Update mtdna_backend.py

mtdna_backend.py

@@ -25,6 +25,7 @@ import threading
 #@lru_cache(maxsize=3600)
 def pipeline_classify_sample_location_cached(accession,stop_flag=None, save_df=None):
     print("inside pipeline_classify_sample_location_cached, and [accession] is ", [accession])
+    print("len of save df: ", len(save_df))
     return pipeline.pipeline_with_gemini([accession],stop_flag=stop_flag, save_df=save_df)    
 
 # Count and suggest final location
@@ -170,6 +171,7 @@ def summarize_results(accession, stop_flag=None):
             return None
 
         save_df = pd.DataFrame(data[1:], columns=data[0])
+        print("before pipeline, len of save df: ", len(save_df))
         outputs = pipeline_classify_sample_location_cached(accession, stop_flag, save_df)
         if stop_flag is not None and stop_flag.value:
             print(f"🛑 Skipped {accession} mid-pipeline.")
@@ -538,6 +540,7 @@ def save_batch_output(all_rows, output_type, summary_text=None, flag_text=None):
 #         print(f"⚠️ Failed to load known samples from Google Sheets: {e}")
 #         return None
 def check_known_output(accession):
+    print("inside check known output function")
     try:
         # ✅ Load credentials from Hugging Face secret
         creds_dict = json.loads(os.environ["GCP_CREDS_JSON"])