In this series, I will explain what I did to set-up my first PyPi project. It’s a bit of a double whammy, it should help people sorting that out, and check with other developer what I did oddly.

This is also my first python project of my own. I have learned lots but I understand there is plenty of room for error and improvements (hopefully more of the later)

I will start by explaining the project itself, and the reason for it. You should not need to know it, but it should allow to understand the reasons behind it.

The project is logger-to-kibana and encapsulates the main idea of trying to automate everything.

It will be too long for a single post so I decided to make it a series.

It also allows me time to continue improving the process and adding extra functionalities to logger-to-kibana project.

I hope this helps and encourage people to set-up Open Source projects that solves those annoying repetitive tasks.

As always, I welcome constructive feedback. This is also my first dev post and most of the tools used are new to me. That is one of the reasons to play with them ;) 

Let me know what you think about it. Lets get started with the project itself.

Automating Kibana Visualisations Generation

IsmaelMartinez ・ Nov 28 '19

#opensource #logs #automation #kibana

You can also pop along and help contribute into the project. ;)

pip install -r requirements.txt

python main.py

  Usage: main.py [OPTIONS] COMMAND [ARGS]...

  Process the file provided according to conditions

Options:
  --help  Show this message and exit.

Commands:
  pommands:
  process                    Process the folder
  process_and_generate       Process the folder and generate visualization
  process_generate_and_send  Process the folder, generate visualization and
                             send