Log processing coding exercise

Name: Jonathan Hickman

Date: 2021-10-10

Simple python application that takes a file path and parses it with a known comma delineated schema. Once it's parsed we take a look at the data in aggregate and format it accordingly.

Only Python requirement is a module called attrs which reduces boiler plate code without sacrificing performance.

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Setup

Code is written to target python >3.8.9

Virtual Environment

python3 -m venv .venv
source ./.venv/bin/activate

Install dependencies

pip install -r requirements.txt

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Running project

python Main.py <file_path>

e.g. python Main.py ~/dev/jhickman-python-log-parsing/fake_msgs.log

Code output should resemble the following:

n32: Average: 92.52 Max: 100.0 Min: 73.0
n29: Average: 87.23 Max: 100.0 Min: 46.0
n30: Average: 85.83 Max: 100.0 Min: 44.0
...

Execute tests:

python -m unittest MetricCollecting.tests.TestProcessor -v

Project Layout

./app - Contains core processing code

./tests - Contains unit tests

Primary entrypoint is from the root folder in Main.py which takes a filepath argument and calls process_log with output formatting.