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1. Top results related to python 2.6 logging

   • Logging python errors on raspberry pi

     Top Answer

     Answered May 18, 2015 · 4 votes

     As it stands you're just capturing stdout. Modify your invocation to the following:

     sudo python appname.py >> logfile.log 2>&1-

     This will redirect both stdout and stderr.

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     1/5

   • Python logging, how to have a single logger for multiple scripts of the same project (Python 2.7)?

     Top Answer

     Answered Feb 10, 2023 · 0 votes

     As @chepner commented, you can create a function that enables the logger. You can also create a logging configuration file that you can parse via logging.config.fileConfig.

     Function

     You can create a function that creates the logger with the correct handler. Note that this function needs to be called only once for the entire run of the application. Indeed, the logging config is defined globally across the entire app.

     def init_logging(): from datetime import datetime import logging from logging import handlers- dt_now = datetime.today().strftime('%Y%m%d') sender = '[email protected]' recipients ='[email protected]' sub_err = "Process Failed"- # Set up logging log_file = ("//some_server/some_dir/another_dir/logs/{}.txt".format(dt_now)) logger = logging.getLogger("foobar") logger.setLevel(logging.DEBUG) file_handle = logging.FileHandler(log_file) stream_handle = logging.StreamHandler() email_handle = handlers.SMTPHandler( mailhost="mailhost.domain.com", fromaddr=sender, toaddrs=recipients, subject=sub_err, secure=None ) email_handle.setLevel(logging.WARNING) file_handle.setLevel(logging.DEBUG) stream_handle.setLevel(logging.DEBUG) log_format = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') handles = [email_handle, file_handle, stream_handle] for handle in handles: handle.setFormatter(log_format) logger.addHandler(handle)-

     You can then use the logger created here inside any script like this:

     from .logging import init_logging-init_logging()-# foobar is accessible, and has all the handlers as defined in init_loggingfoobarlogger = getLogger("foobar")foobarlogger.info("Hello, world!")-

     Note: Since the definition of the handler is global, you can also put the code, not inside a function but inside the __init__.py file of a module, defining it at first import, and making it usable throughout the entire app.

     Another way to proceed would be to use logging.config.fileConfig

     . You can setup your logging handlers, loggers, formatters etc. inside this file.

     Create a logging.conf file:

     [loggers]keys=root, foobar-[handlers]keys=console, file, email-[formatters]keys=simpleFormatter-[logger_root]level=DEBUGhandlers=console-[logger_foobar]level=DEBUGhandlers=file, console, emailqualname=foobarpropagate=0-[handler_file]class=FileHandlerlevel=DEBUGformatter=simpleFormatterargs=({"/some_server/some_dir/another_dir/logs/log.txt"})-[handler_console]class=StreamHandlerlevel=DEBUGformatter=simpleFormatter-[handler_email]class=handlers.SMTPHandlerlevel=WARNINGargs=('mailhost.domain.com', '[email protected]', ['[email protected]'], 'Process Failed')formatter=simpleFormatter-[formatter_simpleFormatter]format=%(asctime)s - %(levelname)s - %(message)s-

     Then, you can load this file and create all the logging environment with:

     import logging.config-# only do it once, since the loaded logging config is global!logging.config.fileConfig("logging.conf")-# then, in any file, you can do:foobarlogger = logging.getLogger("foobar")foobarlogger.info("Hello, world!")-

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     2/5

   • Logging Python keywords to log.html like robot keywords

     Top Answer

     Answered Sep 10, 2017 · 0 votes

     Your image in comments helped me to realize your problem.

     Is there any decorator for keywords or other method to "tell" for robot that methods inside that keyword are too keywords?

     As I know, there isn't such decorator. Robot has no knowledge about internal call-graph of a Python keyword and is unable to produce tree-like structure for logs of your internal function calls.

     I think, there is a workaround for that. Logging and return value are the only ways that you can communicate to Robot Framework from within your Python code and tell it something. I suggest you to use logging API to make your Robot Framework log more structured and this decorator is one of several things you can do:

     from robot.api import logger-def logged_keyword(some_function): def wrapper(): logger.info('start of {}'.format(some_function.__name__)) some_function() logger.info('end of {}'.format(some_function.__name__)) return wrapper-def show_my_name(): logger.info('Tommy') print_colour()-@logged_keyworddef print_colour(): logger.info('blue') print_other_colour()-@logged_keyworddef print_other_colour(): logger.info('white')-

     There is a way to tell to Robot Framework that you are logging HTML rather than plain text; so, you can use a decorator to log HTML mark-ups to help Robot Framework structure your log messages. Maybe the HTML source of Robot Framework log is a good place to start (inspect element in browser).

     def markuped_keyword(some_function): def wrapper(): logger.info('<div>', html=True) some_function() logger.info('</div>', html=True) return wrapper-

     You should refine the mark-up to have a tree-like structure for your logs.

     Good luck!

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     3/5

   • Python 2.6: os.rename() or os.renames() reports OSError but filename is None

     Top Answer

     Answered May 23, 2017 · 1 votes

     The same happens in python 2.7.8 so I guess that it was intentional.

     BUT:

     In python 3.4 a second attribute filename2 was added to OSError as stated by @Random832 and the attributes are set correctly.

     This PEP 3151 may shed a bit of light, in particular:

     Since WindowsError is coalesced into OSError, the latter gains a winerror attribute under Windows. It is set to None under situations where it is not meaningful, as is already the case with the errno , filename and strerror attributes (for example when OSError is raised directly by Python code).

     and below:

     In order to preserve useful compatibility , these subclasses should still set adequate values for the various exception attributes defined on the superclass (for example errno , filename , and optionally winerror ).

     The PEP is marked as accepted for version 3.3. Moreover 3.3 docs says:

     For exceptions that involve a file system path (such as open() or os.unlink()), the exception instance will contain an additional attribute, filename, which is the file name passed to the function.

     It isn't exactly clear for which functions the attribute is set but based on the above I would say that the rename function definitely involves a file name, and therefore the filename attribute should be set.

     If you find any other PEP regarding this, feel free to add it.

     The only reason I can think of at the moment is that in the rename function you use two file names, so it might be unclear which one to set on the exception filename attribute (any thoughts about this?).

     Your solution regarding the correction of the attribute is doable if you need the value to be set, at least in my opinion.

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     4/5

   • Python logging: create log if not exists or open and continue logging if it does

     Top Answer

     Answered Jan 20, 2017 · 45 votes

     The logging module's FileHandler takes care of that for you. No need for complexity.

     The handler takes an optional mode parameter, to specify whether it starts writing or appending data to it.

     From the docs:

     class logging.FileHandler(filename, mode='a', encoding=None, delay=False)

     </b>

     The specified file is opened and used as the stream for logging. If mode is not specified, 'a' is used.

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     5/5

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2. stackoverflow.com · questions · 33175763How to use logging NullHandler in python 2.6 - Stack Overflow

   stackoverflow.com · questions · 33175763

   

   Oct 16, 2015 · Depending on how distributed your issue is, the solution from the Python Guide (and ultimately from requests source) might work: try importing NullHandler and in the except ImportError clause, define the class like so: # Set default logging handler to avoid "No handler found" warnings. import logging. try: # Python 2.7+.

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4. documentation.help · Python-2 · logginglogging — Logging facility for Python - Python 2.6 Documentation

   documentation.help · Python-2 · logging

   

   logging — Logging facility for Python. New in version 2.3. This module defines functions and classes which implement a flexible error logging system for applications. Logging is performed by calling methods on instances of the Logger class (hereafter called loggers ).

5. python.readthedocs.io · en · v2Logging HOWTO — Python 2.7.2 documentation - Read the Docs

   python.readthedocs.io · en · v2

   

   Logging is a means of tracking events that happen when some software runs. The software’s developer adds logging calls to their code to indicate that certain events have occurred. An event is described by a descriptive message which can optionally contain variable data (i.e. data that is potentially different for each occurrence of the event).

6. docs.python.org · 3 · librarylogging — Logging facility for Python — Python 3.12.6 ...

   docs.python.org · 3 · library

   

   For logging to be useful, it needs to be configured: setting the levels and destinations for each logger, potentially changing how specific modules log, often based on command-line arguments or application configuration.

7. stackoverflow.com · questions · 29064182Using python 2.7. logging in python 2.6 - Stack Overflow

   stackoverflow.com · questions · 29064182

   

   Mar 15, 2015 · Is there a way to use the logging package of python 2.7 in python 2.6? There are a few things that I need like not disabling existing loggers or the dictConfig function.

8. docs.python.org · 3 · howtoLogging Cookbook — Python 3.12.6 documentation

   docs.python.org · 3 · howto

   

   Loggers are plain Python objects. The addHandler () method has no minimum or maximum quota for the number of handlers you may add. Sometimes it will be beneficial for an application to log all messages of all severities to a text file while simultaneously logging errors or above to the console.

9. People also ask

   How does logging work in Python?

   • If the library user configures logging for application use, presumably that configuration will add some handlers, and if levels are suitably configured then logging calls made in library code will send output to those handlers, as normal. A do-nothing handler is included in the logging package: NullHandler (since Python 2.7).

   Logging HOWTO — Python 2.7.2 documentation - Read the Docs

   python.readthedocs.io/en/v2.7.2/howto/logging.html

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   How do I configure logging in Python?

   • Programmers can configure logging in three ways: Creating loggers, handlers, and formatters explicitly using Python code that calls the configuration methods listed above. Creating a logging config file and reading it using the fileConfig () function. Creating a dictionary of configuration information and passing it to the dictConfig () function.

   Logging HOWTO — Python 2.7.2 documentation - Read the Docs

   python.readthedocs.io/en/v2.7.2/howto/logging.html

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   How do I use a logger in Python?

   • If you run myapp.py, you should see this in myapp.log: The key feature of this idiomatic usage is that the majority of code is simply creating a module level logger with getLogger(__name__), and using that logger to do any needed logging. This is concise, while allowing downstream code fine-grained control if needed.

   logging — Logging facility for Python — Python 3.12.5 documentation

   docs.python.org/3/library/logging.html

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   What's new in Python logging?

   • Since then, Python has gained two new formatting approaches: string.Template (added in Python 2.4) and str.format () (added in Python 2.6). Logging (as of 3.2) provides improved support for these two additional formatting styles. The Formatter class been enhanced to take an additional, optional keyword parameter named style.

   Logging Cookbook — Python 3.12.5 documentation

   docs.python.org/3/howto/logging-cookbook.html

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10. stackoverflow.com · questions · 11927278How to configure Logging in Python - Stack Overflow

    stackoverflow.com · questions · 11927278

    

    Aug 13, 2012 · The inbuilt logging module in python requires some handful of lines of code to configure log4j-like features viz - file appender, file rotation based on both time & size. For one-liner implementation of the features in your code, you can use the package autopylogger. Here are the basics. 1. Install package.