guild_members = pd.DataFrame({ 'member_id': [1, 2, 3], 'skills': [['melee', 'strength'], ['agility', 'perception'], ['intelligence', 'magic']], 'level': [10, 12, 8] })
# Example usage: guild_member = guild_members.iloc[0] best_quest = match_quests(guild_member, quests) print(f"Recommended quest: {best_quest['quest_id']}") Our Adventurer Guild v1.54-P2P
def match_quests(guild_member, quests): # Calculate similarity between guild member skills and quest requirements similarities = [] for quest in quests: similarity = len(set(guild_member['skills']) & set(quest['required_skills'])) similarities.append(similarity) # Return quest with highest similarity best_quest_index = similarities.index(max(similarities)) return quests.iloc[best_quest_index] guild_members = pd