Update utils/functions.py

utils/functions.py

@@ -86,21 +86,6 @@ def add_to_history(message, phone_number, analysis, risk, recommendations):
     save_json(HISTORY_FILE, history)
     logging.info(f"Dodano wpis do history.json dla numeru {phone_number}.")
 
-def get_history():
-    """Pobiera historię analiz z pliku history.json jako listę słowników."""
-    history = load_json(HISTORY_FILE)
-    logging.info("Historia analiz została pobrana pomyślnie.")
-    return history
-
-def get_analysis_history():
-    """Zwraca szczegółową historię analiz z pliku history.json."""
-    history = load_json(HISTORY_FILE)
-    if history:
-        return history
-    else:
-        logging.info("Brak zapisanej historii analiz.")
-        return []
-
 def update_stats(fraud_detected=False):
     """Aktualizuje statystyki analiz w pliku stats.json."""
     stats = load_json(STATS_FILE)
@@ -295,8 +280,6 @@ You are an advanced AI assistant specializing in identifying fake SMS messages.
 - Do you have access to other tools that can help you assess this message?
 - What actions can you take to enhance your security in the future?
 </recommendations>
-
-Your response should be formatted exactly as specified above, using the <analysis>, <risk_assessment>, and <recommendations> tags. Ensure that each section is thoroughly and comprehensively filled out.
         """
     }
 
@@ -325,7 +308,9 @@ Provide your analysis and conclusions following the guidelines above."""
     }
 
     try:
+        logging.info(f"Wysyłanie żądania do API z payload: {payload}")
         response = requests.post(url, headers=headers, json=payload)
+        logging.info(f"Odpowiedź API: {response.status_code} - {response.text}")
         if response.status_code == 200:
             data = response.json()
             ai_response = data['choices'][0]['message']['content']