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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
'beans_logging' is a python package for simple logger and easily managing logging modules. It is a Loguru based custom logging package for python projects.
beans_logging
is a python package for simple logger and easily managing logging modules.
It is a Loguru
based custom logging package for python projects.
Choose one of the following methods to install the package [A ~ F]:
A. [RECOMMENDED] Install from PyPi
# Install or upgrade beans-logging package:
pip install -U beans-logging
B. Install latest version from GitHub
# Install package by git:
pip install git+https://github.com/bybatkhuu/module.python-logging.git
C. Install from pre-built release files
.whl
or .tar.gz
file from releases - https://github.com/bybatkhuu/module.python-logging/releases# Install from .whl file:
pip install ./beans_logging-[VERSION]-py3-none-any.whl
# Or install from .tar.gz file:
pip install ./beans_logging-[VERSION].tar.gz
D. Install from source code by building package
# Clone repository by git:
git clone https://github.com/bybatkhuu/module.python-logging.git beans_logging
cd ./beans_logging
# Install python build tool:
pip install -U pip build
# Build python package:
python -m build
_VERSION=$(./scripts/get-version.sh)
# Install from .whl file:
pip install ./dist/beans_logging-${_VERSION}-py3-none-any.whl
# Or install from .tar.gz file:
pip install ./dist/beans_logging-${_VERSION}.tar.gz
E. Install with pip editable development mode (from source code)
# Clone repository by git:
git clone https://github.com/bybatkhuu/module.python-logging.git beans_logging
cd ./beans_logging
# Install with editable development mode:
pip install -e .
F. Manually add to PYTHONPATH (not recommended)
# Clone repository by git:
git clone https://github.com/bybatkhuu/module.python-logging.git beans_logging
cd ./beans_logging
# Install python dependencies:
pip install -r ./requirements.txt
# Add current path to PYTHONPATH:
export PYTHONPATH="${PWD}:${PYTHONPATH}"
To use beans_logging
, import the logger
instance from the beans_logging.auto
package:
from beans_logging.auto import logger
You can call logging methods directly from the logger
instance:
logger.info("Logging info.")
logger:
app_name: "my-app"
level: "TRACE"
file:
log_handlers:
enabled: true
json_handlers:
enabled: true
from beans_logging.auto import logger
logger.trace("Tracing...")
logger.debug("Debugging...")
logger.info("Logging info.")
logger.success("Success.")
logger.warning("Warning something.")
logger.error("Error occured.")
logger.critical("CRITICAL ERROR.")
def divide(a, b):
_result = a / b
return _result
def nested(c):
try:
divide(5, c)
except ZeroDivisionError as err:
logger.error(err)
raise
try:
nested(0)
except Exception as err:
logger.exception("Show me, what value is wrong:")
Run the examples/simple
:
cd ./examples/simple
python ./main.py
Output:
[2023-09-01 00:00:00.000 +09:00 | TRACE | beans_logging._base:478]: Intercepted modules: ['concurrent', 'concurrent.futures', 'asyncio']; Muted modules: [];
[2023-09-01 00:00:00.000 +09:00 | TRACE | __main__:7]: Tracing...
[2023-09-01 00:00:00.000 +09:00 | DEBUG | __main__:8]: Debugging...
[2023-09-01 00:00:00.000 +09:00 | INFO | __main__:9]: Logging info.
[2023-09-01 00:00:00.000 +09:00 | OK | __main__:10]: Success.
[2023-09-01 00:00:00.000 +09:00 | WARN | __main__:11]: Warning something.
[2023-09-01 00:00:00.000 +09:00 | ERROR | __main__:12]: Error occured.
[2023-09-01 00:00:00.000 +09:00 | CRIT | __main__:13]: CRITICAL ERROR.
[2023-09-01 00:00:00.000 +09:00 | ERROR | __main__:25]: division by zero
[2023-09-01 00:00:00.000 +09:00 | ERROR | __main__:32]: Show me, what value is wrong:
Traceback (most recent call last):
> File "/home/user/workspaces/projects/beans_logging/examples/simple/./main.py", line 30, in <module>
nested(0)
└ <function nested at 0x10802a4c0>
File "/home/user/workspaces/projects/beans_logging/examples/simple/./main.py", line 23, in nested
divide(5, c)
│ └ 0
└ <function divide at 0x1052f31f0>
File "/home/user/workspaces/projects/beans_logging/examples/simple/./main.py", line 17, in divide
_result = a / b
│ └ 0
└ 5
ZeroDivisionError: division by zero
Checkout beans_logging_fastapi
package: https://github.com/bybatkhuu/module.fastapi-logging
pip install -U beans-logging[fastapi]
or pip install -U beans-logging-fastapi
To run tests, run the following command:
# Install python test dependencies:
pip install -r ./requirements.test.txt
# Run tests:
python -m pytest -v
You can use the following environment variables inside .env.example
file:
ENV=development
DEBUG=true
BEANS_LOGGING_DISABLE_DEFAULT=false
BEANS_LOGGING_CONFIG_PATH="./configs/logger.yml"
BEANS_LOGGING_LOGS_DIR="./logs"
You can use the following configuration template logger.yml
: file:
logger:
# app_name: "app"
level: "INFO"
use_diagnose: false
stream:
use_color: true
use_icon: false
format_str: "[<c>{time:YYYY-MM-DD HH:mm:ss.SSS Z}</c> | <level>{level_short:<5}</level> | <w>{name}:{line}</w>]: <level>{message}</level>"
std_handler:
enabled: true
file:
logs_dir: "./logs"
rotate_size: 10000000 # 10MB
rotate_time: "00:00:00"
backup_count: 90
log_handlers:
enabled: false
format_str: "[{time:YYYY-MM-DD HH:mm:ss.SSS Z} | {level_short:<5} | {name}:{line}]: {message}"
log_path: "{app_name}.std.all.log"
err_path: "{app_name}.std.err.log"
json_handlers:
enabled: false
use_custom: false
log_path: "{app_name}.json.all.log"
err_path: "{app_name}.json.err.log"
intercept:
auto_load:
enabled: true
only_base: false
ignore_modules: []
include_modules: []
mute_modules: []
extra:
FAQs
'beans_logging' is a python package for simple logger and easily managing logging modules. It is a Loguru based custom logging package for python projects.
We found that beans-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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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