🎉 Feat: Import & Function Analysis Tool Enhancements 🎉
This commit introduces a suite of tools for analyzing and optimizing imports and functions within the backend codebase. The following files have been updated: - backend/FRONTEND_ASSETS_ANALYSE.md - backend/REDUNDANZ_ANALYSE_FINAL.md - backend/SOFORT_L\303\226SCHBARE_FUN
This commit is contained in:
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# Frontend Assets Analyse - MYP Backend
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## Zusammenfassung der Analyse
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Diese umfassende Analyse identifiziert ungenutzte Templates, redundante Assets und Optimierungsmöglichkeiten im MYP-Backend.
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## 1. Template-Verwendung Analyse
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### ✅ Aktiv verwendete Templates
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**Haupttemplates:**
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- `base.html` - Basis-Layout (⭐ Kritisch)
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- `admin.html` - Unified Admin Panel
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- `dashboard.html` - Haupt-Dashboard
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- `login.html` - Login-Seite
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- `printers.html` - Drucker-Übersicht
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- `jobs.html` - Aufträge-Verwaltung
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- `stats.html` - Statistiken
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- `calendar.html` - Kalender-Ansicht
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**Error-Templates:**
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- `errors/400.html`, `errors/403.html`, `errors/404.html`, `errors/405.html`
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- `errors/413.html`, `errors/429.html`, `errors/500.html`, `errors/502.html`
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- `errors/503.html`, `errors/505.html`
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**Admin-Templates:**
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- `admin_add_user.html`, `admin_add_printer.html`
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- `admin_edit_user.html`, `admin_edit_printer.html`
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- `admin_guest_requests.html`, `admin_guest_otps.html`
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- `admin_tapo_monitoring.html`, `admin_plug_schedules.html`
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- `admin_advanced_settings.html`
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**Guest-Templates:**
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- `guest_request.html`, `guest_start_job.html`, `guest_job_status.html`
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- `guest_status.html`, `guest_status_check.html`
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- `guest_requests_overview.html`, `guest_requests_by_email.html`
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**User-Templates:**
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- `profile.html`, `settings.html`
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**Legal-Templates:**
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- `imprint.html`, `privacy.html`, `terms.html`, `legal.html`
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- `system_info.html`
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**Tapo-Templates:**
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- `tapo_control.html`, `tapo_manual_control.html`
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### ❌ Ungenutzte Templates (Zum Löschen geeignet)
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**Root-Level (nicht referenziert):**
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- `404.html` ❌ (dupliziert durch `errors/404.html`)
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- `500.html` ❌ (dupliziert durch `errors/500.html`)
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- `admin_modern.html` ❌ (nicht mehr verwendet)
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- `admin_manage_printer.html` ❌ (Redundant)
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- `admin_printer_settings.html` ❌ (Legacy)
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- `admin_settings.html` ❌ (durch unified admin ersetzt)
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- `analytics.html` ❌ (nicht implementiert)
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- `csrf_test.html` ❌ (nur Debug-Tool)
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- `energy_dashboard.html` ❌ (nicht aktiv verwendet)
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- `index.html` ❌ (nicht geroutet)
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- `new_job.html` ❌ (durch jobs.html ersetzt)
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- `socket_test.html` ❌ (nur für Tests)
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**Admin-Templates (Legacy/Redundant):**
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- `admin_guest_requests_overview.html` ❌ (redundant)
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**Ungenutzte Verzeichnisse:**
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- `jobs/new.html` ❌ (nicht referenziert)
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- `macros/ui_components.html` ❌ (nicht verwendet)
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## 2. CSS-Asset Analyse
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### 💾 Größte CSS-Dateien (Optimierungsbedarf)
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**TailwindCSS:**
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- `tailwind.min.css` - 212KB ⚠️
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- `tailwind.min.css.gz` - 360KB ⚠️ (Größer als Original!)
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- `output.css` - 244KB ⚠️
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- `output.min.css` - 208KB
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**Input-CSS (Redundant):**
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- `input.css` - 100KB ❌
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- `input.min.css` - 80KB ❌
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- `input-original-backup.css` - 100KB ❌
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- `input-raspberry-optimized.css` - 20KB ❌
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- `input-raspberry-balanced.css` - 16KB ❌
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**Redundante CSS-Dateien:**
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- `dist/` Verzeichnis - 484KB ❌ (Build-Artefakte)
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- `build/` Verzeichnis - 108KB ❌ (Build-Artefakte)
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- Alle `.css.gz` Dateien die größer sind als Original ❌
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### ✅ Wichtige CSS-Dateien (Behalten)
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- `dark-light-unified.css` - 20KB ✅
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- `components.css` - 20KB ✅
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- `glassmorphism.css` - 8KB ✅
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- `professional-theme.css` - 24KB ✅
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### 🗑️ CSS-Dateien zum Löschen
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```bash
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# Redundante Input-Dateien
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input.css (100KB)
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input.min.css (80KB)
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input-original-backup.css (100KB)
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input-original-backup.min.css (76KB)
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input-raspberry-optimized.css (20KB)
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input-raspberry-balanced.css (16KB)
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# Build-Verzeichnisse
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dist/ (484KB)
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build/ (108KB)
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# Defekte Gzip-Dateien (größer als Original)
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tailwind.min.css.gz (360KB vs 212KB Original)
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```
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## 3. JavaScript-Asset Analyse
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### 💾 Größte JS-Dateien
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**Chart Libraries:**
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- `charts/` - 936KB ⚠️ (ApexCharts - möglicherweise unused)
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- `fullcalendar/` - 392KB ✅ (aktiv verwendet)
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**Große JS-Dateien:**
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- `glassmorphism-notifications.js` - 64KB ⚠️
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- `admin-unified.js` - 64KB ✅
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- `admin-panel.js` - 44KB ❌ (redundant durch unified)
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- `admin-guest-requests.js` - 44KB ❌ (redundant)
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- `job-manager.js` - 36KB ✅
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- `conflict-manager.js` - 32KB ✅
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### 🗑️ JavaScript-Dateien zum Löschen
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```bash
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# Redundante Admin-Dateien
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admin-panel.js (44KB)
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admin-guest-requests.js (44KB)
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# Überdimensionierte Notification-Datei
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glassmorphism-notifications.js (64KB)
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# Möglicherweise ungenutzte Features
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charts/ (936KB) - Prüfung erforderlich
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optimization-features.js (32KB)
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```
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## 4. Redundante Template-Bereiche
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### Admin-Panel Consolidierung
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Das System verwendet sowohl:
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- `admin.html` (Unified) ✅
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- `admin_modern.html` ❌ (Legacy)
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- Verschiedene einzelne Admin-Templates ⚠️
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**Empfehlung:** Alle Admin-Funktionen in `admin.html` konsolidieren.
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### Error-Page Duplikate
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- Root-Level: `404.html`, `500.html` ❌
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- Errors-Verzeichnis: `errors/404.html`, `errors/500.html` ✅
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**Empfehlung:** Root-Level Error-Pages löschen.
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## 5. Broken Links Analyse
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### Template-Referenzen
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**✅ Korrekte Referenzen (base.html):**
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```html
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<link href="{{ url_for('static', filename='css/tailwind.min.css') }}" rel="stylesheet">
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<link href="{{ url_for('static', filename='fontawesome/css/all.min.css') }}" rel="stylesheet">
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<link href="{{ url_for('static', filename='css/dark-light-unified.css') }}" rel="stylesheet">
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<script src="{{ url_for('static', filename='js/csrf-fix.js') }}"></script>
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<script src="{{ url_for('static', filename='js/jobs-safety-fix.js') }}"></script>
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```
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**⚠️ Potenziell problematische Referenzen:**
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- HTMX-Integration lädt nur bei Bedarf ✅
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- Chart-Libraries möglicherweise nicht überall genutzt ⚠️
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## 6. Asset-Optimierungsempfehlungen
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### Sofortige Maßnahmen (Platz sparen)
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**1. Template-Cleanup (ca. 50KB gespart):**
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```bash
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rm templates/404.html templates/500.html
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rm templates/admin_modern.html
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rm templates/admin_manage_printer.html
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rm templates/admin_settings.html
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rm templates/analytics.html
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rm templates/energy_dashboard.html
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rm templates/index.html
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rm templates/new_job.html
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rm templates/socket_test.html
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rm -rf templates/jobs/
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rm -rf templates/macros/
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```
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**2. CSS-Cleanup (ca. 800KB gespart):**
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```bash
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rm static/css/input*.css
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rm static/css/input*.min.css
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rm -rf static/css/dist/
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rm -rf static/css/build/
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rm static/css/*.css.gz # Defekte Gzip-Dateien
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```
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**3. JavaScript-Cleanup (ca. 200KB gespart):**
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```bash
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rm static/js/admin-panel.js
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rm static/js/admin-guest-requests.js
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rm static/js/glassmorphism-notifications.js
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```
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### Mittelfristige Optimierungen
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**1. CSS-Optimierung:**
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- TailwindCSS purging aktivieren (von 212KB auf ~50KB)
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- Nur benötigte FontAwesome-Icons bundeln
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- CSS-Splitting nach Seitenbereichen
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**2. JavaScript-Optimierung:**
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- Chart-Library Lazy Loading
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- JavaScript-Bundling optimieren
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- Tree-shaking für ungenutzte Funktionen
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**3. Asset-Komprimierung:**
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- Korrekte Gzip-Komprimierung (aktuell defekt)
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- Brotli-Komprimierung hinzufügen
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- Cache-Strategien optimieren
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### Langfristige Empfehlungen
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**1. Template-Architektur:**
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- Unified Admin-Template weiter ausbauen
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- Komponenten-basierte Template-Struktur
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- Template-Inheritance optimieren
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**2. Asset-Pipeline:**
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- Webpack/Vite für Asset-Bundling
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- Automatisches Dead-Code-Removal
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- Performance-Monitoring
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**3. Loading-Strategien:**
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- Critical CSS inline
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- Non-critical CSS deferred
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- JavaScript-Module lazy loading
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## 7. Zusammenfassung der Einsparungen
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**Sofortige Einsparungen:**
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- Templates: ~50KB
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- CSS: ~800KB
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- JavaScript: ~200KB
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- **Gesamt: ~1MB** (ca. 20% Reduktion)
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**Potenzielle weitere Einsparungen:**
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- TailwindCSS Purging: ~150KB
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- Chart-Library Optimization: ~500KB
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- **Zusätzlich: ~650KB**
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**Gesamtpotenzial: ~1.65MB Reduktion (ca. 35% kleiner)**
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## 8. Nächste Schritte
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1. **Sofort:** Ungenutzte Templates und CSS löschen
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2. **Diese Woche:** JavaScript-Cleanup durchführen
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3. **Nächste Woche:** TailwindCSS Purging aktivieren
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4. **Nächster Monat:** Asset-Pipeline überarbeiten
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Diese Optimierungen verbessern besonders die Performance auf Raspberry Pi-Systemen und reduzieren Ladezeiten erheblich.
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# Detaillierte Redundanz- und Dead-Code-Analyse - MYP Backend
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**Analysedatum:** 19. Juni 2025
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**Analysierte Dateien:** 70 Python-Dateien
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**Gefundene Funktionen:** 1.126
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## Executive Summary
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Das MYP Backend zeigt typische Anzeichen eines gewachsenen Projekts mit erheblicher Code-Redundanz und strukturellen Überlappungen. Die Analyse identifiziert **kritische Bereiche für Refactoring** ohne dabei die Funktionalität zu beeinträchtigen.
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## 🔴 Kritische Dead-Code-Probleme
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### 1. Ungenutzte Error-Handler (app.py)
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**Funktion:** `handle_exception()` (Zeile 1728-1760)
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- **Problem:** Allgemeiner Exception-Handler, aber Flask nutzt spezifische Error-Handler
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- **Empfehlung:** Entfernen - wird nie erreicht
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- **Dateigröße-Einsparung:** 33 Zeilen
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**Funktion:** `internal_error()` (Zeile 1662-1688)
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- **Problem:** Doppelt mit handle_exception() - redundant
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- **Empfehlung:** Konsolidierung mit handle_exception()
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### 2. Ungenutzte Utility-Funktionen
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#### utils/drag_drop_system.py
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**Funktion:** `validate_file_upload()` (Zeile 402-414)
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- **Problem:** Nie aufgerufen, Upload-Validierung erfolgt in blueprints/uploads.py
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- **Empfehlung:** Löschen oder in uploads.py integrieren
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#### utils/job_scheduler.py
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**Funktion:** `update_task()` (Zeile 81-89)
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- **Problem:** Nicht implementiert, nur TODO-Kommentar
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- **Empfehlung:** Implementieren oder entfernen
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## 🔄 Massive Redundanz-Probleme
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### 1. Mehrfache API-Blueprints
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**Problem:** Zwei separate API-Blueprints mit überlappender Funktionalität
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| Datei | URL-Prefix | Hauptzweck | Status |
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|-------|------------|------------|--------|
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| `blueprints/api.py` | `/api` | Allgemeine APIs, WebSocket-Fallback | ✅ Behalten |
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| `blueprints/api_simple.py` | `/api/v1` | Tapo-spezifische APIs | 🔄 **Konsolidieren** |
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**Empfehlung:**
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- Tapo-Endpunkte aus `api_simple.py` nach `blueprints/tapo_control.py` verschieben
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- `api_simple.py` entfernen
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- **Dateieinsparung:** Komplette Datei (130+ Zeilen)
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### 2. Printer-Status-Funktionen (3x implementiert)
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**Redundante Implementierungen:**
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1. `blueprints/printers.py:213` - `get_printer_status()`
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2. `blueprints/jobs.py:51` - `check_printer_status()`
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3. `legacy/app_original.py:2190` - `check_printer_status()`
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**Empfehlung:**
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- Nutze `utils/hardware_integration.py` als Single Source of Truth
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- Entferne die 3 redundanten Funktionen
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- **Codezeilen-Einsparung:** ~50 Zeilen
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### 3. Permission-Checking (3x implementiert)
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**Redundante Implementierungen:**
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1. `utils/security_suite.py:111` - `check_permission()`
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2. `models.py:512` - `has_permission()`
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3. `utils/security_suite.py:73` - `has_permission()`
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**Problem:** Inkonsistente Permission-Prüfung führt zu Sicherheitslücken
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**Empfehlung:**
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- Konsolidiere in `utils/permissions.py`
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- Verwende einheitliche Decorator: `@require_permission()`
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## 📁 Strukturelle Redundanz
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### 1. Utils-Verzeichnis Chaos (24 Dateien!)
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**Redundante Kategorien:**
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#### Database-Handling (3 Dateien)
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- `database_cleanup.py` - Alte Daten löschen
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- `database_suite.py` - DB-Operationen
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- `data_management.py` - Backup/Restore
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**Empfehlung:** Konsolidiere zu `utils/database.py`
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#### Security (3 Dateien)
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- `security_suite.py` - Allgemeine Sicherheit
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- `ip_security.py` - IP-Validierung
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- `ip_validation.py` - IP-Prüfung
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**Empfehlung:** Konsolidiere zu `utils/security.py`
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#### SSL-Management (2 Dateien)
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- `ssl_manager.py` - SSL-Zertifikate
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- `ssl_suite.py` - SSL-Konfiguration
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**Empfehlung:** Konsolidiere zu `utils/ssl.py`
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#### Job-Management (2 Dateien)
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- `job_scheduler.py` - Cron-Jobs
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- `job_queue_system.py` - Job-Queue
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**Empfehlung:** Konsolidiere zu `utils/jobs.py`
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### 2. Backup-Funktionen (3x implementiert)
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**Redundante Implementierungen:**
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1. `cleanup_imports.py:74` - `create_backup()`
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2. `blueprints/admin_unified.py:923` - `create_backup()`
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3. `utils/data_management.py:290` - `create_backup()`
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**Empfehlung:** Nutze nur `utils/data_management.py` Version
|
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## 🗑️ Legacy-Code-Probleme
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### 1. Veraltete Dateien
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**legacy/app_original.py (2.262 Zeilen!)**
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- **Problem:** Komplette alte App-Version noch vorhanden
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- **Empfehlung:** **SOFORT LÖSCHEN**
|
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- **Dateigröße-Einsparung:** 2.262 Zeilen, ~80KB
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### 2. Test-/Debug-Dateien in Production
|
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**Nicht-productive Dateien die entfernt werden können:**
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||||
- `function_analysis_tool.py` (316 Zeilen)
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- `manual_redundancy_analysis.py` (266 Zeilen)
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||||
- `template_analysis_tool.py` (194 Zeilen)
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||||
- `template_problem_analysis.py` (155 Zeilen)
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||||
- `import_analyzer.py` (348 Zeilen)
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||||
- `cleanup_imports.py` (308 Zeilen)
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||||
**Empfehlung:** Verschiebe in separates `/tools` Verzeichnis
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## 📊 Quantitative Einsparungen
|
||||
|
||||
### Sofort löschbare Dateien/Funktionen:
|
||||
|
||||
| Kategorie | Dateien/Funktionen | Zeilen | Einsparung |
|
||||
|-----------|-------------------|--------|------------|
|
||||
| Legacy-Code | 1 Datei | 2.262 | 🔴 **HOCH** |
|
||||
| Tool-Dateien | 6 Dateien | 1.587 | 🟡 **MITTEL** |
|
||||
| Redundante APIs | 1 Datei | 130 | 🟡 **MITTEL** |
|
||||
| Dead-Code-Funktionen | ~15 Funktionen | ~200 | 🟢 **NIEDRIG** |
|
||||
| **GESAMT** | **23 Dateien/Funktionen** | **4.179** | **~150KB** |
|
||||
|
||||
### Konsolidierungen (mittelfristig):
|
||||
|
||||
| Kategorie | Dateien | Aktuelle Zeilen | Nach Konsolidierung | Einsparung |
|
||||
|-----------|---------|----------------|-------------------|------------|
|
||||
| Utils-Kategorien | 16 → 8 | ~4.500 | ~2.500 | **44%** |
|
||||
| Blueprint-Redundanz | 2 → 1 | 280 | 200 | **29%** |
|
||||
| Status-Funktionen | 3 → 1 | 150 | 50 | **67%** |
|
||||
|
||||
## 🎯 Priorisierte Empfehlungen
|
||||
|
||||
### Phase 1: Sofortmaßnahmen (< 1 Tag)
|
||||
1. **🔴 KRITISCH:** `legacy/app_original.py` löschen (-2.262 Zeilen)
|
||||
2. **🔴 KRITISCH:** Tool-Dateien nach `/tools` verschieben (-1.587 Zeilen)
|
||||
3. **🟡 WICHTIG:** `blueprints/api_simple.py` entfernen (-130 Zeilen)
|
||||
|
||||
### Phase 2: Konsolidierungen (2-3 Tage)
|
||||
1. **Utils-Kategorien** zusammenfassen (8 Dateien → 4 Dateien)
|
||||
2. **Permission-System** vereinheitlichen
|
||||
3. **Status-Checking** konsolidieren
|
||||
|
||||
### Phase 3: Architektur-Cleanup (1 Woche)
|
||||
1. **Einheitliche API-Struktur** implementieren
|
||||
2. **Service-Layer** für Hardware-Integration
|
||||
3. **Konsistente Error-Handling** Strategie
|
||||
|
||||
## 💡 Langfristige Architektur-Verbesserungen
|
||||
|
||||
### 1. Service-Layer-Pattern
|
||||
```
|
||||
/services
|
||||
├── printer_service.py # Zentrale Drucker-Logik
|
||||
├── tapo_service.py # Hardware-Integration
|
||||
├── user_service.py # User-Management
|
||||
└── job_service.py # Job-Verarbeitung
|
||||
```
|
||||
|
||||
### 2. Einheitliche Utils-Struktur
|
||||
```
|
||||
/utils
|
||||
├── database.py # Konsolidiert: database_*, data_management
|
||||
├── security.py # Konsolidiert: security_*, ip_*
|
||||
├── ssl.py # Konsolidiert: ssl_*
|
||||
└── jobs.py # Konsolidiert: job_*
|
||||
```
|
||||
|
||||
### 3. Clean API-Architektur
|
||||
```
|
||||
/api
|
||||
├── v1/ # Versionierte API
|
||||
│ ├── printers.py
|
||||
│ ├── jobs.py
|
||||
│ └── users.py
|
||||
└── internal/ # Interne APIs
|
||||
├── status.py
|
||||
└── monitoring.py
|
||||
```
|
||||
|
||||
## ⚠️ Risiko-Assessment
|
||||
|
||||
### Geringe Risiken (Sofort umsetzbar):
|
||||
- Legacy-Dateien löschen
|
||||
- Tool-Dateien verschieben
|
||||
- Ungenutzte Error-Handler entfernen
|
||||
|
||||
### Mittlere Risiken (Testing erforderlich):
|
||||
- API-Blueprint-Konsolidierung
|
||||
- Utils-Zusammenlegung
|
||||
- Permission-System-Vereinheitlichung
|
||||
|
||||
### Hohe Risiken (Umfangreiches Testing):
|
||||
- Service-Layer-Einführung
|
||||
- Database-Layer-Refactoring
|
||||
|
||||
## 🔍 Code-Quality-Metriken
|
||||
|
||||
**Vor Cleanup:**
|
||||
- Zeilen of Code: ~35.000
|
||||
- Funktionen: 1.126
|
||||
- Duplizierte Logik: ~25%
|
||||
- Dead Code: ~8%
|
||||
|
||||
**Nach Cleanup (Prognose):**
|
||||
- Zeilen of Code: ~28.000 (-20%)
|
||||
- Funktionen: ~800 (-29%)
|
||||
- Duplizierte Logik: ~10% (-60%)
|
||||
- Dead Code: ~2% (-75%)
|
||||
|
||||
---
|
||||
|
||||
## Fazit
|
||||
|
||||
Das MYP Backend zeigt typische Symptome eines gewachsenen Projekts, ist aber durch **systematisches Refactoring erheblich verbesserbar**. Die größten Einsparungen ergeben sich durch:
|
||||
|
||||
1. **Legacy-Code-Entfernung** (2.262 Zeilen)
|
||||
2. **Utils-Konsolidierung** (2.000+ Zeilen)
|
||||
3. **API-Strukturbereinigung** (300+ Zeilen)
|
||||
|
||||
**Gesamteinsparung:** ~20% des Codes bei **verbesserter Maintainability** und **reduzierter technischer Schuld**.
|
||||
|
||||
Die empfohlene **3-Phasen-Strategie** minimiert Risiken und ermöglicht kontinuierliche Verbesserung ohne Produktionsstörungen.
|
||||
175
backend/SOFORT_LÖSCHBARE_FUNKTIONEN.md
Normal file
175
backend/SOFORT_LÖSCHBARE_FUNKTIONEN.md
Normal file
@ -0,0 +1,175 @@
|
||||
# Sofort löschbare Funktionen - MYP Backend
|
||||
|
||||
## 🔴 KRITISCH - Sofort entfernen (Keine Dependencies)
|
||||
|
||||
### 1. Legacy-Code (GESAMTE DATEI LÖSCHEN)
|
||||
```bash
|
||||
rm legacy/app_original.py # 2.262 Zeilen - komplette alte App-Version
|
||||
```
|
||||
|
||||
### 2. Tool-/Analyse-Dateien (In /tools verschieben)
|
||||
```bash
|
||||
mkdir tools/
|
||||
mv function_analysis_tool.py tools/
|
||||
mv manual_redundancy_analysis.py tools/
|
||||
mv template_analysis_tool.py tools/
|
||||
mv template_problem_analysis.py tools/
|
||||
mv template_validation_final.py tools/
|
||||
mv import_analyzer.py tools/
|
||||
mv cleanup_imports.py tools/
|
||||
mv simple_form_tester.py tools/
|
||||
mv form_test_automator.py tools/
|
||||
```
|
||||
|
||||
### 3. Dead Error-Handler (app.py)
|
||||
|
||||
**Funktion zu löschen:** `handle_exception()` (Zeile 1728-1760)
|
||||
```python
|
||||
# Diese Funktion ist Dead Code - Flask nutzt spezifische Error-Handler
|
||||
@app.errorhandler(Exception)
|
||||
def handle_exception(error):
|
||||
# ... 33 Zeilen Dead Code
|
||||
```
|
||||
|
||||
**Grund:** Wird nie erreicht, da spezifische Handler (@app.errorhandler(500), etc.) zuerst greifen.
|
||||
|
||||
## 🟡 WICHTIG - Entfernen nach Verification
|
||||
|
||||
### 4. Ungenutzte Test-Funktionen
|
||||
|
||||
**tests/test_tapo_integration.py**
|
||||
```python
|
||||
def setup(): # Zeile 106 - nie aufgerufen
|
||||
def cleanup(): # Zeile 114 - nie aufgerufen
|
||||
```
|
||||
|
||||
### 5. Redundante Blueprint-Datei
|
||||
|
||||
**blueprints/api_simple.py** - KOMPLETTE DATEI ENTFERNEN
|
||||
- Grund: Funktionalität bereits in blueprints/tapo_control.py
|
||||
- Zeilen: 130+
|
||||
- Betroffene URLs: `/api/v1/*` (werden zu `/tapo/*`)
|
||||
|
||||
### 6. Ungenutzte Utility-Funktionen
|
||||
|
||||
**utils/drag_drop_system.py**
|
||||
```python
|
||||
def validate_file_upload(): # Zeile 402 - Upload-Validierung erfolgt bereits in uploads.py
|
||||
```
|
||||
|
||||
**utils/job_scheduler.py**
|
||||
```python
|
||||
def update_task(): # Zeile 81 - nur TODO, nicht implementiert
|
||||
```
|
||||
|
||||
**utils/ip_validation.py**
|
||||
```python
|
||||
def validate_printer_ips(): # Zeile 75 - wird durch hardware_integration ersetzt
|
||||
```
|
||||
|
||||
## 🟢 NIEDRIG - Prüfen und entfernen
|
||||
|
||||
### 7. Models.py - Ungenutzte User-Helper
|
||||
|
||||
```python
|
||||
# Diese Funktionen werden nie direkt aufgerufen - Flask-Login nutzt Properties
|
||||
def is_admin(self): # Zeile 378 - durch current_user.is_admin ersetzt
|
||||
def has_role(self): # Zeile 381 - durch Permission-System ersetzt
|
||||
def get_initials(self): # Zeile 393 - nie in Templates verwendet
|
||||
def display_name(self): # Zeile 416 - durch current_user.name ersetzt
|
||||
```
|
||||
|
||||
### 8. Redundante Backup-Funktionen
|
||||
|
||||
**Behalten:** `utils/data_management.py:create_backup()`
|
||||
|
||||
**Löschen:**
|
||||
- `cleanup_imports.py:create_backup()` (Zeile 74)
|
||||
- `blueprints/admin_unified.py:create_backup()` (Zeile 923)
|
||||
|
||||
### 9. Debug-/Development-Funktionen
|
||||
|
||||
**debug/debug_admin.py**
|
||||
```python
|
||||
def debug_user_creation(): # Zeile 45 - nur für Development
|
||||
def debug_printer_setup(): # Zeile 89 - nur für Development
|
||||
```
|
||||
|
||||
**start_development.py / start_production.py**
|
||||
```python
|
||||
def setup_development(): # Development-Helper, nicht für Production
|
||||
def check_requirements(): # Ein-Zeit-Setup, kann nach Installation entfernt werden
|
||||
```
|
||||
|
||||
## 📋 Kommandos für sofortige Ausführung
|
||||
|
||||
### Phase 1: Sofort ausführbar (0 Risiko)
|
||||
```bash
|
||||
# Legacy-Code entfernen
|
||||
rm legacy/app_original.py
|
||||
|
||||
# Tool-Dateien verschieben
|
||||
mkdir -p tools/
|
||||
mv {function_analysis_tool,manual_redundancy_analysis,template_analysis_tool,template_problem_analysis,template_validation_final,import_analyzer,cleanup_imports,simple_form_tester,form_test_automator}.py tools/
|
||||
|
||||
# Leere Test-Verzeichnisse bereinigen
|
||||
find instance/sessions/ -name "*.pkl" -mtime +7 -delete # Alte Sessions
|
||||
```
|
||||
|
||||
### Phase 2: Nach Code-Review (niedriges Risiko)
|
||||
```bash
|
||||
# Redundante API-Blueprint entfernen
|
||||
rm blueprints/api_simple.py
|
||||
|
||||
# Debug-Dateien entfernen (falls nicht mehr benötigt)
|
||||
rm -rf debug/
|
||||
```
|
||||
|
||||
### Phase 3: Nach Testing (mittleres Risiko)
|
||||
```python
|
||||
# In app.py: handle_exception() Funktion entfernen (Zeile 1728-1760)
|
||||
# In utils/: Redundante Funktionen entfernen nach Utils-Konsolidierung
|
||||
```
|
||||
|
||||
## 📊 Erwartete Einsparungen
|
||||
|
||||
| Phase | Dateien | Funktionen | Zeilen | Risiko |
|
||||
|-------|---------|------------|--------|--------|
|
||||
| 1 | 10 Dateien | 50+ | 4.000+ | **Null** ⭐ |
|
||||
| 2 | 3 Dateien | 15+ | 300+ | **Niedrig** ⭐⭐ |
|
||||
| 3 | - | 20+ | 500+ | **Mittel** ⭐⭐⭐ |
|
||||
| **Total** | **13 Dateien** | **85+ Funktionen** | **4.800+ Zeilen** | - |
|
||||
|
||||
## ⚠️ Wichtige Hinweise
|
||||
|
||||
### Was NICHT löschen:
|
||||
- Funktionen mit `@app.route` Decorator (Flask-Routes)
|
||||
- Funktionen mit `@property` Decorator (Object-Properties)
|
||||
- `__init__`, `__str__`, etc. (Magic Methods)
|
||||
- `main()` in aktiven Skripten
|
||||
- Flask-Login required: `is_authenticated`, `is_active`, `get_id`
|
||||
|
||||
### Vor dem Löschen prüfen:
|
||||
```bash
|
||||
# Suche nach Funktionsaufrufen
|
||||
grep -r "function_name" --include="*.py" .
|
||||
grep -r "from .* import.*function_name" --include="*.py" .
|
||||
```
|
||||
|
||||
### Nach dem Löschen testen:
|
||||
```bash
|
||||
# Server-Start-Test
|
||||
python app.py --debug
|
||||
|
||||
# Import-Test
|
||||
python -c "from app import app; print('OK')"
|
||||
|
||||
# Route-Test
|
||||
curl http://localhost:5000/api/health
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Geschätzte Arbeitszeit:** 2-4 Stunden
|
||||
**Geschätzte Code-Reduktion:** 15-20%
|
||||
**Geschätzte Performance-Verbesserung:** 5-10% (weniger Imports, kleinere Dateien)
|
||||
325
backend/cleanup_imports.py
Normal file
325
backend/cleanup_imports.py
Normal file
@ -0,0 +1,325 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Automatische Bereinigung von ungenutzten Imports im MYP Backend
|
||||
|
||||
Dieser Script bereinigt sichere, ungenutzte Imports automatisch und
|
||||
erstellt ein Backup vor den Änderungen.
|
||||
"""
|
||||
|
||||
import os
|
||||
import re
|
||||
import shutil
|
||||
import ast
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from typing import List, Dict, Set, Tuple
|
||||
|
||||
class ImportCleaner:
|
||||
def __init__(self, backend_path: str):
|
||||
self.backend_path = Path(backend_path)
|
||||
self.backup_dir = self.backend_path / f"backup_imports_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
|
||||
self.changes = []
|
||||
|
||||
# Sichere Imports die entfernt werden können (niedrige Fehlerwahrscheinlichkeit)
|
||||
self.safe_unused_imports = {
|
||||
# Typing imports (fast immer sicher zu entfernen)
|
||||
'typing.Set', 'typing.Tuple', 'typing.List', 'typing.Dict', 'typing.Any',
|
||||
'typing.Optional', 'typing.Union', 'typing.Callable',
|
||||
|
||||
# Standard library (meist sicher wenn ungenutzt)
|
||||
'pathlib.Path', 'enum.Enum', 'dataclasses.dataclass', 'dataclasses.asdict',
|
||||
'collections.defaultdict', 'collections.Counter',
|
||||
|
||||
# Entwicklungs-spezifische imports
|
||||
'rich.console.Console', 'rich.table.Table', 'rich.panel.Panel',
|
||||
'rich.progress.Progress', 'rich.text.Text',
|
||||
'faker.Faker', 'bs4.BeautifulSoup',
|
||||
|
||||
# Selenium (oft in Test-Dateien ungenutzt)
|
||||
'selenium.common.exceptions.TimeoutException',
|
||||
'selenium.common.exceptions.WebDriverException',
|
||||
'selenium.common.exceptions.NoSuchElementException',
|
||||
'selenium.webdriver.firefox.service.Service',
|
||||
'selenium.webdriver.chrome.service.Service',
|
||||
'selenium.webdriver.support.expected_conditions',
|
||||
'selenium.webdriver.common.by.By',
|
||||
'selenium.webdriver.support.ui.WebDriverWait',
|
||||
'selenium.webdriver.chrome.options.Options',
|
||||
'selenium.webdriver.firefox.options.Options',
|
||||
|
||||
# WTForms (sicher wenn nicht in Templates verwendet)
|
||||
'wtforms.validators.NumberRange', 'wtforms.validators.Optional',
|
||||
'wtforms.validators.DataRequired', 'wtforms.validators.Email',
|
||||
'wtforms.TextAreaField', 'wtforms.IntegerField', 'wtforms.StringField',
|
||||
'wtforms.SelectField',
|
||||
}
|
||||
|
||||
# Dateien die NUR automatisch bereinigt werden (niedrige Kritikalität)
|
||||
self.safe_files = {
|
||||
'template_analysis_tool.py',
|
||||
'template_validation_final.py',
|
||||
'template_problem_analysis.py',
|
||||
'import_analyzer.py',
|
||||
'form_test_automator.py',
|
||||
'simple_form_tester.py',
|
||||
'test_flask_minimal.py',
|
||||
'scripts/screenshot_tool.py',
|
||||
'scripts/quick_unicode_fix.py',
|
||||
'scripts/test_protocol_generator.py',
|
||||
'ssl/ssl_fix.py',
|
||||
'ssl/fix_ssl_browser.py',
|
||||
'static/icons/generate_icons.py',
|
||||
}
|
||||
|
||||
def create_backup(self):
|
||||
"""Erstellt Backup aller Python-Dateien"""
|
||||
print(f"Erstelle Backup in: {self.backup_dir}")
|
||||
self.backup_dir.mkdir(exist_ok=True)
|
||||
|
||||
for py_file in self.backend_path.rglob("*.py"):
|
||||
if self.should_process_file(py_file):
|
||||
rel_path = py_file.relative_to(self.backend_path)
|
||||
backup_file = self.backup_dir / rel_path
|
||||
backup_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
shutil.copy2(py_file, backup_file)
|
||||
|
||||
print(f"✅ Backup erstellt: {len(list(self.backup_dir.rglob('*.py')))} Dateien")
|
||||
|
||||
def should_process_file(self, file_path: Path) -> bool:
|
||||
"""Bestimmt ob eine Datei verarbeitet werden soll"""
|
||||
# Überspringe bestimmte Verzeichnisse
|
||||
exclude_dirs = {'__pycache__', '.git', 'node_modules', 'instance'}
|
||||
if any(part in str(file_path) for part in exclude_dirs):
|
||||
return False
|
||||
|
||||
# Überspringe Backup-Verzeichnisse
|
||||
if 'backup_' in str(file_path):
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
def analyze_file_imports(self, file_path: Path) -> Tuple[List[str], Set[str]]:
|
||||
"""Analysiert Imports und Verwendungen in einer Datei"""
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
tree = ast.parse(content)
|
||||
|
||||
# Sammle alle Imports
|
||||
imports = []
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.Import):
|
||||
for alias in node.names:
|
||||
imports.append(alias.name)
|
||||
elif isinstance(node, ast.ImportFrom):
|
||||
module = node.module or ''
|
||||
for alias in node.names:
|
||||
if module:
|
||||
imports.append(f"{module}.{alias.name}")
|
||||
else:
|
||||
imports.append(alias.name)
|
||||
|
||||
# Sammle verwendete Namen (vereinfacht)
|
||||
used_names = set()
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.Name):
|
||||
used_names.add(node.id)
|
||||
elif isinstance(node, ast.Attribute):
|
||||
if isinstance(node.value, ast.Name):
|
||||
used_names.add(f"{node.value.id}.{node.attr}")
|
||||
|
||||
# Prüfe auch String-Literale
|
||||
for imp in imports:
|
||||
if imp in content:
|
||||
used_names.add(imp)
|
||||
|
||||
return imports, used_names
|
||||
|
||||
except Exception as e:
|
||||
print(f"⚠️ Fehler beim Analysieren von {file_path}: {e}")
|
||||
return [], set()
|
||||
|
||||
def find_safe_unused_imports(self, file_path: Path) -> List[str]:
|
||||
"""Findet sichere ungenutzte Imports in einer Datei"""
|
||||
imports, used_names = self.analyze_file_imports(file_path)
|
||||
|
||||
unused_safe = []
|
||||
for imp in imports:
|
||||
# Nur sichere Imports berücksichtigen
|
||||
if imp in self.safe_unused_imports:
|
||||
# Prüfe verschiedene Nutzungsformen
|
||||
base_name = imp.split('.')[0]
|
||||
is_used = (
|
||||
base_name in used_names or
|
||||
imp in used_names or
|
||||
any(imp in name for name in used_names)
|
||||
)
|
||||
|
||||
if not is_used:
|
||||
unused_safe.append(imp)
|
||||
|
||||
return unused_safe
|
||||
|
||||
def remove_unused_imports(self, file_path: Path, unused_imports: List[str]) -> bool:
|
||||
"""Entfernt ungenutzte Imports aus einer Datei"""
|
||||
if not unused_imports:
|
||||
return False
|
||||
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
lines = f.readlines()
|
||||
|
||||
modified = False
|
||||
new_lines = []
|
||||
|
||||
for line in lines:
|
||||
should_remove = False
|
||||
|
||||
# Prüfe ob die Zeile einen zu entfernenden Import enthält
|
||||
for unused_imp in unused_imports:
|
||||
# Verschiedene Import-Patterns prüfen
|
||||
patterns = [
|
||||
f"from {unused_imp.split('.')[0]} import {unused_imp.split('.')[-1]}",
|
||||
f"import {unused_imp}",
|
||||
f"from {'.'.join(unused_imp.split('.')[:-1])} import {unused_imp.split('.')[-1]}",
|
||||
]
|
||||
|
||||
for pattern in patterns:
|
||||
if pattern in line and line.strip().startswith(('from ', 'import ')):
|
||||
# Prüfe ob es eine reine Import-Zeile ist (keine Kommentare etc.)
|
||||
clean_line = line.split('#')[0].strip()
|
||||
if clean_line.endswith(unused_imp.split('.')[-1]) or clean_line.endswith(unused_imp):
|
||||
should_remove = True
|
||||
break
|
||||
|
||||
if should_remove:
|
||||
break
|
||||
|
||||
if not should_remove:
|
||||
new_lines.append(line)
|
||||
else:
|
||||
modified = True
|
||||
print(f" Entferne: {line.strip()}")
|
||||
|
||||
if modified:
|
||||
with open(file_path, 'w', encoding='utf-8') as f:
|
||||
f.writelines(new_lines)
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Fehler beim Bereinigen von {file_path}: {e}")
|
||||
return False
|
||||
|
||||
return False
|
||||
|
||||
def clean_file(self, file_path: Path) -> bool:
|
||||
"""Bereinigt eine einzelne Datei"""
|
||||
rel_path = file_path.relative_to(self.backend_path)
|
||||
|
||||
# Nur sichere Dateien automatisch bereinigen
|
||||
if str(rel_path) not in self.safe_files:
|
||||
print(f"⚠️ Überspringe {rel_path} (nicht in sicherer Liste)")
|
||||
return False
|
||||
|
||||
print(f"\n🔍 Analysiere: {rel_path}")
|
||||
|
||||
unused_imports = self.find_safe_unused_imports(file_path)
|
||||
|
||||
if unused_imports:
|
||||
print(f" Gefunden: {len(unused_imports)} sichere ungenutzte Imports")
|
||||
modified = self.remove_unused_imports(file_path, unused_imports)
|
||||
|
||||
if modified:
|
||||
self.changes.append({
|
||||
'file': str(rel_path),
|
||||
'removed_imports': unused_imports,
|
||||
'count': len(unused_imports)
|
||||
})
|
||||
print(f" ✅ {len(unused_imports)} Imports entfernt")
|
||||
return True
|
||||
else:
|
||||
print(f" ⚠️ Imports gefunden aber nicht entfernt")
|
||||
else:
|
||||
print(f" ✅ Keine sicheren ungenutzten Imports gefunden")
|
||||
|
||||
return False
|
||||
|
||||
def run_cleanup(self):
|
||||
"""Führt die komplette Bereinigung durch"""
|
||||
print("🧹 Starte automatische Import-Bereinigung...")
|
||||
print(f"📁 Backend-Pfad: {self.backend_path}")
|
||||
|
||||
# Backup erstellen
|
||||
self.create_backup()
|
||||
|
||||
# Alle Python-Dateien durchgehen
|
||||
modified_files = 0
|
||||
total_removed = 0
|
||||
|
||||
for py_file in self.backend_path.rglob("*.py"):
|
||||
if self.should_process_file(py_file):
|
||||
if self.clean_file(py_file):
|
||||
modified_files += 1
|
||||
|
||||
# Statistiken
|
||||
total_removed = sum(change['count'] for change in self.changes)
|
||||
|
||||
print(f"\n" + "="*60)
|
||||
print(f"📊 BEREINIGUNG ABGESCHLOSSEN")
|
||||
print(f"="*60)
|
||||
print(f"Bearbeitete Dateien: {modified_files}")
|
||||
print(f"Entfernte Imports gesamt: {total_removed}")
|
||||
print(f"Backup erstellt in: {self.backup_dir}")
|
||||
|
||||
if self.changes:
|
||||
print(f"\n📝 GEÄNDERTE DATEIEN:")
|
||||
for change in self.changes:
|
||||
print(f" 📄 {change['file']}: {change['count']} Imports entfernt")
|
||||
|
||||
print(f"\n💡 NÄCHSTE SCHRITTE:")
|
||||
print(f"1. Tests ausführen: python -m pytest")
|
||||
print(f"2. App starten und prüfen: python app.py --debug")
|
||||
print(f"3. Bei Problemen Backup wiederherstellen")
|
||||
print(f"4. Manuelle Bereinigung von app.py und models.py")
|
||||
|
||||
return modified_files, total_removed
|
||||
|
||||
def restore_backup(self):
|
||||
"""Stellt das Backup wieder her"""
|
||||
if not self.backup_dir.exists():
|
||||
print("❌ Kein Backup gefunden!")
|
||||
return False
|
||||
|
||||
print(f"🔄 Stelle Backup wieder her aus: {self.backup_dir}")
|
||||
|
||||
restored = 0
|
||||
for backup_file in self.backup_dir.rglob("*.py"):
|
||||
rel_path = backup_file.relative_to(self.backup_dir)
|
||||
original_file = self.backend_path / rel_path
|
||||
|
||||
if original_file.exists():
|
||||
shutil.copy2(backup_file, original_file)
|
||||
restored += 1
|
||||
|
||||
print(f"✅ {restored} Dateien wiederhergestellt")
|
||||
return True
|
||||
|
||||
def main():
|
||||
backend_path = Path(__file__).parent
|
||||
cleaner = ImportCleaner(str(backend_path))
|
||||
|
||||
import sys
|
||||
if len(sys.argv) > 1 and sys.argv[1] == '--restore':
|
||||
# Backup wiederherstellen
|
||||
cleaner.restore_backup()
|
||||
else:
|
||||
# Bereinigung durchführen
|
||||
modified, removed = cleaner.run_cleanup()
|
||||
|
||||
if modified > 0:
|
||||
print(f"\n⚠️ WICHTIG: Führe Tests aus um sicherzustellen dass alles funktioniert!")
|
||||
print(f"Bei Problemen: python cleanup_imports.py --restore")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
109615
backend/function_analysis_report.json
Normal file
109615
backend/function_analysis_report.json
Normal file
File diff suppressed because it is too large
Load Diff
376
backend/function_analysis_tool.py
Normal file
376
backend/function_analysis_tool.py
Normal file
@ -0,0 +1,376 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Automatisiertes Tool zur Analyse redundanter und ungenutzter Funktionen
|
||||
Analysiert Python-Dateien auf:
|
||||
1. Funktionen die nie aufgerufen werden (Dead Code)
|
||||
2. Doppelte/ähnliche Funktionen
|
||||
3. Überflüssige Hilfsfunktionen
|
||||
4. Veraltete Funktionen
|
||||
"""
|
||||
|
||||
import os
|
||||
import ast
|
||||
import re
|
||||
import json
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
|
||||
class FunctionAnalyzer:
|
||||
def __init__(self, base_path):
|
||||
self.base_path = base_path
|
||||
self.functions = {} # Alle gefundenen Funktionen
|
||||
self.calls = defaultdict(set) # Funktionsaufrufe
|
||||
self.imports = defaultdict(set) # Import-Statements
|
||||
self.similar_functions = [] # Ähnliche Funktionen
|
||||
|
||||
def analyze_file(self, file_path):
|
||||
"""Analysiert eine einzelne Python-Datei"""
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
tree = ast.parse(content)
|
||||
|
||||
# Relative Path für bessere Lesbarkeit
|
||||
rel_path = os.path.relpath(file_path, self.base_path)
|
||||
|
||||
# Funktionen extrahieren
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.FunctionDef):
|
||||
func_name = node.name
|
||||
key = f"{rel_path}:{func_name}"
|
||||
|
||||
# Funktions-Metadaten sammeln
|
||||
self.functions[key] = {
|
||||
'name': func_name,
|
||||
'file': rel_path,
|
||||
'line': node.lineno,
|
||||
'args': [arg.arg for arg in node.args.args],
|
||||
'docstring': ast.get_docstring(node),
|
||||
'is_private': func_name.startswith('_'),
|
||||
'is_dunder': func_name.startswith('__') and func_name.endswith('__'),
|
||||
'body_lines': len(node.body),
|
||||
'decorators': [d.id if isinstance(d, ast.Name) else str(d) for d in node.decorator_list]
|
||||
}
|
||||
|
||||
# Funktionsaufrufe extrahieren
|
||||
elif isinstance(node, ast.Call):
|
||||
if isinstance(node.func, ast.Name):
|
||||
self.calls[rel_path].add(node.func.id)
|
||||
elif isinstance(node.func, ast.Attribute):
|
||||
self.calls[rel_path].add(node.func.attr)
|
||||
|
||||
# Import-Statements extrahieren
|
||||
elif isinstance(node, ast.Import):
|
||||
for alias in node.names:
|
||||
self.imports[rel_path].add(alias.name)
|
||||
elif isinstance(node, ast.ImportFrom):
|
||||
if node.module:
|
||||
for alias in node.names:
|
||||
self.imports[rel_path].add(f"{node.module}.{alias.name}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Fehler beim Analysieren von {file_path}: {e}")
|
||||
|
||||
def find_unused_functions(self):
|
||||
"""Findet ungenutzte Funktionen"""
|
||||
unused = []
|
||||
all_calls = set()
|
||||
|
||||
# Alle Funktionsaufrufe sammeln
|
||||
for file_calls in self.calls.values():
|
||||
all_calls.update(file_calls)
|
||||
|
||||
for key, func in self.functions.items():
|
||||
func_name = func['name']
|
||||
|
||||
# Spezielle Funktionen ausschließen
|
||||
if (func['is_dunder'] or # __init__, __str__, etc.
|
||||
func_name in ['main', 'create_app'] or # Entry points
|
||||
any(d in ['app.route', 'login_required', 'admin_required'] for d in func['decorators']) or # Route handlers
|
||||
func_name.startswith('test_')): # Test-Funktionen
|
||||
continue
|
||||
|
||||
# Prüfe ob Funktion aufgerufen wird
|
||||
if func_name not in all_calls:
|
||||
unused.append({
|
||||
'key': key,
|
||||
'name': func_name,
|
||||
'file': func['file'],
|
||||
'line': func['line'],
|
||||
'is_private': func['is_private'],
|
||||
'body_lines': func['body_lines'],
|
||||
'docstring': func['docstring'][:100] if func['docstring'] else None
|
||||
})
|
||||
|
||||
return unused
|
||||
|
||||
def find_similar_functions(self, threshold=0.7):
|
||||
"""Findet ähnliche Funktionen basierend auf Namen und Argumenten"""
|
||||
similar = []
|
||||
functions_list = list(self.functions.items())
|
||||
|
||||
for i, (key1, func1) in enumerate(functions_list):
|
||||
for key2, func2 in functions_list[i+1:]:
|
||||
similarity = self._calculate_similarity(func1, func2)
|
||||
|
||||
if similarity >= threshold:
|
||||
similar.append({
|
||||
'func1': {'key': key1, 'name': func1['name'], 'file': func1['file'], 'line': func1['line']},
|
||||
'func2': {'key': key2, 'name': func2['name'], 'file': func2['file'], 'line': func2['line']},
|
||||
'similarity': similarity,
|
||||
'reason': self._get_similarity_reason(func1, func2)
|
||||
})
|
||||
|
||||
return similar
|
||||
|
||||
def find_redundant_helpers(self):
|
||||
"""Findet überflüssige Hilfsfunktionen die nur einmal verwendet werden"""
|
||||
redundant = []
|
||||
call_counts = defaultdict(int)
|
||||
|
||||
# Zähle Funktionsaufrufe
|
||||
for file_calls in self.calls.values():
|
||||
for call in file_calls:
|
||||
call_counts[call] += 1
|
||||
|
||||
for key, func in self.functions.items():
|
||||
func_name = func['name']
|
||||
|
||||
# Nur Hilfsfunktionen betrachten (private oder kurze Funktionen)
|
||||
if (func['is_private'] or func['body_lines'] <= 5) and not func['is_dunder']:
|
||||
usage_count = call_counts.get(func_name, 0)
|
||||
|
||||
if usage_count <= 1: # Nur einmal oder gar nicht verwendet
|
||||
redundant.append({
|
||||
'key': key,
|
||||
'name': func_name,
|
||||
'file': func['file'],
|
||||
'line': func['line'],
|
||||
'usage_count': usage_count,
|
||||
'body_lines': func['body_lines'],
|
||||
'is_private': func['is_private']
|
||||
})
|
||||
|
||||
return redundant
|
||||
|
||||
def _calculate_similarity(self, func1, func2):
|
||||
"""Berechnet Ähnlichkeit zwischen zwei Funktionen"""
|
||||
score = 0.0
|
||||
|
||||
# Namen-Ähnlichkeit (Levenshtein-ähnlich)
|
||||
name_similarity = self._string_similarity(func1['name'], func2['name'])
|
||||
score += name_similarity * 0.4
|
||||
|
||||
# Argument-Ähnlichkeit
|
||||
args1, args2 = set(func1['args']), set(func2['args'])
|
||||
if args1 or args2:
|
||||
arg_similarity = len(args1 & args2) / len(args1 | args2)
|
||||
score += arg_similarity * 0.3
|
||||
|
||||
# Zeilen-Ähnlichkeit
|
||||
line_diff = abs(func1['body_lines'] - func2['body_lines'])
|
||||
if max(func1['body_lines'], func2['body_lines']) > 0:
|
||||
line_similarity = 1 - (line_diff / max(func1['body_lines'], func2['body_lines']))
|
||||
score += line_similarity * 0.3
|
||||
|
||||
return score
|
||||
|
||||
def _string_similarity(self, s1, s2):
|
||||
"""Einfache String-Ähnlichkeit"""
|
||||
if not s1 or not s2:
|
||||
return 0.0
|
||||
|
||||
# Gemeinsame Zeichen
|
||||
common = len(set(s1.lower()) & set(s2.lower()))
|
||||
total = len(set(s1.lower()) | set(s2.lower()))
|
||||
|
||||
return common / total if total > 0 else 0.0
|
||||
|
||||
def _get_similarity_reason(self, func1, func2):
|
||||
"""Gibt den Grund für die Ähnlichkeit zurück"""
|
||||
reasons = []
|
||||
|
||||
if self._string_similarity(func1['name'], func2['name']) > 0.7:
|
||||
reasons.append("ähnliche Namen")
|
||||
|
||||
if set(func1['args']) & set(func2['args']):
|
||||
reasons.append("gemeinsame Argumente")
|
||||
|
||||
if abs(func1['body_lines'] - func2['body_lines']) <= 2:
|
||||
reasons.append("ähnliche Länge")
|
||||
|
||||
return ", ".join(reasons) if reasons else "unbekannt"
|
||||
|
||||
def analyze_project(self):
|
||||
"""Analysiert das gesamte Projekt"""
|
||||
print(f"Analysiere Projekt: {self.base_path}")
|
||||
|
||||
# Alle Python-Dateien finden
|
||||
python_files = []
|
||||
for root, dirs, files in os.walk(self.base_path):
|
||||
# Bestimmte Verzeichnisse ausschließen
|
||||
dirs[:] = [d for d in dirs if d not in ['.git', '__pycache__', 'node_modules', '.pytest_cache']]
|
||||
|
||||
for file in files:
|
||||
if file.endswith('.py') and not file.startswith('.'):
|
||||
python_files.append(os.path.join(root, file))
|
||||
|
||||
print(f"Gefundene Python-Dateien: {len(python_files)}")
|
||||
|
||||
# Jede Datei analysieren
|
||||
for file_path in python_files:
|
||||
self.analyze_file(file_path)
|
||||
|
||||
print(f"Analysierte Funktionen: {len(self.functions)}")
|
||||
|
||||
# Verschiedene Analysen durchführen
|
||||
unused = self.find_unused_functions()
|
||||
similar = self.find_similar_functions()
|
||||
redundant = self.find_redundant_helpers()
|
||||
|
||||
return {
|
||||
'summary': {
|
||||
'total_files': len(python_files),
|
||||
'total_functions': len(self.functions),
|
||||
'unused_functions': len(unused),
|
||||
'similar_functions': len(similar),
|
||||
'redundant_helpers': len(redundant)
|
||||
},
|
||||
'unused_functions': unused,
|
||||
'similar_functions': similar,
|
||||
'redundant_helpers': redundant,
|
||||
'all_functions': self.functions
|
||||
}
|
||||
|
||||
def generate_report(self, output_file=None):
|
||||
"""Generiert einen detaillierten Bericht"""
|
||||
results = self.analyze_project()
|
||||
|
||||
report = {
|
||||
'analysis_date': datetime.now().isoformat(),
|
||||
'project_path': self.base_path,
|
||||
'summary': results['summary'],
|
||||
'findings': {
|
||||
'unused_functions': results['unused_functions'],
|
||||
'similar_functions': results['similar_functions'],
|
||||
'redundant_helpers': results['redundant_helpers']
|
||||
},
|
||||
'recommendations': self._generate_recommendations(results)
|
||||
}
|
||||
|
||||
if output_file:
|
||||
with open(output_file, 'w', encoding='utf-8') as f:
|
||||
json.dump(report, f, indent=2, ensure_ascii=False)
|
||||
print(f"Bericht gespeichert: {output_file}")
|
||||
|
||||
return report
|
||||
|
||||
def _generate_recommendations(self, results):
|
||||
"""Generiert Empfehlungen basierend auf den Analyseergebnissen"""
|
||||
recommendations = []
|
||||
|
||||
# Ungenutzte Funktionen
|
||||
unused = results['unused_functions']
|
||||
if unused:
|
||||
high_priority = [f for f in unused if not f['is_private'] and f['body_lines'] > 10]
|
||||
if high_priority:
|
||||
recommendations.append({
|
||||
'type': 'high_priority_removal',
|
||||
'description': f"Entfernen Sie {len(high_priority)} ungenutzte öffentliche Funktionen",
|
||||
'functions': [f['key'] for f in high_priority]
|
||||
})
|
||||
|
||||
low_priority = [f for f in unused if f['is_private'] or f['body_lines'] <= 10]
|
||||
if low_priority:
|
||||
recommendations.append({
|
||||
'type': 'low_priority_removal',
|
||||
'description': f"Prüfen Sie {len(low_priority)} ungenutzte private/kleine Funktionen",
|
||||
'functions': [f['key'] for f in low_priority]
|
||||
})
|
||||
|
||||
# Ähnliche Funktionen
|
||||
similar = results['similar_functions']
|
||||
if similar:
|
||||
high_similarity = [s for s in similar if s['similarity'] > 0.8]
|
||||
if high_similarity:
|
||||
recommendations.append({
|
||||
'type': 'consolidation',
|
||||
'description': f"Konsolidieren Sie {len(high_similarity)} sehr ähnliche Funktionen",
|
||||
'pairs': [(s['func1']['key'], s['func2']['key']) for s in high_similarity]
|
||||
})
|
||||
|
||||
# Redundante Hilfsfunktionen
|
||||
redundant = results['redundant_helpers']
|
||||
if redundant:
|
||||
unused_helpers = [r for r in redundant if r['usage_count'] == 0]
|
||||
if unused_helpers:
|
||||
recommendations.append({
|
||||
'type': 'helper_removal',
|
||||
'description': f"Entfernen Sie {len(unused_helpers)} ungenutzte Hilfsfunktionen",
|
||||
'functions': [h['key'] for h in unused_helpers]
|
||||
})
|
||||
|
||||
return recommendations
|
||||
|
||||
def main():
|
||||
"""Hauptfunktion für die Analyse"""
|
||||
base_path = "/cbin/C0S1-cernel/C02L2/Dateiverwaltung/nextcloud/core/files/3_Beruf_Ausbildung_und_Schule/IHK-Abschlussprüfung/Projektarbeit-MYP/backend"
|
||||
|
||||
analyzer = FunctionAnalyzer(base_path)
|
||||
|
||||
# Analyse durchführen und Bericht generieren
|
||||
output_file = os.path.join(base_path, 'function_analysis_report.json')
|
||||
report = analyzer.generate_report(output_file)
|
||||
|
||||
# Zusammenfassung ausgeben
|
||||
print("\n" + "="*80)
|
||||
print("FUNKTIONSANALYSE - ZUSAMMENFASSUNG")
|
||||
print("="*80)
|
||||
|
||||
summary = report['summary']
|
||||
print(f"📁 Analysierte Dateien: {summary['total_files']}")
|
||||
print(f"⚙️ Gefundene Funktionen: {summary['total_functions']}")
|
||||
print(f"💀 Ungenutzte Funktionen: {summary['unused_functions']}")
|
||||
print(f"👯 Ähnliche Funktionen: {summary['similar_functions']}")
|
||||
print(f"🔧 Redundante Hilfsfunktionen: {summary['redundant_helpers']}")
|
||||
|
||||
# Top-Findings ausgeben
|
||||
print("\n" + "-"*60)
|
||||
print("TOP UNGENUTZTE FUNKTIONEN (Kandidaten für Löschung)")
|
||||
print("-"*60)
|
||||
|
||||
unused = report['findings']['unused_functions']
|
||||
unused_sorted = sorted(unused, key=lambda x: (not x['is_private'], x['body_lines']), reverse=True)
|
||||
|
||||
for i, func in enumerate(unused_sorted[:10]):
|
||||
status = "🔴 ÖFFENTLICH" if not func['is_private'] else "🟡 PRIVAT"
|
||||
print(f"{i+1:2d}. {status} {func['file']}:{func['line']} - {func['name']}() ({func['body_lines']} Zeilen)")
|
||||
|
||||
# Ähnliche Funktionen
|
||||
print("\n" + "-"*60)
|
||||
print("ÄHNLICHE FUNKTIONEN (Kandidaten für Konsolidierung)")
|
||||
print("-"*60)
|
||||
|
||||
similar = report['findings']['similar_functions']
|
||||
similar_sorted = sorted(similar, key=lambda x: x['similarity'], reverse=True)
|
||||
|
||||
for i, pair in enumerate(similar_sorted[:5]):
|
||||
similarity_percent = int(pair['similarity'] * 100)
|
||||
print(f"{i+1}. {similarity_percent}% Ähnlichkeit ({pair['reason']})")
|
||||
print(f" 📍 {pair['func1']['file']}:{pair['func1']['line']} - {pair['func1']['name']}()")
|
||||
print(f" 📍 {pair['func2']['file']}:{pair['func2']['line']} - {pair['func2']['name']}()")
|
||||
print()
|
||||
|
||||
# Empfehlungen
|
||||
print("-"*60)
|
||||
print("EMPFEHLUNGEN")
|
||||
print("-"*60)
|
||||
|
||||
for rec in report['recommendations']:
|
||||
print(f"🎯 {rec['type'].upper()}: {rec['description']}")
|
||||
|
||||
print(f"\n📄 Detaillierter Bericht: {output_file}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
2634
backend/import_analysis_report.json
Normal file
2634
backend/import_analysis_report.json
Normal file
File diff suppressed because it is too large
Load Diff
357
backend/import_analyzer.py
Normal file
357
backend/import_analyzer.py
Normal file
@ -0,0 +1,357 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Import-Analyzer für das MYP Backend
|
||||
|
||||
Analysiert alle Python-Dateien auf:
|
||||
1. Ungenutzte Import-Statements
|
||||
2. Zirkuläre Imports
|
||||
3. Redundante Imports
|
||||
4. Missing imports
|
||||
"""
|
||||
|
||||
import os
|
||||
import ast
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from collections import defaultdict, Counter
|
||||
from typing import Dict, List, Set, Tuple, Any
|
||||
import json
|
||||
|
||||
class ImportAnalyzer:
|
||||
def __init__(self, backend_path: str):
|
||||
self.backend_path = Path(backend_path)
|
||||
self.files_data = {}
|
||||
self.all_imports = defaultdict(set)
|
||||
self.all_usages = defaultdict(set)
|
||||
self.module_dependencies = defaultdict(set)
|
||||
self.findings = {
|
||||
'unused_imports': {},
|
||||
'circular_imports': [],
|
||||
'redundant_imports': {},
|
||||
'missing_imports': {},
|
||||
'statistics': {}
|
||||
}
|
||||
|
||||
def analyze_file(self, file_path: Path) -> Dict[str, Any]:
|
||||
"""Analysiert eine einzelne Python-Datei"""
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
tree = ast.parse(content)
|
||||
|
||||
# Sammle Imports
|
||||
imports = set()
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.Import):
|
||||
for alias in node.names:
|
||||
imports.add(alias.name)
|
||||
elif isinstance(node, ast.ImportFrom):
|
||||
module = node.module or ''
|
||||
for alias in node.names:
|
||||
if module:
|
||||
imports.add(f"{module}.{alias.name}")
|
||||
else:
|
||||
imports.add(alias.name)
|
||||
|
||||
# Sammle verwendete Namen aus dem Code
|
||||
used_names = set()
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.Name):
|
||||
used_names.add(node.id)
|
||||
elif isinstance(node, ast.Attribute):
|
||||
# Sammle Attribut-Zugriffe
|
||||
if isinstance(node.value, ast.Name):
|
||||
used_names.add(f"{node.value.id}.{node.attr}")
|
||||
elif isinstance(node, ast.Call):
|
||||
# Sammle Funktionsaufrufe
|
||||
if isinstance(node.func, ast.Name):
|
||||
used_names.add(node.func.id)
|
||||
elif isinstance(node.func, ast.Attribute):
|
||||
if isinstance(node.func.value, ast.Name):
|
||||
used_names.add(f"{node.func.value.id}.{node.func.attr}")
|
||||
|
||||
# Suche auch in String-Literalen nach Verwendungen
|
||||
string_references = set()
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.Str):
|
||||
# Suche nach import-ähnlichen Strings
|
||||
for imp in imports:
|
||||
if imp in node.s:
|
||||
string_references.add(imp)
|
||||
|
||||
return {
|
||||
'imports': imports,
|
||||
'used_names': used_names,
|
||||
'string_references': string_references,
|
||||
'content': content,
|
||||
'lines': len(content.splitlines())
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
print(f"Fehler beim Analysieren von {file_path}: {e}")
|
||||
return {
|
||||
'imports': set(),
|
||||
'used_names': set(),
|
||||
'string_references': set(),
|
||||
'content': '',
|
||||
'lines': 0,
|
||||
'error': str(e)
|
||||
}
|
||||
|
||||
def find_unused_imports(self):
|
||||
"""Findet ungenutzte Imports"""
|
||||
for file_path, data in self.files_data.items():
|
||||
if 'error' in data:
|
||||
continue
|
||||
|
||||
unused = []
|
||||
imports = data['imports']
|
||||
used_names = data['used_names']
|
||||
string_refs = data['string_references']
|
||||
|
||||
for imp in imports:
|
||||
# Verschiedene Formen der Nutzung prüfen
|
||||
is_used = False
|
||||
|
||||
# Direkter Name
|
||||
base_name = imp.split('.')[0]
|
||||
if base_name in used_names:
|
||||
is_used = True
|
||||
|
||||
# Vollständiger Import-Name
|
||||
if imp in used_names:
|
||||
is_used = True
|
||||
|
||||
# In String-Referenzen
|
||||
if imp in string_refs:
|
||||
is_used = True
|
||||
|
||||
# Spezielle Fälle für häufige Patterns
|
||||
# Flask decorators, etc.
|
||||
if not is_used and any(pattern in data['content'] for pattern in [
|
||||
f"@{base_name}",
|
||||
f"'{imp}'",
|
||||
f'"{imp}"',
|
||||
f"{base_name}(",
|
||||
f".{base_name}",
|
||||
]):
|
||||
is_used = True
|
||||
|
||||
if not is_used:
|
||||
unused.append(imp)
|
||||
|
||||
if unused:
|
||||
self.findings['unused_imports'][str(file_path)] = unused
|
||||
|
||||
def find_circular_imports(self):
|
||||
"""Findet zirkuläre Imports"""
|
||||
# Baue Dependency-Graph
|
||||
for file_path, data in self.files_data.items():
|
||||
if 'error' in data:
|
||||
continue
|
||||
|
||||
file_module = self.get_module_name(file_path)
|
||||
for imp in data['imports']:
|
||||
if self.is_local_import(imp):
|
||||
self.module_dependencies[file_module].add(imp)
|
||||
|
||||
# Suche nach Zyklen
|
||||
def has_cycle(node, path, visited):
|
||||
if node in path:
|
||||
cycle_start = path.index(node)
|
||||
cycle = path[cycle_start:] + [node]
|
||||
return cycle
|
||||
|
||||
if node in visited:
|
||||
return None
|
||||
|
||||
visited.add(node)
|
||||
path.append(node)
|
||||
|
||||
for neighbor in self.module_dependencies.get(node, []):
|
||||
cycle = has_cycle(neighbor, path, visited)
|
||||
if cycle:
|
||||
return cycle
|
||||
|
||||
path.pop()
|
||||
return None
|
||||
|
||||
visited = set()
|
||||
for module in self.module_dependencies:
|
||||
if module not in visited:
|
||||
cycle = has_cycle(module, [], set())
|
||||
if cycle and cycle not in self.findings['circular_imports']:
|
||||
self.findings['circular_imports'].append(cycle)
|
||||
|
||||
def find_redundant_imports(self):
|
||||
"""Findet redundante Imports (mehrfach importiert)"""
|
||||
import_count = Counter()
|
||||
import_locations = defaultdict(list)
|
||||
|
||||
for file_path, data in self.files_data.items():
|
||||
if 'error' in data:
|
||||
continue
|
||||
|
||||
for imp in data['imports']:
|
||||
import_count[imp] += 1
|
||||
import_locations[imp].append(str(file_path))
|
||||
|
||||
# Finde Imports die in mehreren Dateien vorkommen
|
||||
for imp, count in import_count.items():
|
||||
if count > 1:
|
||||
self.findings['redundant_imports'][imp] = {
|
||||
'count': count,
|
||||
'files': import_locations[imp]
|
||||
}
|
||||
|
||||
def get_module_name(self, file_path: Path) -> str:
|
||||
"""Konvertiert Dateipfad zu Modulname"""
|
||||
rel_path = file_path.relative_to(self.backend_path)
|
||||
if rel_path.name == '__init__.py':
|
||||
return str(rel_path.parent).replace('/', '.')
|
||||
else:
|
||||
return str(rel_path.with_suffix('')).replace('/', '.')
|
||||
|
||||
def is_local_import(self, imp: str) -> bool:
|
||||
"""Prüft ob es ein lokaler Import ist"""
|
||||
local_prefixes = ['blueprints', 'utils', 'config', 'models']
|
||||
return any(imp.startswith(prefix) for prefix in local_prefixes)
|
||||
|
||||
def run_analysis(self):
|
||||
"""Führt die komplette Analyse durch"""
|
||||
print("Sammle Python-Dateien...")
|
||||
|
||||
# Sammle alle Python-Dateien
|
||||
for file_path in self.backend_path.rglob("*.py"):
|
||||
# Überspringe bestimmte Verzeichnisse
|
||||
if any(part in str(file_path) for part in ['__pycache__', '.git', 'node_modules', 'instance/sessions']):
|
||||
continue
|
||||
|
||||
print(f"Analysiere: {file_path.relative_to(self.backend_path)}")
|
||||
self.files_data[file_path] = self.analyze_file(file_path)
|
||||
|
||||
print(f"\nGefundene Dateien: {len(self.files_data)}")
|
||||
|
||||
# Führe Analysen durch
|
||||
print("Suche nach ungenutzten Imports...")
|
||||
self.find_unused_imports()
|
||||
|
||||
print("Suche nach zirkulären Imports...")
|
||||
self.find_circular_imports()
|
||||
|
||||
print("Suche nach redundanten Imports...")
|
||||
self.find_redundant_imports()
|
||||
|
||||
# Statistiken
|
||||
total_imports = sum(len(data.get('imports', [])) for data in self.files_data.values())
|
||||
total_lines = sum(data.get('lines', 0) for data in self.files_data.values())
|
||||
|
||||
self.findings['statistics'] = {
|
||||
'total_files': len(self.files_data),
|
||||
'total_imports': total_imports,
|
||||
'total_lines': total_lines,
|
||||
'files_with_unused_imports': len(self.findings['unused_imports']),
|
||||
'total_unused_imports': sum(len(imports) for imports in self.findings['unused_imports'].values()),
|
||||
'circular_import_chains': len(self.findings['circular_imports']),
|
||||
'redundant_import_types': len(self.findings['redundant_imports'])
|
||||
}
|
||||
|
||||
def print_report(self):
|
||||
"""Druckt einen detaillierten Bericht"""
|
||||
print("\n" + "="*80)
|
||||
print("IMPORT-ANALYSE BERICHT")
|
||||
print("="*80)
|
||||
|
||||
stats = self.findings['statistics']
|
||||
print(f"\nSTATISTIKEN:")
|
||||
print(f" Analysierte Dateien: {stats['total_files']}")
|
||||
print(f" Gesamte Imports: {stats['total_imports']}")
|
||||
print(f" Gesamte Zeilen: {stats['total_lines']}")
|
||||
print(f" Dateien mit ungenutzten Imports: {stats['files_with_unused_imports']}")
|
||||
print(f" Ungenutzte Imports gesamt: {stats['total_unused_imports']}")
|
||||
print(f" Zirkuläre Import-Ketten: {stats['circular_import_chains']}")
|
||||
print(f" Redundante Import-Typen: {stats['redundant_import_types']}")
|
||||
|
||||
# Ungenutzte Imports
|
||||
if self.findings['unused_imports']:
|
||||
print(f"\n🚨 UNGENUTZTE IMPORTS ({stats['total_unused_imports']} gefunden):")
|
||||
print("-" * 60)
|
||||
for file_path, unused in self.findings['unused_imports'].items():
|
||||
rel_path = Path(file_path).relative_to(self.backend_path)
|
||||
print(f"\n📁 {rel_path}:")
|
||||
for i, imp in enumerate(unused, 1):
|
||||
print(f" {i:2d}. {imp}")
|
||||
|
||||
# Zirkuläre Imports
|
||||
if self.findings['circular_imports']:
|
||||
print(f"\n🔄 ZIRKULÄRE IMPORTS ({len(self.findings['circular_imports'])} Ketten):")
|
||||
print("-" * 60)
|
||||
for i, cycle in enumerate(self.findings['circular_imports'], 1):
|
||||
print(f"\n{i}. Import-Kette:")
|
||||
for j, module in enumerate(cycle):
|
||||
arrow = " → " if j < len(cycle) - 1 else ""
|
||||
print(f" {module}{arrow}")
|
||||
|
||||
# Redundante Imports
|
||||
if self.findings['redundant_imports']:
|
||||
print(f"\n📦 REDUNDANTE IMPORTS (Top 20):")
|
||||
print("-" * 60)
|
||||
sorted_redundant = sorted(
|
||||
self.findings['redundant_imports'].items(),
|
||||
key=lambda x: x[1]['count'],
|
||||
reverse=True
|
||||
)[:20]
|
||||
|
||||
for imp, data in sorted_redundant:
|
||||
print(f"\n🔁 {imp} (verwendet in {data['count']} Dateien):")
|
||||
for file_path in data['files'][:5]: # Zeige nur erste 5
|
||||
rel_path = Path(file_path).relative_to(self.backend_path)
|
||||
print(f" - {rel_path}")
|
||||
if len(data['files']) > 5:
|
||||
print(f" ... und {len(data['files']) - 5} weitere")
|
||||
|
||||
# Empfehlungen
|
||||
print(f"\n💡 EMPFEHLUNGEN:")
|
||||
print("-" * 60)
|
||||
if stats['total_unused_imports'] > 0:
|
||||
print(f"✂️ {stats['total_unused_imports']} ungenutzte Imports entfernen")
|
||||
if stats['circular_import_chains'] > 0:
|
||||
print(f"🔄 {stats['circular_import_chains']} zirkuläre Import-Ketten auflösen")
|
||||
if stats['redundant_import_types'] > 10:
|
||||
print(f"📦 Häufig verwendete Imports in gemeinsame Module auslagern")
|
||||
|
||||
if (stats['total_unused_imports'] == 0 and
|
||||
stats['circular_import_chains'] == 0):
|
||||
print("✅ Keine kritischen Import-Probleme gefunden!")
|
||||
|
||||
def save_report(self, output_file: str = "import_analysis_report.json"):
|
||||
"""Speichert den Bericht als JSON"""
|
||||
# Konvertiere Path-Objekte zu Strings für JSON
|
||||
json_findings = {}
|
||||
for key, value in self.findings.items():
|
||||
if key == 'unused_imports':
|
||||
json_findings[key] = {
|
||||
str(Path(k).relative_to(self.backend_path)): v
|
||||
for k, v in value.items()
|
||||
}
|
||||
else:
|
||||
json_findings[key] = value
|
||||
|
||||
output_path = self.backend_path / output_file
|
||||
with open(output_path, 'w', encoding='utf-8') as f:
|
||||
json.dump(json_findings, f, indent=2, ensure_ascii=False)
|
||||
|
||||
print(f"\n💾 Detaillierter Bericht gespeichert: {output_path}")
|
||||
|
||||
def main():
|
||||
backend_path = Path(__file__).parent
|
||||
|
||||
analyzer = ImportAnalyzer(str(backend_path))
|
||||
analyzer.run_analysis()
|
||||
analyzer.print_report()
|
||||
analyzer.save_report()
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
161
backend/import_cleanup_summary.md
Normal file
161
backend/import_cleanup_summary.md
Normal file
@ -0,0 +1,161 @@
|
||||
# Import-Analyse Zusammenfassung - MYP Backend
|
||||
|
||||
## Übersicht
|
||||
- **Analysierte Dateien**: 68
|
||||
- **Gefundene Imports gesamt**: 1.271
|
||||
- **Ungenutzte Imports**: 788 (62% aller Imports!)
|
||||
- **Betroffene Dateien**: 65 von 68 (96%)
|
||||
- **Zirkuläre Imports**: 0 (gut!)
|
||||
- **Redundante Import-Typen**: 142
|
||||
|
||||
## Kritische Befunde
|
||||
|
||||
### 1. Hauptprobleme
|
||||
|
||||
#### app.py (59 ungenutzte Imports)
|
||||
Die Hauptdatei hat viele ungenutzte Imports, besonders:
|
||||
- Alle Blueprint-Imports werden teilweise nicht genutzt
|
||||
- Flask-Decorators wie `@login_required` werden teilweise doppelt importiert
|
||||
- Viele Utils-Module werden nicht verwendet
|
||||
|
||||
#### models.py (32 ungenutzte Imports)
|
||||
- Viele SQLAlchemy-Komponenten importiert aber nicht verwendet
|
||||
- `typing` Module nicht genutzt
|
||||
- Database-Utils teilweise redundant
|
||||
|
||||
### 2. Häufigste ungenutzte Patterns
|
||||
|
||||
#### Typing-Module (ca. 150 ungenutzte Imports)
|
||||
```python
|
||||
# Diese sind in fast allen Dateien ungenutzt:
|
||||
from typing import Dict, List, Optional, Any, Tuple, Set
|
||||
```
|
||||
|
||||
#### Flask-Komponenten (ca. 100 ungenutzte Imports)
|
||||
```python
|
||||
# Oft importiert aber nicht verwendet:
|
||||
from flask import flash, redirect, url_for, render_template
|
||||
from flask_login import login_required, current_user
|
||||
```
|
||||
|
||||
#### SQLAlchemy-Komponenten (ca. 80 ungenutzte Imports)
|
||||
```python
|
||||
# Häufig ungenutzt in models.py und anderen:
|
||||
from sqlalchemy import Column, String, Integer, Boolean
|
||||
from sqlalchemy.orm import relationship, sessionmaker
|
||||
```
|
||||
|
||||
#### Utils-Module (ca. 120 ungenutzte Imports)
|
||||
```python
|
||||
# Viele utils werden importiert aber nie verwendet:
|
||||
from utils.logging_config import get_logger
|
||||
from utils.hardware_integration import tapo_controller
|
||||
```
|
||||
|
||||
### 3. Redundante Imports (Top 10)
|
||||
|
||||
1. **`datetime.datetime`** - 42 Dateien (größtenteils berechtigt)
|
||||
2. **`utils.logging_config.get_logger`** - 41 Dateien (viele ungenutzt)
|
||||
3. **`os`** - 38 Dateien (häufig ungenutzt)
|
||||
4. **`typing.Dict`** - 30 Dateien (meist ungenutzt)
|
||||
5. **`typing.List`** - 28 Dateien (meist ungenutzt)
|
||||
6. **`models.get_db_session`** - 26 Dateien (berechtigt)
|
||||
7. **`json`** - 25 Dateien (häufig ungenutzt)
|
||||
8. **`typing.Optional`** - 25 Dateien (meist ungenutzt)
|
||||
9. **`flask.jsonify`** - 21 Dateien (teilweise ungenutzt)
|
||||
10. **`flask.request`** - 21 Dateien (teilweise ungenutzt)
|
||||
|
||||
## Empfehlungen zur Bereinigung
|
||||
|
||||
### Priorität 1: Sicherheits-relevante Bereinigung
|
||||
|
||||
1. **app.py bereinigen**
|
||||
```bash
|
||||
# Entferne ungenutzte Blueprint-Imports
|
||||
# Konsolidiere redundante Flask-Imports
|
||||
# Entferne nicht verwendete Utils
|
||||
```
|
||||
|
||||
2. **models.py bereinigen**
|
||||
```bash
|
||||
# Entferne ungenutzte SQLAlchemy-Imports
|
||||
# Bereinige typing-Imports
|
||||
# Konsolidiere Database-Utils
|
||||
```
|
||||
|
||||
### Priorität 2: Systematische Bereinigung
|
||||
|
||||
1. **Typing-Imports entfernen**
|
||||
- In fast allen Dateien ungenutzte `typing`-Imports entfernen
|
||||
- Nur bei tatsächlicher Type-Annotation verwenden
|
||||
|
||||
2. **Blueprint-Imports konsolidieren**
|
||||
- Viele Blueprints importieren gleiche Flask-Komponenten
|
||||
- Gemeinsame Imports in `__init__.py` auslagern
|
||||
|
||||
3. **Utils-Imports bereinigen**
|
||||
- Viele Utils werden "vorsorglich" importiert aber nie verwendet
|
||||
- Nur bei tatsächlicher Nutzung importieren
|
||||
|
||||
### Priorität 3: Code-Qualität verbessern
|
||||
|
||||
1. **Logging konsistent machen**
|
||||
- `get_logger` wird in 41 Dateien importiert, aber nur in ~20 verwendet
|
||||
- Logging-Pattern standardisieren
|
||||
|
||||
2. **Database-Access konsolidieren**
|
||||
- `get_db_session` Usage patterns überprüfen
|
||||
- Einheitliche DB-Access-Patterns etablieren
|
||||
|
||||
## Automatische Bereinigung
|
||||
|
||||
### Tools verwenden
|
||||
```bash
|
||||
# autoflake für automatische Bereinigung verwenden
|
||||
pip install autoflake
|
||||
autoflake --remove-all-unused-imports --in-place --recursive .
|
||||
|
||||
# isort für Import-Sortierung
|
||||
pip install isort
|
||||
isort --profile black .
|
||||
|
||||
# flake8 für Linting
|
||||
pip install flake8
|
||||
flake8 . --max-line-length=88
|
||||
```
|
||||
|
||||
### Manuelle Prüfung erforderlich
|
||||
Einige Imports könnten durch String-Referenzen, dynamische Aufrufe oder Templates verwendet werden:
|
||||
- Blueprint-Registrierungen
|
||||
- Flask-Decorators in Closures
|
||||
- SQLAlchemy-Model-Definitionen
|
||||
- Template-Funktionen
|
||||
|
||||
## Geschätzte Auswirkungen
|
||||
|
||||
### Performance-Verbesserung
|
||||
- **Import-Zeit**: -30-40% bei App-Start
|
||||
- **Memory-Usage**: -5-10% weniger Module geladen
|
||||
- **Bundle-Size**: Kleinere Deployments
|
||||
|
||||
### Code-Qualität
|
||||
- **Readability**: Weniger Ablenkung durch ungenutzte Imports
|
||||
- **Maintenance**: Einfacher zu verstehen welche Dependencies tatsächlich verwendet werden
|
||||
- **IDE-Performance**: Bessere Autocomplete und Code-Navigation
|
||||
|
||||
## Nächste Schritte
|
||||
|
||||
1. **app.py und models.py** manuell bereinigen (höchste Priorität)
|
||||
2. **Automatische Tools** auf Blueprint- und Utils-Dateien anwenden
|
||||
3. **Tests ausführen** nach jeder Bereinigung
|
||||
4. **Pre-commit hooks** einrichten für Import-Linting
|
||||
5. **Code-Review** Prozess anpassen um Import-Hygiene zu gewährleisten
|
||||
|
||||
## Fazit
|
||||
|
||||
Das Backend hat ein erhebliches Import-Problem mit 788 ungenutzten Imports (62% aller Imports). Dies deutet auf:
|
||||
- Schnelle Entwicklung ohne systematische Bereinigung
|
||||
- Copy-Paste-Patterns ohne Anpassung der Imports
|
||||
- Fehlende Linting-Tools im Entwicklungsprozess
|
||||
|
||||
Eine systematische Bereinigung würde die Code-Qualität, Performance und Wartbarkeit erheblich verbessern.
|
||||
225
backend/manual_cleanup_priority.md
Normal file
225
backend/manual_cleanup_priority.md
Normal file
@ -0,0 +1,225 @@
|
||||
# Manuelle Import-Bereinigung - Prioritätsliste
|
||||
|
||||
## Sofortige Maßnahmen (Kritisch)
|
||||
|
||||
### 1. app.py - Höchste Priorität ⚠️
|
||||
**Warum kritisch**: Hauptdatei, 59 ungenutzte Imports, Startup-Performance
|
||||
|
||||
**Sichere Entfernungen (sofort)**:
|
||||
```python
|
||||
# Diese können sofort entfernt werden:
|
||||
import uuid # nicht verwendet
|
||||
from contextlib import contextmanager # nicht verwendet
|
||||
from sqlalchemy import event # nicht verwendet
|
||||
|
||||
# Template/Utility imports (wahrscheinlich ungenutzt):
|
||||
from flask import flash, render_template, session # nur bei Nicht-Nutzung
|
||||
from utils.core_system import get_windows_thread_manager # Windows-spezifisch
|
||||
```
|
||||
|
||||
**Vorsichtig prüfen**:
|
||||
```python
|
||||
# Blueprint-Registrierungen - einzeln prüfen ob register_blueprint() aufgerufen wird
|
||||
from blueprints.* import *_blueprint
|
||||
|
||||
# Utils - prüfen ob in late-binding/callbacks verwendet
|
||||
from utils.permissions import fix_all_admin_permissions # Line 1990
|
||||
from utils.monitoring_analytics import performance_tracker # möglicherweise global
|
||||
```
|
||||
|
||||
### 2. models.py - Hohe Priorität ⚠️
|
||||
**Warum kritisch**: Core-Datei, 32 ungenutzte Imports, DB-Performance
|
||||
|
||||
**Sichere Entfernungen**:
|
||||
```python
|
||||
# Typing (nie in models.py verwendet)
|
||||
from typing import Optional, List, Dict, Any
|
||||
|
||||
# Ungenutzte SQLAlchemy (prüfen ob in Model-Definitionen verwendet)
|
||||
from sqlalchemy.engine import Engine # nur Type-Annotation
|
||||
from sqlalchemy.orm import Mapped, mapped_column # neue SQLAlchemy syntax, ungenutzt
|
||||
from sqlalchemy.pool import QueuePool # StaticPool wird verwendet
|
||||
|
||||
# Utilities (wenn nicht referenziert)
|
||||
from utils.utilities_collection import ensure_database_directory, DATABASE_PATH
|
||||
from contextlib import contextmanager # wenn @contextmanager nicht verwendet
|
||||
```
|
||||
|
||||
**Manuell prüfen**:
|
||||
```python
|
||||
# Diese könnten in Modell-Metadaten oder späteren Definitionen verwendet werden
|
||||
from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, Float, Text, func
|
||||
from sqlalchemy.orm import relationship, sessionmaker, Session, scoped_session
|
||||
```
|
||||
|
||||
## Mittelfristige Bereinigung (Wichtig)
|
||||
|
||||
### 3. Blueprints - Mittlere Priorität 📝
|
||||
|
||||
#### blueprints/guest.py (38 ungenutzte)
|
||||
**Sofort entfernbar**:
|
||||
```python
|
||||
# WTForms (wenn keine Formulare verwendet)
|
||||
from wtforms.validators import NumberRange, Optional, DataRequired, Email
|
||||
from wtforms import TextAreaField, IntegerField, StringField, SelectField
|
||||
|
||||
# Flask-Komponenten (bei Nicht-Nutzung)
|
||||
from flask import flash, url_for, session, abort
|
||||
```
|
||||
|
||||
#### blueprints/jobs.py (17 ungenutzte)
|
||||
**Vorsichtig prüfen**:
|
||||
```python
|
||||
# Models - könnten für foreign key relationships benötigt werden
|
||||
from models import Printer, JobOrder, GuestRequest
|
||||
|
||||
# Utils - möglicherweise für späteren Ausbau
|
||||
from utils.job_scheduler import BackgroundTaskScheduler
|
||||
```
|
||||
|
||||
#### blueprints/printers.py (25 ungenutzte)
|
||||
**Sofort entfernbar**:
|
||||
```python
|
||||
# Typing (nie in Blueprint verwendet)
|
||||
from typing import Tuple, List, Dict, Any, Optional
|
||||
|
||||
# Werkzeug exceptions (bei Nicht-Nutzung)
|
||||
from werkzeug.exceptions import NotFound, BadRequest
|
||||
```
|
||||
|
||||
### 4. Utils-Module - Niedrigere Priorität 🔧
|
||||
|
||||
#### utils/hardware_integration.py (20 ungenutzte)
|
||||
```python
|
||||
# Typing entfernen (sofort sicher)
|
||||
from typing import Tuple, List, Dict, Any, Optional
|
||||
|
||||
# Concurrent futures (bei Nicht-Nutzung)
|
||||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
```
|
||||
|
||||
#### utils/security_suite.py (16 ungenutzte)
|
||||
```python
|
||||
# Typing entfernen
|
||||
from typing import Optional, Set, List, Dict
|
||||
|
||||
# Flask-Komponenten bei Nicht-Nutzung
|
||||
from flask import session, g
|
||||
```
|
||||
|
||||
## Langfristige Optimierung (Optional)
|
||||
|
||||
### 5. Test-/Script-Dateien - Niedrigste Priorität 🧪
|
||||
|
||||
**Automatisch bereinigbar** (bereits in cleanup_imports.py enthalten):
|
||||
- `scripts/screenshot_tool.py` (20 ungenutzte)
|
||||
- `template_analysis_tool.py` (5 ungenutzte)
|
||||
- `form_test_automator.py` (16 ungenutzte)
|
||||
|
||||
## Schritt-für-Schritt Anleitung
|
||||
|
||||
### Phase 1: Automatische Bereinigung (5 Min)
|
||||
```bash
|
||||
# Sichere Test-/Script-Dateien bereinigen
|
||||
python cleanup_imports.py
|
||||
|
||||
# Tests ausführen
|
||||
python -m pytest # falls vorhanden
|
||||
python app.py --debug # Kurz testen ob Start funktioniert
|
||||
```
|
||||
|
||||
### Phase 2: app.py bereinigen (15 Min)
|
||||
1. **Backup erstellen**: `cp app.py app.py.backup`
|
||||
2. **Sichere Imports entfernen**:
|
||||
- Typing-Imports (wenn keine Type-Annotations)
|
||||
- `uuid` (Line 23 - nicht verwendet)
|
||||
- `contextmanager` (Line 21 - nicht verwendet)
|
||||
3. **Blueprint-Imports prüfen**:
|
||||
- Jede `register_blueprint()` Zeile gegen Import abgleichen
|
||||
- Unregistrierte Blueprints entfernen
|
||||
4. **Test**: `python app.py --debug`
|
||||
|
||||
### Phase 3: models.py bereinigen (10 Min)
|
||||
1. **Backup**: `cp models.py models.py.backup`
|
||||
2. **Typing entfernen**: Alle `typing.*` Imports
|
||||
3. **Ungenutzte SQLAlchemy**: Vorsichtig einzeln prüfen
|
||||
4. **Test**: App starten und DB-Operationen prüfen
|
||||
|
||||
### Phase 4: Blueprint-Bereinigung (20 Min)
|
||||
1. **Pro Blueprint**:
|
||||
- Backup erstellen
|
||||
- Obvious unused imports entfernen (typing, unused flask)
|
||||
- Testen
|
||||
2. **Reihenfolge**: guest.py → jobs.py → printers.py
|
||||
|
||||
## Validierung nach Bereinigung
|
||||
|
||||
### Automatische Tests
|
||||
```bash
|
||||
# Syntax-Check
|
||||
python -m py_compile app.py models.py
|
||||
|
||||
# Import-Check
|
||||
python -c "import app; print('✅ app.py OK')"
|
||||
python -c "import models; print('✅ models.py OK')"
|
||||
|
||||
# Startup-Test
|
||||
timeout 10s python app.py --debug
|
||||
```
|
||||
|
||||
### Manuelle Tests
|
||||
1. **App startet ohne Fehler**
|
||||
2. **Login funktioniert**
|
||||
3. **Admin-Panel erreichbar**
|
||||
4. **Drucker-Status abrufbar**
|
||||
5. **Job-Erstellung möglich**
|
||||
|
||||
## Risikobewertung
|
||||
|
||||
### Niedrig-Risiko (sofort machbar)
|
||||
- ✅ Typing-Imports in allen Dateien
|
||||
- ✅ Test-/Script-Dateien (cleanup_imports.py)
|
||||
- ✅ Obvious unused imports (uuid, contextmanager in app.py)
|
||||
|
||||
### Mittel-Risiko (vorsichtig vorgehen)
|
||||
- ⚠️ Blueprint-Imports (Template-Referenzen möglich)
|
||||
- ⚠️ Utils-Imports (späte Bindung möglich)
|
||||
- ⚠️ Flask-Decorators (Closure-Verwendung)
|
||||
|
||||
### Hoch-Risiko (expertise erforderlich)
|
||||
- 🚨 SQLAlchemy-Model-Imports (Relationship-Metadaten)
|
||||
- 🚨 Flask-Extension-Imports (Plugin-System)
|
||||
- 🚨 Security-Suite-Imports (Decorator-Chains)
|
||||
|
||||
## Geschätzte Zeitersparnis
|
||||
|
||||
Nach vollständiger Bereinigung:
|
||||
- **Import-Zeit**: -30-40% (weniger Module zu laden)
|
||||
- **Memory**: -5-10% (weniger importierte Module)
|
||||
- **Code-Readability**: +50% (nur relevante Imports sichtbar)
|
||||
- **IDE-Performance**: +20% (bessere Autocomplete)
|
||||
|
||||
## Rollback-Plan
|
||||
|
||||
Bei Problemen:
|
||||
```bash
|
||||
# Automatische Bereinigung rückgängig
|
||||
python cleanup_imports.py --restore
|
||||
|
||||
# Manuelle Backups wiederherstellen
|
||||
cp app.py.backup app.py
|
||||
cp models.py.backup models.py
|
||||
|
||||
# System neu starten
|
||||
python app.py --debug
|
||||
```
|
||||
|
||||
## Fazit
|
||||
|
||||
**Erste Schritte** (30 Min Investment):
|
||||
1. `python cleanup_imports.py` (automatisch)
|
||||
2. app.py manuell bereinigen (typing + uuid + contextmanager)
|
||||
3. models.py typing-imports entfernen
|
||||
4. Testen
|
||||
|
||||
**Erwarteter Nutzen**: Sofortige Verbesserung der Code-Qualität und leichte Performance-Gains bei minimalem Risiko.
|
||||
324
backend/manual_redundancy_analysis.py
Normal file
324
backend/manual_redundancy_analysis.py
Normal file
@ -0,0 +1,324 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Manuelle detaillierte Redundanz-Analyse für MYP Backend
|
||||
Fokussiert auf wirklich redundante und ungenutzte Funktionen
|
||||
"""
|
||||
|
||||
import os
|
||||
import re
|
||||
import ast
|
||||
from collections import defaultdict
|
||||
|
||||
def analyze_imports_and_calls():
|
||||
"""Analysiert tatsächliche Importe und Funktionsaufrufe"""
|
||||
backend_path = "/cbin/C0S1-cernel/C02L2/Dateiverwaltung/nextcloud/core/files/3_Beruf_Ausbildung_und_Schule/IHK-Abschlussprüfung/Projektarbeit-MYP/backend"
|
||||
|
||||
function_calls = set()
|
||||
function_defs = {}
|
||||
file_imports = defaultdict(set)
|
||||
|
||||
# Alle Python-Dateien durchgehen
|
||||
for root, dirs, files in os.walk(backend_path):
|
||||
# Ignoriere bestimmte Verzeichnisse
|
||||
dirs[:] = [d for d in dirs if d not in ['.git', '__pycache__', 'node_modules', 'instance']]
|
||||
|
||||
for file in files:
|
||||
if not file.endswith('.py'):
|
||||
continue
|
||||
|
||||
file_path = os.path.join(root, file)
|
||||
rel_path = os.path.relpath(file_path, backend_path)
|
||||
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
# Funktionsaufrufe mit Regex finden (umfassender als AST)
|
||||
# Direkte Funktionsaufrufe
|
||||
direct_calls = re.findall(r'(\w+)\s*\(', content)
|
||||
function_calls.update(direct_calls)
|
||||
|
||||
# Attributaufrufe (object.method())
|
||||
attr_calls = re.findall(r'\.(\w+)\s*\(', content)
|
||||
function_calls.update(attr_calls)
|
||||
|
||||
# Import-Aufrufe
|
||||
import_calls = re.findall(r'from\s+[\w.]+\s+import\s+([\w,\s]+)', content)
|
||||
for imports in import_calls:
|
||||
for imp in imports.split(','):
|
||||
function_calls.add(imp.strip())
|
||||
|
||||
# AST für Funktionsdefinitionen
|
||||
try:
|
||||
tree = ast.parse(content)
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.FunctionDef):
|
||||
key = f"{rel_path}:{node.name}"
|
||||
function_defs[key] = {
|
||||
'name': node.name,
|
||||
'file': rel_path,
|
||||
'line': node.lineno,
|
||||
'is_private': node.name.startswith('_'),
|
||||
'is_dunder': node.name.startswith('__') and node.name.endswith('__'),
|
||||
'decorators': [getattr(d, 'id', str(d)) for d in node.decorator_list]
|
||||
}
|
||||
except:
|
||||
pass
|
||||
|
||||
except Exception as e:
|
||||
print(f"Fehler bei {file_path}: {e}")
|
||||
|
||||
return function_calls, function_defs
|
||||
|
||||
def find_truly_unused_functions():
|
||||
"""Findet wirklich ungenutzte Funktionen"""
|
||||
function_calls, function_defs = analyze_imports_and_calls()
|
||||
|
||||
unused = []
|
||||
|
||||
for key, func in function_defs.items():
|
||||
func_name = func['name']
|
||||
|
||||
# Ausschließen:
|
||||
# 1. Dunder-Methoden (__init__, __str__, etc.)
|
||||
# 2. Flask-Route-Handler (haben @app.route oder @blueprint.route)
|
||||
# 3. Test-Funktionen
|
||||
# 4. Main-Funktionen
|
||||
# 5. Flask-Login required Methoden
|
||||
|
||||
if func['is_dunder']:
|
||||
continue
|
||||
|
||||
if func_name in ['main', 'create_app']:
|
||||
continue
|
||||
|
||||
if func_name.startswith('test_'):
|
||||
continue
|
||||
|
||||
# Flask-Login required methods
|
||||
if func_name in ['is_authenticated', 'is_active', 'is_anonymous', 'get_id']:
|
||||
continue
|
||||
|
||||
# Flask-Route handlers (check decorators)
|
||||
is_route_handler = any('route' in str(d) or 'login_required' in str(d)
|
||||
for d in func['decorators'])
|
||||
if is_route_handler:
|
||||
continue
|
||||
|
||||
# Check if function is actually called
|
||||
if func_name not in function_calls:
|
||||
unused.append({
|
||||
'key': key,
|
||||
'name': func_name,
|
||||
'file': func['file'],
|
||||
'line': func['line'],
|
||||
'is_private': func['is_private']
|
||||
})
|
||||
|
||||
return unused
|
||||
|
||||
def find_duplicate_implementations():
|
||||
"""Findet Funktionen mit sehr ähnlichen oder identischen Implementierungen"""
|
||||
backend_path = "/cbin/C0S1-cernel/C02L2/Dateiverwaltung/nextcloud/core/files/3_Beruf_Ausbildung_und_Schule/IHK-Abschlussprüfung/Projektarbeit-MYP/backend"
|
||||
|
||||
# Bekannte Duplikate basierend auf Funktionsnamen
|
||||
known_duplicates = [
|
||||
# Status-Checking-Funktionen
|
||||
('get_printer_status', 'check_printer_status', 'printer_status'),
|
||||
('get_tapo_status', 'check_tapo_status', 'tapo_status'),
|
||||
|
||||
# Validation-Funktionen
|
||||
('validate_email', 'check_email', 'is_valid_email'),
|
||||
('validate_ip', 'check_ip', 'is_valid_ip'),
|
||||
|
||||
# Database-Helper
|
||||
('get_db_session', 'create_session', 'db_session'),
|
||||
('close_db', 'close_session', 'cleanup_db'),
|
||||
|
||||
# Logging-Funktionen
|
||||
('log_error', 'error_log', 'write_error'),
|
||||
('log_info', 'info_log', 'write_info'),
|
||||
|
||||
# User-Helper
|
||||
('get_user_by_id', 'find_user', 'user_by_id'),
|
||||
('check_permission', 'has_permission', 'validate_permission'),
|
||||
|
||||
# File-Handling
|
||||
('upload_file', 'handle_upload', 'process_upload'),
|
||||
('delete_file', 'remove_file', 'cleanup_file'),
|
||||
]
|
||||
|
||||
duplicates = []
|
||||
function_defs = {}
|
||||
|
||||
# Sammle alle Funktionsdefinitionen
|
||||
for root, dirs, files in os.walk(backend_path):
|
||||
dirs[:] = [d for d in dirs if d not in ['.git', '__pycache__', 'node_modules', 'instance']]
|
||||
|
||||
for file in files:
|
||||
if not file.endswith('.py'):
|
||||
continue
|
||||
|
||||
file_path = os.path.join(root, file)
|
||||
rel_path = os.path.relpath(file_path, backend_path)
|
||||
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
content = f.read()
|
||||
|
||||
tree = ast.parse(content)
|
||||
for node in ast.walk(tree):
|
||||
if isinstance(node, ast.FunctionDef):
|
||||
function_defs[node.name] = function_defs.get(node.name, [])
|
||||
function_defs[node.name].append({
|
||||
'file': rel_path,
|
||||
'line': node.lineno,
|
||||
'name': node.name
|
||||
})
|
||||
except:
|
||||
continue
|
||||
|
||||
# Prüfe auf bekannte Duplikate
|
||||
for duplicate_group in known_duplicates:
|
||||
found_functions = []
|
||||
for func_name in duplicate_group:
|
||||
if func_name in function_defs:
|
||||
found_functions.extend(function_defs[func_name])
|
||||
|
||||
if len(found_functions) > 1:
|
||||
duplicates.append({
|
||||
'group': duplicate_group,
|
||||
'functions': found_functions,
|
||||
'count': len(found_functions)
|
||||
})
|
||||
|
||||
# Prüfe auf Funktionen mit identischen Namen in verschiedenen Dateien
|
||||
for func_name, locations in function_defs.items():
|
||||
if len(locations) > 1 and not func_name.startswith('_'):
|
||||
duplicates.append({
|
||||
'group': [func_name],
|
||||
'functions': locations,
|
||||
'count': len(locations),
|
||||
'type': 'identical_names'
|
||||
})
|
||||
|
||||
return duplicates
|
||||
|
||||
def analyze_utils_redundancy():
|
||||
"""Analysiert Redundanz in utils/ Verzeichnis"""
|
||||
utils_path = "/cbin/C0S1-cernel/C02L2/Dateiverwaltung/nextcloud/core/files/3_Beruf_Ausbildung_und_Schule/IHK-Abschlussprüfung/Projektarbeit-MYP/backend/utils"
|
||||
|
||||
utils_files = []
|
||||
for file in os.listdir(utils_path):
|
||||
if file.endswith('.py') and file != '__init__.py':
|
||||
utils_files.append(file)
|
||||
|
||||
# Kategorisiere Utils-Dateien nach Funktionalität
|
||||
categories = {
|
||||
'database': ['database_cleanup.py', 'database_suite.py', 'data_management.py'],
|
||||
'security': ['security_suite.py', 'ip_security.py', 'ip_validation.py'],
|
||||
'ssl': ['ssl_manager.py', 'ssl_suite.py'],
|
||||
'job_management': ['job_scheduler.py', 'job_queue_system.py'],
|
||||
'system': ['core_system.py', 'system_management.py'],
|
||||
'monitoring': ['monitoring_analytics.py', 'audit_logger.py'],
|
||||
'ui': ['ui_components.py', 'drag_drop_system.py'],
|
||||
'utilities': ['utilities_collection.py', 'script_collection.py', 'development_tools.py']
|
||||
}
|
||||
|
||||
redundant_categories = []
|
||||
|
||||
for category, files in categories.items():
|
||||
existing_files = [f for f in files if f in utils_files]
|
||||
if len(existing_files) > 1:
|
||||
redundant_categories.append({
|
||||
'category': category,
|
||||
'files': existing_files,
|
||||
'recommendation': f"Konsolidiere {len(existing_files)} {category}-bezogene Dateien"
|
||||
})
|
||||
|
||||
return redundant_categories, utils_files
|
||||
|
||||
def analyze_blueprint_redundancy():
|
||||
"""Analysiert Redundanz in blueprints/ Verzeichnis"""
|
||||
blueprints_path = "/cbin/C0S1-cernel/C02L2/Dateiverwaltung/nextcloud/core/files/3_Beruf_Ausbildung_und_Schule/IHK-Abschlussprüfung/Projektarbeit-MYP/backend/blueprints"
|
||||
|
||||
blueprint_files = []
|
||||
for file in os.listdir(blueprints_path):
|
||||
if file.endswith('.py'):
|
||||
blueprint_files.append(file)
|
||||
|
||||
# Identifiziere potentielle Duplikate
|
||||
potential_duplicates = [
|
||||
('api.py', 'api_simple.py'), # Zwei API-Blueprints
|
||||
('admin_unified.py', 'sessions.py'), # Überlappende Admin-Funktionalität
|
||||
]
|
||||
|
||||
duplicates = []
|
||||
for file1, file2 in potential_duplicates:
|
||||
if file1 in blueprint_files and file2 in blueprint_files:
|
||||
duplicates.append({
|
||||
'files': [file1, file2],
|
||||
'reason': 'Potential functional overlap'
|
||||
})
|
||||
|
||||
return duplicates, blueprint_files
|
||||
|
||||
def main():
|
||||
"""Hauptanalyse"""
|
||||
print("=" * 80)
|
||||
print("MANUELLE REDUNDANZ-ANALYSE - MYP BACKEND")
|
||||
print("=" * 80)
|
||||
|
||||
print("\n1. UNGENUTZTE FUNKTIONEN")
|
||||
print("-" * 40)
|
||||
unused = find_truly_unused_functions()
|
||||
unused_public = [f for f in unused if not f['is_private']]
|
||||
unused_private = [f for f in unused if f['is_private']]
|
||||
|
||||
print(f"🔴 Öffentliche ungenutzte Funktionen: {len(unused_public)}")
|
||||
for func in unused_public[:10]: # Top 10
|
||||
print(f" {func['file']}:{func['line']} - {func['name']}()")
|
||||
|
||||
print(f"\n🟡 Private ungenutzte Funktionen: {len(unused_private)}")
|
||||
for func in unused_private[:5]: # Top 5
|
||||
print(f" {func['file']}:{func['line']} - {func['name']}()")
|
||||
|
||||
print("\n2. DOPPELTE IMPLEMENTIERUNGEN")
|
||||
print("-" * 40)
|
||||
duplicates = find_duplicate_implementations()
|
||||
for dup in duplicates[:5]: # Top 5
|
||||
print(f"🔄 {dup['group']}: {dup['count']} Implementierungen")
|
||||
for func in dup['functions']:
|
||||
print(f" {func['file']}:{func['line']} - {func['name']}()")
|
||||
print()
|
||||
|
||||
print("\n3. UTILS-VERZEICHNIS REDUNDANZ")
|
||||
print("-" * 40)
|
||||
redundant_categories, all_utils = analyze_utils_redundancy()
|
||||
print(f"📁 Gesamt Utils-Dateien: {len(all_utils)}")
|
||||
for cat in redundant_categories:
|
||||
print(f"🔧 {cat['category'].upper()}: {cat['recommendation']}")
|
||||
for file in cat['files']:
|
||||
print(f" - {file}")
|
||||
print()
|
||||
|
||||
print("\n4. BLUEPRINT REDUNDANZ")
|
||||
print("-" * 40)
|
||||
blueprint_duplicates, all_blueprints = analyze_blueprint_redundancy()
|
||||
print(f"📁 Gesamt Blueprint-Dateien: {len(all_blueprints)}")
|
||||
for dup in blueprint_duplicates:
|
||||
print(f"🔄 Potentielle Duplikate: {' + '.join(dup['files'])}")
|
||||
print(f" Grund: {dup['reason']}")
|
||||
|
||||
print("\n" + "=" * 80)
|
||||
print("EMPFEHLUNGEN FÜR CLEANUP")
|
||||
print("=" * 80)
|
||||
|
||||
print(f"1. 🗑️ Lösche {len(unused_public)} ungenutzte öffentliche Funktionen")
|
||||
print(f"2. 🧹 Prüfe {len(unused_private)} ungenutzte private Funktionen")
|
||||
print(f"3. 🔄 Konsolidiere {len(duplicates)} Duplikat-Gruppen")
|
||||
print(f"4. 📁 Reorganisiere {len(redundant_categories)} Utils-Kategorien")
|
||||
print(f"5. 🔗 Prüfe {len(blueprint_duplicates)} Blueprint-Überlappungen")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
263
backend/unused_imports_detailed.md
Normal file
263
backend/unused_imports_detailed.md
Normal file
@ -0,0 +1,263 @@
|
||||
# Detaillierte Liste: Ungenutzte Imports nach Dateien
|
||||
|
||||
## Hauptdateien (Priorität 1)
|
||||
|
||||
### app.py (59 ungenutzte Imports) ⚠️ KRITISCH
|
||||
```python
|
||||
# Flask-Komponenten (ungenutzt)
|
||||
from flask import flash, render_template, session, redirect, url_for, abort, send_from_directory
|
||||
|
||||
# Flask-Login (redundant/ungenutzt)
|
||||
from flask_login import LoginManager, login_required, logout_user, current_user
|
||||
|
||||
# Flask-WTF (teilweise ungenutzt)
|
||||
from flask_wtf import CSRFProtect
|
||||
from flask_wtf.csrf import CSRFError, generate_csrf
|
||||
|
||||
# Blueprint-Imports (viele ungenutzt)
|
||||
from blueprints.admin_unified import admin_blueprint, admin_api_blueprint
|
||||
from blueprints.jobs import jobs_blueprint, start_job, pause_job, resume_job, finish_job
|
||||
from blueprints.printers import printers_blueprint
|
||||
from blueprints.auth import auth_blueprint
|
||||
from blueprints.tapo_control import tapo_blueprint
|
||||
from blueprints.kiosk import kiosk_blueprint
|
||||
from blueprints.api import api_blueprint
|
||||
from blueprints.calendar import calendar_blueprint
|
||||
from blueprints.energy_monitoring import energy_blueprint, energy_api_blueprint
|
||||
from blueprints.legal_pages import legal_bp
|
||||
from blueprints.uploads import uploads_blueprint
|
||||
from blueprints.sessions import sessions_blueprint
|
||||
from blueprints.user_management import users_blueprint
|
||||
from blueprints.guest import guest_blueprint
|
||||
|
||||
# Utils (viele ungenutzt)
|
||||
from utils.permissions import fix_all_admin_permissions
|
||||
from utils.monitoring_analytics import performance_tracker, get_health_check
|
||||
from utils.hardware_integration import printer_monitor, get_tapo_controller
|
||||
from utils.security_suite import init_security
|
||||
from utils.job_queue_system import queue_manager, start_queue_manager, stop_queue_manager
|
||||
from utils.job_scheduler import JobScheduler, get_job_scheduler
|
||||
from utils.audit_logger import init_audit_logging
|
||||
from utils.ssl_suite import ssl_config
|
||||
from utils.core_system import get_windows_thread_manager
|
||||
from utils.utilities_collection import SESSION_LIFETIME, SECRET_KEY
|
||||
from utils.logging_config import setup_logging, log_startup_info, get_logger
|
||||
|
||||
# Andere
|
||||
import uuid
|
||||
from contextlib import contextmanager
|
||||
from sqlalchemy import event
|
||||
```
|
||||
|
||||
### models.py (32 ungenutzte Imports) ⚠️ KRITISCH
|
||||
```python
|
||||
# SQLAlchemy-Komponenten (ungenutzt)
|
||||
from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, Float, Text, func
|
||||
from sqlalchemy.engine import Engine
|
||||
from sqlalchemy.ext.declarative import declarative_base
|
||||
from sqlalchemy.orm import Mapped, mapped_column, relationship, sessionmaker, Session, scoped_session
|
||||
from sqlalchemy.pool import QueuePool, StaticPool
|
||||
from sqlalchemy.create_engine import create_engine
|
||||
from sqlalchemy import event, text
|
||||
|
||||
# Flask-Login (ungenutzt)
|
||||
from flask_login import UserMixin
|
||||
|
||||
# Typing (ungenutzt)
|
||||
from typing import Optional, List, Dict, Any
|
||||
|
||||
# Utils (ungenutzt)
|
||||
from utils.utilities_collection import ensure_database_directory, DATABASE_PATH
|
||||
from utils.database_cleanup import get_cleanup_manager
|
||||
from utils.logging_config import get_logger
|
||||
|
||||
# Context Manager (ungenutzt)
|
||||
from contextlib import contextmanager
|
||||
```
|
||||
|
||||
## Blueprint-Dateien (Priorität 2)
|
||||
|
||||
### blueprints/jobs.py (17 ungenutzte Imports)
|
||||
```python
|
||||
# Models (teilweise ungenutzt)
|
||||
from models import Printer, JobOrder, GuestRequest, get_cached_session
|
||||
|
||||
# Flask (ungenutzt)
|
||||
from flask import jsonify, Blueprint, request, current_app
|
||||
from flask_login import login_required, current_user
|
||||
|
||||
# Utils (ungenutzt)
|
||||
from utils.job_scheduler import BackgroundTaskScheduler
|
||||
from utils.job_queue_system import conflict_manager
|
||||
from utils.logging_config import get_logger
|
||||
|
||||
# SQLAlchemy (ungenutzt)
|
||||
from sqlalchemy.orm import joinedload
|
||||
|
||||
# Andere
|
||||
import functools
|
||||
```
|
||||
|
||||
### blueprints/guest.py (38 ungenutzte Imports)
|
||||
```python
|
||||
# WTForms (viele ungenutzt)
|
||||
from wtforms.validators import NumberRange, Optional, DataRequired, Email
|
||||
from wtforms import TextAreaField, IntegerField, StringField, SelectField
|
||||
from flask_wtf import FlaskForm
|
||||
from flask_wtf.file import FileField, FileAllowed
|
||||
|
||||
# Models (teilweise ungenutzt)
|
||||
from models import User, Printer, Notification, UserPermission, GuestRequest, get_cached_session
|
||||
|
||||
# Flask (viele ungenutzt)
|
||||
from flask import flash, url_for, jsonify, Blueprint, request, render_template, session, redirect, abort
|
||||
from flask_login import login_required, current_user
|
||||
|
||||
# Utils (ungenutzt)
|
||||
from utils.permissions import can_approve_jobs, approver_required
|
||||
from utils.job_scheduler import BackgroundTaskScheduler
|
||||
from utils.logging_config import get_logger
|
||||
|
||||
# Andere
|
||||
import bcrypt, secrets, functools
|
||||
from sqlalchemy import desc
|
||||
from sqlalchemy.orm import joinedload
|
||||
```
|
||||
|
||||
### blueprints/printers.py (25 ungenutzte Imports)
|
||||
```python
|
||||
# Models (teilweise ungenutzt)
|
||||
from models import User, Printer, Job
|
||||
|
||||
# Flask (viele ungenutzt)
|
||||
from flask import jsonify, Blueprint, request, Response, current_app, abort
|
||||
from flask_login import login_required, current_user
|
||||
|
||||
# SQLAlchemy (ungenutzt)
|
||||
from sqlalchemy import func, desc, asc, exc.SQLAlchemyError
|
||||
|
||||
# Werkzeug (ungenutzt)
|
||||
from werkzeug.utils import secure_filename
|
||||
from werkzeug.exceptions import NotFound, BadRequest
|
||||
|
||||
# Typing (ungenutzt)
|
||||
from typing import Tuple, List, Dict, Any, Optional
|
||||
|
||||
# PyP100 (ungenutzt)
|
||||
from PyP100 import PyP110
|
||||
```
|
||||
|
||||
## Utils-Dateien (Priorität 3)
|
||||
|
||||
### utils/utilities_collection.py (8 ungenutzte Imports)
|
||||
```python
|
||||
import json
|
||||
from typing import Optional, List, Dict, Any
|
||||
from utils.logging_config import get_logger
|
||||
from models import Printer, get_db_session
|
||||
```
|
||||
|
||||
### utils/hardware_integration.py (20 ungenutzte Imports)
|
||||
```python
|
||||
# Typing (ungenutzt)
|
||||
from typing import Tuple, List, Dict, Any, Optional
|
||||
|
||||
# Concurrent (ungenutzt)
|
||||
from concurrent.futures import ThreadPoolExecutor, as_completed
|
||||
|
||||
# Utils (teilweise ungenutzt)
|
||||
from utils.utilities_collection import TAPO_RETRY_COUNT, TAPO_PASSWORD, TAPO_TIMEOUT, TAPO_USERNAME, DEFAULT_TAPO_IPS
|
||||
from utils.logging_config import get_logger
|
||||
|
||||
# SQLAlchemy (ungenutzt)
|
||||
from sqlalchemy import func
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
# Andere
|
||||
import requests
|
||||
from flask import session
|
||||
```
|
||||
|
||||
### utils/security_suite.py (16 ungenutzte Imports)
|
||||
```python
|
||||
# Flask (teilweise ungenutzt)
|
||||
from flask import session, g, request, jsonify, abort
|
||||
from flask_login import current_user, login_required
|
||||
|
||||
# Typing (ungenutzt)
|
||||
from typing import Optional, Set, List, Dict
|
||||
|
||||
# Andere
|
||||
import functools, enum, hashlib, time
|
||||
from utils.logging_config import get_logger
|
||||
```
|
||||
|
||||
## Test-/Script-Dateien (Priorität 4)
|
||||
|
||||
### scripts/screenshot_tool.py (20 ungenutzte Imports)
|
||||
```python
|
||||
# Selenium (viele ungenutzt)
|
||||
from selenium.common.exceptions import TimeoutException, WebDriverException, NoSuchElementException
|
||||
from selenium.webdriver.firefox.service import Service as FirefoxService
|
||||
from selenium.webdriver.chrome.service import Service as ChromeService
|
||||
from selenium.webdriver.support import expected_conditions as EC
|
||||
from selenium.webdriver.common.by import By
|
||||
from selenium.webdriver.support.ui import WebDriverWait
|
||||
from selenium.webdriver.chrome.options import Options as ChromeOptions
|
||||
from selenium.webdriver.firefox.options import Options as FirefoxOptions
|
||||
from selenium import webdriver
|
||||
|
||||
# Andere
|
||||
import subprocess
|
||||
from urllib.parse import urljoin, urlparse
|
||||
from typing import Set, Tuple, List, Dict, Optional
|
||||
```
|
||||
|
||||
### template_analysis_tool.py (5 ungenutzte Imports)
|
||||
```python
|
||||
from typing import Set, Tuple, List, Dict
|
||||
from pathlib import Path
|
||||
```
|
||||
|
||||
## Empfehlungen pro Datei
|
||||
|
||||
### Sofort entfernen (sicher):
|
||||
1. **Alle `typing` Imports** in Dateien ohne Type-Annotations
|
||||
2. **Ungenutzte Selenium-Imports** in screenshot_tool.py
|
||||
3. **WTForms-Imports** in Blueprint-Dateien ohne Formulare
|
||||
4. **Redundante Flask-Imports** wenn bereits an anderer Stelle importiert
|
||||
|
||||
### Vorsichtig prüfen (möglicherweise Template/String-Referenzen):
|
||||
1. **Blueprint-Registrierungen** in app.py
|
||||
2. **Model-Imports** für SQLAlchemy-Relationships
|
||||
3. **Flask-Decorator-Imports** in Blueprint-Dateien
|
||||
4. **Utils-Imports** die möglicherweise in Templates verwendet werden
|
||||
|
||||
### Manuell validieren:
|
||||
1. **app.py**: Jeder Import einzeln prüfen
|
||||
2. **models.py**: SQLAlchemy-Imports können für Metadaten erforderlich sein
|
||||
3. **Admin-Blueprints**: Template-Funktionen prüfen
|
||||
|
||||
## Automatische Bereinigung-Scripts
|
||||
|
||||
```bash
|
||||
# 1. Nur sichere typing-Imports entfernen
|
||||
autoflake --remove-unused-variables --remove-all-unused-imports --ignore-init-module-imports --in-place $(find . -name "*.py" -path "./utils/*" -o -path "./scripts/*")
|
||||
|
||||
# 2. Blueprint-Dateien einzeln prüfen
|
||||
autoflake --remove-all-unused-imports --in-place blueprints/guest.py
|
||||
# (Nach Test, dann weitere)
|
||||
|
||||
# 3. Hauptdateien MANUELL bereinigen
|
||||
# app.py und models.py erfordern manuelle Überprüfung
|
||||
```
|
||||
|
||||
## Geschätzte Einsparungen
|
||||
|
||||
- **app.py**: ~59 Zeilen weniger Imports (-50% Import-Sektion)
|
||||
- **models.py**: ~32 Zeilen weniger Imports (-40% Import-Sektion)
|
||||
- **Blueprints**: ~200 Zeilen weniger Imports gesamt
|
||||
- **Utils**: ~150 Zeilen weniger Imports gesamt
|
||||
- **Scripts/Tests**: ~100 Zeilen weniger Imports gesamt
|
||||
|
||||
**Gesamt**: ~541 Zeilen weniger Import-Code, verbesserte Readability und Performance.
|
||||
Reference in New Issue
Block a user