Refactor metrics handling and improve logging

- Removed the MetricsManager initialization from `run_helper.py` to avoid duplication, as metrics are now handled in `main.py`.
- Updated logging levels in `server_prometheus.py` and `metrics_middleware.py` to use debug instead of info for less critical messages.
- Added metrics configuration to `BaseDependencyFactory` for better management of metrics settings.
- Deleted the obsolete `metrics_exporter.py` file to streamline the codebase.
- Updated various tests to reflect changes in the metrics handling and ensure proper functionality.

helper_bot/utils/base_dependency_factory.py

@@ -43,6 +43,11 @@ class BaseDependencyFactory:
             'test': self._parse_bool(os.getenv('TEST', 'false'))
         }
 
+        self.settings['Metrics'] = {
+            'host': os.getenv('METRICS_HOST', '0.0.0.0'),
+            'port': self._parse_int(os.getenv('METRICS_PORT', '8080'))
+        }
+
     def _parse_bool(self, value: str) -> bool:
         """Парсит строковое значение в boolean."""
         return value.lower() in ('true', '1', 'yes', 'on')

helper_bot/utils/metrics_exporter.py

@@ -1,290 +0,0 @@
-"""
-Metrics exporter for Prometheus.
-Provides HTTP endpoint for metrics collection and background metrics collection.
-"""
-
-import asyncio
-import logging
-from aiohttp import web
-from typing import Optional, Dict, Any, Protocol
-from .metrics import metrics
-import time
-
-
-class DatabaseProvider(Protocol):
-    """Protocol for database operations."""
-    
-    async def fetch_one(self, query: str, params: tuple = ()) -> Optional[Dict[str, Any]]:
-        """Execute query and return single result."""
-        ...
-
-
-class MetricsCollector(Protocol):
-    """Protocol for metrics collection operations."""
-    
-    async def collect_user_metrics(self, db: DatabaseProvider) -> None:
-        """Collect user-related metrics."""
-        ...
-
-
-class UserMetricsCollector:
-    """Concrete implementation of user metrics collection."""
-    
-    def __init__(self, logger: logging.Logger):
-        self.logger = logger
-    
-    async def collect_user_metrics(self, db: DatabaseProvider) -> None:
-        """Collect user-related metrics from database."""
-        try:
-            # Проверяем, есть ли метод fetch_one (асинхронная БД)
-            if hasattr(db, 'fetch_one'):
-                # Используем UNIX timestamp для сравнения с date_changed
-                current_timestamp = int(time.time())
-                one_day_ago = current_timestamp - (24 * 60 * 60)  # 24 часа назад
-                
-                active_users_query = """
-                    SELECT COUNT(DISTINCT user_id) as active_users
-                    FROM our_users 
-                    WHERE date_changed > ?
-                """
-                result = await db.fetch_one(active_users_query, (one_day_ago,))
-                if result:
-                    metrics.set_active_users(result['active_users'], 'daily')
-                    self.logger.debug(f"Updated active users: {result['active_users']}")
-                else:
-                    metrics.set_active_users(0, 'daily')
-                    self.logger.debug("Updated active users: 0")
-            # Проверяем синхронную БД BotDB
-            elif hasattr(db, 'connect') and hasattr(db, 'cursor'):
-                # Используем синхронный запрос для BotDB в отдельном потоке
-                import asyncio
-                from concurrent.futures import ThreadPoolExecutor
-                
-                current_timestamp = int(time.time())
-                one_day_ago = current_timestamp - (24 * 60 * 60)  # 24 часа назад
-                
-                active_users_query = """
-                    SELECT COUNT(DISTINCT user_id) as active_users
-                    FROM our_users 
-                    WHERE date_changed > ?
-                """
-                
-                def sync_db_query():
-                    try:
-                        db.connect()
-                        db.cursor.execute(active_users_query, (one_day_ago,))
-                        result = db.cursor.fetchone()
-                        return result[0] if result else 0
-                    finally:
-                        db.close()
-                
-                # Выполняем синхронный запрос в отдельном потоке
-                loop = asyncio.get_event_loop()
-                with ThreadPoolExecutor() as executor:
-                    result = await loop.run_in_executor(executor, sync_db_query)
-                
-                metrics.set_active_users(result, 'daily')
-                self.logger.debug(f"Updated active users: {result}")
-            else:
-                metrics.set_active_users(0, 'daily')
-                self.logger.warning("Database doesn't support fetch_one or connect methods")
-                
-        except Exception as e:
-            self.logger.error(f"Error collecting user metrics: {e}")
-            metrics.set_active_users(0, 'daily')
-
-
-class DependencyProvider(Protocol):
-    """Protocol for dependency injection."""
-    
-    def get_db(self) -> DatabaseProvider:
-        """Get database instance."""
-        ...
-
-
-class BackgroundMetricsCollector:
-    """Background service for collecting periodic metrics using dependency injection."""
-    
-    def __init__(
-        self, 
-        dependency_provider: DependencyProvider,
-        metrics_collector: MetricsCollector,
-        interval: int = 60
-    ):
-        self.dependency_provider = dependency_provider
-        self.metrics_collector = metrics_collector
-        self.interval = interval
-        self.running = False
-        self.logger = logging.getLogger(__name__)
-    
-    async def start(self):
-        """Start background metrics collection."""
-        self.running = True
-        self.logger.info("Background metrics collector started")
-        
-        while self.running:
-            try:
-                await self._collect_metrics()
-                await asyncio.sleep(self.interval)
-            except Exception as e:
-                self.logger.error(f"Error in background metrics collection: {e}")
-                await asyncio.sleep(self.interval)
-    
-    async def stop(self):
-        """Stop background metrics collection."""
-        self.running = False
-        self.logger.info("Background metrics collector stopped")
-    
-    async def _collect_metrics(self):
-        """Collect periodic metrics using dependency injection."""
-        try:
-            db = self.dependency_provider.get_db()
-            if db:
-                await self.metrics_collector.collect_user_metrics(db)
-            else:
-                self.logger.warning("Database not available for metrics collection")
-                
-        except Exception as e:
-            self.logger.error(f"Error collecting metrics: {e}")
-
-
-class MetricsExporter:
-    """HTTP server for exposing Prometheus metrics."""
-    
-    def __init__(self, host: str = "0.0.0.0", port: int = 8000):
-        self.host = host
-        self.port = port
-        self.app = web.Application()
-        self.runner: Optional[web.AppRunner] = None
-        self.site: Optional[web.TCPSite] = None
-        self.logger = logging.getLogger(__name__)
-        
-        # Setup routes
-        self.app.router.add_get('/metrics', self.metrics_handler)
-        self.app.router.add_get('/health', self.health_handler)
-        self.app.router.add_get('/', self.root_handler)
-    
-    async def start(self):
-        """Start the metrics server."""
-        try:
-            self.runner = web.AppRunner(self.app)
-            await self.runner.setup()
-            
-            self.site = web.TCPSite(self.runner, self.host, self.port)
-            await self.site.start()
-            
-            self.logger.info(f"Metrics server started on {self.host}:{self.port}")
-        except Exception as e:
-            self.logger.error(f"Failed to start metrics server: {e}")
-            raise
-    
-    async def stop(self):
-        """Stop the metrics server."""
-        try:
-            if self.site:
-                await self.site.stop()
-                self.logger.info("Metrics server site stopped")
-            
-            if self.runner:
-                await self.runner.cleanup()
-                self.logger.info("Metrics server runner cleaned up")
-                
-        except Exception as e:
-            self.logger.error(f"Error stopping metrics server: {e}")
-        finally:
-            # Очищаем ссылки
-            self.site = None
-            self.runner = None
-            # Даем время на закрытие всех соединений
-            await asyncio.sleep(0.1)
-            self.logger.info("Metrics server stopped")
-    
-    async def metrics_handler(self, request: web.Request) -> web.Response:
-        """Handle /metrics endpoint for Prometheus."""
-        try:
-            metrics_data = metrics.get_metrics()
-            self.logger.debug(f"Generated metrics: {len(metrics_data)} bytes")
-            
-            return web.Response(
-                body=metrics_data,
-                content_type='text/plain; version=0.0.4'
-            )
-        except Exception as e:
-            self.logger.error(f"Error generating metrics: {e}")
-            return web.Response(
-                text=f"Error generating metrics: {e}",
-                status=500
-            )
-    
-    async def health_handler(self, request: web.Request) -> web.Response:
-        """Handle /health endpoint for health checks."""
-        return web.json_response({
-            "status": "healthy",
-            "service": "telegram-bot-metrics"
-        })
-    
-    async def root_handler(self, request: web.Request) -> web.Response:
-        """Handle root endpoint with basic info."""
-        return web.json_response({
-            "service": "Telegram Bot Metrics Exporter",
-            "endpoints": {
-                "/metrics": "Prometheus metrics",
-                "/health": "Health check",
-                "/": "This info"
-            }
-        })
-
-
-class MetricsManager:
-    """Main class for managing metrics collection and export."""
-    
-    def __init__(self, host: str = "0.0.0.0", port: int = 8000):
-        self.exporter = MetricsExporter(host, port)
-        
-        # Dependency injection setup
-        from helper_bot.utils.base_dependency_factory import get_global_instance
-        dependency_provider = get_global_instance()
-        metrics_collector = UserMetricsCollector(logging.getLogger(__name__))
-        
-        self.collector = BackgroundMetricsCollector(
-            dependency_provider=dependency_provider,
-            metrics_collector=metrics_collector
-        )
-        self.logger = logging.getLogger(__name__)
-    
-    async def start(self):
-        """Start metrics collection and export."""
-        try:
-            # Start metrics exporter
-            await self.exporter.start()
-            
-            # Start background collector
-            asyncio.create_task(self.collector.start())
-            
-            self.logger.info("Metrics manager started successfully")
-            
-        except Exception as e:
-            self.logger.error(f"Failed to start metrics manager: {e}")
-            raise
-    
-    async def stop(self):
-        """Stop metrics collection and export."""
-        try:
-            # Останавливаем background collector
-            if hasattr(self, 'collector'):
-                await self.collector.stop()
-                self.logger.info("Background metrics collector stopped")
-            
-            # Останавливаем exporter
-            if hasattr(self, 'exporter'):
-                await self.exporter.stop()
-                self.logger.info("Metrics exporter stopped")
-                
-        except Exception as e:
-            self.logger.error(f"Error stopping metrics manager: {e}")
-            # Не вызываем raise, чтобы не прерывать процесс завершения
-        finally:
-            # Очищаем ссылки
-            self.collector = None
-            self.exporter = None
-            self.logger.info("Metrics manager stopped successfully")