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Disk Reorganizer — Architectural Summary

Core Outcome

Migration from SQLite → PostgreSQL completed. System is now network-capable, auditable, scalable, and offers real-time operational telemetry.

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Architecture

Database Layer (PostgreSQL)

• Central DB: disk_reorganizer_db
• User: disk_reorg_user
• Tables: files, operations
• Features: indexes, triggers, conflict-upserts, audit fields
• Deployment: SQL + Windows/Linux setup scripts

Application Layer

• Python driver migrated to psycopg2
• Unified DB config + connection pooling
• Refactored CRUD + batch commits
• Robust error handling + transactional execution

Operational Layer

• Dynamic in-screen logging during indexing + migration

  • File/sec, GB processed, ETA, success/error counters
  • Clean single-line, non-spamming UI updates

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Workflow

1. Setup

     {
  "host": "192.168.1.159",
  "port": 5432,
  "database": "disk_reorganizer_db",
  "user": "disk_reorg_user",
  "password": "heel-goed-wachtwoord"
}

./setup_database.sh      # or setup_database.bat
pip install -r requirements.txt

2. Index

   python src/main.py index "D:\\" disk_d
   

3. Plan

   python src/main.py plan disk_d disk_e
   

4. Dry-Run

   python src/main.py execute plan.json --dry-run
   

5. Execute

   python src/main.py execute plan.json
   

6. Report

   python src/main.py report
   

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Guarantees

• No destructive actions by default
• Originals preserved
• Every action logged in DB
• Error-resilient, continues safely
• Suitable for millions of file records

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Failure Points to Check

• PostgreSQL reachable on 5432
• Correct credentials
• Disk permissions
• Python + psycopg2 installed

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Essence

A lean, safe, high-visibility disk migration tool running on a proper relational backbone, engineered for clarity, scale, and operational certainty.

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