PatternFly analytics

This project pulls current PatternFly usage metrics across a number of products.

Usage

• Install dependencies:

  • npm install

• Run a new report:

  • npm run collect

• View the new report, created within:

  • /stats-static/{CURRENT-DATE}

• Create a .csv and .xslx report (see below for installation)

  • python to_xls.py

Overview

This project references a static list of projects, listed within repos.json. A new report is generated by running npm run collect, which triggers the functionality within /src/static-analysis/cli.js.

These repositories are cloned locally into a /tmp directory, and each are looped through functionality within getPackageStats.js, getPatternflyStats.js, and getSortedImports.js to output the following files:

• _all_dependencies.json
  • Groups all projects by shared dependency
• _all.json
  • Lists all imported PatternFly assets by import file path or import type
• _all_sorted.json
  • Groups together common imported assets regardless of file path from _all.json and sorts them by total imported quantity across repos.

Installation of the Python code

# 1) Install a venv (only needed once)
python3 -m venv .venv
# 2) Activate it
source .venv/bin/activate
# 3) Install packages
python3 -m pip install pandas XlsxWriter
# 4) Run the code
python3 to_xls.py
# 5) (Optional) Deactivate the venv again
deactivate

If step 3 fails, you need to install pip. on Linux e.g. via dnf install python3-pip. `