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First-attempt commit02728909fonly captured the .gitignore change; the pre-commit hook silently dropped the 343 staged moves/deletes during lint-staged's "no matching task" path. This commit re-applies the intended J1 content on top of24af2f72b(which was pushed in parallel). Uses --no-verify because: - J1 only touches .md/.json/.log/.png/binaries — zero code that would benefit from lint-staged, typecheck, or vitest - The hook demonstrated it corrupts pure-rename commits in this repo - Explicitly authorized by user for this one commit Changes (343 total: 169 deletions + 174 renames): Binaries purged (~167 MB): - veza-backend-api/{server,modern-server,encrypt_oauth_tokens,seed,seed-v2} Generated reports purged: - 9 apps/web/lint_report*.json (~32 MB) - 8 apps/web/tsc_*.{log,txt} + ts_*.log (TS error snapshots) - 3 apps/web/storybook_*.json (1375+ stored errors) - apps/web/{build_errors*,build_output,final_errors}.txt - 70 veza-backend-api/coverage*.out + coverage_groups/ (~4 MB) - 3 veza-backend-api/internal/handlers/*.bak Root cleanup: - 54 audit-*.png (visual regression baselines, ~11 MB) - 9 stale MVP-era scripts (Jan 27, hardcoded v0.101): start_{iteration,mvp,recovery}.sh, test_{mvp_endpoints,protected_endpoints,user_journey}.sh, validate_v0101.sh, verify_logs_setup.sh, gen_hash.py Session docs archived (not deleted — preserved under docs/archive/): - 78 apps/web/*.md → docs/archive/frontend-sessions-2026/ - 43 veza-backend-api/*.md → docs/archive/backend-sessions-2026/ - 53 docs/{RETROSPECTIVE_V,SMOKE_TEST_V,PLAN_V0_,V0_*_RELEASE_SCOPE, AUDIT_,PLAN_ACTION_AUDIT,REMEDIATION_PROGRESS}*.md → docs/archive/v0-history/ README.md and CONTRIBUTING.md preserved in apps/web/ and veza-backend-api/. Note: The .gitignore rules preventing recurrence were already pushed in02728909fand remain in place — this commit does not modify .gitignore. Refs: AUDIT_REPORT.md §11
70 lines
2.4 KiB
Markdown
70 lines
2.4 KiB
Markdown
# Optimisations du Bundle Size - Résumé
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## ✅ Optimisations Appliquées
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### 1. Code Splitting Manuel (vite.config.ts)
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- ✅ Configuration de `manualChunks` pour séparer les vendors :
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- `vendor-react`: React et React DOM
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- `vendor-router`: React Router
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- `vendor-tanstack`: TanStack Query et Virtual
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- `vendor-icons`: Lucide React (238 fichiers utilisent cette librairie)
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- `vendor-dates`: date-fns
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- `vendor-validation`: zod
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- `vendor-media`: hls.js
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- `vendor`: Autres dépendances node_modules
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- ✅ Chunks pour les features lourdes :
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- `feature-player`: Composants de lecteur audio
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- `feature-upload`: Composants d'upload
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- `feature-chat`: Composants de chat
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- `feature-studio`: Composants de studio
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### 2. Lazy Loading des Composants Lourds
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- ✅ **EmojiPicker** (~200KB) : Lazy load dans `ChatInput` et `ChatMessage`
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- Économie : ~200KB sur le bundle initial
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- Chargé uniquement quand l'utilisateur ouvre le picker d'emoji
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- ✅ **react-easy-crop** (~100KB) : Lazy load dans `ImageCropper`
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- Économie : ~100KB sur le bundle initial
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- Chargé uniquement quand l'utilisateur ouvre le recadreur d'image
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### 3. Optimisations des Imports
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- ✅ Imports `lucide-react` déjà optimisés (imports nommés pour tree-shaking)
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- ✅ Imports `date-fns` déjà optimisés (imports nommés)
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- ✅ Code splitting des pages déjà en place (LazyComponent)
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## 📊 Résultats Attendus
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### Avant Optimisations
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- Bundle initial : ~800-1000KB (estimé)
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- Composants lourds inclus dans le bundle initial
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### Après Optimisations
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- Bundle initial : Réduit de ~300KB (EmojiPicker + react-easy-crop)
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- Chunks vendors séparés pour meilleur caching
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- Chunks features pour chargement à la demande
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## 🔍 Analyse du Bundle
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Pour analyser le bundle après build :
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```bash
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npm run build
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# Ouvrir dist/bundle-analysis.html dans le navigateur
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```
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Le fichier `bundle-analysis.html` est généré automatiquement en production grâce à `rollup-plugin-visualizer`.
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## 📈 Prochaines Optimisations Possibles
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1. **Lazy load VirtualizedList** : Si utilisé rarement
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2. **Optimiser les assets** : Compresser les images et fonts
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3. **Vérifier les dépendances** : S'assurer que toutes sont nécessaires
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4. **Preload stratégique** : Preload des chunks critiques
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## 🎯 Objectif Atteint
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- ✅ Code splitting amélioré
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- ✅ Lazy loading des composants lourds
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- ✅ Séparation des vendors pour meilleur caching
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- ✅ Configuration prête pour analyse avec visualizer
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