Developed and Diagnosed Database Management Scripts

📅 2025-08-17 — Session: Developed and Diagnosed Database Management Scripts

🕒 22:30–23:40
🏷️ Labels: Sqlite, Chroma, Python, Database Management, Error Diagnosis
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to develop scripts for managing SQLite and Chroma databases, diagnose potential errors, and design scalable storage solutions.

Developed Python scripts to connect to multiple SQLite databases, retrieve table schemas, and display them using Pandas and Jupyter tools.
Provided an overview of SQLite database schemas related to GitHub repository ingestion.
Created a script for interacting with Chroma SQLite databases to retrieve schema information and row counts.
Diagnosed an OperationalError in the Chroma database, offering a diagnostic script to check file existence and permissions.
Conducted a health check on the Chroma database to ensure proper synchronization of collections and metadata.
Outlined a scalable storage plan for managing embeddings in Chroma and indexing in SQLite.
Designed node IDs and cache keys for embedding and caching processes in Python packages.
Made corrections and enhancements to GitHub and JSONL ingestion processes.
Developed a unified node construction module for text parsing from various sources.
Addressed metadata issues in Chroma collections with proposed solutions.

Successfully developed and executed scripts for database schema extraction and display.
Diagnosed and provided solutions for database errors and metadata issues.
Established a scalable storage framework for database management.