip(): current_config.providers.watsonx.api_key = body["watsonx_api_key"] current_config.providers.watsonx.configured = True config_updated = True + provider_updated = True if "watsonx_endpoint" in body: current_config.providers.watsonx.endpoint = body["watsonx_endpoint"].strip() current_config.providers.watsonx.configured = True config_updated = True + provider_updated = True if "watsonx_project_id" in body: current_config.providers.watsonx.project_id = body["watsonx_project_id"].strip() current_config.providers.watsonx.configured = True config_updated = True + provider_updated = True if "ollama_endpoint" in body: current_config.providers.ollama.endpoint = body["ollama_endpoint"].strip() current_config.providers.ollama.configured = True config_updated = True + provider_updated = True + + if provider_updated: + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0129I + ) if not config_updated: return JSONResponse( @@ -577,10 +639,18 @@ async def update_settings(request, session_manager): logger.info( "Configuration updated successfully", updated_fields=list(body.keys()) ) + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0120I + ) return JSONResponse({"message": "Configuration updated successfully"}) except Exception as e: logger.error("Failed to update settings", error=str(e)) + await TelemetryClient.send_event( + Category.SETTINGS_OPERATIONS, + MessageId.ORBTA0121E + ) return JSONResponse( {"error": f"Failed to update settings: {str(e)}"}, status_code=500 ) @@ -589,6 +659,8 @@ async def update_settings(request, session_manager): async def onboarding(request, flows_service, session_manager=None): """Handle onboarding configuration setup""" try: + await TelemetryClient.send_event(Category.ONBOARDING, MessageId.ORBTA0130I) + # Get current configuration current_config = get_openrag_config() @@ -631,13 +703,23 @@ async def onboarding(request, flows_service, session_manager=None): config_updated = False # Update agent settings (LLM) + llm_model_selected = None + llm_provider_selected = None + if "llm_model" in body: if not isinstance(body["llm_model"], str) or not body["llm_model"].strip(): return JSONResponse( {"error": "llm_model must be a non-empty string"}, status_code=400 ) - current_config.agent.llm_model = body["llm_model"].strip() + llm_model_selected = body["llm_model"].strip() + current_config.agent.llm_model = llm_model_selected config_updated = True + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0134I, + metadata={"llm_model": llm_model_selected} + ) + logger.info(f"LLM model selected during onboarding: {llm_model_selected}") if "llm_provider" in body: if ( @@ -653,10 +735,20 @@ async def onboarding(request, flows_service, session_manager=None): {"error": "llm_provider must be one of: openai, anthropic, watsonx, ollama"}, status_code=400, ) - current_config.agent.llm_provider = body["llm_provider"].strip() + llm_provider_selected = body["llm_provider"].strip() + current_config.agent.llm_provider = llm_provider_selected config_updated = True + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0133I, + metadata={"llm_provider": llm_provider_selected} + ) + logger.info(f"LLM provider selected during onboarding: {llm_provider_selected}") # Update knowledge settings (embedding) + embedding_model_selected = None + embedding_provider_selected = None + if "embedding_model" in body and not DISABLE_INGEST_WITH_LANGFLOW: if ( not isinstance(body["embedding_model"], str) @@ -666,8 +758,15 @@ async def onboarding(request, flows_service, session_manager=None): {"error": "embedding_model must be a non-empty string"}, status_code=400, ) - current_config.knowledge.embedding_model = body["embedding_model"].strip() + embedding_model_selected = body["embedding_model"].strip() + current_config.knowledge.embedding_model = embedding_model_selected config_updated = True + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0136I, + metadata={"embedding_model": embedding_model_selected} + ) + logger.info(f"Embedding model selected during onboarding: {embedding_model_selected}") if "embedding_provider" in body: if ( @@ -684,8 +783,15 @@ async def onboarding(request, flows_service, session_manager=None): {"error": "embedding_provider must be one of: openai, watsonx, ollama"}, status_code=400, ) - current_config.knowledge.embedding_provider = body["embedding_provider"].strip() + embedding_provider_selected = body["embedding_provider"].strip() + current_config.knowledge.embedding_provider = embedding_provider_selected config_updated = True + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0135I, + metadata={"embedding_provider": embedding_provider_selected} + ) + logger.info(f"Embedding provider selected during onboarding: {embedding_provider_selected}") # Update provider-specific credentials if "openai_api_key" in body and body["openai_api_key"].strip(): @@ -771,6 +877,12 @@ async def onboarding(request, flows_service, session_manager=None): {"error": "sample_data must be a boolean value"}, status_code=400 ) should_ingest_sample_data = body["sample_data"] + if should_ingest_sample_data: + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0137I + ) + logger.info("Sample data ingestion requested during onboarding") if not config_updated: return JSONResponse( @@ -913,8 +1025,38 @@ async def onboarding(request, flows_service, session_manager=None): "Onboarding configuration updated successfully", updated_fields=updated_fields, ) + + # Mark config as edited and send telemetry with model information + current_config.edited = True + + # Build metadata with selected models + onboarding_metadata = {} + if llm_provider_selected: + onboarding_metadata["llm_provider"] = llm_provider_selected + if llm_model_selected: + onboarding_metadata["llm_model"] = llm_model_selected + if embedding_provider_selected: + onboarding_metadata["embedding_provider"] = embedding_provider_selected + if embedding_model_selected: + onboarding_metadata["embedding_model"] = embedding_model_selected + + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0138I, + metadata=onboarding_metadata + ) + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0131I, + metadata=onboarding_metadata + ) + logger.info("Configuration marked as edited after onboarding") else: + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0132E + ) return JSONResponse( {"error": "Failed to save configuration"}, status_code=500 ) @@ -929,6 +1071,10 @@ async def onboarding(request, flows_service, session_manager=None): except Exception as e: logger.error("Failed to update onboarding settings", error=str(e)) + await TelemetryClient.send_event( + Category.ONBOARDING, + MessageId.ORBTA0132E + ) return JSONResponse( {"error": str(e)}, status_code=500, @@ -1214,11 +1360,11 @@ async def update_docling_preset(request, session_manager): flows_service = _get_flows_service() await flows_service.update_flow_docling_preset("custom", preset_config) - logger.info(f"Successfully updated docling settings in ingest flow") + logger.info("Successfully updated docling settings in ingest flow") return JSONResponse( { - "message": f"Successfully updated docling settings", + "message": "Successfully updated docling settings", "settings": settings, "preset_config": preset_config, } diff --git a/src/api/tasks.py b/src/api/tasks.py index 92779d09..8e10cb7c 100644 --- a/src/api/tasks.py +++ b/src/api/tasks.py @@ -1,5 +1,6 @@ from starlette.requests import Request from starlette.responses import JSONResponse +from utils.telemetry import TelemetryClient, Category, MessageId async def task_status(request: Request, task_service, session_manager): @@ -28,8 +29,10 @@ async def cancel_task(request: Request, task_service, session_manager): success = await task_service.cancel_task(user.user_id, task_id) if not success: + await TelemetryClient.send_event(Category.TASK_OPERATIONS, MessageId.ORBTA0091E) return JSONResponse( {"error": "Task not found or cannot be cancelled"}, status_code=400 ) + await TelemetryClient.send_event(Category.TASK_OPERATIONS, MessageId.ORBTA0092I) return JSONResponse({"status": "cancelled", "task_id": task_id}) diff --git a/src/main.py b/src/main.py index 544b88c2..73445ad9 100644 --- a/src/main.py +++ b/src/main.py @@ -5,6 +5,7 @@ from services.flows_service import FlowsService from utils.container_utils import detect_container_environment from utils.embeddings import create_dynamic_index_body from utils.logging_config import configure_from_env, get_logger +from utils.telemetry import TelemetryClient, Category, MessageId configure_from_env() logger = get_logger(__name__) @@ -100,6 +101,7 @@ async def wait_for_opensearch(): try: await clients.opensearch.info() logger.info("OpenSearch is ready") + await TelemetryClient.send_event(Category.OPENSEARCH_SETUP, MessageId.ORBTA0020I) return except Exception as e: logger.warning( @@ -111,6 +113,7 @@ async def wait_for_opensearch(): if attempt < max_retries - 1: await asyncio.sleep(retry_delay) else: + await TelemetryClient.send_event(Category.OPENSEARCH_SETUP, MessageId.ORBTA0023E) raise Exception("OpenSearch failed to become ready") @@ -154,6 +157,7 @@ async def _ensure_opensearch_index(): "dimension" ], ) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0030I) except Exception as e: logger.error( @@ -161,6 +165,7 @@ async def _ensure_opensearch_index(): error=str(e), index_name=INDEX_NAME, ) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0032E) # Don't raise the exception to avoid breaking the initialization # The service can still function, document operations might fail later @@ -193,12 +198,14 @@ async def init_index(): index_name=INDEX_NAME, embedding_model=embedding_model, ) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0030I) else: logger.info( "Index already exists, skipping creation", index_name=INDEX_NAME, embedding_model=embedding_model, ) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0031I) # Create knowledge filters index knowledge_filter_index_name = "knowledge_filters" @@ -226,6 +233,7 @@ async def init_index(): logger.info( "Created knowledge filters index", index_name=knowledge_filter_index_name ) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0034I) else: logger.info( "Knowledge filters index already exists, skipping creation", @@ -279,6 +287,7 @@ def generate_jwt_keys(): logger.info("Generated RSA keys for JWT signing") except subprocess.CalledProcessError as e: logger.error("Failed to generate RSA keys", error=str(e)) + TelemetryClient.send_event_sync(Category.SERVICE_INITIALIZATION, MessageId.ORBTA0014E) raise else: # Ensure correct permissions on existing keys @@ -297,6 +306,7 @@ async def init_index_when_ready(): logger.info("OpenSearch index initialization completed successfully") except Exception as e: logger.error("OpenSearch index initialization failed", error=str(e)) + await TelemetryClient.send_event(Category.OPENSEARCH_INDEX, MessageId.ORBTA0033E) logger.warning( "OIDC endpoints will still work, but document operations may fail until OpenSearch is ready" ) @@ -324,6 +334,7 @@ async def ingest_default_documents_when_ready(services): "Ingesting default documents when ready", disable_langflow_ingest=DISABLE_INGEST_WITH_LANGFLOW, ) + await TelemetryClient.send_event(Category.DOCUMENT_INGESTION, MessageId.ORBTA0043I) base_dir = _get_documents_dir() if not os.path.isdir(base_dir): logger.info( @@ -350,9 +361,12 @@ async def ingest_default_documents_when_ready(services): await _ingest_default_documents_openrag(services, file_paths) else: await _ingest_default_documents_langflow(services, file_paths) + + await TelemetryClient.send_event(Category.DOCUMENT_INGESTION, MessageId.ORBTA0044I) except Exception as e: logger.error("Default documents ingestion failed", error=str(e)) + await TelemetryClient.send_event(Category.DOCUMENT_INGESTION, MessageId.ORBTA0045E) async def _ingest_default_documents_langflow(services, file_paths): @@ -502,6 +516,7 @@ async def _update_mcp_servers_with_provider_credentials(services): async def startup_tasks(services): """Startup tasks""" logger.info("Starting startup tasks") + await TelemetryClient.send_event(Category.APPLICATION_STARTUP, MessageId.ORBTA0002I) # Only initialize basic OpenSearch connection, not the index # Index will be created after onboarding when we know the embedding model await wait_for_opensearch() @@ -527,25 +542,34 @@ async def startup_tasks(services): logger.info( f"Detected reset flows: {', '.join(reset_flows)}. Reapplying all settings." ) + await TelemetryClient.send_event(Category.FLOW_OPERATIONS, MessageId.ORBTA0082W) from api.settings import reapply_all_settings await reapply_all_settings(session_manager=services["session_manager"]) logger.info("Successfully reapplied settings after detecting flow resets") + await TelemetryClient.send_event(Category.FLOW_OPERATIONS, MessageId.ORBTA0084I) else: logger.info("No flows detected as reset, skipping settings reapplication") else: logger.debug("Configuration not yet edited, skipping flow reset check") except Exception as e: logger.error(f"Failed to check flows reset or reapply settings: {str(e)}") + await TelemetryClient.send_event(Category.FLOW_OPERATIONS, MessageId.ORBTA0083E) # Don't fail startup if this check fails async def initialize_services(): """Initialize all services and their dependencies""" + await TelemetryClient.send_event(Category.SERVICE_INITIALIZATION, MessageId.ORBTA0011I) # Generate JWT keys if they don't exist generate_jwt_keys() # Initialize clients (now async to generate Langflow API key) - await clients.initialize() + try: + await clients.initialize() + except Exception as e: + logger.error("Failed to initialize clients", error=str(e)) + await TelemetryClient.send_event(Category.SERVICE_INITIALIZATION, MessageId.ORBTA0013E) + raise # Initialize session manager session_manager = SessionManager(SESSION_SECRET) @@ -608,8 +632,11 @@ async def initialize_services(): logger.warning( "Failed to load persisted connections on startup", error=str(e) ) + await TelemetryClient.send_event(Category.CONNECTOR_OPERATIONS, MessageId.ORBTA0077W) else: logger.info("[CONNECTORS] Skipping connection loading in no-auth mode") + + await TelemetryClient.send_event(Category.SERVICE_INITIALIZATION, MessageId.ORBTA0010I) langflow_file_service = LangflowFileService() @@ -1223,6 +1250,7 @@ async def create_app(): # Add startup event handler @app.on_event("startup") async def startup_event(): + await TelemetryClient.send_event(Category.APPLICATION_STARTUP, MessageId.ORBTA0001I) # Start index initialization in background to avoid blocking OIDC endpoints t1 = asyncio.create_task(startup_tasks(services)) app.state.background_tasks.add(t1) @@ -1270,9 +1298,13 @@ async def create_app(): # Add shutdown event handler @app.on_event("shutdown") async def shutdown_event(): + await TelemetryClient.send_event(Category.APPLICATION_SHUTDOWN, MessageId.ORBTA0003I) await cleanup_subscriptions_proper(services) # Cleanup async clients await clients.cleanup() + # Cleanup telemetry client + from utils.telemetry.client import cleanup_telemetry_client + await cleanup_telemetry_client() return app diff --git a/src/services/document_service.py b/src/services/document_service.py index 882b5eaf..544eb04e 100644 --- a/src/services/document_service.py +++ b/src/services/document_service.py @@ -14,6 +14,7 @@ logger = get_logger(__name__) from config.settings import clients, INDEX_NAME, get_embedding_model from utils.document_processing import extract_relevant, process_document_sync +from utils.telemetry import TelemetryClient, Category, MessageId def get_token_count(text: str, model: str = None) -> int: @@ -98,6 +99,7 @@ class DocumentService: """Recreate the process pool if it's broken""" if self._process_pool_broken and self.process_pool: logger.warning("Attempting to recreate broken process pool") + TelemetryClient.send_event_sync(Category.DOCUMENT_PROCESSING, MessageId.ORBTA0053W) try: # Shutdown the old pool self.process_pool.shutdown(wait=False) diff --git a/src/services/flows_service.py b/src/services/flows_service.py index 5a370932..b2816d5c 100644 --- a/src/services/flows_service.py +++ b/src/services/flows_service.py @@ -28,6 +28,7 @@ import copy from datetime import datetime from utils.logging_config import get_logger from utils.container_utils import transform_localhost_url +from utils.telemetry import TelemetryClient, Category, MessageId logger = get_logger(__name__) @@ -228,6 +229,12 @@ class FlowsService: failed_count=len(backup_results["failed"]), ) + # Send telemetry event + if backup_results["failed"]: + await TelemetryClient.send_event(Category.FLOW_OPERATIONS, MessageId.ORBTA0081E) + else: + await TelemetryClient.send_event(Category.FLOW_OPERATIONS, MessageId.ORBTA0080I) + return backup_results async def _backup_flow(self, flow_id: str, flow_type: str, flow_data: dict = None): diff --git a/src/services/task_service.py b/src/services/task_service.py index 735ad483..478304c4 100644 --- a/src/services/task_service.py +++ b/src/services/task_service.py @@ -7,6 +7,7 @@ from models.tasks import FileTask, TaskStatus, UploadTask from session_manager import AnonymousUser from utils.gpu_detection import get_worker_count from utils.logging_config import get_logger +from utils.telemetry import TelemetryClient, Category, MessageId logger = get_logger(__name__) @@ -131,6 +132,11 @@ class TaskService: # Store reference to background task for cancellation upload_task.background_task = background_task + # Send telemetry event for task creation + asyncio.create_task( + TelemetryClient.send_event(Category.TASK_OPERATIONS, MessageId.ORBTA0090I) + ) + return task_id async def background_upload_processor(self, user_id: str, task_id: str) -> None: