fix: address lint issues in streaming implementation

- Remove whitespace from blank lines
- Refactor try-except out of loop for better performance
- Use list() instead of append in loop for better performance

Co-Authored-By: João <joao@crewai.com>

src/crewai/crew.py

@@ -792,7 +792,7 @@ class Crew(FlowTrackable, BaseModel):
                 def event_generator():
                     for event in crew.kickoff_stream(inputs={"topic": "AI"}):
                         yield f"data: {json.dumps(event)}\\n\\n"
-                
+
                 return StreamingResponse(
                     event_generator(),
                     media_type="text/event-stream"
@@ -868,15 +868,13 @@ class Crew(FlowTrackable, BaseModel):
         
         try:
             while not completion_event.is_set() or not event_queue.empty():
-                try:
+                event = event_queue.get(timeout=0.1) if not event_queue.empty() else None
-                    event = event_queue.get(timeout=0.1)
+                if event is not None:
                     yield event
-                except queue.Empty:
+
-                    continue
-            
             if exception_holder["exception"]:
                 raise exception_holder["exception"]
-                
+
         finally:
             thread.join(timeout=1)
 

tests/test_crew.py

@@ -4757,9 +4757,7 @@ def test_crew_kickoff_stream(researcher):
 
     crew = Crew(agents=[researcher], tasks=[task])
 
-    events = []
+    events = list(crew.kickoff_stream())
-    for event in crew.kickoff_stream():
-        events.append(event)
 
     assert len(events) > 0
 
@@ -4784,9 +4782,7 @@ def test_crew_kickoff_stream_with_inputs(researcher):
 
     crew = Crew(agents=[researcher], tasks=[task])
 
-    events = []
+    events = list(crew.kickoff_stream(inputs={"topic": "machine learning"}))
-    for event in crew.kickoff_stream(inputs={"topic": "machine learning"}):
-        events.append(event)
 
     assert len(events) > 0
 
@@ -4806,9 +4802,7 @@ def test_crew_kickoff_stream_includes_llm_chunks(researcher):
 
     crew = Crew(agents=[researcher], tasks=[task])
 
-    events = []
+    events = list(crew.kickoff_stream())
-    for event in crew.kickoff_stream():
-        events.append(event)
 
     event_types = [event["type"] for event in events]