sonarquebe fix

Author: NeptuneHub

app_clap_search.py

@@ -145,7 +145,7 @@ def clap_search_api():
         logger.warning(f"ValueError in DCLAP search API: {e}")
         return jsonify({'error': 'Invalid or missing request parameter.'}), 400
     except Exception as e:
-        logger.error(f"DCLAP search API error: {e}", exc_info=True)
+        logger.exception(f"DCLAP search API error: {e}")
         return jsonify({'error': 'An internal server error occurred during DCLAP search.'}), 500
 
 

rq_janitor.py

@@ -51,7 +51,7 @@
                 if failed_cleaned > 0:
                     logger.info("Janitor cleaned %d expired failed jobs from '%s' failed_job_registry.", failed_cleaned, queue.name)
         except Exception as e:
-            logger.error("Error in RQ Janitor loop: %s", e, exc_info=True)
+            logger.exception("Error in RQ Janitor loop: %s", e)
 
         # Sleep for the desired monitoring interval.
         time.sleep(10)

rq_worker.py

@@ -108,5 +108,5 @@
 
         worker.work(logging_level=logging_level, max_jobs=max_jobs_before_restart)
     except Exception as e:
-        logger.error(f"RQ Worker failed to start or encountered an error: {e}", exc_info=True)
+        logger.exception(f"RQ Worker failed to start or encountered an error: {e}")
         sys.exit(1)

rq_worker_high_priority.py

@@ -71,5 +71,5 @@
         # The job function itself is responsible for creating an app context if needed.
         worker.work(logging_level=logging_level, max_jobs=max_jobs_before_restart)
     except Exception as e:
-        logger.error(f"High Priority RQ Worker failed to start or encountered an error: {e}", exc_info=True)
+        logger.exception(f"High Priority RQ Worker failed to start or encountered an error: {e}")
         sys.exit(1)

tasks/clap_analyzer.py

@@ -323,7 +323,7 @@ def initialize_clap_audio_model():
         logger.info("✓ CLAP audio model initialized successfully (for music analysis)")
         return True
     except Exception as e:
-        logger.error(f"Failed to initialize CLAP audio model: {e}", exc_info=True)
+        logger.exception(f"Failed to initialize CLAP audio model: {e}")
         return False
 
 
@@ -349,7 +349,7 @@ def initialize_clap_text_model():
         logger.info("✓ CLAP text model initialized successfully (for text search)")
         return True
     except Exception as e:
-        logger.error(f"Failed to initialize CLAP text model: {e}", exc_info=True)
+        logger.exception(f"Failed to initialize CLAP text model: {e}")
         return False
 
 
@@ -603,7 +603,7 @@ def retry_fn():
         return audio_embedding, duration_sec, num_segments
 
     except Exception as e:
-        logger.error(f"CLAP analysis failed for {audio_path}: {e}", exc_info=True)
+        logger.exception(f"CLAP analysis failed for {audio_path}: {e}")
         comprehensive_memory_cleanup(force_cuda=True, reset_onnx_pool=True)
         return None, 0, 0
     finally:
@@ -659,7 +659,7 @@ def get_text_embedding(query_text: str) -> Optional[np.ndarray]:
         return text_embedding
 
     except Exception as e:
-        logger.error(f"Failed to get text embedding for '{query_text}': {e}", exc_info=True)
+        logger.exception(f"Failed to get text embedding for '{query_text}': {e}")
         return None
 
 
@@ -714,7 +714,7 @@ def get_text_embeddings_batch(query_texts: list) -> Optional[np.ndarray]:
         return text_embeddings
 
     except Exception as e:
-        logger.error(f"Failed to get batch text embeddings: {e}", exc_info=True)
+        logger.exception(f"Failed to get batch text embeddings: {e}")
         return None
 
 
@@ -801,7 +801,7 @@ def get_or_cache_other_feature_text_embeddings(redis_conn) -> Optional[dict]:
             logger.warning(f"Failed to write text embeddings to Redis: {e}")
         return result
     except Exception as e:
-        logger.error(f"Failed to compute CLAP text embeddings for other features: {e}", exc_info=True)
+        logger.exception(f"Failed to compute CLAP text embeddings for other features: {e}")
         return None
     finally:
         # Unload text model after computing (worker only needs audio model)

tasks/clap_text_search.py

@@ -491,7 +491,7 @@ def search_by_text(query_text: str, limit: int = 100) -> List[Dict]:
             return results
 
     except Exception as e:
-        logger.error(f"Text search failed for '{query_text}': {e}", exc_info=True)
+        logger.exception(f"Text search failed for '{query_text}': {e}")
         return []