datacoco-core 0.1.1

Installation

To install the latest version, use pip:

pip install datacoco-core

Logger

The logging module is a lightwight wrapper around the default logging module. Basic usage:

from datacoco_core import Logger
l = Logger()
l.l("Your important log message here')

By default the log message will be saved in a logs dir of the project root, in a file named by python module and date. For example:

cat logs/test.py-20190827-135736.log
2019-08-27 13:57:36,471 Your important message here

Optionally, parameters logname and project_name can be passed on class instantiation to customize the logfile name, and logfile path respectively.

config

The config module is a lightweight wrapper around the configparser module. It converts INI files to a dictionary object. By default, the Config class will look for a file named in etl.cfg in the project root.

Example INI config file:

[secret1]
answer_to_the_universe=42

This credential can be accessed by the following example code:

from datacoco_core.config import config
c = config()
c['secret1']['answer_to_the_universe']
42

Note: The config class assumes base64 hashing for any key named pwd or password. (See below)

>>> import base64
>>> print base64.b64encode("password")
cGFzc3dvcmQ=

>>> import base64
>>> print(base64.b64encode(b'password'))
b'cGFzc3dvcmQ=

Development

python3 -m venv <virtual env name>
source venv/bin/activate
pip install --upgrade pip
pip install datacoco-core