Initial commit: Eurojackpot analysis and prediction system
This repository contains a comprehensive Eurojackpot lottery analysis and prediction system including: - Historical data analysis and processing - ML-based prediction models - Automated weekly tip generation - Position and range analysis tools - Notification system for results 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Claude Sonnet 4.5
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#!/usr/bin/env python3
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"""
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Einfacher Eurojackpot Data Updater
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Manuelle Eingabe oder CSV-Import von neuen Ziehungen.
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Perfekt als Fallback wenn Web-Scraping nicht funktioniert.
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"""
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import pandas as pd
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from datetime import datetime
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import shutil
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import os
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def load_existing_data(data_file):
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"""Lädt existierende Daten."""
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print("📂 Lade existierende Daten...")
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if not os.path.exists(data_file):
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print(" ⚠️ Datei existiert nicht - erstelle neue")
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return pd.DataFrame(columns=['datum', 'Z1', 'Z2', 'Z3', 'Z4', 'Z5', 'SZ1', 'SZ2'])
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df = pd.read_csv(data_file, sep=';')
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df['datum'] = pd.to_datetime(df['datum'], format='%Y-%m-%d', errors='coerce')
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print(f" ✅ {len(df)} Ziehungen geladen")
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if len(df) > 0:
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print(f" 📅 Neueste: {df['datum'].max().strftime('%Y-%m-%d')}")
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return df
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def create_backup(data_file):
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"""Erstellt Backup."""
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if not os.path.exists(data_file):
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return
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print("\n💾 Erstelle Backup...")
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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backup_dir = os.path.join(os.path.dirname(data_file), "backups")
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os.makedirs(backup_dir, exist_ok=True)
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backup_file = os.path.join(backup_dir, f"{os.path.basename(data_file)}.backup_{timestamp}")
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shutil.copy2(data_file, backup_file)
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print(f" ✅ Backup: {os.path.basename(backup_file)}")
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def manual_input_mode():
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"""Manuelle Eingabe von Ziehungen."""
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print("\n⌨️ MANUELLE EINGABE")
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print("=" * 70)
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print("Format: YYYY-MM-DD Z1 Z2 Z3 Z4 Z5 SZ1 SZ2")
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print("Beispiel: 2025-01-24 7 18 26 37 46 3 11")
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print("Leer lassen zum Beenden.\n")
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draws = []
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while True:
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user_input = input(f"Ziehung {len(draws) + 1}: ").strip()
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if not user_input:
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break
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try:
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parts = user_input.split()
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if len(parts) != 8:
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print(" ❌ Ungültiges Format. Bitte 8 Werte eingeben.")
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continue
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date_obj = datetime.strptime(parts[0], '%Y-%m-%d')
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numbers = [int(parts[i]) for i in range(1, 6)]
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euro_numbers = [int(parts[i]) for i in range(6, 8)]
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# Validierung
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if not all(1 <= n <= 50 for n in numbers):
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print(" ❌ Hauptzahlen müssen zwischen 1 und 50 liegen.")
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continue
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if not all(1 <= n <= 12 for n in euro_numbers):
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print(" ❌ Eurozahlen müssen zwischen 1 und 12 liegen.")
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continue
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if len(set(numbers)) != 5:
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print(" ❌ Hauptzahlen müssen eindeutig sein.")
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continue
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if len(set(euro_numbers)) != 2:
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print(" ❌ Eurozahlen müssen eindeutig sein.")
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continue
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# Sortiere Zahlen
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numbers_sorted = sorted(numbers)
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euro_sorted = sorted(euro_numbers)
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draws.append({
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'datum': date_obj,
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'Z1': numbers_sorted[0],
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'Z2': numbers_sorted[1],
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'Z3': numbers_sorted[2],
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'Z4': numbers_sorted[3],
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'Z5': numbers_sorted[4],
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'SZ1': euro_sorted[0],
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'SZ2': euro_sorted[1]
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})
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print(f" ✅ Hinzugefügt: {date_obj.strftime('%Y-%m-%d')} | "
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f"{numbers_sorted[0]}-{numbers_sorted[1]}-{numbers_sorted[2]}-{numbers_sorted[3]}-{numbers_sorted[4]} | "
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f"{euro_sorted[0]}-{euro_sorted[1]}")
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except ValueError as e:
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print(f" ❌ Fehler: {e}")
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continue
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return draws
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def csv_import_mode():
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"""CSV-Import von Ziehungen."""
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print("\n📁 CSV-IMPORT")
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print("=" * 70)
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print("CSV-Format: datum;Z1;Z2;Z3;Z4;Z5;SZ1;SZ2")
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print("Beispiel: 2025-01-24;7;18;26;37;46;3;11\n")
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csv_file = input("Pfad zur CSV-Datei: ").strip()
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if not os.path.exists(csv_file):
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print(f" ❌ Datei nicht gefunden: {csv_file}")
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return []
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try:
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df_import = pd.read_csv(csv_file, sep=';')
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df_import['datum'] = pd.to_datetime(df_import['datum'], format='%Y-%m-%d', errors='coerce')
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draws = df_import.to_dict('records')
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print(f" ✅ {len(draws)} Ziehungen aus CSV geladen")
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# Zeige erste 3
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for i, draw in enumerate(draws[:3]):
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print(f" {i+1}. {draw['datum'].strftime('%Y-%m-%d')} | "
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f"{draw['Z1']}-{draw['Z2']}-{draw['Z3']}-{draw['Z4']}-{draw['Z5']} | "
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f"{draw['SZ1']}-{draw['SZ2']}")
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if len(draws) > 3:
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print(f" ... und {len(draws) - 3} weitere")
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return draws
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except Exception as e:
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print(f" ❌ Fehler beim Laden: {e}")
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return []
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def merge_and_save(df_existing, new_draws, data_file):
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"""Merged und speichert Daten."""
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if not new_draws:
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print("\n⚠️ Keine neuen Ziehungen zum Hinzufügen")
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return False
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print(f"\n🔀 Merge {len(new_draws)} neue Ziehung(en)...")
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df_new = pd.DataFrame(new_draws)
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df_combined = pd.concat([df_existing, df_new], ignore_index=True)
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# Duplikate entfernen
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before = len(df_combined)
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df_combined = df_combined.drop_duplicates(subset=['datum'], keep='first')
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after = len(df_combined)
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if before - after > 0:
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print(f" 🗑️ {before - after} Duplikat(e) entfernt")
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# Sortieren
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df_combined = df_combined.sort_values('datum', ascending=True).reset_index(drop=True)
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# Speichern
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print(f"\n💾 Speichere {len(df_combined)} Ziehungen...")
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df_export = df_combined.copy()
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df_export['datum'] = df_export['datum'].dt.strftime('%Y-%m-%d')
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df_export.to_csv(data_file, sep=';', index=False)
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print(f" ✅ Gespeichert: {data_file}")
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print(f" 📊 Vorher: {len(df_existing)} | Neu: {len(df_combined) - len(df_existing)} | Gesamt: {len(df_combined)}")
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return True
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def main():
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"""Hauptfunktion."""
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print()
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print("=" * 70)
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print(" EUROJACKPOT SIMPLE UPDATER")
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print(" Manuelle Eingabe oder CSV-Import")
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print("=" * 70)
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print()
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# Datei-Pfad
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default_file = "/Users/sebastianfrohlich/Library/Mobile Documents/com~apple~CloudDocs/Jupyter Notebooks/Eurojackpot/data/AlleEurojackpotzahlen.csv"
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print(f"Standard-Datei: {default_file}")
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use_default = input("\nStandard verwenden? (j/n): ").strip().lower()
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if use_default in ['j', 'ja', 'y', 'yes', '']:
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data_file = default_file
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else:
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data_file = input("Pfad zur Datei: ").strip()
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print()
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# Lade existierende Daten
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df_existing = load_existing_data(data_file)
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# Backup
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create_backup(data_file)
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# Eingabe-Modus wählen
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print("\n📝 EINGABE-MODUS")
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print("=" * 70)
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print("1. Manuelle Eingabe (einzelne Ziehungen)")
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print("2. CSV-Import (mehrere Ziehungen)")
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print()
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mode = input("Wahl (1/2): ").strip()
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if mode == '2':
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new_draws = csv_import_mode()
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else:
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new_draws = manual_input_mode()
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# Merge und speichern
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success = merge_and_save(df_existing, new_draws, data_file)
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print()
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print("=" * 70)
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if success:
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print("✅ UPDATE ERFOLGREICH")
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else:
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print("⚠️ KEINE ÄNDERUNGEN")
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print("=" * 70)
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if __name__ == "__main__":
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main()
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