Metadata-Version: 2.1
Name: tasklogger
Version: 1.2.0
Summary: tasklogger
Home-page: https://github.com/scottgigante/tasklogger
Download-URL: https://github.com/scottgigante/tasklogger/archive/v1.2.0.tar.gz
Author: Scott Gigante, Yale University
Author-email: scott.gigante@yale.edu
License: GNU General Public License Version 2
Keywords: big-data,tool-development,programming
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.6
Provides-Extra: test
License-File: LICENSE

==========
tasklogger
==========

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An extension to the core python logging library for logging the beginning and completion of tasks and subtasks.

Installation
------------

tasklogger is available on `pip`. Install by running the following in a terminal::

    pip install --user tasklogger

Alternatively, tasklogger can be installed using `Conda <https://conda.io/docs/>`_ (most easily obtained via the `Miniconda Python distribution <https://conda.io/miniconda.html>`_)::

    conda install -c conda-forge tasklogger

Usage examples
--------------

Receive timed updates mid-computation using ``tasklogger.log_start`` and ``tasklogger.log_complete``::

    >>> import tasklogger
    >>> import time
    >>> tasklogger.log_start("Supertask")
    Calculating Supertask...
    >>> time.sleep(1)
    >>> tasklogger.log_start("Subtask")
      Calculating Subtask...
    >>> time.sleep(1)
    >>> tasklogger.log_complete("Subtask")
      Calculated Subtask in 1.01 seconds.
    >>> time.sleep(1)
    >>> tasklogger.log_complete("Supertask")
    Calculated Supertask in 3.02 seconds.

Simplify logging syntax with ``tasklogger.log_task``::

    >>> import tasklogger
    >>> import time
    >>> with tasklogger.log_task("Supertask"):
    ...     time.sleep(1)
    ...     with tasklogger.log_task("Subtask"):
    ...        time.sleep(1)
    ...     time.sleep(1)
    Calculating Supertask...
      Calculating Subtask...
      Calculated Subtask in 1.01 seconds.
    Calculated Supertask in 3.02 seconds.

Log wall time, CPU time, or any other counter function with the class API::

    >>> import tasklogger
    >>> import time
    >>> logger = tasklogger.TaskLogger(name='cpu_logger', timer='cpu', min_runtime=0)
    >>> with logger.log_task("Supertask"):
    ...     time.sleep(1)
    ...     with logger.log_task("Subtask"):
    ...        _ = [[(i,j) for j in range(i)] for i in range(1000)]
    ...     time.sleep(1)
    Calculating Supertask...
      Calculating Subtask...
      Calculated Subtask in 0.09 seconds.
    Calculated Supertask in 0.09 seconds.
    >>> logger = tasklogger.TaskLogger(name='nano_logger', timer=time.monotonic_ns)
    >>> with logger.log_task("Supertask"):
    ...     time.sleep(1)
    ...     with logger.log_task("Subtask"):
    ...        time.sleep(1)
    ...     time.sleep(1)
    Calculating Supertask...
      Calculating Subtask...
      Calculated Subtask in 1001083511.00 seconds.
    Calculated Supertask in 3003702161.00 seconds.

Use ``tasklogger`` for all your logging needs::

    >>> tasklogger.log_info("Log some stuff that doesn't need timing")
    Log some stuff that doesn't need timing
    >>> tasklogger.log_debug("Log some stuff that normally isn't needed")
    >>> tasklogger.set_level(2)
    Set TaskLogger logging to DEBUG
    >>> tasklogger.log_debug("Log some stuff that normally isn't needed")
    Log some stuff that normally isn't needed
