ObsiViewer/docs/PERFORMENCE/references/PERFORMANCE_QUICK_REFERENCE.txt

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OBSIWATCHER - PERFORMANCE OPTIMIZATION QUICK REFERENCE
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PROBLEM SUMMARY
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- Startup time: 15-30 seconds (with 1000+ files)
- Cause: Loading ALL files with FULL content at startup
- Impact: Poor user experience, high bounce rate
ROOT CAUSES
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1. /api/vault endpoint loads all notes with content (5-10MB payload)
2. Front-matter enrichment on every file during startup (expensive)
3. No lazy loading strategy
4. Large JSON payload blocks UI rendering
SOLUTION: METADATA-FIRST LOADING (PHASE 1)
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✅ Create new endpoint: /api/vault/metadata (fast, metadata only)
✅ Load full content on-demand when note is selected
✅ Skip front-matter enrichment at startup
✅ Lazy load content when needed
EXPECTED RESULTS
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Before:
- Startup time: 15-30 seconds
- Network payload: 5-10 MB
- Memory usage: 200-300 MB
- Time to interactive: 20-35 seconds
After Phase 1:
- Startup time: 2-4 seconds (75% improvement)
- Network payload: 0.5-1 MB (90% reduction)
- Memory usage: 50-100 MB (75% reduction)
- Time to interactive: 3-5 seconds (80% improvement)
IMPLEMENTATION EFFORT
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Phase 1: 4-6 hours (one developer)
Phase 2: 2-3 days (pagination)
Phase 3: 1-2 days (server caching)
Phase 4: 1 day (client optimization)
RISK LEVEL
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Phase 1: VERY LOW (backward compatible, easy rollback)
Phase 2: LOW
Phase 3: VERY LOW
Phase 4: VERY LOW
KEY FILES TO MODIFY
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Server-side:
- server/index.mjs
* Add loadVaultMetadataOnly() function
* Add /api/vault/metadata endpoint
* Remove enrichment from loadVaultNotes()
Client-side:
- src/app/services/vault.service.ts (create or update)
* Add initializeVault() method
* Add ensureNoteContent() method
- src/app.component.ts
* Call initializeVault() in ngOnInit()
* Update selectNote() to load content on-demand
QUICK IMPLEMENTATION STEPS
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1. Add loadVaultMetadataOnly() to server/index.mjs (after line 175)
2. Add /api/vault/metadata endpoint to server/index.mjs (after line 478)
3. Remove enrichment from loadVaultNotes() (around line 138-141)
4. Create/update VaultService with lazy loading
5. Update AppComponent to use new approach
6. Test with 1000+ file vault
7. Deploy and monitor
TESTING CHECKLIST
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[ ] /api/vault/metadata returns data in < 1 second
[ ] Metadata payload is < 1 MB for 1000 files
[ ] App UI is interactive within 2-3 seconds
[ ] Clicking on a note loads content smoothly (< 500ms)
[ ] No console errors or warnings
[ ] All existing features still work
[ ] Performance improved by 50%+ compared to before
PERFORMANCE METRICS TO MONITOR
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Server:
- /api/vault/metadata response time (target: < 1s)
- /api/files response time (target: < 500ms)
- Server memory usage (target: < 100MB)
Client:
- App startup time (target: < 5s)
- Time to interactive (target: < 5s)
- Network payload size (target: < 1MB)
- Memory usage (target: < 100MB)
DOCUMENTATION REFERENCES
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1. RESUME_OPTIMISATION_PERFORMANCE.md
- Executive summary (5 min read)
- For: Managers, decision makers
2. PERFORMANCE_OPTIMIZATION_STRATEGY.md
- Detailed analysis & 4-phase strategy (20 min read)
- For: Architects, senior developers
3. IMPLEMENTATION_PHASE1.md
- Step-by-step implementation guide (15 min read)
- For: Developers implementing Phase 1
4. CODE_EXAMPLES_PHASE1.md
- Ready-to-use code snippets (10 min read)
- For: Developers writing code
5. README_PERFORMANCE.md
- Navigation guide for all documents
- For: Everyone
QUICK WINS (Can do immediately)
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1. Remove enrichment from startup (5 minutes)
- Comment out enrichFrontmatterOnOpen() in loadVaultNotes()
2. Add metadata-only endpoint (30 minutes)
- Create /api/vault/metadata using Meilisearch
3. Implement server-side caching (1 hour)
- Cache metadata for 5 minutes
- Invalidate on file changes
4. Defer Meilisearch indexing (30 minutes)
- Use setImmediate() instead of blocking startup
ROLLBACK PLAN
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If issues occur:
1. Revert server changes: git checkout server/index.mjs
2. Revert client changes: git checkout src/app.component.ts
3. Restart server: npm run dev
4. No data loss or breaking changes
BACKWARD COMPATIBILITY
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✅ Old /api/vault endpoint still works
✅ No breaking changes to API
✅ Existing clients continue to work
✅ Can be deployed incrementally
NEXT STEPS
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1. Read RESUME_OPTIMISATION_PERFORMANCE.md (5 minutes)
2. Get stakeholder approval
3. Follow IMPLEMENTATION_PHASE1.md step-by-step
4. Reference CODE_EXAMPLES_PHASE1.md while coding
5. Test and deploy
6. Monitor performance improvements
CONTACT & SUPPORT
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For implementation questions: See IMPLEMENTATION_PHASE1.md
For code questions: See CODE_EXAMPLES_PHASE1.md
For architecture questions: See PERFORMANCE_OPTIMIZATION_STRATEGY.md
For management questions: See RESUME_OPTIMISATION_PERFORMANCE.md
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Status: Ready for Implementation
Priority: 🔴 HIGH
Estimated ROI: 75% performance improvement in 4-6 hours
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