"""
Flask-Log-Request-Id
====================

|CircleCI|

**Flask-Log-Request-Id** is an extension for `Flask`_ that can parse and handle
the request-id sent by request processors like `Amazon ELB`_, `Heroku Request-ID`_
or any multi-tier infrastructure as the one used at microservices. A common
usage scenario is to inject the request\_id in the logging system so that all
log records, even those emitted by third party libraries, have attached the
request\_id that initiated their call. This can greatly improve tracing and debugging of problems.


Features
--------

Flask-Log-Request-Id provides the ``current_request_id()`` function which can be used
at any time to get the request id of the initiated execution chain. It also comes with
log filter to inject this information on log events as also an extension to forward
the current request id into Celery's workers.


Example: Parse request id and send it to to logging
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

In the following example, we will use the ``RequestIDLogFilter`` to inject
the request id on all log events, and a custom formatter to print this
information. If all these sounds unfamiliar please take a look at `python logging system`_

.. code:: python

    import logging
    import logging.config
    from random import randint
    from flask import Flask
    from flask_log_request_id import RequestID, RequestIDLogFilter

    def generic_add(a, b):
        \"""Simple function to add two numbers that is not aware of the request id\"""
        logging.debug('Called generic_add({}, {})'.format(a, b))
        return a + b

    app = Flask(__name__)
    RequestID(app)

    # Setup logging
    handler = logging.StreamHandler()
    handler.setFormatter(logging.Formatter("%(asctime)s - %(name)s - level=%(levelname)s - request_id=%(request_id)s - %(message)s"))
    handler.addFilter(RequestIDLogFilter())  # << Add request id contextual filter
    logging.getLogger().addHandler(handler)


    @app.route('/')
    def index():
        a, b = randint(1, 15), randint(1, 15)
        logging.info('Adding two random numbers {} {}'.format(a, b))
        return str(generic_add(a, b))


Installation
------------
The easiest way to install it is using ``pip`` from PyPI

.. code:: bash

    pip install flask-log-request-id


License
-------

See the `LICENSE`_ file for license rights and limitations (MIT).


.. _Flask: http://flask.pocoo.org/
.. _Amazon ELB: http://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-request-tracing.html
.. _Heroku Request-ID: https://devcenter.heroku.com/articles/http-request-id
.. _python logging system: https://docs.python.org/3/library/logging.html
.. _LICENSE: https://github.com/Workable/flask-log-request-id/blob/master/LICENSE.md
.. |CircleCI| image:: https://img.shields.io/circleci/project/github/Workable/flask-log-request-id.svg
   :target: https://circleci.com/gh/Workable/flask-log-request-id

"""
import re
import ast
from setuptools import setup


_version_re = re.compile(r'__version__\s+=\s+(.*)')

with open('flask_log_request_id/__init__.py', 'rb') as f:
    version = str(ast.literal_eval(_version_re.search(
        f.read().decode('utf-8')).group(1)))


setup(
    name='Flask-Log-Request-ID',
    version=version,
    url='http://github.com/Workable/flask-log-request-id',
    license='MIT',
    author='Konstantinos Paliouras, Ioannis Foukarakis',
    author_email='squarious@gmail.com, ioannis.foukarakis@gmail.com',
    description='Flask extension that can parse and handle multiple types of request-id '
                'sent by request processors like Amazon ELB, Heroku or any multi-tier '
                'infrastructure as the one used for microservices.',
    long_description=__doc__,
    maintainer="Konstantinos Paliouras",
    maintainer_email="squarious@gmail.com",
    packages=[
        'flask_log_request_id',
        'flask_log_request_id.extras'],
    zip_safe=False,
    include_package_data=True,
    platforms='any',
    install_requires=[
        'Flask>=0.8',
    ],
    tests_require=[
        'nose',
        'mock==2.0.0',
        'coverage~=4.3.4',
        'celery~=4.1.0'
    ],
    setup_requires=[
        "flake8"
    ],
    test_suite='nose.collector',
    classifiers=[
        'Environment :: Web Environment', 'Intended Audience :: Developers',
        'License :: OSI Approved :: MIT License',
        'Operating System :: OS Independent', 'Programming Language :: Python',
        'Programming Language :: Python :: 3',
        'Topic :: Software Development :: Libraries :: Python Modules'
    ])
