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{"repo": "andreapianidev/pyprestascan", "files": {"ROADMAP.md": {"12bae52f993272f29b7d534c6a7c28f75032eab1": {"t": 1785747223.1295285, "n": 15278, "h": "a01d9a4b3eccdb46", "c": "# 🗺️ PyPrestaScan - Roadmap Sviluppo\n\n## 📊 Versioni Pianificate\n\n### ✅ v1.0.0 - v1.1.0 (Completate)\n- [x] Core crawler asincrono\n- [x] Analisi SEO PrestaShop-specific\n- [x] GUI con Qt/PySide6\n- [x] Sistema Fix Suggeriti\n- [x] **AI Integration** (DeepSeek/GPT/Claude)\n- [x] Export HTML/CSV/JSON/SQL\n- [x] Database SQLite\n\n---\n\n## 🚀 v1.2.0 - PrestaShop Integration & Advanced Export (Q1 2025)\n\n### 🔌 Feature 1: PrestaShop API Integration\n**Obiettivo**: Applicare fix automaticamente senza SQL manuale\n\n#### Implementazione\n**File**: `pyprestascan/integrations/prestashop_api.py`\n\n```python\nclass PrestaShopAPIClient:\n \"\"\"Client per API REST PrestaShop\"\"\"\n\n def __init__(self, shop_url: str, webservice_key: str):\n self.base_url = f\"{shop_url}/api\"\n self.api_key = webservice_key\n self.session = httpx.AsyncClient()\n\n async def get_product(self, product_id: int) -> dict:\n \"\"\"GET /api/products/{id}\"\"\"\n\n async def update_product_meta(self, product_id: int, meta_data: dict):\n \"\"\"PUT /api/products/{id} - Aggiorna meta SEO\"\"\"\n\n async def update_category_meta(self, category_id: int, meta_data: dict):\n \"\"\"PUT /api/categories/{id}\"\"\"\n\n async def batch_update_fixes(self, fixes: List[FixSuggestion]):\n \"\"\"Applica multipli fix in transazione\"\"\"\n\n async def create_backup_snapshot(self) -> str:\n \"\"\"Crea backup DB prima modifiche\"\"\"\n\n async def rollback_changes(self, snapshot_id: str):\n \"\"\"Ripristina stato precedente\"\"\"\n```\n\n#### GUI Integration\n**File**: `pyprestascan/gui/main_window.py`\n\n```python\n# Nuovo tab \"Applica Fix\"\ndef _create_apply_fixes_tab(self):\n \"\"\"Tab per applicazione automatica fix via API\"\"\"\n\n # Sezione connessione API\n - Input: Shop URL\n - Input: Webservice Key (encrypted storage)\n - Button: Test Connection\n\n # Sezione fix applicabili\n - Table: Fix con checkbox selection\n - Filter: Solo fix con confidence >= 0.8\n - Preview: Mostra cosa cambierà\n\n # Azioni\n - Button: Applica Fix Selezionati (con conferma)\n - Button: Crea Backup Prima\n - Log: Risultati applicazione in tempo reale\n```\n\n#### Sicurezza\n- API Key storage con `keyring` (encrypted)\n- Backup automatico pre-modifiche\n- Dry-run mode per preview\n- Rate limiting per non sovraccaricare server\n\n**Stima**: 3 giorni sviluppo\n\n---\n\n### 📊 Feature 2: Export Excel Avanzato\n**Obiettivo**: Report professionali per clienti/management\n\n#### Implementazione\n**File**: `pyprestascan/integrations/excel_exporter.py`\n\n```python\nclass ExcelReportExporter:\n \"\"\"Export Excel con formattazione professionale\"\"\"\n\n def __init__(self, scan_results: dict):\n self.results = scan_results\n self.workbook = xlsxwriter.Workbook()\n\n def create_executive_summary(self):\n \"\"\"Sheet 1: Executive Summary\n - KPI cards con colori\n - Grafici torta (Critical/Warning/Info)\n - Score trend (se multiple scan)\n \"\"\"\n\n def create_issues_detailed(self):\n \"\"\"Sheet 2: Issues Dettagliati\n - Tabella filtrable\n - Conditional formatting (rosso/giallo/verde)\n - Hyperlink a pagine\n \"\"\"\n\n def create_fixes_actionable(self):\n \"\"\"Sheet 3: Fix Applicabili\n - Prioritized by impact\n - Colonne: URL, Current, Suggested, Confidence, SQL\n - Template formule per bulk copy\n \"\"\"\n\n def create_competitor_benchmark(self):\n \"\"\"Sheet 4: Competitor Comparison (future)\"\"\"\n\n def export(self, output_path: Path):\n \"\"\"Salva file Excel con protezione\"\"\"\n # Password-protect sensitive sheets\n # Auto-column width\n # Print settings ottimizzati\n```\n\n#### Features Excel\n- **Formattazione condizionale** (verde = OK, rosso = critico)\n- **Grafici interattivi** (Chart.js embedding)\n- **Filtri automatici** su tutte le tabelle\n- **Protezione fogli** sensibili\n- **Template aziendali** personalizzabili\n\n**Dipendenze**: `xlsxwriter`, `openpyxl`\n\n**Stima**: 2 giorni sviluppo\n\n---\n\n### 🎨 Feature 3: Dark Mode Toggle\n**Obiettivo**: UX migliorata, meno affaticamento occhi\n\n#### Implementazione\n**File**: `pyprestascan/gui/themes.py`\n\n```python\nclass ThemeManager:\n \"\"\"Gestione temi GUI\"\"\"\n\n LIGHT_THEME = {\n 'background': '#FFFFFF',\n 'text': '#000000',\n 'primary': '#667eea',\n 'secondary': '#764ba2',\n 'border': '#E0E0E0'\n }\n\n DARK_THEME = {\n 'background': '#1E1E1E',\n 'text': '#E0E0E0',\n 'primary': '#667eea',\n 'secondary': '#764ba2',\n 'border': '#3D3D3D'\n }\n\n def apply_theme(self, app: QApplication, theme: str):\n \"\"\"Applica tema globalmente\"\"\"\n\n def toggle_theme(self):\n \"\"\"Switch light ↔ dark\"\"\"\n\n def save_preference(self, theme: str):\n \"\"\"Salva in settings\"\"\"\n```\n\n#### GUI Integration\n- Toggle button in header (☀️/🌙)\n- Animazione smooth transition\n- Persistence in QSettings\n- Auto-detect system theme (macOS/Windows)\n\n**Stima**: 1 giorno sviluppo\n\n---\n\n## 🚀 v1.3.0 - Monitoring & Alerts (Q2 2025)\n\n### 📈 Feature 4: Continuous Monitoring\n**Obiettivo**: SEO proattivo con scan schedulati\n\n#### Implementazione\n**File**: `pyprestascan/monitoring/scheduler.py`\n\n```python\nclass ScanScheduler:\n \"\"\"Scheduler per scan automatici\"\"\"\n\n def __init__(self):\n self.scheduler = APScheduler()\n\n def schedule_scan(self, url: str, cron: str):\n \"\"\"\n Cron examples:\n - \"0 2 * * *\" = daily 2am\n - \"0 2 * * 1\" = weekly monday 2am\n \"\"\"\n\n def compare_scans(self, scan1_id: int, scan2_id: int):\n \"\"\"Delta analysis tra 2 scan\"\"\"\n\n def detect_regressions(self):\n \"\"\"Rileva peggioramenti SEO\"\"\"\n\n def send_alert(self, condition: str, channel: str):\n \"\"\"\n Channels: email, slack, webhook, telegram\n Conditions:\n - new_critical_issues > 10\n - seo_score_drop > 5%\n - pages_404_increase > 20\n \"\"\"\n```\n\n#### Alert System\n**File**: `pyprestascan/monitoring/alerts.py`\n\n```python\nclass AlertManager:\n def send_email_alert(self, to: str, subject: str, body: str):\n \"\"\"SMTP email\"\"\"\n\n def send_slack_alert(self, webhook: str, message: dict):\n \"\"\"Slack incoming webhook\"\"\"\n\n def send_telegram_alert(self, bot_token: str, chat_id: str):\n \"\"\"Telegram bot API\"\"\"\n```\n\n#### Dashboard Storico\n- Grafici trend ultimi 30/90 giorni\n- Heatmap issue per giorno settimana\n- Correlation analysis (es: deploy → score drop)\n\n**Stima**: 4 giorni sviluppo\n\n---\n\n## 🚀 v1.4.0 - Competitor Analysis (Q2 2025)\n\n### 🎯 Feature 5: Competitor Benchmarking\n**Obiettivo**: Vedere come stai vs concorrenza\n\n#### Implementazione\n**File**: `pyprestascan/analysis/competitor.py`\n\n```python\nclass CompetitorAnalyzer:\n \"\"\"Analisi competitiva multi-sito\"\"\"\n\n async def scan_competitors(self, urls: List[str]):\n \"\"\"Scansiona max 5 competitor in parallelo\"\"\"\n\n def generate_benchmark_report(self):\n \"\"\"\n Confronto side-by-side:\n - SEO Score medio\n - Meta description coverage\n - Structured data usage\n - Page speed (LCP/FID/CLS)\n - Content length avg\n \"\"\"\n\n def extract_best_practices(self):\n \"\"\"\n ML-based pattern detection:\n - Keyword patterns vincenti\n - Meta description templates efficaci\n - Content structure ottimale\n \"\"\"\n\n def export_pdf_benchmark(self):\n \"\"\"Report PDF presentabile a CEO/clienti\"\"\"\n```\n\n#### GUI Tab\n- Input: 5 competitor URLs\n- Button: Scan All\n- Table: Side-by-side comparison\n- Charts: Radar chart per metriche\n- Export: PDF con logo aziendale\n\n**Stima**: 5 giorni sviluppo\n\n---\n\n## 🚀 v1.5.0 - Advanced SEO (Q3 2025)\n\n### 🌐 Feature 6: Multilingua Avanzato\n**Obiettivo**: Validazione profonda hreflang\n\n```python\nclass MultilingualValidator:\n def validate_hreflang_bidirectional(self):\n \"\"\"Verifica hreflang A→B e B→A\"\"\"\n\n def detect_duplicate_content_cross_lang(self):\n \"\"\"Content hash per trovare copie non tradotte\"\"\"\n\n def validate_canonical_cross_lang(self):\n \"\"\"Canonical corretto per ogni lingua\"\"\"\n```\n\n**Stima**: 3 giorni\n\n---\n\n### ⚡ Feature 7: Core Web Vitals\n**Obiettivo**: SEO tecnico completo\n\n```python\nclass PerformanceAnalyzer:\n async def measure_core_web_vitals(self, url: str):\n \"\"\"\n Integrazione Lighthouse/PageSpeed API:\n - LCP (Largest Contentful Paint)\n - FID (First Input Delay)\n - CLS (Cumulative Layout Shift)\n \"\"\"\n\n def identify_bottlenecks(self):\n \"\"\"Trova colli di bottiglia (images, JS, CSS)\"\"\"\n\n def suggest_optimizations(self):\n \"\"\"Fix automatici performance\"\"\"\n```\n\n**Stima**: 4 giorni\n\n---\n\n### 🤖 Feature 8: AI Content Quality\n**Obiettivo**: Analisi contenuti con AI\n\n```python\nclass AIContentAnalyzer:\n def analyze_readability(self, text: str):\n \"\"\"Flesch Reading Ease score\"\"\"\n\n def extract_keywords(self, text: str):\n \"\"\"Keyword density + LSI keywords\"\"\"\n\n def check_content_uniqueness(self, text: str):\n \"\"\"Confronto vs DB scraped\"\"\"\n\n def suggest_content_improvements(self, text: str):\n \"\"\"AI suggestions per migliorare testi\"\"\"\n\n def validate_tone_of_voice(self):\n \"\"\"Consistency check brand voice\"\"\"\n```\n\n**Stima**: 5 giorni\n\n---\n\n## 🚀 v2.0.0 - Enterprise Features (Q4 2025)\n\n### 🤖 Feature 9: AI Visual SEO\n**GPT-4 Vision / Claude Vision integration**\n\n```python\nclass VisualSEOAnalyzer:\n async def analyze_product_image(self, image_url: str):\n \"\"\"\n - Genera ALT text descrittivo\n - Verifica coerenza immagine-testo\n - Suggerisce immagini migliori\n \"\"\"\n```\n\n**Stima**: 6 giorni\n\n---\n\n### 📦 Feature 10: PrestaShop Module\n**Modulo nativo PrestaShop**\n\n```php\n// Module installabile da Addons Marketplace\nclass PyPrestaScanModule extends Module {\n public function install() {\n // 1-click install\n // Widget dashboard admin\n // Fix applicabili da backoffice\n }\n}\n```\n\n**Stima**: 10 giorni (PHP + integration)\n\n---\n\n### 🔗 Feature 11: Link Building Assistant\n\n```python\nclass LinkBuildingAnalyzer:\n def analyze_backlinks(self):\n \"\"\"Integrazione Ahrefs/Moz API\"\"\"\n\n def find_link_opportunities(self):\n \"\"\"Broken links, guest post suggestions\"\"\"\n\n def competitor_backlink_gap(self):\n \"\"\"Link che competitor hanno e tu no\"\"\"\n```\n\n**Stima**: 5 giorni\n\n---\n\n## 📱 Future: Mobile App\n\n**React Native app iOS/Android**\n- Dashboard mobile-friendly\n- Push notifications per alert\n- Quick scan con QR code camera\n- Report sharing WhatsApp/Email\n\n**Stima**: 20 giorni\n\n---\n\n## 🎯 Quick Wins (Implementabili in 1 giorno)\n\n### 1. Custom Rules Editor\n```python\nclass CustomRuleEditor:\n def create_rule(self, name: str, pattern: str, severity: str):\n \"\"\"Utente crea proprie regole SEO\"\"\"\n```\n\n### 2. Duplicates Merge Tool\n```python\nclass DuplicatesMerger:\n def merge_duplicate_titles(self):\n \"\"\"Unisci title duplicati con 1 click\"\"\"\n```\n\n### 3. Advanced Filters\n- Filter by date range\n- Filter by URL pattern (regex)\n- Filter by issue category\n- Save filter presets\n\n### 4. Webhook Integration\n```python\nclass WebhookManager:\n def send_scan_complete_webhook(self, url: str):\n \"\"\"POST results a endpoint esterno\"\"\"\n```\n\n### 5. CLI Enhancements\n```bash\n# Scan con output JSON per piping\npyprestascan scan https://site.com --format json | jq '.critical_issues'\n\n# Diff tra 2 scan\npyprestascan diff scan1.db scan2.db\n\n# Watch mode (continuous scan)\npyprestascan watch https://site.com --interval 1h\n```\n\n---\n\n## 📋 Priorità Implementazione\n\n### Must Have (v1.2.0)\n1. ✅ PrestaShop API Integration\n2. ✅ Export Excel Avanzato\n3. ✅ Dark Mode\n\n### Should Have (v1.3.0)\n4. Continuous Monitoring\n5. Alert System\n\n### Nice to Have (v1.4.0+)\n6. Competitor Analysis\n7. Multilingua Avanzato\n8. Core Web Vitals\n\n### Future (v2.0.0+)\n9. AI Visual SEO\n10. PrestaShop Module\n11. Link Building\n12. Mobile App\n\n---\n\n## 🏗️ Architettura Proposta\n\n```\npyprestascan/\n├── core/ # Esistente\n├── ai/ # Esistente (v1.1.0)\n├── integrations/ # NUOVO v1.2.0\n│ ├── prestashop_api.py\n│ ├── excel_exporter.py\n│ └── webhook_client.py\n├── monitoring/ # NUOVO v1.3.0\n│ ├── scheduler.py\n│ ├── alerts.py\n│ └── comparison.py\n├── analysis/ # NUOVO v1.4.0\n│ ├── competitor.py\n│ ├── performance.py\n│ └── content_quality.py\n├── gui/\n│ ├── themes.py # NUOVO v1.2.0\n│ └── tabs/ # Refactor\n│ ├── config_tab.py\n│ ├── results_tab.py\n│ ├── fixes_tab.py\n│ ├── apply_tab.py # NUOVO\n│ ├── monitoring_tab.py # NUOVO\n│ └── competitor_tab.py # NUOVO\n└── utils/\n ├── encryption.py # NUOVO (API keys)\n └── pdf_generator.py\n```\n\n---\n\n## 🧪 Testing Strategy\n\n### Unit Tests\n```python\n# tests/test_prestashop_api.py\nasync def test_api_authentication():\n client = PrestaShopAPIClient(url, key)\n assert await client.test_connection()\n\nasync def test_batch_update_fixes():\n fixes = [...]\n result = await client.batch_update_fixes(fixes)\n assert result.success_count == len(fixes)\n```\n\n### Integration Tests\n```python\n# tests/integration/test_excel_export.py\ndef test_excel_export_structure():\n exporter = ExcelReportExporter(results)\n file = exporter.export(\"test.xlsx\")\n\n wb = openpyxl.load_workbook(file)\n assert \"Executive Summary\" in wb.sheetnames\n assert \"Issues\" in wb.sheetnames\n```\n\n### E2E Tests (Playwright)\n```python\n# tests/e2e/test_gui_workflow.py\nasync def test_scan_and_apply_fixes(page):\n await page.goto(\"app://pyprestascan\")\n await page.fill(\"#url\", \"https://demo.prestashop.com\")\n await page.click(\"button:has-text('Scan')\")\n await page.wait_for_selector(\"text=Scan completed\")\n\n await page.click(\"tab:has-text('Apply Fixes')\")\n # ...\n```\n\n---\n\n## 📝 Documentation Plan\n\n### User Documentation\n- `docs/user-guide/prestashop-api-setup.md`\n- `docs/user-guide/excel-reports.md`\n- `docs/user-guide/monitoring-setup.md`\n- Video tutorials (YouTube)\n\n### Developer Documentation\n- `docs/developer/api-reference.md`\n- `docs/developer/plugin-system.md`\n- `docs/developer/architecture.md`\n\n### API Documentation\n- Swagger/OpenAPI spec\n- Postman collection\n- GraphQL schema (future)\n\n---\n\n## 🎯 Success Metrics\n\n### v1.2.0 Goals\n- [ ] 80% utenti usano PrestaShop API integration\n- [ ] Export Excel usato in 60% dei progetti\n- [ ] Dark mode preferito da 70% utenti\n\n### v1.3.0 Goals\n- [ ] 50% utenti attivano monitoring continuo\n- [ ] Alert system previene 90% disastri SEO\n\n### v1.4.0 Goals\n- [ ] Competitor analysis in 40% progetti enterprise\n- [ ] Report PDF condivisi a 1000+ stakeholder/mese\n\n---\n\n## 💰 Monetization Strategy (Future)\n\n### Free Tier\n- Core scanning (illimitato)\n- Export CSV/JSON\n- Basic fixes\n\n### Pro Tier ($29/month)\n- PrestaShop API integration\n- Export Excel avanzato\n- Dark mode\n- Email support\n\n### Enterprise Tier ($99/month)\n- Continuous monitoring\n- Competitor analysis\n- Multi-user\n- Priority support\n- Custom rules\n- White-label reports\n\n### Add-ons\n- PrestaShop Module: $49 one-time\n- AI Visual SEO: $19/month\n- Link Building Assistant: $39/month\n\n---\n\n**Prossimi passi**: Implementare v1.2.0 features nella prossima sessione con questa roadmap come guida! 🚀\n"}, "77d7cd33b5e71879b659892138bb91465855bff1": {"t": 1785771468.0401776, "n": 15278, "h": "a01d9a4b3eccdb46", "c": "# 🗺️ PyPrestaScan - Roadmap Sviluppo\n\n## 📊 Versioni Pianificate\n\n### ✅ v1.0.0 - v1.1.0 (Completate)\n- [x] Core crawler asincrono\n- [x] Analisi SEO PrestaShop-specific\n- [x] GUI con Qt/PySide6\n- [x] Sistema Fix Suggeriti\n- [x] **AI Integration** (DeepSeek/GPT/Claude)\n- [x] Export HTML/CSV/JSON/SQL\n- [x] Database SQLite\n\n---\n\n## 🚀 v1.2.0 - PrestaShop Integration & Advanced Export (Q1 2025)\n\n### 🔌 Feature 1: PrestaShop API Integration\n**Obiettivo**: Applicare fix automaticamente senza SQL manuale\n\n#### Implementazione\n**File**: `pyprestascan/integrations/prestashop_api.py`\n\n```python\nclass PrestaShopAPIClient:\n \"\"\"Client per API REST PrestaShop\"\"\"\n\n def __init__(self, shop_url: str, webservice_key: str):\n self.base_url = f\"{shop_url}/api\"\n self.api_key = webservice_key\n self.session = httpx.AsyncClient()\n\n async def get_product(self, product_id: int) -> dict:\n \"\"\"GET /api/products/{id}\"\"\"\n\n async def update_product_meta(self, product_id: int, meta_data: dict):\n \"\"\"PUT /api/products/{id} - Aggiorna meta SEO\"\"\"\n\n async def update_category_meta(self, category_id: int, meta_data: dict):\n \"\"\"PUT /api/categories/{id}\"\"\"\n\n async def batch_update_fixes(self, fixes: List[FixSuggestion]):\n \"\"\"Applica multipli fix in transazione\"\"\"\n\n async def create_backup_snapshot(self) -> str:\n \"\"\"Crea backup DB prima modifiche\"\"\"\n\n async def rollback_changes(self, snapshot_id: str):\n \"\"\"Ripristina stato precedente\"\"\"\n```\n\n#### GUI Integration\n**File**: `pyprestascan/gui/main_window.py`\n\n```python\n# Nuovo tab \"Applica Fix\"\ndef _create_apply_fixes_tab(self):\n \"\"\"Tab per applicazione automatica fix via API\"\"\"\n\n # Sezione connessione API\n - Input: Shop URL\n - Input: Webservice Key (encrypted storage)\n - Button: Test Connection\n\n # Sezione fix applicabili\n - Table: Fix con checkbox selection\n - Filter: Solo fix con confidence >= 0.8\n - Preview: Mostra cosa cambierà\n\n # Azioni\n - Button: Applica Fix Selezionati (con conferma)\n - Button: Crea Backup Prima\n - Log: Risultati applicazione in tempo reale\n```\n\n#### Sicurezza\n- API Key storage con `keyring` (encrypted)\n- Backup automatico pre-modifiche\n- Dry-run mode per preview\n- Rate limiting per non sovraccaricare server\n\n**Stima**: 3 giorni sviluppo\n\n---\n\n### 📊 Feature 2: Export Excel Avanzato\n**Obiettivo**: Report professionali per clienti/management\n\n#### Implementazione\n**File**: `pyprestascan/integrations/excel_exporter.py`\n\n```python\nclass ExcelReportExporter:\n \"\"\"Export Excel con formattazione professionale\"\"\"\n\n def __init__(self, scan_results: dict):\n self.results = scan_results\n self.workbook = xlsxwriter.Workbook()\n\n def create_executive_summary(self):\n \"\"\"Sheet 1: Executive Summary\n - KPI cards con colori\n - Grafici torta (Critical/Warning/Info)\n - Score trend (se multiple scan)\n \"\"\"\n\n def create_issues_detailed(self):\n \"\"\"Sheet 2: Issues Dettagliati\n - Tabella filtrable\n - Conditional formatting (rosso/giallo/verde)\n - Hyperlink a pagine\n \"\"\"\n\n def create_fixes_actionable(self):\n \"\"\"Sheet 3: Fix Applicabili\n - Prioritized by impact\n - Colonne: URL, Current, Suggested, Confidence, SQL\n - Template formule per bulk copy\n \"\"\"\n\n def create_competitor_benchmark(self):\n \"\"\"Sheet 4: Competitor Comparison (future)\"\"\"\n\n def export(self, output_path: Path):\n \"\"\"Salva file Excel con protezione\"\"\"\n # Password-protect sensitive sheets\n # Auto-column width\n # Print settings ottimizzati\n```\n\n#### Features Excel\n- **Formattazione condizionale** (verde = OK, rosso = critico)\n- **Grafici interattivi** (Chart.js embedding)\n- **Filtri automatici** su tutte le tabelle\n- **Protezione fogli** sensibili\n- **Template aziendali** personalizzabili\n\n**Dipendenze**: `xlsxwriter`, `openpyxl`\n\n**Stima**: 2 giorni sviluppo\n\n---\n\n### 🎨 Feature 3: Dark Mode Toggle\n**Obiettivo**: UX migliorata, meno affaticamento occhi\n\n#### Implementazione\n**File**: `pyprestascan/gui/themes.py`\n\n```python\nclass ThemeManager:\n \"\"\"Gestione temi GUI\"\"\"\n\n LIGHT_THEME = {\n 'background': '#FFFFFF',\n 'text': '#000000',\n 'primary': '#667eea',\n 'secondary': '#764ba2',\n 'border': '#E0E0E0'\n }\n\n DARK_THEME = {\n 'background': '#1E1E1E',\n 'text': '#E0E0E0',\n 'primary': '#667eea',\n 'secondary': '#764ba2',\n 'border': '#3D3D3D'\n }\n\n def apply_theme(self, app: QApplication, theme: str):\n \"\"\"Applica tema globalmente\"\"\"\n\n def toggle_theme(self):\n \"\"\"Switch light ↔ dark\"\"\"\n\n def save_preference(self, theme: str):\n \"\"\"Salva in settings\"\"\"\n```\n\n#### GUI Integration\n- Toggle button in header (☀️/🌙)\n- Animazione smooth transition\n- Persistence in QSettings\n- Auto-detect system theme (macOS/Windows)\n\n**Stima**: 1 giorno sviluppo\n\n---\n\n## 🚀 v1.3.0 - Monitoring & Alerts (Q2 2025)\n\n### 📈 Feature 4: Continuous Monitoring\n**Obiettivo**: SEO proattivo con scan schedulati\n\n#### Implementazione\n**File**: `pyprestascan/monitoring/scheduler.py`\n\n```python\nclass ScanScheduler:\n \"\"\"Scheduler per scan automatici\"\"\"\n\n def __init__(self):\n self.scheduler = APScheduler()\n\n def schedule_scan(self, url: str, cron: str):\n \"\"\"\n Cron examples:\n - \"0 2 * * *\" = daily 2am\n - \"0 2 * * 1\" = weekly monday 2am\n \"\"\"\n\n def compare_scans(self, scan1_id: int, scan2_id: int):\n \"\"\"Delta analysis tra 2 scan\"\"\"\n\n def detect_regressions(self):\n \"\"\"Rileva peggioramenti SEO\"\"\"\n\n def send_alert(self, condition: str, channel: str):\n \"\"\"\n Channels: email, slack, webhook, telegram\n Conditions:\n - new_critical_issues > 10\n - seo_score_drop > 5%\n - pages_404_increase > 20\n \"\"\"\n```\n\n#### Alert System\n**File**: `pyprestascan/monitoring/alerts.py`\n\n```python\nclass AlertManager:\n def send_email_alert(self, to: str, subject: str, body: str):\n \"\"\"SMTP email\"\"\"\n\n def send_slack_alert(self, webhook: str, message: dict):\n \"\"\"Slack incoming webhook\"\"\"\n\n def send_telegram_alert(self, bot_token: str, chat_id: str):\n \"\"\"Telegram bot API\"\"\"\n```\n\n#### Dashboard Storico\n- Grafici trend ultimi 30/90 giorni\n- Heatmap issue per giorno settimana\n- Correlation analysis (es: deploy → score drop)\n\n**Stima**: 4 giorni sviluppo\n\n---\n\n## 🚀 v1.4.0 - Competitor Analysis (Q2 2025)\n\n### 🎯 Feature 5: Competitor Benchmarking\n**Obiettivo**: Vedere come stai vs concorrenza\n\n#### Implementazione\n**File**: `pyprestascan/analysis/competitor.py`\n\n```python\nclass CompetitorAnalyzer:\n \"\"\"Analisi competitiva multi-sito\"\"\"\n\n async def scan_competitors(self, urls: List[str]):\n \"\"\"Scansiona max 5 competitor in parallelo\"\"\"\n\n def generate_benchmark_report(self):\n \"\"\"\n Confronto side-by-side:\n - SEO Score medio\n - Meta description coverage\n - Structured data usage\n - Page speed (LCP/FID/CLS)\n - Content length avg\n \"\"\"\n\n def extract_best_practices(self):\n \"\"\"\n ML-based pattern detection:\n - Keyword patterns vincenti\n - Meta description templates efficaci\n - Content structure ottimale\n \"\"\"\n\n def export_pdf_benchmark(self):\n \"\"\"Report PDF presentabile a CEO/clienti\"\"\"\n```\n\n#### GUI Tab\n- Input: 5 competitor URLs\n- Button: Scan All\n- Table: Side-by-side comparison\n- Charts: Radar chart per metriche\n- Export: PDF con logo aziendale\n\n**Stima**: 5 giorni sviluppo\n\n---\n\n## 🚀 v1.5.0 - Advanced SEO (Q3 2025)\n\n### 🌐 Feature 6: Multilingua Avanzato\n**Obiettivo**: Validazione profonda hreflang\n\n```python\nclass MultilingualValidator:\n def validate_hreflang_bidirectional(self):\n \"\"\"Verifica hreflang A→B e B→A\"\"\"\n\n def detect_duplicate_content_cross_lang(self):\n \"\"\"Content hash per trovare copie non tradotte\"\"\"\n\n def validate_canonical_cross_lang(self):\n \"\"\"Canonical corretto per ogni lingua\"\"\"\n```\n\n**Stima**: 3 giorni\n\n---\n\n### ⚡ Feature 7: Core Web Vitals\n**Obiettivo**: SEO tecnico completo\n\n```python\nclass PerformanceAnalyzer:\n async def measure_core_web_vitals(self, url: str):\n \"\"\"\n Integrazione Lighthouse/PageSpeed API:\n - LCP (Largest Contentful Paint)\n - FID (First Input Delay)\n - CLS (Cumulative Layout Shift)\n \"\"\"\n\n def identify_bottlenecks(self):\n \"\"\"Trova colli di bottiglia (images, JS, CSS)\"\"\"\n\n def suggest_optimizations(self):\n \"\"\"Fix automatici performance\"\"\"\n```\n\n**Stima**: 4 giorni\n\n---\n\n### 🤖 Feature 8: AI Content Quality\n**Obiettivo**: Analisi contenuti con AI\n\n```python\nclass AIContentAnalyzer:\n def analyze_readability(self, text: str):\n \"\"\"Flesch Reading Ease score\"\"\"\n\n def extract_keywords(self, text: str):\n \"\"\"Keyword density + LSI keywords\"\"\"\n\n def check_content_uniqueness(self, text: str):\n \"\"\"Confronto vs DB scraped\"\"\"\n\n def suggest_content_improvements(self, text: str):\n \"\"\"AI suggestions per migliorare testi\"\"\"\n\n def validate_tone_of_voice(self):\n \"\"\"Consistency check brand voice\"\"\"\n```\n\n**Stima**: 5 giorni\n\n---\n\n## 🚀 v2.0.0 - Enterprise Features (Q4 2025)\n\n### 🤖 Feature 9: AI Visual SEO\n**GPT-4 Vision / Claude Vision integration**\n\n```python\nclass VisualSEOAnalyzer:\n async def analyze_product_image(self, image_url: str):\n \"\"\"\n - Genera ALT text descrittivo\n - Verifica coerenza immagine-testo\n - Suggerisce immagini migliori\n \"\"\"\n```\n\n**Stima**: 6 giorni\n\n---\n\n### 📦 Feature 10: PrestaShop Module\n**Modulo nativo PrestaShop**\n\n```php\n// Module installabile da Addons Marketplace\nclass PyPrestaScanModule extends Module {\n public function install() {\n // 1-click install\n // Widget dashboard admin\n // Fix applicabili da backoffice\n }\n}\n```\n\n**Stima**: 10 giorni (PHP + integration)\n\n---\n\n### 🔗 Feature 11: Link Building Assistant\n\n```python\nclass LinkBuildingAnalyzer:\n def analyze_backlinks(self):\n \"\"\"Integrazione Ahrefs/Moz API\"\"\"\n\n def find_link_opportunities(self):\n \"\"\"Broken links, guest post suggestions\"\"\"\n\n def competitor_backlink_gap(self):\n \"\"\"Link che competitor hanno e tu no\"\"\"\n```\n\n**Stima**: 5 giorni\n\n---\n\n## 📱 Future: Mobile App\n\n**React Native app iOS/Android**\n- Dashboard mobile-friendly\n- Push notifications per alert\n- Quick scan con QR code camera\n- Report sharing WhatsApp/Email\n\n**Stima**: 20 giorni\n\n---\n\n## 🎯 Quick Wins (Implementabili in 1 giorno)\n\n### 1. Custom Rules Editor\n```python\nclass CustomRuleEditor:\n def create_rule(self, name: str, pattern: str, severity: str):\n \"\"\"Utente crea proprie regole SEO\"\"\"\n```\n\n### 2. Duplicates Merge Tool\n```python\nclass DuplicatesMerger:\n def merge_duplicate_titles(self):\n \"\"\"Unisci title duplicati con 1 click\"\"\"\n```\n\n### 3. Advanced Filters\n- Filter by date range\n- Filter by URL pattern (regex)\n- Filter by issue category\n- Save filter presets\n\n### 4. Webhook Integration\n```python\nclass WebhookManager:\n def send_scan_complete_webhook(self, url: str):\n \"\"\"POST results a endpoint esterno\"\"\"\n```\n\n### 5. CLI Enhancements\n```bash\n# Scan con output JSON per piping\npyprestascan scan https://site.com --format json | jq '.critical_issues'\n\n# Diff tra 2 scan\npyprestascan diff scan1.db scan2.db\n\n# Watch mode (continuous scan)\npyprestascan watch https://site.com --interval 1h\n```\n\n---\n\n## 📋 Priorità Implementazione\n\n### Must Have (v1.2.0)\n1. ✅ PrestaShop API Integration\n2. ✅ Export Excel Avanzato\n3. ✅ Dark Mode\n\n### Should Have (v1.3.0)\n4. Continuous Monitoring\n5. Alert System\n\n### Nice to Have (v1.4.0+)\n6. Competitor Analysis\n7. Multilingua Avanzato\n8. Core Web Vitals\n\n### Future (v2.0.0+)\n9. AI Visual SEO\n10. PrestaShop Module\n11. Link Building\n12. Mobile App\n\n---\n\n## 🏗️ Architettura Proposta\n\n```\npyprestascan/\n├── core/ # Esistente\n├── ai/ # Esistente (v1.1.0)\n├── integrations/ # NUOVO v1.2.0\n│ ├── prestashop_api.py\n│ ├── excel_exporter.py\n│ └── webhook_client.py\n├── monitoring/ # NUOVO v1.3.0\n│ ├── scheduler.py\n│ ├── alerts.py\n│ └── comparison.py\n├── analysis/ # NUOVO v1.4.0\n│ ├── competitor.py\n│ ├── performance.py\n│ └── content_quality.py\n├── gui/\n│ ├── themes.py # NUOVO v1.2.0\n│ └── tabs/ # Refactor\n│ ├── config_tab.py\n│ ├── results_tab.py\n│ ├── fixes_tab.py\n│ ├── apply_tab.py # NUOVO\n│ ├── monitoring_tab.py # NUOVO\n│ └── competitor_tab.py # NUOVO\n└── utils/\n ├── encryption.py # NUOVO (API keys)\n └── pdf_generator.py\n```\n\n---\n\n## 🧪 Testing Strategy\n\n### Unit Tests\n```python\n# tests/test_prestashop_api.py\nasync def test_api_authentication():\n client = PrestaShopAPIClient(url, key)\n assert await client.test_connection()\n\nasync def test_batch_update_fixes():\n fixes = [...]\n result = await client.batch_update_fixes(fixes)\n assert result.success_count == len(fixes)\n```\n\n### Integration Tests\n```python\n# tests/integration/test_excel_export.py\ndef test_excel_export_structure():\n exporter = ExcelReportExporter(results)\n file = exporter.export(\"test.xlsx\")\n\n wb = openpyxl.load_workbook(file)\n assert \"Executive Summary\" in wb.sheetnames\n assert \"Issues\" in wb.sheetnames\n```\n\n### E2E Tests (Playwright)\n```python\n# tests/e2e/test_gui_workflow.py\nasync def test_scan_and_apply_fixes(page):\n await page.goto(\"app://pyprestascan\")\n await page.fill(\"#url\", \"https://demo.prestashop.com\")\n await page.click(\"button:has-text('Scan')\")\n await page.wait_for_selector(\"text=Scan completed\")\n\n await page.click(\"tab:has-text('Apply Fixes')\")\n # ...\n```\n\n---\n\n## 📝 Documentation Plan\n\n### User Documentation\n- `docs/user-guide/prestashop-api-setup.md`\n- `docs/user-guide/excel-reports.md`\n- `docs/user-guide/monitoring-setup.md`\n- Video tutorials (YouTube)\n\n### Developer Documentation\n- `docs/developer/api-reference.md`\n- `docs/developer/plugin-system.md`\n- `docs/developer/architecture.md`\n\n### API Documentation\n- Swagger/OpenAPI spec\n- Postman collection\n- GraphQL schema (future)\n\n---\n\n## 🎯 Success Metrics\n\n### v1.2.0 Goals\n- [ ] 80% utenti usano PrestaShop API integration\n- [ ] Export Excel usato in 60% dei progetti\n- [ ] Dark mode preferito da 70% utenti\n\n### v1.3.0 Goals\n- [ ] 50% utenti attivano monitoring continuo\n- [ ] Alert system previene 90% disastri SEO\n\n### v1.4.0 Goals\n- [ ] Competitor analysis in 40% progetti enterprise\n- [ ] Report PDF condivisi a 1000+ stakeholder/mese\n\n---\n\n## 💰 Monetization Strategy (Future)\n\n### Free Tier\n- Core scanning (illimitato)\n- Export CSV/JSON\n- Basic fixes\n\n### Pro Tier ($29/month)\n- PrestaShop API integration\n- Export Excel avanzato\n- Dark mode\n- Email support\n\n### Enterprise Tier ($99/month)\n- Continuous monitoring\n- Competitor analysis\n- Multi-user\n- Priority support\n- Custom rules\n- White-label reports\n\n### Add-ons\n- PrestaShop Module: $49 one-time\n- AI Visual SEO: $19/month\n- Link Building Assistant: $39/month\n\n---\n\n**Prossimi passi**: Implementare v1.2.0 features nella prossima sessione con questa roadmap come guida! 🚀\n"}}}} |