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FastAPI-and-Logging simplifies log handling, allowing for effective organization, tracking, and analysis of logs in FastAPI applications, aiding in debugging and issue resolut
FastAPI-and-Logging simplifies log handling, allowing for effective organization, tracking, and analysis of logs in FastAPI applications, aiding in debugging and issue resolution.
Support for:
pip install fastapi-and-logging
This FastAPIIncomingLog
class is designed to log incoming system requests using FastAPI.
app
: It is used to set route_class.request_id_builder
: A function to build a request identifier, if specified(It uses uuid4 by default).log_builder
: A function used to construct logs.get_request_data
: A function used to retrieve request information.get_response_data
: A function used to retrieve response information.response_max_len
: The maximum length of a response stored in the log (default is 5000).log_path (optional)
: Log file path.log_type
: The type of logging, which can be one of various types (default is LogTypeEnum.FILE).To use this class, you can create an instance of it and set it as the route_class
for your relevant Router in your FastAPI application.
from fastapi import FastAPI
from fastapi_and_logging import FastAPIIncomingLog
app = FastAPI()
FastAPIIncomingLog(app)
The provided default functions (get_request_data
, get_response_data
, and log_builder
) serve as customizable components for the FastAPIIncomingLog
class. Here's how you can customize and use them:
get_request_data
This function is responsible for extracting and formatting request data.
from fastapi_and_logging import Request
from fastapi_and_logging.fastapi import get_request_data
async def customize_get_request_data(request: Request):
# You can also use the output of the default function
data = await get_request_data(request)
return data
get_response_data
This function handles the processing of response data.
from fastapi import Response
from fastapi_and_logging.fastapi import get_response_data
def customize_get_response_data(response: Response) -> dict | str:
# You can also use the output of the default function
data = get_response_data(response)
return data
log_builder
The log_builder function constructs the log data based on various parameters.
from fastapi import Request, Response
from user_agents.parsers import UserAgent
from fastapi_and_logging.fastapi import log_builder
def customize_log_builder(
request: Request,
response: Response,
request_data: dict | str,
response_data: dict | str,
user_agent: UserAgent,
start_time: int,
end_time: int,
duration: int,
):
# You can also use the output of the default function
data = log_builder(**)
return data
To log all exceptions, simply use the ExceptionLogger class.
app
: It is used to add exception handlers.log_path (optional)
: Log file path.log_type
: The type of logging, which can be one of various types (default is LogTypeEnum.FILE).set_default_handlers
: Whether to set default exception handlers (default: True).from fastapi import FastAPI
from fastapi_and_logging import ExceptionLogger
app = FastAPI()
ExceptionLogger(app)
You can also add your own exception handlers as follows:
from fastapi import FastAPI, Request
from fastapi_and_logging import ExceptionLogger
app = FastAPI(debug=False)
exception_logger = ExceptionLogger(app=app)
async def test_exception_handler(request: Request, exc: Exception):
return JSONResponse(
content={"message": "Internal Server Error"},
)
exception_logger.add_exception_handler(Exception, test_exception_handler)
Note: Currently it only supports httpx and aiohttp.
You can easily log all apicalls using httpx by adding the HTTPXLogger class.
request_hook (optional)
: A callable object that serves as a hook for capturing and logging HTTP requests. It takes a single parameter, the request object, and does not return any value. Defaults to None..response_hook (optional)
: A callable object that acts as a hook to capture and log HTTP responses. Any value returned will be logged.sync_client (optional)
: A boolean value indicating whether the logging functionality should be applied to synchronous HTTP clients. If True, the hooks and configuration will be set for synchronous clients. Defaults to True.async_client (optional)
: A boolean value indicating whether the logging functionality should be applied to asynchronous HTTP clients. If True, the hooks and configuration will be set for asynchronous clients. Defaults to True.request_max_len (optional)
: An integer specifying the maximum length of the request body to be logged. If the request body exceeds this length, it will be truncated. Defaults to 5000 .response_max_len (optional)
: An integer specifying the maximum length of the response body to be logged. If the response body exceeds this length, it will be truncated. Defaults to 5000.log_path (optional)
: Log file path.log_type (optional)
: Specifies the type of logging, currently it takes two values: console and file.import httpx
from fastapi import FastAPI
from fastapi_and_logging.http_clients import HTTPXLogger
app = FastAPI()
HTTPXLogger()
@app.get("/")
def index():
with httpx.Client() as client:
response = client.get("http://localhost:8000/path")
# AsyncClient
@app.get("/")
async def index():
async with httpx.AsyncClient() as client:
response = await client.get("http://localhost:8000/path")
You can easily log all apicalls using httpx by adding the AioHttpLogger class.
request_hook (optional)
: A callable object that serves as a hook for capturing and logging HTTP requests. It takes a single parameter, the request object, and does not return any value. Defaults to None..response_hook (optional)
: A callable object that acts as a hook to capture and log HTTP responses. Any value returned will be logged.request_max_len (optional)
: An integer specifying the maximum length of the request body to be logged. If the request body exceeds this length, it will be truncated. Defaults to 5000 .response_max_len (optional)
: An integer specifying the maximum length of the response body to be logged. If the response body exceeds this length, it will be truncated. Defaults to 5000.log_path (optional)
: Log file path.log_type (optional)
: Specifies the type of logging, currently it takes two values: console and file.import aiohttp
from fastapi import FastAPI
from fastapi_and_logging.http_clients import AioHttpLogger
app = FastAPI()
AioHttpLogger()
@app.get("/")
async def index():
async with aiohttp.ClientSession() as session:
async with session.get(
"http://localhost:8000/path",
) as response:
...
To be able to have the request data or request ID associated with the incoming log in the apicall log, you need to follow the following steps. Additionally, you can send your desired parameters to log in the trace_request_ctx as well.
import aiohttp
from fastapi import Request
@app.get("/")
async def index(request: Request):
payload = {"name": "FastAPI And Logging"}
async with aiohttp.ClientSession() as session:
async with session.post(
"http://localhost:8000/path",
json = payload,
trace_request_ctx = {
"request_id": request.state.request_id,
"request_data": payload,
}
) as response:
...
FAQs
FastAPI-and-Logging simplifies log handling, allowing for effective organization, tracking, and analysis of logs in FastAPI applications, aiding in debugging and issue resolut
We found that fastapi-and-logging demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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