Fixed tracing

cnn_classification_service/magic_doer.py

@@ -18,14 +18,16 @@ class MagicDoer:
     requests_session = SessionTracing(propagate=True)
 
     @classmethod
-    def run_everything(cls, parameters: dict, span: opentracing.span.Span) -> dict:
+    def run_everything(cls, parameters: dict) -> dict:
+        span = opentracing.tracer.scope_manager.active().span
+
         tag = parameters['tag']
         sample_file_handle, sample_file_path = tempfile.mkstemp(prefix=f"{tag}_", suffix=".wav", dir="/dev/shm")
         span.log_kv({'event': 'sampleFileOpened', 'sampleTag': tag})
         response = None
         try:
 
-            with opentracing.tracer.start_span('downloadSample', child_of=span):
+            with opentracing.tracer.start_active_span('downloadSample', child_of=span):
                 # Download Sample
                 object_path = urljoin(Config.STORAGE_SERVICE_URL, f"object/{tag}")
 
@@ -36,14 +38,14 @@ class MagicDoer:
 
                 logging.debug(f"Downloaded sample to {sample_file_path}")
 
-            with opentracing.tracer.start_span('loadClassifier', child_of=span):
+            with opentracing.tracer.start_active_span('loadClassifier', child_of=span):
                 # Get a classifier that uses the default model
                 model_details, classifier = cls.classifier_cache.get_default_classifier()
 
-            with opentracing.tracer.start_span('runClassifier', child_of=span) as child_span:
+            with opentracing.tracer.start_active_span('runClassifier', child_of=span) as child_span:
                 # do the majic
                 classification_start_time = time.time()
-                predicted_class_name, labeled_predictions = classifier.predict(sample_file_path, child_span)
+                predicted_class_name, labeled_predictions = classifier.predict(sample_file_path)
                 classification_duration = time.time() - classification_start_time
 
             response = {