| """ | |
| Structlog example configuration with FastAPI. | |
| Features: | |
| - async bound logger | |
| - contextvars to log request-id and other meta data | |
| - custom format for default logging loggers and structlog loggers | |
| """ | |
| import asyncio | |
| import logging |
This document was created back in 2020 and might not be actual nowadays. It is not supported anymore, so use thise information at your own risk.
wsl --set-default-version 2 in windows command line, so that all future WSL machine will use WSL2.| """ | |
| WARNING: dont use loguru, use structlog | |
| https://gist.github.com/nkhitrov/38adbb314f0d35371eba4ffb8f27078f | |
| Configure handlers and formats for application loggers. | |
| """ | |
| import logging | |
| import sys | |
| from pprint import pformat |
| from typing import Any, Generic, Type, TypeAlias, TypeVar | |
| from fastapi import status as http_status_code | |
| from pydantic import Field | |
| from pydantic.generics import GenericModel | |
| _Model = TypeVar("_Model") | |
| GenericResponse: TypeAlias = GenericModel |
| import asyncio | |
| import functools | |
| from typing import Any, Callable, Optional | |
| from celery import shared_task | |
| from rodi import Container, GetServiceContext | |
| from redis.asyncio.cluster import RedisCluster | |
| from sqlalchemy.ext.asyncio import AsyncSession |
| import contextvars | |
| import time | |
| from concurrent.futures import ThreadPoolExecutor, as_completed | |
| current_user = contextvars.ContextVar("ID of current user") | |
| shared_user = contextvars.ContextVar("ID of shared user") | |
| def say_hello(): | |
| time.sleep(1) |
| # TODO: fix high memory usage for rich models | |
| class Base: | |
| @classmethod | |
| def get_real_column_name(cls, attr_name: str) -> str: | |
| return getattr(inspect(cls).c, attr_name).name | |
| def __str__(self) -> str: | |
| return self.__repr__() |
| from loguru import logger | |
| def console_formatter(record) -> str: | |
| # WARNING !!! | |
| # Функция должна возвращать строку, которая содержит только шаблоны для форматирования. | |
| # Если в строку прокидывать значения из record (или еще откуда-либо), | |
| # то loguru может принять их за f-строки и попытается обработать, что приведет к ошибке. | |
| # Например, если нужно достать какое-то значение из поля extra, вместо того чтобы прокидывать его в строку формата, | |
| # нужно прокидывать подстроку вида {extra[тут_ключ]} |
| How to manually setup flake8 as PyCharm external tool | |
| File / Settings / Tools / External Tools / Add | |
| Name: Flake8 | |
| Program: $PyInterpreterDirectory$/python | |
| Parameters: -m flake8 --max-complexity 10 --ignore E501 $FilePath$ | |
| Working directory: $ProjectFileDir$ | |
| Output Filters / Add | |
| Name: Filter 1 |
| import os | |
| import logging.config | |
| import structlog | |
| from .app import app | |
| timestamper = structlog.processors.TimeStamper(fmt="iso") | |
| pre_chain = [ | |
| # Add the log level and a timestamp to the event_dict if the log entry is not from structlog. | |
| structlog.stdlib.add_log_level, |