bug

app/streamlit_app.py

@@ -763,21 +763,7 @@ def main():
                 'prompt': prompt
             }
 
-            # Track swing analysis with Trackio (one run per analysis)
-            try:
-                import trackio
-                trackio.init(project="par-ity-golf-swing", config={
-                    "input_method": input_option,
-                    "sample_rate": sample_rate
-                })
-                trackio.log({
-                    "swings_analyzed": 1,
-                    "frames_processed": len(frames) if frames is not None else 0,
-                    "num_detections": len(detections) if detections is not None else 0
-                })
-                trackio.finish()
-            except Exception as _trackio_err:
-                print(f"Trackio logging skipped: {_trackio_err}")
+            # Trackio logging moved out of try block to avoid impacting UI
 
             # Keep the original video file for potential annotation
             # Video will be cleaned up when user uploads a new video or session ends
@@ -805,6 +791,28 @@ def main():
 
     # Show action buttons and their results (only if analysis is complete)
     if st.session_state.video_analyzed:
+        # Best-effort Trackio logging once per analyzed video
+        if not st.session_state.get("_trackio_logged_once"):
+            try:
+                import trackio
+                data = st.session_state.analysis_data
+                frames = data.get('frames')
+                detections = data.get('detections')
+                trackio.init(project="par-ity-golf-swing", config={
+                    "input_method": "YouTube URL" if isinstance(data.get('video_path'), str) and 'youtube' in data.get('video_path', '').lower() else "upload",
+                    "sample_rate": data.get('sample_rate', 1)
+                })
+                trackio.log({
+                    "swings_analyzed": 1,
+                    "frames_processed": len(frames) if frames is not None else 0,
+                    "num_detections": len(detections) if detections is not None else 0
+                })
+                trackio.finish()
+                st.session_state._trackio_logged_once = True
+            except Exception as _trackio_err:
+                # Never block UI due to telemetry
+                print(f"Trackio logging skipped: {_trackio_err}")
+
         # Display the GPT prompt in an expander
         if 'prompt' in st.session_state.analysis_data:
             with st.expander("View LLM Prompt", expanded=False):