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