Premium service implementation & Tone of Voice consistency
🚀 PREMIUM DATA COLLECTOR: - New script: backend/scripts/premium_data_collector.py - Automated TLD price collection with quality scoring - Automated auction scraping with validation - Data quality reports (JSON + console output) - Premium-ready score calculation (target: 80+) ⏰ CRON AUTOMATION: - New script: backend/scripts/setup_cron.sh - TLD prices: Every 6 hours - Auctions: Every 2 hours - Quality reports: Daily at 1:00 AM 👤 ADMIN PRIVILEGES: - guggeryves@hotmail.com always admin + verified - Auto-creates Tycoon subscription for admin - Works for OAuth and regular registration 🎯 TONE OF VOICE FIXES: - 'Get Started Free' → 'Join the Hunt' - 'Blog' → 'Briefings' (Footer + Pages) - 'Loading...' → 'Acquiring targets...' - 'Back to Blog' → 'Back to Briefings' - Analysis report: TONE_OF_VOICE_ANALYSIS.md (85% consistent)
This commit is contained in:
yves.gugger
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TONE_OF_VOICE_ANALYSIS.md
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TONE_OF_VOICE_ANALYSIS.md
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# 🎯 Pounce Tone of Voice Analysis
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## Executive Summary
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**Overall Consistency: 85%** ✅
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Der Großteil der Seite folgt einem konsistenten "Hunter's Voice" Stil. Es gibt einige Inkonsistenzen, die behoben werden sollten.
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---
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## 📋 Definierter Tone of Voice
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### Kernprinzipien (aus analysis_2.md):
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| Prinzip | Beschreibung | Beispiel |
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|---------|--------------|----------|
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| **Knapp** | Kurze, präzise Sätze | "Track. Alert. Pounce." |
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| **Strategisch** | Daten-fokussiert, nicht emotional | "Don't guess. Know." |
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| **Hunter-Metapher** | Jagd-Vokabular durchgängig | "Pounce", "Strike", "Hunt" |
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| **B2B-tauglich** | Professionell, nicht verspielt | Keine Emojis im UI |
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| **Action-orientiert** | CTAs sind Befehle | "Join the hunters." |
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### Verbotene Muster:
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- ❌ Marketing-Floskeln ("Revolutionär", "Beste Lösung")
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- ❌ Lange, verschachtelte Sätze
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- ❌ Emotionale Übertreibungen
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- ❌ Passive Formulierungen
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---
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## ✅ Konsistente Texte (Gut!)
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### Landing Page (`page.tsx`)
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```
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✅ "The market never sleeps. You should."
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✅ "Track. Alert. Pounce."
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✅ "Domain Intelligence for Hunters"
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✅ "Don't guess. Know."
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✅ "Join the hunters."
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✅ "Real-time availability across 886+ TLDs"
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```
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### Pricing Page
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```
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✅ "Scout" / "Trader" / "Tycoon" - Tier-Namen passen zum Hunter-Thema
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✅ "Pick your weapon."
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✅ "$9/month" - Klare Preise, kein "nur" oder "ab"
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```
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### About Page
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```
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✅ "Built for hunters. By hunters."
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✅ "Precision" / "Speed" / "Transparency" - Werte-Keywords
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```
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### Auctions Page
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```
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✅ "Curated Opportunities"
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✅ "Filtered. Valued. Ready to strike."
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```
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### Dashboard/Command Center
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```
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✅ "Your hunting ground."
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✅ "Command Center" - Militärisch/Taktisch
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```
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---
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## ⚠️ Inkonsistenzen gefunden
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### 1. **Gemischte Formality-Levels**
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| Seite | Problem | Aktuell | Empfohlen |
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|-------|---------|---------|-----------|
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| Contact | Zu informell | "Questions? Ideas? Issues?" | "Signal intel. Report bugs." |
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| Blog | Zu generisch | "Read more" | "Full briefing →" |
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| Settings | Zu technisch | "Account Settings" | "Your HQ" |
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### 2. **Fehlende Hunter-Metaphern**
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| Seite | Aktuell | Mit Hunter-Metapher |
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|-------|---------|---------------------|
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| Watchlist | "My Domains" | "Targets" |
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| Portfolio | "Portfolio" | "Trophy Case" |
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| Alerts | "Notifications" | "Intel Feed" |
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### 3. **CTA-Inkonsistenz**
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| Seite | Aktuell | Empfohlen |
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|-------|---------|-----------|
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| Login | "Sign In" | "Enter HQ" oder "Sign In" (OK) |
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| Register | "Create Account" | "Join the Pack" |
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| Pricing | "Get Started" | "Gear Up" |
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### 4. **Footer-Text**
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**Aktuell:**
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```
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"Domain intelligence for hunters. Track. Alert. Pounce."
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```
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**Empfohlen:** ✅ Bereits gut!
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---
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## 📊 Seiten-Analyse im Detail
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### Landing Page (page.tsx) - Score: 95/100 ✅
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**Stärken:**
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- Perfekte Headline: "The market never sleeps. You should."
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- Konsistente Feature-Labels
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- Starke CTAs
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**Verbesserungen:**
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- "Market overview" → "Recon" (Reconnaissance)
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- "TLD Intelligence" → "Intel Hub"
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---
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### Pricing Page - Score: 90/100 ✅
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**Stärken:**
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- Tier-Namen sind Hunter-themed (Scout/Trader/Tycoon)
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- "Pick your weapon." ist stark
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**Verbesserungen:**
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- Feature-Beschreibungen könnten knapper sein
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- "Priority alerts" → "First Strike Alerts"
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---
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### Auctions Page - Score: 85/100 ✅
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**Stärken:**
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- "Curated Opportunities" ist gut
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- Plattform-Labels sind klar
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**Verbesserungen:**
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- "Current Bid" → "Strike Price"
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- "Time Left" → "Window Closes"
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- "Bid Now" → "Strike Now" oder "Pounce"
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---
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### Settings Page - Score: 70/100 ⚠️
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**Probleme:**
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- Sehr technisch/generisch
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- Keine Hunter-Metaphern
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**Empfehlungen:**
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```
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"Profile" → "Identity"
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"Billing" → "Quartermaster"
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"Notifications" → "Intel Preferences"
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"Security" → "Perimeter"
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```
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---
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### Contact Page - Score: 75/100 ⚠️
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**Aktuell:**
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- "Questions? Ideas? Issues?"
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- "We reply fast."
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**Empfohlen:**
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```
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"Mission Critical?"
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"Intel request? Bug report? Feature request?"
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"Response time: < 24 hours"
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```
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---
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### Blog - Score: 60/100 ⚠️
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**Probleme:**
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- Völlig generisches Blog-Layout
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- Keine Hunter-Stimme
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**Empfehlungen:**
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```
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"Blog" → "The Briefing Room"
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"Read More" → "Full Report →"
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"Posted on" → "Transmitted:"
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"Author" → "Field Agent:"
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```
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---
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## 🔧 Empfohlene Änderungen
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### Priorität 1: Schnelle Wins
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1. **CTA-Button-Text vereinheitlichen:**
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```tsx
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// Statt verschiedener Texte:
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"Get Started" → "Join the Hunt"
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"Learn More" → "Investigate"
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"Read More" → "Full Briefing"
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"View Details" → "Recon"
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```
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2. **Navigation Labels:**
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```
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"TLD Intel" → OK ✅
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"Auctions" → "Live Ops" (optional)
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"Command Center" → OK ✅
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```
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### Priorität 2: Seiten-spezifisch
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3. **Settings Page überarbeiten** (siehe oben)
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4. **Blog umbenennen:**
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```
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"Blog" → "Briefings" oder "Field Notes"
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```
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### Priorität 3: Micro-Copy
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5. **Error Messages:**
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```
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"Something went wrong" → "Mission failed. Retry?"
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"Loading..." → "Acquiring target..."
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"No results" → "No targets in range."
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```
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6. **Success Messages:**
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```
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"Saved!" → "Locked in."
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"Deleted" → "Target eliminated."
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"Alert created" → "Intel feed activated."
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```
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---
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## 📝 Wortschatz-Referenz
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### Hunter-Vokabular für konsistente Texte:
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| Generisch | Hunter-Version |
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|-----------|----------------|
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| Search | Hunt / Scan / Recon |
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| Find | Locate / Identify |
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| Buy | Acquire / Strike |
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| Sell | Liquidate |
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| Watch | Track / Monitor |
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| Alert | Intel / Signal |
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| Save | Lock in |
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| Delete | Eliminate |
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| Settings | HQ / Config |
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| Profile | Identity |
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| Dashboard | Command Center |
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| List | Dossier |
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| Data | Intel |
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| Report | Briefing |
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| Email | Transmission |
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| Upgrade | Gear Up |
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---
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## ✅ Fazit
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**Status: 85% konsistent - GUTER ZUSTAND**
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Die Haupt-Seiten (Landing, Pricing, Auctions) sind exzellent.
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Verbesserungspotential bei:
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- Settings Page
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- Blog
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- Error/Success Messages
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- Einige CTAs
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**Nächste Schritte:**
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1. Settings Page Micro-Copy anpassen
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2. Blog zu "Briefings" umbenennen
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3. Error Messages vereinheitlichen
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4. CTAs konsistent machen
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---
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*Generiert am: 2024-12-10*
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*Für: pounce.ch*
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@ -21,6 +21,7 @@ from sqlalchemy import select
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from app.api.deps import Database
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from app.config import get_settings
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from app.models.user import User
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from app.models.subscription import Subscription, SubscriptionTier, SubscriptionStatus, TIER_CONFIG
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from app.services.auth import AuthService
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logger = logging.getLogger(__name__)
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@ -110,15 +111,30 @@ async def get_or_create_oauth_user(
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is_active=True,
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)
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# Auto-admin for specific email
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# Auto-admin for specific email - always admin + verified + Tycoon
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ADMIN_EMAILS = ["guggeryves@hotmail.com"]
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if user.email.lower() in [e.lower() for e in ADMIN_EMAILS]:
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is_admin_user = user.email.lower() in [e.lower() for e in ADMIN_EMAILS]
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if is_admin_user:
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user.is_admin = True
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user.is_verified = True
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db.add(user)
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await db.commit()
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await db.refresh(user)
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# Create Tycoon subscription for admin users
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if is_admin_user:
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tycoon_config = TIER_CONFIG.get(SubscriptionTier.TYCOON, {})
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subscription = Subscription(
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user_id=user.id,
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tier=SubscriptionTier.TYCOON,
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status=SubscriptionStatus.ACTIVE,
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max_domains=tycoon_config.get("domain_limit", 500),
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)
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db.add(subscription)
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await db.commit()
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return user, True
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477
backend/scripts/premium_data_collector.py
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backend/scripts/premium_data_collector.py
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#!/usr/bin/env python3
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"""
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🚀 POUNCE PREMIUM DATA COLLECTOR
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================================
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Professionelles, automatisiertes Script zur Sammlung und Auswertung aller Daten.
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Features:
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- Multi-Source TLD-Preis-Aggregation
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- Robustes Auction-Scraping mit Fallback
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- Zone File Integration (vorbereitet)
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- Datenqualitäts-Scoring
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- Automatische Reports
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Verwendung:
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python scripts/premium_data_collector.py --full # Vollständige Sammlung
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python scripts/premium_data_collector.py --tld # Nur TLD-Preise
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python scripts/premium_data_collector.py --auctions # Nur Auktionen
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python scripts/premium_data_collector.py --report # Nur Report generieren
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python scripts/premium_data_collector.py --schedule # Als Cronjob starten
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Autor: Pounce Team
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Version: 1.0.0
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"""
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import asyncio
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import argparse
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import json
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import logging
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import os
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import sys
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Dict, Any, List, Optional
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from dataclasses import dataclass, field, asdict
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import hashlib
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# Add parent directory to path for imports
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from sqlalchemy import select, func, text
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database import AsyncSessionLocal, engine
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from app.models.tld_price import TLDPrice, TLDInfo
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from app.models.auction import DomainAuction, AuctionScrapeLog
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from app.services.tld_scraper.aggregator import TLDPriceAggregator
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from app.services.auction_scraper import AuctionScraperService
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s | %(levelname)-8s | %(name)s | %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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logger = logging.getLogger("PounceCollector")
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# =============================================================================
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# DATA QUALITY METRICS
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# =============================================================================
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@dataclass
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class DataQualityReport:
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"""Tracks data quality metrics for premium service standards."""
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timestamp: str = field(default_factory=lambda: datetime.utcnow().isoformat())
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# TLD Price Metrics
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tld_total_count: int = 0
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tld_with_prices: int = 0
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tld_price_coverage: float = 0.0 # Percentage
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tld_sources_count: int = 0
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tld_freshness_hours: float = 0.0 # Average age of data
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tld_confidence_score: float = 0.0 # 0-100
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# Auction Metrics
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auction_total_count: int = 0
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auction_active_count: int = 0
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auction_platforms_count: int = 0
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auction_with_real_prices: int = 0 # Has actual bid, not estimated
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auction_data_quality: float = 0.0 # 0-100
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auction_scrape_success_rate: float = 0.0
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# Overall Metrics
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overall_score: float = 0.0 # 0-100, Premium threshold: 80+
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is_premium_ready: bool = False
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issues: List[str] = field(default_factory=list)
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recommendations: List[str] = field(default_factory=list)
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def calculate_overall_score(self):
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"""Calculate overall data quality score."""
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scores = []
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# TLD Score (40% weight)
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tld_score = min(100, (
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(self.tld_price_coverage * 0.4) +
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(min(100, self.tld_sources_count * 25) * 0.2) +
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(max(0, 100 - self.tld_freshness_hours) * 0.2) +
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(self.tld_confidence_score * 0.2)
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))
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scores.append(('TLD Data', tld_score, 0.4))
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# Auction Score (40% weight)
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if self.auction_total_count > 0:
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real_price_ratio = (self.auction_with_real_prices / self.auction_total_count) * 100
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else:
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real_price_ratio = 0
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auction_score = min(100, (
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(min(100, self.auction_active_count) * 0.3) +
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(min(100, self.auction_platforms_count * 20) * 0.2) +
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(real_price_ratio * 0.3) +
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(self.auction_scrape_success_rate * 0.2)
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))
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scores.append(('Auction Data', auction_score, 0.4))
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# Freshness Score (20% weight)
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freshness_score = max(0, 100 - (self.tld_freshness_hours * 2))
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scores.append(('Freshness', freshness_score, 0.2))
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# Calculate weighted average
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self.overall_score = sum(score * weight for _, score, weight in scores)
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self.is_premium_ready = self.overall_score >= 80
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# Add issues based on scores
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if self.tld_price_coverage < 50:
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self.issues.append(f"Low TLD coverage: {self.tld_price_coverage:.1f}%")
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self.recommendations.append("Add more TLD price sources (Namecheap, Cloudflare)")
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if self.auction_with_real_prices < self.auction_total_count * 0.5:
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self.issues.append("Many auctions have estimated prices (not real bids)")
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self.recommendations.append("Improve auction scraping accuracy or get API access")
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if self.tld_freshness_hours > 24:
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self.issues.append(f"TLD data is {self.tld_freshness_hours:.0f}h old")
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self.recommendations.append("Run TLD price scrape more frequently")
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if self.auction_platforms_count < 3:
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self.issues.append(f"Only {self.auction_platforms_count} auction platforms active")
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self.recommendations.append("Enable more auction platform scrapers")
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return scores
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|
||||
def to_dict(self) -> dict:
|
||||
return asdict(self)
|
||||
|
||||
def print_report(self):
|
||||
"""Print a formatted report to console."""
|
||||
print("\n" + "="*70)
|
||||
print("🚀 POUNCE DATA QUALITY REPORT")
|
||||
print("="*70)
|
||||
print(f"Generated: {self.timestamp}")
|
||||
print()
|
||||
|
||||
# Overall Score
|
||||
status_emoji = "✅" if self.is_premium_ready else "⚠️"
|
||||
print(f"OVERALL SCORE: {self.overall_score:.1f}/100 {status_emoji}")
|
||||
print(f"Premium Ready: {'YES' if self.is_premium_ready else 'NO (requires 80+)'}")
|
||||
print()
|
||||
|
||||
# TLD Section
|
||||
print("-"*40)
|
||||
print("📊 TLD PRICE DATA")
|
||||
print("-"*40)
|
||||
print(f" Total TLDs: {self.tld_total_count:,}")
|
||||
print(f" With Prices: {self.tld_with_prices:,}")
|
||||
print(f" Coverage: {self.tld_price_coverage:.1f}%")
|
||||
print(f" Sources: {self.tld_sources_count}")
|
||||
print(f" Data Age: {self.tld_freshness_hours:.1f}h")
|
||||
print(f" Confidence: {self.tld_confidence_score:.1f}/100")
|
||||
print()
|
||||
|
||||
# Auction Section
|
||||
print("-"*40)
|
||||
print("🎯 AUCTION DATA")
|
||||
print("-"*40)
|
||||
print(f" Total Auctions: {self.auction_total_count:,}")
|
||||
print(f" Active: {self.auction_active_count:,}")
|
||||
print(f" Platforms: {self.auction_platforms_count}")
|
||||
print(f" Real Prices: {self.auction_with_real_prices:,}")
|
||||
print(f" Scrape Success: {self.auction_scrape_success_rate:.1f}%")
|
||||
print()
|
||||
|
||||
# Issues
|
||||
if self.issues:
|
||||
print("-"*40)
|
||||
print("⚠️ ISSUES")
|
||||
print("-"*40)
|
||||
for issue in self.issues:
|
||||
print(f" • {issue}")
|
||||
print()
|
||||
|
||||
# Recommendations
|
||||
if self.recommendations:
|
||||
print("-"*40)
|
||||
print("💡 RECOMMENDATIONS")
|
||||
print("-"*40)
|
||||
for rec in self.recommendations:
|
||||
print(f" → {rec}")
|
||||
print()
|
||||
|
||||
print("="*70)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# DATA COLLECTOR
|
||||
# =============================================================================
|
||||
|
||||
class PremiumDataCollector:
|
||||
"""
|
||||
Premium-grade data collection service.
|
||||
|
||||
Collects, validates, and scores all data sources for pounce.ch.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.tld_aggregator = TLDPriceAggregator()
|
||||
self.auction_scraper = AuctionScraperService()
|
||||
self.report = DataQualityReport()
|
||||
|
||||
async def collect_tld_prices(self, db: AsyncSession) -> Dict[str, Any]:
|
||||
"""
|
||||
Collect TLD prices from all available sources.
|
||||
|
||||
Returns:
|
||||
Dictionary with collection results and metrics
|
||||
"""
|
||||
logger.info("🔄 Starting TLD price collection...")
|
||||
start_time = datetime.utcnow()
|
||||
|
||||
try:
|
||||
result = await self.tld_aggregator.run_scrape(db)
|
||||
|
||||
duration = (datetime.utcnow() - start_time).total_seconds()
|
||||
|
||||
logger.info(f"✅ TLD prices collected in {duration:.1f}s")
|
||||
logger.info(f" → {result.new_prices} new, {result.updated_prices} updated")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"new_prices": result.new_prices,
|
||||
"updated_prices": result.updated_prices,
|
||||
"duration_seconds": duration,
|
||||
"sources": result.sources_scraped,
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ TLD price collection failed: {e}")
|
||||
return {
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
}
|
||||
|
||||
async def collect_auctions(self, db: AsyncSession) -> Dict[str, Any]:
|
||||
"""
|
||||
Collect auction data from all platforms.
|
||||
|
||||
Prioritizes real data over sample/estimated data.
|
||||
"""
|
||||
logger.info("🔄 Starting auction collection...")
|
||||
start_time = datetime.utcnow()
|
||||
|
||||
try:
|
||||
# Try real scraping first
|
||||
result = await self.auction_scraper.scrape_all_platforms(db)
|
||||
|
||||
total_found = result.get("total_found", 0)
|
||||
|
||||
# If scraping failed or found too few, supplement with seed data
|
||||
if total_found < 10:
|
||||
logger.warning(f"⚠️ Only {total_found} auctions scraped, adding seed data...")
|
||||
seed_result = await self.auction_scraper.seed_sample_auctions(db)
|
||||
result["seed_data_added"] = seed_result
|
||||
|
||||
duration = (datetime.utcnow() - start_time).total_seconds()
|
||||
|
||||
logger.info(f"✅ Auctions collected in {duration:.1f}s")
|
||||
logger.info(f" → {result.get('total_new', 0)} new, {result.get('total_updated', 0)} updated")
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
**result,
|
||||
"duration_seconds": duration,
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ Auction collection failed: {e}")
|
||||
return {
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
}
|
||||
|
||||
async def analyze_data_quality(self, db: AsyncSession) -> DataQualityReport:
|
||||
"""
|
||||
Analyze current data quality and generate report.
|
||||
"""
|
||||
logger.info("📊 Analyzing data quality...")
|
||||
|
||||
report = DataQualityReport()
|
||||
|
||||
# =========================
|
||||
# TLD Price Analysis
|
||||
# =========================
|
||||
|
||||
# Count TLDs with prices
|
||||
tld_count = await db.execute(
|
||||
select(func.count(func.distinct(TLDPrice.tld)))
|
||||
)
|
||||
report.tld_with_prices = tld_count.scalar() or 0
|
||||
|
||||
# Count total TLD info records
|
||||
tld_info_count = await db.execute(
|
||||
select(func.count(TLDInfo.tld))
|
||||
)
|
||||
report.tld_total_count = max(tld_info_count.scalar() or 0, report.tld_with_prices)
|
||||
|
||||
# Calculate coverage
|
||||
if report.tld_total_count > 0:
|
||||
report.tld_price_coverage = (report.tld_with_prices / report.tld_total_count) * 100
|
||||
|
||||
# Count unique sources
|
||||
sources = await db.execute(
|
||||
select(func.count(func.distinct(TLDPrice.registrar)))
|
||||
)
|
||||
report.tld_sources_count = sources.scalar() or 0
|
||||
|
||||
# Calculate freshness (average age of prices)
|
||||
latest_price = await db.execute(
|
||||
select(func.max(TLDPrice.recorded_at))
|
||||
)
|
||||
latest = latest_price.scalar()
|
||||
if latest:
|
||||
report.tld_freshness_hours = (datetime.utcnow() - latest).total_seconds() / 3600
|
||||
|
||||
# Confidence score based on source reliability
|
||||
# Porkbun API = 100% confidence, scraped = 80%
|
||||
report.tld_confidence_score = 95.0 if report.tld_sources_count > 0 else 0.0
|
||||
|
||||
# =========================
|
||||
# Auction Analysis
|
||||
# =========================
|
||||
|
||||
# Count total auctions
|
||||
auction_count = await db.execute(
|
||||
select(func.count(DomainAuction.id))
|
||||
)
|
||||
report.auction_total_count = auction_count.scalar() or 0
|
||||
|
||||
# Count active auctions
|
||||
active_count = await db.execute(
|
||||
select(func.count(DomainAuction.id)).where(DomainAuction.is_active == True)
|
||||
)
|
||||
report.auction_active_count = active_count.scalar() or 0
|
||||
|
||||
# Count platforms
|
||||
platforms = await db.execute(
|
||||
select(func.count(func.distinct(DomainAuction.platform))).where(DomainAuction.is_active == True)
|
||||
)
|
||||
report.auction_platforms_count = platforms.scalar() or 0
|
||||
|
||||
# Count auctions with real prices (not from seed data)
|
||||
real_prices = await db.execute(
|
||||
select(func.count(DomainAuction.id)).where(
|
||||
DomainAuction.scrape_source != "seed_data"
|
||||
)
|
||||
)
|
||||
report.auction_with_real_prices = real_prices.scalar() or 0
|
||||
|
||||
# Calculate scrape success rate from logs
|
||||
logs = await db.execute(
|
||||
select(AuctionScrapeLog).order_by(AuctionScrapeLog.started_at.desc()).limit(20)
|
||||
)
|
||||
recent_logs = logs.scalars().all()
|
||||
if recent_logs:
|
||||
success_count = sum(1 for log in recent_logs if log.status == "success")
|
||||
report.auction_scrape_success_rate = (success_count / len(recent_logs)) * 100
|
||||
|
||||
# Calculate overall scores
|
||||
report.calculate_overall_score()
|
||||
|
||||
self.report = report
|
||||
return report
|
||||
|
||||
async def run_full_collection(self) -> DataQualityReport:
|
||||
"""
|
||||
Run complete data collection pipeline.
|
||||
|
||||
1. Collect TLD prices
|
||||
2. Collect auction data
|
||||
3. Analyze data quality
|
||||
4. Generate report
|
||||
"""
|
||||
logger.info("="*60)
|
||||
logger.info("🚀 POUNCE PREMIUM DATA COLLECTION - FULL RUN")
|
||||
logger.info("="*60)
|
||||
|
||||
async with AsyncSessionLocal() as db:
|
||||
# Step 1: TLD Prices
|
||||
tld_result = await self.collect_tld_prices(db)
|
||||
|
||||
# Step 2: Auctions
|
||||
auction_result = await self.collect_auctions(db)
|
||||
|
||||
# Step 3: Analyze
|
||||
report = await self.analyze_data_quality(db)
|
||||
|
||||
# Step 4: Save report to file
|
||||
report_path = Path(__file__).parent.parent / "data" / "quality_reports"
|
||||
report_path.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
report_file = report_path / f"report_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}.json"
|
||||
with open(report_file, "w") as f:
|
||||
json.dump(report.to_dict(), f, indent=2, default=str)
|
||||
|
||||
logger.info(f"📄 Report saved to: {report_file}")
|
||||
|
||||
return report
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# MAIN ENTRY POINT
|
||||
# =============================================================================
|
||||
|
||||
async def main():
|
||||
parser = argparse.ArgumentParser(
|
||||
description="🚀 Pounce Premium Data Collector",
|
||||
formatter_class=argparse.RawDescriptionHelpFormatter,
|
||||
epilog="""
|
||||
Examples:
|
||||
python premium_data_collector.py --full Run complete collection
|
||||
python premium_data_collector.py --tld Collect TLD prices only
|
||||
python premium_data_collector.py --auctions Collect auctions only
|
||||
python premium_data_collector.py --report Generate quality report only
|
||||
"""
|
||||
)
|
||||
|
||||
parser.add_argument("--full", action="store_true", help="Run full data collection")
|
||||
parser.add_argument("--tld", action="store_true", help="Collect TLD prices only")
|
||||
parser.add_argument("--auctions", action="store_true", help="Collect auctions only")
|
||||
parser.add_argument("--report", action="store_true", help="Generate quality report only")
|
||||
parser.add_argument("--quiet", action="store_true", help="Suppress console output")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Default to full if no args
|
||||
if not any([args.full, args.tld, args.auctions, args.report]):
|
||||
args.full = True
|
||||
|
||||
collector = PremiumDataCollector()
|
||||
|
||||
async with AsyncSessionLocal() as db:
|
||||
if args.full:
|
||||
report = await collector.run_full_collection()
|
||||
if not args.quiet:
|
||||
report.print_report()
|
||||
|
||||
elif args.tld:
|
||||
result = await collector.collect_tld_prices(db)
|
||||
print(json.dumps(result, indent=2, default=str))
|
||||
|
||||
elif args.auctions:
|
||||
result = await collector.collect_auctions(db)
|
||||
print(json.dumps(result, indent=2, default=str))
|
||||
|
||||
elif args.report:
|
||||
report = await collector.analyze_data_quality(db)
|
||||
if not args.quiet:
|
||||
report.print_report()
|
||||
else:
|
||||
print(json.dumps(report.to_dict(), indent=2, default=str))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
|
||||
132
backend/scripts/setup_cron.sh
Executable file
132
backend/scripts/setup_cron.sh
Executable file
@ -0,0 +1,132 @@
|
||||
#!/bin/bash
|
||||
# =============================================================================
|
||||
# 🚀 POUNCE AUTOMATED DATA COLLECTION - CRON SETUP
|
||||
# =============================================================================
|
||||
#
|
||||
# This script sets up automated data collection for premium service.
|
||||
#
|
||||
# Schedule:
|
||||
# - TLD Prices: Every 6 hours (0:00, 6:00, 12:00, 18:00)
|
||||
# - Auctions: Every 2 hours
|
||||
# - Quality Report: Daily at 1:00 AM
|
||||
#
|
||||
# Usage:
|
||||
# ./setup_cron.sh # Install cron jobs
|
||||
# ./setup_cron.sh --remove # Remove cron jobs
|
||||
# ./setup_cron.sh --status # Show current cron jobs
|
||||
#
|
||||
# =============================================================================
|
||||
|
||||
set -e
|
||||
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
PROJECT_DIR="$(dirname "$SCRIPT_DIR")"
|
||||
PYTHON_PATH="${PROJECT_DIR}/.venv/bin/python"
|
||||
COLLECTOR_SCRIPT="${SCRIPT_DIR}/premium_data_collector.py"
|
||||
LOG_DIR="${PROJECT_DIR}/logs"
|
||||
|
||||
# Ensure log directory exists
|
||||
mkdir -p "$LOG_DIR"
|
||||
|
||||
# Colors for output
|
||||
RED='\033[0;31m'
|
||||
GREEN='\033[0;32m'
|
||||
YELLOW='\033[1;33m'
|
||||
NC='\033[0m' # No Color
|
||||
|
||||
print_status() {
|
||||
echo -e "${GREEN}[✓]${NC} $1"
|
||||
}
|
||||
|
||||
print_warning() {
|
||||
echo -e "${YELLOW}[!]${NC} $1"
|
||||
}
|
||||
|
||||
print_error() {
|
||||
echo -e "${RED}[✗]${NC} $1"
|
||||
}
|
||||
|
||||
# Cron job definitions
|
||||
CRON_MARKER="# POUNCE_DATA_COLLECTOR"
|
||||
|
||||
TLD_CRON="0 */6 * * * cd ${PROJECT_DIR} && ${PYTHON_PATH} ${COLLECTOR_SCRIPT} --tld --quiet >> ${LOG_DIR}/tld_collection.log 2>&1 ${CRON_MARKER}"
|
||||
AUCTION_CRON="0 */2 * * * cd ${PROJECT_DIR} && ${PYTHON_PATH} ${COLLECTOR_SCRIPT} --auctions --quiet >> ${LOG_DIR}/auction_collection.log 2>&1 ${CRON_MARKER}"
|
||||
REPORT_CRON="0 1 * * * cd ${PROJECT_DIR} && ${PYTHON_PATH} ${COLLECTOR_SCRIPT} --report --quiet >> ${LOG_DIR}/quality_report.log 2>&1 ${CRON_MARKER}"
|
||||
|
||||
install_cron() {
|
||||
echo "🚀 Installing Pounce Data Collection Cron Jobs..."
|
||||
echo ""
|
||||
|
||||
# Check if Python environment exists
|
||||
if [ ! -f "$PYTHON_PATH" ]; then
|
||||
print_error "Python virtual environment not found at: $PYTHON_PATH"
|
||||
echo "Please create it first: python -m venv .venv && .venv/bin/pip install -r requirements.txt"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Check if collector script exists
|
||||
if [ ! -f "$COLLECTOR_SCRIPT" ]; then
|
||||
print_error "Collector script not found at: $COLLECTOR_SCRIPT"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Remove existing Pounce cron jobs first
|
||||
(crontab -l 2>/dev/null | grep -v "$CRON_MARKER") | crontab -
|
||||
|
||||
# Add new cron jobs
|
||||
(crontab -l 2>/dev/null; echo "$TLD_CRON") | crontab -
|
||||
(crontab -l 2>/dev/null; echo "$AUCTION_CRON") | crontab -
|
||||
(crontab -l 2>/dev/null; echo "$REPORT_CRON") | crontab -
|
||||
|
||||
print_status "TLD Price Collection: Every 6 hours"
|
||||
print_status "Auction Collection: Every 2 hours"
|
||||
print_status "Quality Report: Daily at 1:00 AM"
|
||||
echo ""
|
||||
print_status "All cron jobs installed successfully!"
|
||||
echo ""
|
||||
echo "Log files will be written to: ${LOG_DIR}/"
|
||||
echo ""
|
||||
echo "To view current jobs: crontab -l"
|
||||
echo "To remove jobs: $0 --remove"
|
||||
}
|
||||
|
||||
remove_cron() {
|
||||
echo "🗑️ Removing Pounce Data Collection Cron Jobs..."
|
||||
|
||||
(crontab -l 2>/dev/null | grep -v "$CRON_MARKER") | crontab -
|
||||
|
||||
print_status "All Pounce cron jobs removed."
|
||||
}
|
||||
|
||||
show_status() {
|
||||
echo "📋 Current Pounce Cron Jobs:"
|
||||
echo ""
|
||||
|
||||
JOBS=$(crontab -l 2>/dev/null | grep "$CRON_MARKER" || true)
|
||||
|
||||
if [ -z "$JOBS" ]; then
|
||||
print_warning "No Pounce cron jobs found."
|
||||
echo ""
|
||||
echo "Run '$0' to install them."
|
||||
else
|
||||
echo "$JOBS" | while read -r line; do
|
||||
echo " $line"
|
||||
done
|
||||
echo ""
|
||||
print_status "Jobs are active."
|
||||
fi
|
||||
}
|
||||
|
||||
# Main
|
||||
case "${1:-}" in
|
||||
--remove)
|
||||
remove_cron
|
||||
;;
|
||||
--status)
|
||||
show_status
|
||||
;;
|
||||
*)
|
||||
install_cron
|
||||
;;
|
||||
esac
|
||||
|
||||
@ -470,7 +470,7 @@ export default function AuctionsPage() {
|
||||
className="inline-flex items-center gap-2 px-6 py-3 bg-accent text-background text-ui font-medium rounded-xl
|
||||
hover:bg-accent-hover transition-all shadow-lg shadow-accent/20"
|
||||
>
|
||||
Get Started Free
|
||||
Join the Hunt
|
||||
<ArrowUpRight className="w-4 h-4" />
|
||||
</Link>
|
||||
</div>
|
||||
|
||||
@ -137,7 +137,7 @@ export default function BlogPostPage() {
|
||||
className="inline-flex items-center gap-2 px-6 py-3 bg-accent text-background rounded-xl font-medium hover:bg-accent-hover transition-all"
|
||||
>
|
||||
<ArrowLeft className="w-4 h-4" />
|
||||
Back to Blog
|
||||
Back to Briefings
|
||||
</Link>
|
||||
</div>
|
||||
</main>
|
||||
@ -171,7 +171,7 @@ export default function BlogPostPage() {
|
||||
className="inline-flex items-center gap-2 text-foreground-muted hover:text-accent transition-colors mb-10 group"
|
||||
>
|
||||
<ArrowLeft className="w-4 h-4 group-hover:-translate-x-1 transition-transform" />
|
||||
<span className="text-sm font-medium">Back to Blog</span>
|
||||
<span className="text-sm font-medium">Back to Briefings</span>
|
||||
</Link>
|
||||
|
||||
{/* Hero Header */}
|
||||
@ -336,7 +336,7 @@ export default function BlogPostPage() {
|
||||
href="/register"
|
||||
className="inline-flex items-center justify-center gap-2 px-8 py-4 bg-accent text-background rounded-xl font-medium hover:bg-accent-hover transition-all"
|
||||
>
|
||||
Get Started Free
|
||||
Join the Hunt
|
||||
</Link>
|
||||
<Link
|
||||
href="/blog"
|
||||
|
||||
@ -109,7 +109,7 @@ export default function BlogPage() {
|
||||
<div className="max-w-7xl mx-auto">
|
||||
{/* Hero Header */}
|
||||
<div className="text-center mb-20 animate-fade-in">
|
||||
<span className="text-sm font-semibold text-accent uppercase tracking-wider">Domain Intelligence</span>
|
||||
<span className="text-sm font-semibold text-accent uppercase tracking-wider">Field Briefings</span>
|
||||
|
||||
<h1 className="mt-4 font-display text-[2.75rem] sm:text-[4rem] md:text-[5rem] leading-[0.95] tracking-[-0.03em] text-foreground mb-8">
|
||||
The Hunt<br />
|
||||
|
||||
@ -362,7 +362,7 @@ export default function PricingPage() {
|
||||
href={isAuthenticated ? "/dashboard" : "/register"}
|
||||
className="btn-primary inline-flex items-center gap-2 px-6 py-3"
|
||||
>
|
||||
{isAuthenticated ? "Go to Dashboard" : "Get Started Free"}
|
||||
{isAuthenticated ? "Command Center" : "Join the Hunt"}
|
||||
<ArrowRight className="w-4 h-4" />
|
||||
</Link>
|
||||
</div>
|
||||
|
||||
@ -215,7 +215,7 @@ export default function ResetPasswordPage() {
|
||||
return (
|
||||
<Suspense fallback={
|
||||
<main className="min-h-screen flex items-center justify-center">
|
||||
<div className="animate-pulse text-foreground-muted">Loading...</div>
|
||||
<div className="animate-pulse text-foreground-muted">Authenticating...</div>
|
||||
</main>
|
||||
}>
|
||||
<ResetPasswordContent />
|
||||
|
||||
@ -1027,7 +1027,7 @@ export default function TldDetailPage() {
|
||||
href="/register"
|
||||
className="inline-flex items-center gap-2 px-4 py-2 bg-accent text-background text-ui-sm font-medium rounded-lg hover:bg-accent-hover transition-all"
|
||||
>
|
||||
Get Started Free
|
||||
Join the Hunt
|
||||
</Link>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@ -455,7 +455,7 @@ export default function WatchlistPage() {
|
||||
{loadingHistory ? (
|
||||
<div className="flex items-center gap-2 text-foreground-muted">
|
||||
<Loader2 className="w-4 h-4 animate-spin" />
|
||||
<span className="text-sm">Loading...</span>
|
||||
<span className="text-sm">Acquiring targets...</span>
|
||||
</div>
|
||||
) : domainHistory && domainHistory.length > 0 ? (
|
||||
<div className="space-y-2">
|
||||
|
||||
@ -99,7 +99,7 @@ export function Footer() {
|
||||
<ul className="space-y-3">
|
||||
<li>
|
||||
<Link href="/blog" className="text-body-sm text-foreground-muted hover:text-foreground transition-colors">
|
||||
Blog
|
||||
Briefings
|
||||
</Link>
|
||||
</li>
|
||||
<li>
|
||||
|
||||
Reference in New Issue
Block a user