Spaces:
Sleeping
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Update app.py
Browse files
app.py
CHANGED
|
@@ -41,10 +41,8 @@ visitor_data_cache = {}
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def download_data_from_hf():
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global visitor_data_cache
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if not HF_TOKEN_READ:
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-
logging.warning("HF_TOKEN_READ not set. Skipping Hugging Face download.")
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return False
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try:
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-
logging.info(f"Attempting to download {HF_DATA_FILE_PATH} from {REPO_ID}...")
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hf_hub_download(
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repo_id=REPO_ID,
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filename=HF_DATA_FILE_PATH,
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@@ -55,20 +53,17 @@ def download_data_from_hf():
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force_download=True,
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etag_timeout=10
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)
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-
logging.info("Data file successfully downloaded from Hugging Face.")
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with _data_lock:
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try:
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with open(DATA_FILE, 'r', encoding='utf-8') as f:
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visitor_data_cache = json.load(f)
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logging.info("Successfully loaded downloaded data into cache.")
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except (FileNotFoundError, json.JSONDecodeError) as e:
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logging.error(f"Error reading downloaded data file: {e}. Starting with empty cache.")
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visitor_data_cache = {}
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return True
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except RepositoryNotFoundError:
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-
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except Exception as e:
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-
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return False
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def load_visitor_data():
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@@ -78,15 +73,11 @@ def load_visitor_data():
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try:
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with open(DATA_FILE, 'r', encoding='utf-8') as f:
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visitor_data_cache = json.load(f)
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logging.info("Visitor data loaded from local JSON.")
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except FileNotFoundError:
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logging.warning(f"{DATA_FILE} not found locally. Starting with empty data.")
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visitor_data_cache = {}
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except json.JSONDecodeError:
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logging.error(f"Error decoding {DATA_FILE}. Starting with empty data.")
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visitor_data_cache = {}
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except Exception as e:
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logging.error(f"Unexpected error loading visitor data: {e}")
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visitor_data_cache = {}
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return visitor_data_cache
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@@ -96,17 +87,14 @@ def save_visitor_data(data):
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visitor_data_cache.update(data)
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with open(DATA_FILE, 'w', encoding='utf-8') as f:
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json.dump(visitor_data_cache, f, ensure_ascii=False, indent=4)
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logging.info(f"Visitor data successfully saved to {DATA_FILE}.")
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upload_data_to_hf_async()
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except Exception as e:
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-
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def upload_data_to_hf():
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if not HF_TOKEN_WRITE:
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logging.warning("HF_TOKEN_WRITE not set. Skipping Hugging Face upload.")
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return
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if not os.path.exists(DATA_FILE):
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logging.warning(f"{DATA_FILE} does not exist. Skipping upload.")
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return
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try:
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@@ -114,10 +102,8 @@ def upload_data_to_hf():
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with _data_lock:
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file_content_exists = os.path.getsize(DATA_FILE) > 0
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if not file_content_exists:
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logging.warning(f"{DATA_FILE} is empty. Skipping upload.")
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return
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logging.info(f"Attempting to upload {DATA_FILE} to {REPO_ID}/{HF_DATA_FILE_PATH}...")
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api.upload_file(
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path_or_fileobj=DATA_FILE,
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path_in_repo=HF_DATA_FILE_PATH,
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@@ -126,9 +112,8 @@ def upload_data_to_hf():
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token=HF_TOKEN_WRITE,
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commit_message=f"Update visitor data {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
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)
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logging.info("Visitor data successfully uploaded to Hugging Face.")
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except Exception as e:
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-
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def upload_data_to_hf_async():
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upload_thread = threading.Thread(target=upload_data_to_hf, daemon=True)
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@@ -136,11 +121,9 @@ def upload_data_to_hf_async():
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def periodic_backup():
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if not HF_TOKEN_WRITE:
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logging.info("Periodic backup disabled: HF_TOKEN_WRITE not set.")
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return
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while True:
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time.sleep(3600)
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logging.info("Initiating periodic backup...")
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upload_data_to_hf()
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def verify_telegram_data(init_data_str):
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@@ -163,13 +146,12 @@ def verify_telegram_data(init_data_str):
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auth_date = int(parsed_data.get('auth_date', [0])[0])
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current_time = int(time.time())
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if current_time - auth_date > 86400:
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-
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return parsed_data, True
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else:
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-
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return parsed_data, False
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except Exception as e:
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logging.error(f"Error verifying Telegram data: {e}")
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return None, False
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TEMPLATE = """
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@@ -644,7 +626,7 @@ TEMPLATE = """
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const modal = document.getElementById("saveModal");
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const saveCardBtn = document.getElementById("save-card-btn");
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const closeBtn = document(
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if (saveCardBtn && modal && closeBtn) {
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saveCardBtn.addEventListener('click', (e) => {
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@@ -902,7 +884,6 @@ dp = Dispatcher()
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def generate_bot_response(query: str, context: str):
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if not GEMINI_API_KEY:
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logging.warning("GEMINI_API_KEY not set. Cannot use AI.")
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return "Извините, функция ответа с использованием AI временно недоступна."
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lower_query = query.lower()
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@@ -947,7 +928,6 @@ ASSISTANT RESPONSE:"""
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return response.text.strip()
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except Exception as e:
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logging.error(f"Error generating AI response: {e}")
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return "Извините, произошла ошибка при обработке вашего запроса."
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@dp.message()
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@@ -955,7 +935,6 @@ async def handle_message(message: types.Message):
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logging.info(f"Received message from user {message.from_user.id}: {message.text}")
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user_query = message.text
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if not user_query:
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logging.warning("Received empty message.")
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return
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try:
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@@ -974,136 +953,28 @@ async def handle_message(message: types.Message):
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try:
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await message.answer("Извините, произошла внутренняя ошибка при обработке вашего сообщения.")
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except Exception:
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-
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@app.route('/')
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def index():
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theme_params = {}
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return render_template_string(TEMPLATE, theme=theme_params)
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-
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@app.route('/verify', methods=['POST'])
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def verify_data():
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try:
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req_data = request.get_json()
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init_data_str = req_data.get('initData')
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if not init_data_str:
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return jsonify({"status": "error", "message": "Missing initData"}), 400
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-
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user_data_parsed, is_valid = verify_telegram_data(init_data_str)
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-
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user_info_dict = {}
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if user_data_parsed and 'user' in user_data_parsed:
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try:
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user_json_str = unquote(user_data_parsed['user'][0])
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user_info_dict = json.loads(user_json_str)
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except Exception as e:
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logging.error(f"Could not parse user JSON: {e}")
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user_info_dict = {}
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-
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if is_valid:
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user_id = user_info_dict.get('id')
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if user_id:
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now = time.time()
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user_entry = {
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str(user_id): {
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'id': user_id,
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'first_name': user_info_dict.get('first_name'),
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'last_name': user_info_dict.get('last_name'),
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'username': user_info_dict.get('username'),
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'photo_url': user_info_dict.get('photo_url'),
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'language_code': user_info_dict.get('language_code'),
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'is_premium': user_info_dict.get('is_premium', False),
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'phone_number': user_info_dict.get('phone_number'),
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'visited_at': now,
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'visited_at_str': datetime.fromtimestamp(now).strftime('%Y-%m-%d %H:%M:%S')
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}
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}
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save_visitor_data(user_entry)
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return jsonify({"status": "ok", "verified": True, "user": user_info_dict}), 200
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-
else:
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logging.warning(f"Verification failed for user: {user_info_dict.get('id')}")
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return jsonify({"status": "error", "verified": False, "message": "Invalid data"}), 403
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-
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except Exception as e:
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logging.exception("Error in /verify endpoint")
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return jsonify({"status": "error", "message": "Internal server error"}), 500
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-
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@app.route('/admin')
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def admin_panel():
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current_data = load_visitor_data()
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users_list = list(current_data.values())
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return render_template_string(ADMIN_TEMPLATE, users=users_list)
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-
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@app.route('/admin/download_data', methods=['POST'])
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def admin_trigger_download():
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success = download_data_from_hf()
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if success:
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return jsonify({"status": "ok", "message": "Скачивание данных с Hugging Face завершено. Страница будет обновлена."})
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else:
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return jsonify({"status": "error", "message": "Ошибка скачивания данных с Hugging Face. Проверьте логи."}), 500
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-
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@app.route('/admin/upload_data', methods=['POST'])
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def admin_trigger_upload():
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if not HF_TOKEN_WRITE:
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return jsonify({"status": "error", "message": "HF_TOKEN_WRITE не настроен на сервере."}), 400
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upload_data_to_hf_async()
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return jsonify({"status": "ok", "message": "Загрузка данных на Hugging Face запущена в фоновом режиме."})
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-
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def start_bot_polling():
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logging.info("Starting bot polling thread...")
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try:
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asyncio.
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logging.info("Bot polling stopped.")
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except Exception as e:
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logging.exception("Bot polling failed")
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if __name__ == '__main__':
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-
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logging.info("--- MORSHEN GROUP SERVER (FLASK + AIOGRAM) ---")
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logging.info("---")
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logging.info(f"Flask server starting on http://{HOST}:{PORT}")
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logging.info(f"Using Bot Token ID: {BOT_TOKEN.split(':')[0]}")
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logging.info(f"Visitor data file: {DATA_FILE}")
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logging.info(f"Hugging Face Repo: {REPO_ID}")
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| 1069 |
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logging.info(f"HF Data Path: {HF_DATA_FILE_PATH}")
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if not HF_TOKEN_READ or not HF_TOKEN_WRITE:
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logging.warning("---")
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logging.warning("--- WARNING: HUGGING FACE TOKEN(S) NOT SET ---")
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logging.warning("--- Backup/restore functionality will be limited. Set HF_TOKEN_READ and HF_TOKEN_WRITE environment variables.")
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logging.warning("---")
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-
else:
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logging.info("--- Hugging Face tokens found.")
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logging.info("--- Attempting initial data download from Hugging Face...")
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download_data_from_hf()
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-
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| 1080 |
-
if not GEMINI_API_KEY:
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logging.warning("---")
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logging.warning("--- WARNING: GEMINI_API_KEY NOT SET ---")
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logging.warning("--- AI response functionality will be limited or unavailable. Set GEMINI_API_KEY environment variable.")
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logging.warning("---")
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-
else:
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logging.info("--- GEMINI_API_KEY found.")
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logging.info(f"--- Using AI model: {GENAI_MODEL}")
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-
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load_visitor_data()
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logging.warning("---")
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logging.warning("--- SECURITY WARNING ---")
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logging.warning("--- The /admin route and its sub-routes are NOT protected.")
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| 1094 |
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logging.warning("--- Implement proper authentication before deploying.")
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logging.warning("---")
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-
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if HF_TOKEN_WRITE:
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backup_thread = threading.Thread(target=periodic_backup, daemon=True)
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backup_thread.start()
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logging.info("--- Periodic backup thread started (every hour).")
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| 1101 |
-
else:
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logging.info("--- Periodic backup disabled (HF_TOKEN_WRITE missing).")
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bot_thread = threading.Thread(target=start_bot_polling, daemon=True)
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bot_thread.start()
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-
logging.info("--- Telegram bot polling thread initiated.")
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logging.info("--- Server Ready ---")
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app.run(host=HOST, port=PORT, debug=False)
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def download_data_from_hf():
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global visitor_data_cache
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if not HF_TOKEN_READ:
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return False
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try:
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hf_hub_download(
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repo_id=REPO_ID,
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filename=HF_DATA_FILE_PATH,
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force_download=True,
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etag_timeout=10
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)
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with _data_lock:
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try:
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with open(DATA_FILE, 'r', encoding='utf-8') as f:
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visitor_data_cache = json.load(f)
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| 60 |
except (FileNotFoundError, json.JSONDecodeError) as e:
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visitor_data_cache = {}
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return True
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except RepositoryNotFoundError:
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+
pass
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| 65 |
except Exception as e:
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+
pass
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return False
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| 69 |
def load_visitor_data():
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try:
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with open(DATA_FILE, 'r', encoding='utf-8') as f:
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visitor_data_cache = json.load(f)
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| 76 |
except FileNotFoundError:
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| 77 |
visitor_data_cache = {}
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| 78 |
except json.JSONDecodeError:
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|
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| 79 |
visitor_data_cache = {}
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| 80 |
except Exception as e:
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visitor_data_cache = {}
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| 82 |
return visitor_data_cache
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| 83 |
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visitor_data_cache.update(data)
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| 88 |
with open(DATA_FILE, 'w', encoding='utf-8') as f:
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json.dump(visitor_data_cache, f, ensure_ascii=False, indent=4)
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| 90 |
upload_data_to_hf_async()
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| 91 |
except Exception as e:
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| 92 |
+
pass
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| 93 |
|
| 94 |
def upload_data_to_hf():
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| 95 |
if not HF_TOKEN_WRITE:
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| 96 |
return
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| 97 |
if not os.path.exists(DATA_FILE):
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|
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| 98 |
return
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| 99 |
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| 100 |
try:
|
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| 102 |
with _data_lock:
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| 103 |
file_content_exists = os.path.getsize(DATA_FILE) > 0
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| 104 |
if not file_content_exists:
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| 105 |
return
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| 106 |
|
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api.upload_file(
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| 108 |
path_or_fileobj=DATA_FILE,
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path_in_repo=HF_DATA_FILE_PATH,
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token=HF_TOKEN_WRITE,
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commit_message=f"Update visitor data {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
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| 114 |
)
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|
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| 115 |
except Exception as e:
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| 116 |
+
pass
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| 117 |
|
| 118 |
def upload_data_to_hf_async():
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| 119 |
upload_thread = threading.Thread(target=upload_data_to_hf, daemon=True)
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| 121 |
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| 122 |
def periodic_backup():
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| 123 |
if not HF_TOKEN_WRITE:
|
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|
|
| 124 |
return
|
| 125 |
while True:
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| 126 |
time.sleep(3600)
|
|
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| 127 |
upload_data_to_hf()
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| 128 |
|
| 129 |
def verify_telegram_data(init_data_str):
|
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| 146 |
auth_date = int(parsed_data.get('auth_date', [0])[0])
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| 147 |
current_time = int(time.time())
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| 148 |
if current_time - auth_date > 86400:
|
| 149 |
+
pass
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| 150 |
return parsed_data, True
|
| 151 |
else:
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| 152 |
+
pass
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| 153 |
return parsed_data, False
|
| 154 |
except Exception as e:
|
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|
| 155 |
return None, False
|
| 156 |
|
| 157 |
TEMPLATE = """
|
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|
|
| 626 |
|
| 627 |
const modal = document.getElementById("saveModal");
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| 628 |
const saveCardBtn = document.getElementById("save-card-btn");
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| 629 |
+
const closeBtn = document.getElementById("modal-close-btn");
|
| 630 |
|
| 631 |
if (saveCardBtn && modal && closeBtn) {
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| 632 |
saveCardBtn.addEventListener('click', (e) => {
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| 884 |
|
| 885 |
def generate_bot_response(query: str, context: str):
|
| 886 |
if not GEMINI_API_KEY:
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|
| 887 |
return "Извините, функция ответа с использованием AI временно недоступна."
|
| 888 |
|
| 889 |
lower_query = query.lower()
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|
| 928 |
return response.text.strip()
|
| 929 |
|
| 930 |
except Exception as e:
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|
| 931 |
return "Извините, произошла ошибка при обработке вашего запроса."
|
| 932 |
|
| 933 |
@dp.message()
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|
| 935 |
logging.info(f"Received message from user {message.from_user.id}: {message.text}")
|
| 936 |
user_query = message.text
|
| 937 |
if not user_query:
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|
| 938 |
return
|
| 939 |
|
| 940 |
try:
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|
| 953 |
try:
|
| 954 |
await message.answer("Извините, произошла внутренняя ошибка при обработке вашего сообщения.")
|
| 955 |
except Exception:
|
| 956 |
+
pass
|
| 957 |
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| 958 |
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|
| 959 |
def start_bot_polling():
|
| 960 |
+
logging.info("Starting bot polling thread (signals disabled)...")
|
| 961 |
try:
|
| 962 |
+
loop = asyncio.new_event_loop()
|
| 963 |
+
asyncio.set_event_loop(loop)
|
| 964 |
+
loop.run_until_complete(dp.start_polling(bot, handle_signals=False))
|
| 965 |
logging.info("Bot polling stopped.")
|
| 966 |
except Exception as e:
|
| 967 |
logging.exception("Bot polling failed")
|
| 968 |
|
| 969 |
if __name__ == '__main__':
|
| 970 |
+
download_data_from_hf()
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|
| 971 |
load_visitor_data()
|
| 972 |
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|
| 973 |
if HF_TOKEN_WRITE:
|
| 974 |
backup_thread = threading.Thread(target=periodic_backup, daemon=True)
|
| 975 |
backup_thread.start()
|
|
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|
| 976 |
|
| 977 |
bot_thread = threading.Thread(target=start_bot_polling, daemon=True)
|
| 978 |
bot_thread.start()
|
|
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|
| 979 |
|
|
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|
| 980 |
app.run(host=HOST, port=PORT, debug=False)
|