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133 lines
6.6 KiB
133 lines
6.6 KiB
from django.db.models import Q |
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from ai.models import PromptTemplate |
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from ai.utils.show_database import GetData |
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from ai.utils.datetime_format import (get_data_datetime, get_date_type) |
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import datetime |
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import random |
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import json |
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from openai import OpenAI |
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class ShowAI: |
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def __init__(self, cinema_info, show_date): |
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self.cinema = cinema_info |
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# self.cinema_name = cinema_info.name |
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# self.cinema_zz_code = cinema_info.zz_code |
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# self.cinema_db_config = json.loads(cinema_info.db_config) |
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self.user_config = json.loads(cinema_info.user_config) |
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self.show_date = show_date |
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self.prompt = "" |
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self.client = OpenAI( |
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api_key='sk-b7993bf4c8844e79bf84f08f07ff86d9', |
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base_url='https://api.deepseek.com', |
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) |
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# 生成提示词 |
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def general_prompt(self): |
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data = GetData(self.cinema) |
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# 准备各种日期时间 |
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history_start, history_end, target_start, target_end = get_data_datetime(self.show_date) |
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temp = datetime.datetime.strftime(data.get_template_date(history_start, history_end), '%Y-%m-%d') |
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history_date, target_date, target_date_is_holiday, template_date, template_date_is_holiday = get_date_type( |
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self.show_date, temp) |
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# print(history_start, history_end, target_start, target_end, history_date, show_date, template_date) |
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# 开始处理提示词 |
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prompt_list = [] |
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# 处理排片数据 |
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pre_data = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='PreData')).first().prompt_val # 获取提示词模板 |
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pre_data = pre_data.replace('{history_show}', data.get_show_data(history_start, history_end)) # 处理排片数据 |
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pre_data = pre_data.replace('{history_sales}', data.get_sell_data(history_start, history_end)) # 处理销售数据 |
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pre_data = pre_data.replace('{target_already_show}', |
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data.get_show_data(target_start, target_end)) # 处理目标日期已排场次数据 |
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pre_data = pre_data.replace('{reference_date}', history_date) # 处理参考日期 |
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pre_data = pre_data.replace('{template_date}', template_date) # 处理模板日期 |
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pre_data = pre_data.replace('{target_date}', target_date) # 处理目标日期 |
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prompt_list.append(pre_data) |
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# 处理角色说明 |
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role = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='Role')).first().prompt_val # 获取提示词模板 |
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role = role.replace('{template_date}', template_date) |
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prompt_list.append(role) |
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# 处理影片和影厅信息 |
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movie_hall = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='MovieHall')).first().prompt_val # 获取提示词模板 |
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movie_hall = movie_hall.replace('{available_movie}', data.get_available_movie(self.show_date)) # 处理上映影片 |
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movie_hall = movie_hall.replace('{handle_movie}', data.get_handle_movie(self.show_date)) # 处理可排影片 |
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movie_hall = movie_hall.replace('{hall_info}', data.get_hall_media_type()) # 处理影厅信息 |
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free_hall = self.user_config['holiday_date_free_hall'] if target_date_is_holiday else self.user_config[ |
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'holiday_date_free_hall'] |
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movie_hall = movie_hall.replace('{free_hall}', |
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'\t无' if len(free_hall) == 0 else '\n'.join( |
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f'\t{h}；' for h in free_hall)) # 处理不可排片影厅 |
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prompt_list.append(movie_hall) |
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# 处理具体要求 |
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rules = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='Rules')).first().prompt_val # 获取提示词模板 |
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rules = rules.replace('{template_date}', template_date) # 处理模板日期 |
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# 获取新片 |
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new_movie_str_list = [] |
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new_movie = data.get_new_movie(self.show_date) |
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for new in new_movie: |
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new_movie_str_list.append( |
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f"\t增加{new}的场次，建议排{str(random.randint(2, 4))}场，可根据影片热度和口碑适当增加；") |
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rules = rules.replace('{new_movie}', |
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'\t无新片上映' if len(new_movie_str_list) == 0 else '\n'.join( |
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new_movie_str_list)) # 处理新片数据 |
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prompt_list.append(rules) |
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# 处理基本规则 |
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basic = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='Basic')).first().prompt_val # 获取提示词模板 |
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start = self.user_config['holiday_date_start'] if target_date_is_holiday else self.user_config[ |
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'work_date_start'] |
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end = self.user_config['holiday_date_end'] if target_date_is_holiday else self.user_config['work_date_end'] |
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basic = basic.replace('{start}', start) |
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basic = basic.replace('{end}', end) |
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prompt_list.append(basic) |
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# 处理增减场次规则 |
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add_reduce = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='AddReduce')).first().prompt_val # 获取提示词模板 |
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prompt_list.append(add_reduce) |
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# 处理黄金时段 |
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prime_time = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='PrimeTime')).first().prompt_val # 获取提示词模板 |
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prompt_list.append(prime_time) |
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# 处理输出目标 |
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output = PromptTemplate.objects.filter( |
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Q(del_flag=False) & Q(prompt_type='show') & Q(prompt_key='Output')).first().prompt_val # 获取提示词模板 |
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prompt_list.append(output) |
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# 打印提示词 |
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self.prompt = '\n'.join(prompt_list) |
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print(self.prompt) |
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# 关闭数据库连接 |
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data.exit() |
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return self.prompt |
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# 请求AI |
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def get_show_result_ai(self): |
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# 生成提示词 |
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# self.general_prompt() |
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# 与DeepSeek开始对话 |
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print("与DeepSeek开始对话") |
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response = self.client.chat.completions.create( |
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model='deepseek-v4-pro', |
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messages=[ |
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{'role': 'system', 'content': 'You are a helpful assistant'}, |
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{'role': 'user', 'content': self.prompt}, |
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], |
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stream=False, |
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reasoning_effort="high", |
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extra_body={"thinking": {"type": "enabled"}} |
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) |
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# print(dict(response)) |
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# print(response.choices[0].message.content) |
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return response.choices[0].message.content, response.model_dump_json(), response.usage.model_dump_json()
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