Andrey
c68db87901
- Removed unnecessary `__init__.py` and `Dockerfile` to streamline project organization. - Updated `.dockerignore` and `.gitignore` to improve exclusion patterns for build artifacts and environment files. - Enhanced `Makefile` with new commands for managing Docker containers and added help documentation. - Introduced `pyproject.toml` for better project metadata management and dependency tracking. - Updated `requirements.txt` to reflect changes in dependencies for metrics and monitoring. - Refactored various handler files to improve code organization and maintainability.
118 lines
3.8 KiB
Python
118 lines
3.8 KiB
Python
"""
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Example integration of metrics monitoring in the main bot file.
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This shows how to integrate the metrics system without modifying existing handlers.
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"""
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import asyncio
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import logging
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from aiogram import Bot, Dispatcher
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from aiogram.enums import ParseMode
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from aiogram.fsm.storage.memory import MemoryStorage
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# Import metrics components
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from .utils.metrics import metrics
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from .utils.metrics_exporter import MetricsManager
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from .middlewares.metrics_middleware import MetricsMiddleware, ErrorMetricsMiddleware
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# Import your existing bot components
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# from .handlers import ... # Your existing handlers
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# from .database.db import BotDB # Your existing database class
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class BotWithMetrics:
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"""Bot class with integrated metrics monitoring."""
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def __init__(self, token: str, metrics_port: int = 8000):
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self.bot = Bot(token=token, parse_mode=ParseMode.HTML)
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self.storage = MemoryStorage()
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self.dp = Dispatcher(storage=self.storage)
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# Initialize metrics manager
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# You can pass your database instance here if needed
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# self.metrics_manager = MetricsManager(port=metrics_port, db=your_db_instance)
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self.metrics_manager = MetricsManager(port=metrics_port)
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# Setup middlewares
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self._setup_middlewares()
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# Setup handlers (your existing handlers)
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# self._setup_handlers()
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self.logger = logging.getLogger(__name__)
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def _setup_middlewares(self):
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"""Setup metrics middlewares."""
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# Add metrics middleware first to capture all events
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self.dp.message.middleware(MetricsMiddleware())
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self.dp.callback_query.middleware(MetricsMiddleware())
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# Add error tracking middleware
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self.dp.message.middleware(ErrorMetricsMiddleware())
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self.dp.callback_query.middleware(ErrorMetricsMiddleware())
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# Your existing middlewares can go here
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# self.dp.message.middleware(YourExistingMiddleware())
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def _setup_handlers(self):
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"""Setup bot handlers."""
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# Import and register your existing handlers here
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# from .handlers.admin import admin_router
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# from .handlers.private import private_router
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# from .handlers.group import group_router
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# from .handlers.callback import callback_router
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#
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# self.dp.include_router(admin_router)
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# self.dp.include_router(private_router)
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# self.dp.include_router(group_router)
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# self.dp.include_router(callback_router)
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pass
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async def start(self):
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"""Start the bot with metrics."""
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try:
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# Start metrics collection
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await self.metrics_manager.start()
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self.logger.info("Metrics system started")
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# Start bot polling
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await self.dp.start_polling(self.bot)
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except Exception as e:
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self.logger.error(f"Error starting bot: {e}")
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raise
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finally:
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await self.stop()
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async def stop(self):
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"""Stop the bot and metrics."""
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try:
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# Stop metrics collection
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await self.metrics_manager.stop()
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self.logger.info("Metrics system stopped")
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# Stop bot
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await self.bot.session.close()
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self.logger.info("Bot stopped")
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except Exception as e:
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self.logger.error(f"Error stopping bot: {e}")
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# Example usage function
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async def main():
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"""Main function to run the bot with metrics."""
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# Your bot token
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TOKEN = "YOUR_BOT_TOKEN_HERE"
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# Create and start bot
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bot = BotWithMetrics(TOKEN)
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try:
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await bot.start()
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except KeyboardInterrupt:
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await bot.stop()
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if __name__ == "__main__":
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asyncio.run(main())
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