1. Purpose

The objective of this issue is to implement a way to visualize GitHub event data retrieved by Kaiaulu using a process discovery algorithm. To achieve this goal, event data will be from Kaiaulu and process mining techniques will be applied to form a visual workflow. This will enhance the functionality of Kaiaulu, providing deeper insights into data and overall project dynamics.

2. Process

Research existing functionality built into the pm4py library. Extend exec/github.R to allow exporting GitHub API event data. Commits will be added to PR #301 instead of a new branch.

Next, prepare data extracted from Github to a correct format for process mining analysis. Implement a process discover algorithm and apply it to the data. Finally, generate a workflow visualization that maps event data from Github. Additionally create a vignette to showcase the functionality.

3. Task List

• Modify R/github.R to include new API functions related to event data extraction.
• Extend exec/github.R to provide a CLI (Command-Line Interface) for exporting API event data
• Preprocess data for process mining analysis
• Implement process discovery algorithm from pm4py
• Generate workflow visualizations with graph-based representations
• Document and demonstrate new functionality within vignettes/github_api_showcase.Rmd
• Document implementation for future reference

4. References

• Basics of Process Mining
• pm4py importing csv files
• PM4Py python Publication
• Video with Core Ideas of PM
• CLI Basics in R

Related Repo

sailuh/process_mining

Vision for the Feature