logger.py

# DEBUG: Detailed information, typically of interest only when diagnosing problems.

# INFO: Confirmation that things are working as expected.

# WARNING: An indication that something unexpected happened, or indicative of some problem in the near future (e.g. ‘disk space low’). The software is still working as expected.

# ERROR: Due to a more serious problem, the software has not been able to perform some function.

# CRITICAL: A serious error, indicating that the program itself may be unable to continue running.

# https://www.pythonsetup.com/how-implement-logging-django/
# https://gist.github.com/huklee/cea20761dd05da7c39120084f52fcc7c

# The logging module already implements a singleton pattern for you - when you call logger.getLogger(name),
# it will create the logger if it hasn't done so already and return it.

# https://medium.com/@trstringer/logging-flask-and-gunicorn-the-manageable-way-2e6f0b8beb2f
import logging

logger = logging.getLogger(__name__)

logger.setLevel(logging.INFO)

formatter = logging.Formatter('%(levelname)s:%(name)s:%(message)s')

file_handler = logging.FileHandler('employee.log')
file_handler.setFormatter(formatter)

logger.addHandler(file_handler)


class Employee:
    """A sample Employee class"""

    def __init__(self, first, last):
        self.first = first
        self.last = last

        logger.info('Created Employee: {} - {}'.format(self.fullname, self.email))

    @property
    def email(self):
        return '{}.{}@email.com'.format(self.first, self.last)

    @property
    def fullname(self):
        return '{} {}'.format(self.first, self.last)


emp_1 = Employee('John', 'Smith')
emp_2 = Employee('Corey', 'Schafer')
emp_3 = Employee('Jane', 'Doe')