Enhance bot functionality and refactor database interactions

- Added `ca-certificates` installation to Dockerfile for improved network security.
- Updated health check command in Dockerfile to include better timeout handling.
- Refactored `run_helper.py` to implement proper signal handling and logging during shutdown.
- Transitioned database operations to an asynchronous model in `async_db.py`, improving performance and responsiveness.
- Updated database schema to support new foreign key relationships and optimized indexing for better query performance.
- Enhanced various bot handlers to utilize async database methods, improving overall efficiency and user experience.
- Removed obsolete database and fix scripts to streamline the project structure.
This commit is contained in:
2025-09-02 18:22:02 +03:00
parent 013892dcb7
commit 1c6a37bc12
59 changed files with 5682 additions and 4204 deletions

View File

@@ -59,10 +59,43 @@ class MetricsServer:
async def health_handler(self, request: web.Request) -> web.Response:
"""Handle /health endpoint for health checks."""
return web.Response(
text="OK",
content_type='text/plain'
)
try:
# Проверяем доступность метрик
if not metrics:
return web.Response(
text="ERROR: Metrics not available",
content_type='text/plain',
status=503
)
# Проверяем, что можем получить метрики
try:
metrics_data = metrics.get_metrics()
if not metrics_data:
return web.Response(
text="ERROR: Empty metrics",
content_type='text/plain',
status=503
)
except Exception as e:
return web.Response(
text=f"ERROR: Metrics generation failed: {e}",
content_type='text/plain',
status=503
)
return web.Response(
text="OK",
content_type='text/plain',
status=200
)
except Exception as e:
self.logger.error(f"Health check failed: {e}")
return web.Response(
text=f"ERROR: Health check failed: {e}",
content_type='text/plain',
status=500
)
async def start(self) -> None:
"""Start the HTTP server."""
@@ -122,5 +155,12 @@ async def stop_metrics_server() -> None:
"""Stop metrics server if running."""
global metrics_server
if metrics_server:
await metrics_server.stop()
metrics_server = None
try:
await metrics_server.stop()
logger = logging.getLogger(__name__)
logger.info("Metrics server stopped successfully")
except Exception as e:
logger = logging.getLogger(__name__)
logger.error(f"Error stopping metrics server: {e}")
finally:
metrics_server = None