60 lines
2.2 KiB
Markdown
60 lines
2.2 KiB
Markdown
# ROM Library Organization
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**Status**: In Progress
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**Started**: 2026-03-09
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**Location**: R:\ (38.8 TB)
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## Goal
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Phase 1: Inventory all ROMs across multiple gaming systems
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Phase 2: Detect duplicates via MD5 hashing
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Phase 3: Identify missing ROMs from No-Intro/Redump sets (future)
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## Library Structure
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```
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R:/
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├── Rom Sets (Organized)/
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│ ├── Nintendo/
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│ ├── Sony/
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│ ├── Sega/
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│ ├── Microsoft/
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│ ├── Atari/
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│ ├── Arcade/
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│ ├── Computers/
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│ └── Misc Consoles/
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└── Rom Sets (Somewhat Organized)/
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```
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## Quick Scan Results (2026-03-09)
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- **Total**: 98,601 items, 1,701 GB
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- **Top by count**: Commodore 64 (24,349), Atari (10,935), MAME (8,651)
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- **Top by size**: PSN ISO Pack (672 GB), Nintendo 3DS (412 GB), TurboGrafx-CD (234 GB)
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## By Manufacturer
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| Manufacturer | Items | Size |
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|--------------|-------|------|
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| Computers | 47,327 | 61.89 GB |
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| Arcade | 12,951 | 32.97 GB |
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| Atari | 12,399 | 2.56 GB |
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| Nintendo | 12,017 | 467.24 GB |
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| Sony | 3,106 | 672.40 GB |
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| Sega | 2,747 | 3.54 GB |
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| Microsoft | 1,661 | 0.05 GB |
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## Disc vs Cartridge Systems
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- **Disc systems** (count folders): PSX (1,516), PS3 (77), PS VITA (6), Saturn (3)
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- **Cartridge systems** (count files): NES (1,592), SNES, Genesis, GBA, etc.
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## Scripts
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- `tools/rom-quick-scan.py` - Quick count (completed)
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- `tools/rom-full-scan.py` - Duplicate detection (overnight scan)
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## Output Files
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- `rom-inventory/rom-inventory.json` - Quick scan
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- `rom-inventory/rom-full-*.json` - Full scan with duplicates
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## Notes
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- Hash only files under 50MB (speed vs coverage tradeoff)
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- Node gateway has 30s timeout - use background processes for long scans
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- No-Intro DAT files available at https://datomatic.no-intro.org/
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\n## Full Scan Results (2026-04-09)\n\n**Status:** Complete\n\n| Metric | Value |\n|--------|-------|\n| Total files | 773,442 |\n| Total size | 21.9 TB |\n| Files hashed | 756,454 |\n| Skipped (too large) | 16,987 |\n| **Duplicates found** | **44,844** |\n\n**Runtime:** 13 hours\n\n**Output:** `rom-inventory/rom-full-scan.json`\n\n**Next steps:**\n1. Analyze JSON to identify duplicate clusters\n2. Determine which systems have most duplicates\n3. Create cleanup plan (manual review vs auto-delete)\n
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