pystackt 0.0.1

Data preparation for object-centric process mining.

PyStack't (pystackt)

PyStack't (pystackt) is a Python package based on Stack't.

While Stack't is a proof-of-concept on how to embed the data transformations needed for object-centric process mining into an (existing) data stack, it's not very user-friendly for ad-hoc use. PyStack't aims to fill that gap by exposing some functionality in a Python package.

• In this first release, only the Github log extractor is included. The log will be written to a database (DuckDB) using the Stack't relational schema.
• In next releases, data exporters to OCED formats (f.e. OCEL 2.0) will be added.

Extracting object-centric event log from Github

📝 Example

from pystackt import *

get_github_log(
    GITHUB_ACCESS_TOKEN="insert_your_github_access_token_here",
    repo_owner="LienBosmans",
    repo_name="stack-t",
    max_issues=None,
    quack_db="./stack-t.duckdb"
)

🔑 Generating a GitHub Access Token

To generate a GitHub access token, go to GitHub Developer Settings, click "Generate new token (classic)", and proceed without selecting any scopes (leave all checkboxes unchecked). Copy the token and store it securely, as it won’t be shown again.