📅 2025-08-14 — Session: Developed Modular Framework for Content Mining and Transformation
🕒 01:55–02:15
🏷️ Labels: Modular Framework, Content Mining, Snippetflow, Code Organization, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop a modular framework for content mining and transformation, focusing on architecture, value propositions, and repository suggestions.
Key Activities:
- Framework Development: Outlined a modular framework for content mining and transformation, detailing its architecture and core value propositions.
- SnippetFlow Analysis: Proposed structure and purpose for SnippetFlow repositories, including ‘snippetflow-core’ and ‘snippetflow-pipeline’.
- Data File Pointers: Identified relevant development notebook files for ongoing projects.
- Code Organization: Structured approach to categorize code blocks into the
snippetflow/layout for accurate functional placement. - Module Distribution: Detailed organization and distribution of code snippets across Python modules in the
snippetflow/project.
Achievements:
- Completed the planning and structuring of the modular framework for content mining and transformation.
- Established a clear plan for SnippetFlow repository structure and code organization.
Pending Tasks:
- Further development and implementation of the proposed framework and repository structures.
- Integration of identified data file pointers into ongoing projects.