log2d 0.0.4

Simple, powerful wrapper for logging

INTRODUCTION

log2d is a simple but powerful wrapper around Python's logging module in the standard library and can be installed via PIP in the normal way:

python -m pip install log2d --upgrade

It aims to provide the best parts of logging (like automatic, rotating backup files) to users who don't want or need to learn every nuance of the module itself and perhaps simply want to wean themselves off print() statements and organise their output in a better "2 Dimensional" way (hence the name - log2d).

What I mean by this is that unless you delve quite deeply into the logging module, you'd be forgiven for thinking you can only log your output according to the standard log levels, namely: DEBUG, INFO, WARNING, ERROR, or CRITICAL. Such an approach is linear or "1 Dimensional" since it's based solely on the importance of a message.

A very common use case however is the need to capture different types of message. Hence TWO dimensions - imagine a graph with "Type" on one axis and "Importance" on the other...

In web-scraping apps for example, it's useful to collect the HTTP requests which succeeded or failed or needed a few retries, quite apart from any general Exceptions arising from your actual code. You might also want a nice (separate) log of overall progress and timings i.e. how long particular scrapers take to complete.

log2d makes it simple to create, customise, and use a new logger for each of these types of output, for example sending progress messages just to the console, and creating separate .log files for successes, failures, retries, exceptions, and timings.

It does so in a concise, readable, and (dare I claim?) "Pythonic" way, that doesn't require mastery of the logging module itself. It allows you to create a sophisticated logger with powerful default features enabled in just one line of code, then send output to that logger whenever and from wherever you like - also in just one line.

SETUP

Simply import the Log class into your Python script:

from log2d import Log

BASIC USE

Create a named logger that only outputs to the console ("stdout") using default message formatting and date format:

Log("root")
Log.root.warning("Danger, Will Robinson!")

Output: root|WARNING|2022-09-25 12:38:07|Danger, Will Robinson!

In place of .warning you can use any of the standard log levels, either upper or lower case: DEBUG, INFO, WARNING, ERROR, and CRITICAL

You could specify a logger name with spaces and other characters rather than underscores, but you wouldn't then be able to use Python's nice .attribute notation. If your log name was "my main log" you'd need to use getattr(Log, "my main log").warning("...") instead.

Set a minimum level of message to capture (in plain English rather than using numeric values):

Log("my_title", level="WARNING")

Create your own shortcut to log a message at the default level:

log_failures = Log("failures")
log_failures("Insert your failure message here")

Output: failures|DEBUG  |2022-09-25 12:37:33|Insert your failure message here

The default log level used by Log is actually DEBUG. This change to the logging default of WARNING is intended to make things safer and more predictable for unfamiliar users who might otherwise be sending DEBUG and INFO level messages and wondering why they're not being logged.

You can even use this feature to overwrite the print function and convert every old print() line into a logging command. _print = print; print = Log("print")

Create a logger that just outputs to a file each time:

log_successes = Log("success", to_file=True, to_stdout=False)
log_successes("log2d for the win!")
Log.success.critical("Alert! Alert!")

(Creates and updates ./success.log)

Specify a folder/directory for a specific logger:

Log("my_title", path="./output")

NB to_file is automatically set to True if a path is supplied.

The default path is the current working directory "" or "."

If a non-existent folder/directory is specified, FileNotFoundError will be raised.

OTHER KEYWORD OPTIONS AND UTILITY METHODS

Create a new log file for each session and automatically create 10 rotating backups:

results = Log("session_results", to_file=True, mode="a", backup_count=10)

The current log file will always be session_results.log but for subsequent sessions this will be copied to session_results.log.1 then session_results.log.2 etc until the backup count is reached, then start again on a rotating basis.

If backup_count is not specified, the default number of backups is 5.

Preview a particular message format and/or date format - either one of the supplied presets, or one of your own design:

Log.preview(fmt=Log.presets["timestamp_only"], datefmt=Log.date_formats["time"])

Output: 13:10:06|This is a preview log entry.

Log.preview(datefmt="%m-%d::%H:%M")

Output: temp_preview|09-25::15:36|This is a preview log entry.

Preview all combinations of message/date presets:

Log.preview_all()

Create a logger using a preset message/date format or one of your own design:

Log("my_title", fmt=Log.presets["func_file_name"], datefmt=Log.date_formats["date_and_time"])

Add a new date format or message format preset at the class level, such that future instances can use them:

Log.date_formats["my_date_format"] = "%m-%d %H:%M"
Log.presets["my_message_format"] = "%(asctime)s (%(name)s): %(message)s"

For more information on composing your own formats see:

https://docs.python.org/3/library/logging.html#formatter-objects

https://docs.python.org/3/library/logging.html#logging.LogRecord

In general terms, the values of attributes such as level, fmt, datefmt, to_file, to_stdout, path, mode, and backup_count can be set for a specific logger by supplying them as keyword arguments on initialisation. Where no argument is supplied for a new logger, the class level defaults will be used. Default attributes can also be set at a class level in the normal way:

Log.path = "./my_logs"

Access a list of all Log instances:

Log.index