아침 공부…

import logging
from .models import Quest
from datetime import timedelta
import openai, random

openai.api_key = "sk-proj-Mvq2HLSZo0FmHsOP49hcT3BlbkFJulzKwqczqk6uBZ0ID4wW"

logger = logging.getLogger(__name__)

keywords = {
    '운동': ['exercise', 'workout', 'run', 'walk', 'weight training', 'stretch'],
    '사회공헌': ['volunteer', 'donations', 'talent donation', 'mentorship', 'support'],
    '자기개발': ['learn', 'skill', 'read', 'study', 'research'],
    '명상': ['meditate', 'relax', 'breathe', 'mindfulness', 'meditation']
}

def determine_quest_type(quest_text):
    for quest_type, words in keywords.items():
        if any(word in quest_text.lower() for word in words):
            return quest_type
    return random.choice(list(keywords.keys()))  # 기타가 아닌 랜덤으로 키워드 중 하나 선택

def determine_complete_time(quest_text):
    time_keywords = {
        'short': ['quick', 'short', 'few minutes', '10 minutes', '15 minutes'],
        'medium': ['moderate', 'half an hour', '30 minutes', '45 minutes'],
        'long': ['long', 'one hour', '1 hour', 'two hours', '2 hours']
    }

    for duration, words in time_keywords.items():
        if any(word in quest_text.lower() for word in words):
            if duration == 'short':
                return timedelta(minutes=15)
            elif duration == 'medium':
                return timedelta(minutes=45)
            elif duration == 'long':
                return timedelta(hours=1, minutes=30)
    return timedelta(minutes=30)  # 기본값을 30분으로 설정

def generate_quests(user, diary):
    hero_name = user.hero_name
    diary_contents = diary.contents
    quest_types = list(keywords.keys())

    # 다섯 가지 키워드 중 랜덤으로 하나를 선택
    selected_quest_type = random.choice(quest_types)
    selected_keyword = random.choice(keywords[selected_quest_type])

    # 답변 예시
    example_responses = {
        '운동': [
            "30분 달리기",
            "60분 웨이트트레이닝하기",
            "20분 요가하기",
            "10분 스트레칭하기"
        ],
        '사회공헌': [
            "120분 봉사하기",
            "30분간 재능기부하기",
            "1시간 동안 음식 나누기",
            "기부를 위한 1시간 모금 활동"
        ],
        '자기개발': [
            "60분 파이썬 공부하기",
            "30분 독서하기",
            "45분 온라인 강의 듣기",
            "새로운 기술 1시간 연습하기"
        ],
        '명상': [
            "15분 명상하기",
            "30분 심호흡하기",
            "20분 요가와 명상하기",
            "10분 마음 챙김 연습하기"
        ]
    }
    example = random.choice(example_responses[selected_quest_type])

    prompt = f"Create a quest related to {selected_quest_type} in korean for a hero named {hero_name} based on the following diary entry: {diary_contents}. The quest should realistically include elements such as {selected_keyword}. An example quest could be: '{example}'. Please generate one quest only."

    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a quest generator for a hero."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=500,
        n=1,  # 한 번에 하나의 퀘스트만 생성
        temperature=0.7,
    )

    quests = response.choices
    quest_objects = []
    for quest in quests:
        quest_text = quest['message']['content'].strip().split('\n')[0]
        quest_type = determine_quest_type(quest_text)
        complete_time = determine_complete_time(quest_text)
        quest_object = Quest(contents=quest_text, user=user, type=quest_type, complete_time=complete_time)
        quest_objects.append(quest_object)

    # 로그에 생성된 퀘스트 출력
    logger.debug(f"Generated quest for user {user.user_name}: {quest_objects}")

    # 콘솔에 생성된 퀘스트 출력
    for quest_object in quest_objects:
        print(f"의뢰: {quest_object.contents}, 유형형: {quest_object.type}, Time: {quest_object.complete_time}")

    return quest_objects

import logging
from .models import Quest
from datetime import timedelta
import openai, random

openai.api_key = "sk-proj-Mvq2HLSZo0FmHsOP49hcT3BlbkFJulzKwqczqk6uBZ0ID4wW"

logger = logging.getLogger(__name__)

keywords = {
    '운동': ['exercise', 'workout', 'run', 'walk', 'weight training', 'stretch'],
    '사회공헌': ['volunteer', 'donations', 'talent donation', 'mentorship', 'support'],
    '자기개발': ['learn', 'skill', 'read', 'study', 'research'],
    '명상': ['meditate', 'relax', 'breathe', 'mindfulness', 'meditation'],
    '취미': ['your own hobby', 'paint', 'draw', 'music', 'play', 'sports']
}

def determine_quest_type(quest_text):
    for quest_type, words in keywords.items():
        if any(word in quest_text.lower() for word in words):
            return quest_type
    return '기타'

def determine_complete_time(quest_text):
    time_keywords = {
        'short': ['quick', 'short', 'few minutes', '10 minutes', '15 minutes'],
        'medium': ['moderate', 'half an hour', '30 minutes', '45 minutes'],
        'long': ['long', 'one hour', '1 hour', 'two hours', '2 hours']
    }

    for duration, words in time_keywords.items():
        if any(word in quest_text.lower() for word in words):
            if duration == 'short':
                return timedelta(minutes=15)
            elif duration == 'medium':
                return timedelta(minutes=45)
            elif duration == 'long':
                return timedelta(hours=1, minutes=30)
    return timedelta(minutes=30)  # 기본값을 30분으로 설정

def generate_quests(user, diary):
    hero_name = user.hero_name
    diary_contents = diary.contents
    quest_types = list(keywords.keys())

    # 다섯 가지 키워드 중 랜덤으로 하나를 선택
    selected_quest_type = random.choice(quest_types)
    selected_keyword = random.choice(keywords[selected_quest_type])

    # 답변 예시
    example_responses = {
        '운동': [
            "30분 달리기",
            "60분 웨이트트레이닝하기"
        ],
        '사회공헌': [
            "120분 봉사하기",
            "30분간 재능기부하기"
        ],
        '자기개발': [
            "60분 파이썬 공부하기",
            "30분 독서하기"
        ],
        '명상': [
            "15분 명상하기",
            "30분 심호흡하기"
        ],
        '취미': [
            "30분 그림 그리기",
            "60분 나만의 취미하기"
        ]
    }
    example = random.choice(example_responses[selected_quest_type])

    prompt = f"Create a quest related to {selected_quest_type} in korean for a hero named {hero_name} based on the following diary entry: {diary_contents}. The quest should realistically include elements such as {selected_keyword}. An example quest could be: '{example}'. Please generate one quest only."

    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a quest generator for a hero."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=500,
        n=3,
        temperature=0.7,
    )

    quests = response.choices
    quest_objects = []
    for quest in quests:
        quest_text = quest.message['content'].strip().split('\n')[0]
        quest_type = determine_quest_type(quest_text)
        complete_time = determine_complete_time(quest_text)
        quest_object = Quest(contents=quest_text, user=user, type=quest_type, complete_time=complete_time)
        quest_objects.append(quest_object)

    # 로그에 생성된 퀘스트 출력
    logger.debug(f"Generated quest for user {user.user_name}: {quest_object}")

    # 콘솔에 생성된 퀘스트 출력
    print(f"Quest: {quest_object.contents}, Type: {quest_object.type}, Time: {quest_object.complete_time}")

    return quest_objects