logging feature

src/logging/__init__.py

@@ -0,0 +1,9 @@
+#logger decorators and middlewares
+
+import logging
+
+from .logger import LoggerDB
+
+sql_logger = logging.getLogger("sqlalchemy.engine")
+sql_logger.setLevel(logging.INFO)
+sql_logger.addHandler(LoggerDB())

src/logging/logger.py

@@ -0,0 +1,66 @@
+import asyncio
+import json
+import logging
+from time import gmtime, perf_counter, strftime
+from typing import cast
+
+import aiofiles
+from fastapi import Request
+from starlette.concurrency import iterate_in_threadpool
+from starlette.middleware.base import BaseHTTPMiddleware
+from starlette.responses import Response, StreamingResponse
+
+
+class ProcessingTimeMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next)->Response:
+        start_time = perf_counter()
+        response = await call_next(request)
+        process_time = perf_counter() - start_time
+        response.headers["X-Process-Time"] = str(process_time)
+        return response
+
+
+class LoggingMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next) -> Response:
+        current_time = strftime("%a, %d %b %Y %H:%M:%S +0000", gmtime())
+        file_time=strftime("%b_%Y", gmtime())
+        response = await call_next(request)
+        streaming_response = cast(StreamingResponse, response)
+        
+        chunks = []
+        async for chunk in streaming_response.body_iterator:
+            if isinstance(chunk, str):
+                chunks.append(chunk.encode())
+            else:
+                chunks.append(bytes(chunk))
+
+        body_bytes = b"".join(chunks)
+        streaming_response.body_iterator = iterate_in_threadpool(iter([body_bytes]))
+
+        try:
+            body = json.loads(body_bytes)
+            body=body.get("detail", None)
+        except (json.JSONDecodeError, TypeError):
+            body = None
+
+        client_ip = request.headers.get('x-forwarded-for', '').split(',')[0].strip() or (request.client.host if request.client else 'unknown')
+
+        async with aiofiles.open(f"./logs/endpoints_log_{file_time}.txt", "a") as file:
+            await file.write(f"[{current_time}] [{response.status_code}] [{body}] [{client_ip}]\n")
+
+        return response
+
+
+class LoggerDB(logging.Handler):
+    
+    def emit(self, record: logging.LogRecord) -> None:
+        msg = self.format(record)
+        asyncio.create_task(self._write(msg))
+
+    async def _write(self, msg: str) -> None:
+        
+        file_time = strftime("%b_%Y", gmtime())
+        current_time = strftime("%a, %d %b %Y %H:%M:%S +0000", gmtime())
+        
+        async with aiofiles.open(f"./logs/sql_log_{file_time}.txt", "a") as f:
+            await f.write(f"[{current_time}] {msg}\n")

src/models/database_models/model.py

@@ -15,7 +15,7 @@ from sqlalchemy import (
 from sqlalchemy.ext.asyncio import create_async_engine
 from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
 
-engine = create_async_engine("sqlite+aiosqlite:///DB/database.db", echo=True)
+engine = create_async_engine("sqlite+aiosqlite:///DB/database.db")
 
 '''remember as a boilerplate, or just cp/pst'''
 class Model(DeclarativeBase):