structlog | Simple , powerful , and fast logging for Python
kandi X-RAY | structlog Summary
kandi X-RAY | structlog Summary
Simple, powerful, and fast logging for Python.
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Top functions reviewed by kandi - BETA
- Log an error
- Proxy method to method_to
- Log an error message
- Create a new logger instance
- Create a new logger
- Write an exception back to sio
- Format the exception
- Unbind given keys
- Creates a new bound logger
- Log an exception raised
- Dispatches the given method to the given event
- Add a handler to the logger
- Log a debug event
- Log an informational message
- Set the log level
- Make a pretty call stack
- Log a critical event
- Logs a message
- Creates a logging bound to the given level
- Unbind this logger
- Log a message at the given level
- Type check filtering
- Creates a filter logger
- Try to remove keys from the context
- Return the thread local instance
- Log a message to the scheduler
structlog Key Features
structlog Examples and Code Snippets
Lines of Code : 33License : Permissive (MIT)
Copyimport sentry_sdk
import structlog
from structlog_sentry import SentryProcessor
sentry_sdk.init() # pass dsn in argument or via SENTRY_DSN env variable
structlog.configure(
processors=[
structlog.stdlib.add_logger_name, # optional, b from lambdacore import log_invocation
@log_invocation
def handler(event, context):
return {
'statusCode': 200,
'body': 'Hello world!'
}
# as a context manager
with log_duration('needle in haystack'):
find_needle(haystack from asnake.client import ASnakeClient
import asnake.logging as logging
logging.setup_logging(level='DEBUG') # logging takes several arguments, provides defaults, etc
# NOW it is safe to initialize any ASnake stuff
client = ASnakeClient()
logging. import logging
import os
import structlog
TRACE = 19
structlog.stdlib.TRACE = TRACE = 5 # this overrides the 19 above with a 5, is that right?
structlog.stdlib._NAME_TO_LEVEL['trace'] = TRACE
structlog.stdlib._LEVEL_TO_NAME[TRACE] = 'tr>>> import logging
>>> logger = logging.getLogger() # this is the root logger
>>> logger.handlers
[]
>>> logging.basicConfig(level=logging.DEBUG)
>>> logger.handlers
[ (NOTSET)>]
>>>Community Discussions
Trending Discussions on structlog
QUESTION
I have a custom logger including processors, handlers etc. . I would like to wrap the "py.warnings" logger which I understand is used by the warnings so that my processors are 'injected'. However, running the following code does not change anything to the warning that is printed to the console.
...ANSWER
Answered 2021-May-19 at 10:46This is not gonna work like this. structlog.wrap_logger() is specifically made such that it has no side-effects and you have to use its return value for logging, to use structlog.
You will have to configure logging to use structlog which is documented here. In a nutshell, structlog comes with a logging-style formatter that allows you to use structlog to format all logging entries with a dedicated processor chain.
QUESTION
I am currently using the python structlog JSONRenderer and hoping to change my log configuration to render the event as the 1st JSON attribute for better readability.
Current Configuration:
...ANSWER
Answered 2021-Jan-26 at 04:59The structlog.processors.JSONRenderer just passes the log object to json.dumps unless you specify another callable instead:
QUESTION
I'm unable to disable logging which is by default turned on via structlog
Here's my code below:
Input file contain:
...ANSWER
Answered 2021-Jan-11 at 06:39Your example contains neither structlog nor logging configuration nor a call to either – so it's kinda difficult to help you. I'm gonna take a wild guess and assume that the log entries are coming from arsenic.
If you want to control structlog via stdlib as your subject insinuates, you have to configure it to integrate with stdlib. That is documented here: https://www.structlog.org/en/stable/standard-library.html#suggested-configurations
Afterwards, structlog will log through stdlib and thus respect stdlib's log levels.
QUESTION
I have a flask app which will run a scrappy spider. The app works fine in my developement machine however when I run it in container the close method of the spider is not executed.
Here is the code to the spider:
...ANSWER
Answered 2020-Nov-07 at 13:18After lots of debugging, it seemed in the end that were no issues there. I just needed to add -u after python3 to add logging.
QUESTION
my setup.py is like below:
ANSWER
Answered 2020-Sep-21 at 09:50Probably not what you want to hear but... setup_requires and tests_require are deprecated. Although they (probably) still work (mostly) fine, you might want to look for alternative solutions. As far as I know the most common alternative solutions are to use Tox instead of tests_require and PEP 518 to replace setup_requires.
In your case, it seems that your usage of setup_requires is only a consequence of your usage of tests_require. So by switching to something like Tox you get rid of both tests_require and setup_requires.
QUESTION
I am trying to setup structlog and set log level. My code looks like this:
...ANSWER
Answered 2020-Sep-04 at 04:37Well, the reason my filter didn't work is this: https://www.structlog.org/en/stable/processors.html#adapting
Last filter in chain is special and can't just return a dictionary.
And the following filter did the trick:
QUESTION
I used Structlog and Celery in my Django application and both work very well, but I would like to prevent task_id from appearing in the log when the worker executes tasks. How can I do that?
The reason is that task_id is a key:value of 36 characters long so it makes log output hard to read.
ANSWER
Answered 2020-Jul-24 at 03:27The format of a log line is controlled by the formatter set on the handler of the logger in question. If you're seeing the task ID in the log, that implies that you are hitting the celery task logger (celery.utils.log.get_task_logger). Modify that formatter, and you can configure logging to remove the task ID from the log line. Here is a sample yaml dictionary config you can use with logging.dictConfig to control the format of the celery task logger:
QUESTION
I'm attempting to run collectstatic on a stage deploy to AWS. I'm getting the following error, and no files are being placed in the bucket:
...ANSWER
Answered 2020-May-28 at 15:25Found an answer on another site from someone that was having a similar issue. It seems S3Boto3Storage is throwing IOError but ManifestFilesMixin is expecting FileNotFound. This solved my issue and I'm now seeing the hashed files in my S3 bucket along with a staticfiles.json.
QUESTION
I have a Django app which works as expected locally. It creates a user in a migration:
...ANSWER
Answered 2020-May-16 at 14:54This was caused by a blank password supplied in config resulting in an un-usable password being set. User.objects.create_superuser sets an unusable password when an empty string is supplied. The docs say:
If no password is provided, set_unusable_password() will be called.
However an empty string seems to be treated as "no password" (which was unexpected, although not so surprising given Python's falsy treatment of empty strings). There was a bug in the configuration of the service which caused an empty password to be passed to it.
The reason for the unexpected different format is that an un-usable password appears not to use the same hash function structure.
QUESTION
I am working with a large code base using SQL Alchemy. We recently changed to structlog for logging and the SQLAlchemy behavior has changed. In functions where data is inserted into MySQL, if the session.commit() call is before the log statement AND not in the finally clause, the object becomes None.
model_obj is empty when returned in the following code:
...ANSWER
Answered 2020-May-03 at 13:55SQLAlchemy expires all objects in a session when the session is committed. That is to say, all the column-value attributes of a model instance are removed from its __dict__
This can be prevented by passing expire_on_commit=False when creating the session; be aware that the data in expired instances may be stale.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install structlog
You can use structlog like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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