Fixing questions storage issue and adding logs

app.py

@@ -34,11 +34,11 @@ You have two tools to notify Sushmitha: send_pushover_notification (instant push
 """
 
 UNCERTAINTY_MARKERS = [
-    "i'm uncertain", "i am uncertain",
+    "uncertain", "not sure", "not certain", "not fully",
     "i don't have", "i do not have",
-    "i'm not sure", "i am not sure",
     "i don't know", "i do not know",
-    "not mentioned", "i cannot provide", "i can't provide",
+    "not mentioned", "cannot provide", "can't provide",
+    "don't have enough", "limited information",
 ]
 
 def update_hf_dataset(new_doc: dict):
@@ -155,11 +155,18 @@ def respond_ai(message, history):
 
     # Log unanswered questions and notify via Pushover
     if any(m in full_content.lower() for m in UNCERTAINTY_MARKERS):
-        log_question(message)
+        print(f"*** UNCERTAINTY DETECTED — logging question: {message[:80]}")
+        try:
+            log_question(message)
+            print("*** Question logged successfully")
+        except Exception as e:
+            print(f"*** log_question failed: {e}")
         try:
             send_pushover_notification(f"Unanswered: {message[:100]}")
         except Exception as e:
-            print(f"Pushover failed: {e}")
+            print(f"*** Pushover failed: {e}")
+    else:
+        print("*** No uncertainty detected in response")
 
     # After full response, generate and show suggestion chips
     suggestions = generate_suggestions(message, full_content, context, client)

questions_store.py

@@ -26,13 +26,18 @@ def _fetch_from_hf() -> list[str]:
 
 def _upload_to_hf(questions: list[str]):
     from huggingface_hub import HfApi
-    HfApi().upload_file(
-        path_or_fileobj=json.dumps(questions, indent=2).encode(),
-        path_in_repo=_HF_FILENAME,
-        repo_id=os.getenv("HF_DATASET_REPO"),
-        repo_type="dataset",
-        token=os.getenv("HF_TOKEN"),
-    )
+    try:
+        HfApi().upload_file(
+            path_or_fileobj=json.dumps(questions, indent=2).encode(),
+            path_in_repo=_HF_FILENAME,
+            repo_id=os.getenv("HF_DATASET_REPO"),
+            repo_type="dataset",
+            token=os.getenv("HF_TOKEN"),
+        )
+        print(f"*** questions.json uploaded to HF ({len(questions)} questions)")
+    except Exception as e:
+        print(f"*** HF questions upload failed: {e}")
+        raise
 
 
 def log_question(question: str):