import os
import json
from datetime import datetime
from django.http import HttpRequest
from django.shortcuts import render, redirect
from django.urls import reverse
from Appointment.models import Room
from Appointment.utils.identity import identity_check
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@identity_check(redirect_field_name='origin')
def summary(request): # 主页
Pid = ""
try:
if not Pid:
Pid = request.user.username
with open(f'Appointment/summary_info/{Pid}.txt', 'r', encoding='utf-8') as fp:
myinfo = json.load(fp)
except:
return redirect(reverse("Appointment:logout"))
Rid_list = {room.Rid: room.Rtitle.split(
'(')[0] for room in Room.objects.all()}
# page 0
Sname = myinfo['Sname']
# page 1
all_appoint_num = 12649
all_appoint_len = 19268.17
all_appoint_len_day = round(all_appoint_len/24)
# page 2
appoint_make_num = int(myinfo['appoint_make_num'])
appoint_make_num_pct = myinfo['rank_num']
appoint_make_hour = round(myinfo['appoint_make_hour'], 2)
appoint_make_hour_pct = myinfo['rank_hour']
appoint_attend_num = int(myinfo['appoint_attend_num'])
appoint_attend_hour = round(myinfo['appoint_attend_hour'], 2)
# page 3
hottest_room_1 = ['B214', Rid_list['B214'], 1952]
hottest_room_2 = ['B220', Rid_list['B220'], 1715]
hottest_room_3 = ['B221', Rid_list['B221'], 1661]
# page 4
Sfav_room_id = myinfo['favourite_room_id']
if Sfav_room_id:
Sfav_room_name = Rid_list[Sfav_room_id]
Sfav_room_freq = int(myinfo['favourite_room_freq'])
# page 5
Smake_time_most = myinfo['make_time_most']
if Smake_time_most:
Smake_time_most = int(Smake_time_most)
try:
Suse_time_list = myinfo['use_time_list'].split(';')
except:
Suse_time_list = [0]*24
Suse_time_list = list(map(lambda x: int(x), Suse_time_list))
try:
Suse_time_most = Suse_time_list.index(max(Suse_time_list))
except:
Suse_time_most = -1
Suse_time_list_js = json.dumps(Suse_time_list[6:])
Suse_time_list_label = [str(i) for i in range(6, 24)]
Suse_time_list_label_js = json.dumps(Suse_time_list_label)
# page 6
Sfirst_appoint = myinfo['first_appoint']
if Sfirst_appoint:
Sfirst_appoint = Sfirst_appoint.split('|')
Sfirst_appoint.append(Rid_list[Sfirst_appoint[4]])
# page 7
Skeywords = myinfo['usage']
if Skeywords:
Skeywords = Skeywords.split('|')
Skeywords_for_len = Skeywords.copy()
if '' in Skeywords_for_len:
Skeywords_for_len.remove('')
Skeywords_len = len(Skeywords_for_len)
else:
Skeywords_len = 0
# page 8
Sfriend = myinfo['friend']
if Sfriend == '':
Sfriend = None
if Sfriend:
Sfriend = Sfriend.split(';')
# page 9 熬夜冠军
aygj = myinfo['aygj']
if aygj:
aygj = aygj.split('|')
aygj_num = 80
# page 10 早起冠军
zqgj = myinfo['zqgj']
if zqgj:
zqgj = zqgj.split('|')
# print(zqgj)
zqgj.insert(6, Rid_list[zqgj[5]])
zqgj_num = 109
# page 11 未雨绸缪
wycm = myinfo['wycm']
wycm_num = 44
# page 12 极限操作
jxcz = myinfo['jxcz']
if jxcz:
jxcz = jxcz.split('|')
jxcz.insert(6, Rid_list[jxcz[5]])
jxcz_num = 102
# page 13 元培鸽王
ypgw = myinfo['ypgw']
ypgw_num = 22
# page 14 新功能预告
return render(request, 'Appointment/summary.html', locals())
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def summary2021(request: HttpRequest):
# 年度总结
from dm.summary import generic_info, person_info
base_dir = 'test_data'
logged_in = request.user.is_authenticated
if logged_in:
username = request.session.get("NP", "")
if username:
from app.utils import update_related_account_in_session
update_related_account_in_session(request, username, shift=True)
is_freshman = request.user.username.startswith('22')
user_accept = request.GET.get('accept') == 'true'
infos = generic_info()
infos.update(
logged_in=logged_in,
is_freshman=is_freshman,
user_accept=user_accept,
)
if user_accept and logged_in and not is_freshman:
try:
infos.update(person_info(request.user))
with open(os.path.join(base_dir, 'rank_info.json')) as f:
rank_info = json.load(f)
sid = request.user.username
for k in ['co_pct', 'func_appoint_pct', 'discuss_appoint_pct']:
infos[k] = rank_info[k].index(
sid) * 100 // len(rank_info[k])
except:
pass
else:
try:
example_file = os.path.join(base_dir, 'example.json')
with open(example_file) as f:
infos.update(json.load(f))
except:
pass
return render(request, 'Appointment/summary2021.html', infos)
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def summary2023(request: HttpRequest):
# 2023年度总结
base_dir = 'static/Appointment/assets/summary_data/summary2023'
logged_in = request.user.is_authenticated
if logged_in:
username = request.session.get("NP", "")
if username:
from app.utils import update_related_account_in_session
update_related_account_in_session(request, username, shift=True)
user_accept = request.GET.get('accept') == 'true'
user_cancel = request.GET.get('cancel') == 'true'
infos = {}
infos.update(logged_in=logged_in, user_accept=user_accept, user_cancel=user_cancel)
if not user_accept or not logged_in or user_cancel:
# 新生/不接受协议/未登录 展示样例
example_file = os.path.join(base_dir, 'template.json')
with open(example_file) as f:
infos.update(json.load(f))
if logged_in:
with open(os.path.join(base_dir, 'summary2023.json'), 'r') as f:
infos.update(home_Sname=json.load(f)[request.user.username].get('Sname', ''))
else:
# 读取年度总结中该用户的个人数据
with open(os.path.join(base_dir, 'summary2023.json'), 'r') as f:
infos.update(json.load(f)[request.user.username])
infos.update(home_Sname = infos['Sname'])
# 读取年度总结中该用户的排名数据
with open(os.path.join(base_dir, 'rank2023.json'), 'r') as f:
infos.update(json.load(f)[request.user.username])
# 读取年度总结中所有用户的总体数据
with open(os.path.join(base_dir, 'summary_overall_2023.json'), 'r') as f:
infos.update(json.load(f))
# 将数据中缺少的项利用white-template中的默认值补齐
with open(os.path.join(base_dir, 'white-template.json'), 'r') as f:
white_template = json.load(f)
for key, value in white_template.items():
if key not in infos.keys():
infos[key] = value
# 计算用户自注册起至今过去的天数
_date_joint = datetime.fromisoformat(infos['date_joined'])
_date_now = datetime.now()
days_passed = (_date_now - _date_joint).days
infos.update(days_passed=days_passed)
# 处理导出的最常预约研讨室/功能室的数据格式是单元素list的情况
Function_appoint_most_room = infos.get('Function_appoint_most_room')
if Function_appoint_most_room is not None:
if isinstance(Function_appoint_most_room, list):
if Function_appoint_most_room:
infos['Function_appoint_most_room'] = Function_appoint_most_room[0]
else:
infos['Function_appoint_most_room'] = ''
Discuss_appoint_most_room = infos.get('Discuss_appoint_most_room')
if Discuss_appoint_most_room is not None:
if isinstance(Discuss_appoint_most_room, list):
if Discuss_appoint_most_room:
infos['Discuss_appoint_most_room'] = Discuss_appoint_most_room[0]
else:
infos['Discuss_appoint_most_room'] = ''
# 将导出数据中iosformat的日期转化为只包含年、月、日的文字
if infos.get('Discuss_appoint_longest_day'): # None or ''
Discuss_appoint_longest_day = datetime.fromisoformat(infos['Discuss_appoint_longest_day'])
infos['Discuss_appoint_longest_day'] = Discuss_appoint_longest_day.strftime("%Y年%m月%d日")
if infos.get('Function_appoint_longest_day'):
Function_appoint_longest_day = datetime.fromisoformat(infos['Function_appoint_longest_day'])
infos['Function_appoint_longest_day'] = Function_appoint_longest_day.strftime("%Y年%m月%d日")
# 对最长研讨室/功能室预约的小时数向下取整
if infos.get('Discuss_appoint_longest_duration'):
Discuss_appoint_longest_day_hours = infos['Discuss_appoint_longest_duration'].split('小时')[0]
infos.update(Discuss_appoint_longest_day_hours = Discuss_appoint_longest_day_hours)
else:
infos.update(Discuss_appoint_longest_day_hours = 0)
if infos.get('Function_appoint_longest_duration'):
Function_appoint_longest_day_hours = infos['Function_appoint_longest_duration'].split('小时')[0]
infos.update(Function_appoint_longest_day_hours = Function_appoint_longest_day_hours)
else:
infos.update(Function_appoint_longest_day_hours = 0)
# 处理导出共同预约关键词数据格式为[co_keyword, appear_num]的情况
if infos.get('co_keyword'):
if isinstance(infos.get('co_keyword'), list):
if infos['co_keyword']:
co_keyword, num = infos['co_keyword']
infos['co_keyword'] = co_keyword
else:
infos['co_keyword'] = ''
# 将list格式的top3最热门课程转化为一个字符串
hottest_courses_23_fall_dict = infos['hottest_courses_23_Fall']
hottest_course_names_23_fall = '\n'.join([list(dic.keys())[0] for dic in hottest_courses_23_fall_dict])
infos.update(hottest_course_names_23_fall=hottest_course_names_23_fall)
hottest_courses_23_spring_dict = infos['hottest_courses_23_Spring']
hottest_course_names_23_spring = '\n'.join([list(dic.keys())[0] for dic in hottest_courses_23_spring_dict])
infos.update(hottest_course_names_23_spring=hottest_course_names_23_spring)
# 根据最长连续签到天数授予用户称号
max_consecutive_days = infos.get('max_consecutive_days')
if max_consecutive_days is not None:
if max_consecutive_days <= 3:
infos.update(consecutive_days_name='初探新世界')
elif max_consecutive_days <= 7:
infos.update(consecutive_days_name='到此一游')
elif max_consecutive_days <= 15:
infos.update(consecutive_days_name='常住居民')
else:
infos.update(consecutive_days_name='永恒真爱粉')
else:
infos.update(consecutive_days_name='')
# 处理用户创建学生小组过多的情况
if infos.get('myclub_name'):
myclub_name_list = infos['myclub_name'].split('，')
if len(myclub_name_list) > 3:
myclub_name_list = myclub_name_list[:3]
infos.update(myclub_name='，'.join(myclub_name_list) + '等')
# 处理用户担任admin职务的小组数过多的情况
if infos.get('admin_org_names'):
admin_org_names = infos['admin_org_names']
if len(admin_org_names) > 3:
admin_org_names = admin_org_names[:3]
infos.update(admin_org_names_str='，'.join(admin_org_names) + '等')
else:
infos.update(admin_org_names_str='，'.join(admin_org_names))
else:
infos.update(admin_org_names_str='')
# 将小组活动预约top3关键词由list转为一个string
if infos.get('act_top_three_keywords'):
act_top_three_keywords = infos['act_top_three_keywords']
infos.update(act_top_three_keywords_str='，'.join(act_top_three_keywords))
else:
infos.update(act_top_three_keywords_str='')
# 根据参加小组活动最频繁时间段授予用户称号
most_act_common_hour = infos.get('most_act_common_hour')
if most_act_common_hour is not None:
if most_act_common_hour <= 10:
infos.update(most_act_common_hour_name='用相聚开启元气满满的一天')
elif most_act_common_hour <= 13:
infos.update(most_act_common_hour_name='不如再用一顿美食为这次相聚做个注脚')
elif most_act_common_hour <= 16:
infos.update(most_act_common_hour_name='突击检查，瞌睡虫有没有出现？')
elif most_act_common_hour <= 18:
infos.update(most_act_common_hour_name='此刻的欢畅还有落霞余晖作伴')
elif most_act_common_hour <= 23:
infos.update(most_act_common_hour_name='夜色深沉时，每一个细胞都在期待着相约相聚')
else:
infos.update(most_act_common_hour_name='让星月陪我们狂歌竞夜')
else:
infos.update(most_act_common_hour_name='')
# 计算参与的学生小组+书院课程小组数
infos.update(club_course_num=infos.get('club_num', 0)+infos.get('course_org_num', 0))
# 根据已选修书院课程种类数授予成就
type_count = infos.get('type_count', 0)
if type_count == 5:
infos.update(type_count_name='五边形战士')
elif type_count >= 2:
infos.update(type_count_name='广泛涉猎')
elif type_count == 1:
infos.update(type_count_name='垂直深耕')
else:
infos.update(type_count_name='你先别急')
# 计算2023年两学期平均书院课程预选数和选中数
avg_preelect_num = (infos['preelect_course_23fall_num'] + infos['preelect_course_23spring_num']) / 2
avg_elected_num = (infos['elected_course_23fall_num'] + infos['elected_course_23spring_num']) / 2
infos.update(avg_preelect_num=avg_preelect_num, avg_elected_num=avg_elected_num)
# 根据盲盒中奖率授予成就
mystery_boxes_num = infos['mystery_boxes_num']
# 处理导出数据中的typo
if 'lukcy_mystery_boxes_num' in infos.keys():
lucky_mystery_boxes_num = infos.pop('lukcy_mystery_boxes_num')
infos.update(lucky_mystery_boxes_num=lucky_mystery_boxes_num)
lucky_mystery_boxes_num = infos['lucky_mystery_boxes_num']
# 防止除零错误
if (lucky_mystery_boxes_num != 0):
lucky_rate = mystery_boxes_num / lucky_mystery_boxes_num
if lucky_rate >= 0.5:
infos.update(mystery_boxes_name='恭迎欧皇加冕')
else:
infos.update(mystery_boxes_name='发出尖锐爆鸣的非酋')
else:
infos.update(mystery_boxes_name='')
return render(request, 'Appointment/summary2023.html', infos)
[文档]
def summary2024(request: HttpRequest):
# 2024年度总结
base_dir = 'static/Appointment/assets/summary_data/summary2024'
logged_in = request.user.is_authenticated
if logged_in:
username = request.session.get("NP", "")
if username:
from app.utils import update_related_account_in_session
update_related_account_in_session(request, username, shift=True)
user_accept = request.GET.get('accept') == 'true'
user_cancel = request.GET.get('cancel') == 'true'
infos = {}
infos.update(logged_in=logged_in, user_accept=user_accept, user_cancel=user_cancel)
if not user_accept or not logged_in or user_cancel:
# 新生/不接受协议/未登录 展示样例
example_file = os.path.join(base_dir, 'template.json')
with open(example_file ,encoding='utf-8') as f:
infos.update(json.load(f))
if logged_in:
with open(os.path.join(base_dir, 'summary2024.json'), 'r', encoding='utf-8') as f:
infos.update(home_Sname=json.load(f)[request.user.username].get('Sname', ''))
else:
# 读取年度总结中该用户的个人数据
with open(os.path.join(base_dir, 'summary2024.json'), 'r', encoding='utf-8') as f:
infos.update(json.load(f)[request.user.username])
infos.update(home_Sname = infos['Sname'])
# 读取年度总结中该用户的排名数据
with open(os.path.join(base_dir, 'rank2024.json'), 'r', encoding='utf-8') as f:
infos.update(json.load(f)[request.user.username])
# 读取年度总结中所有用户的总体数据
with open(os.path.join(base_dir, 'summary_overall_2024.json'), 'r', encoding='utf-8') as f:
infos.update(json.load(f))
# 将数据中缺少的项利用white-template中的默认值补齐
with open(os.path.join(base_dir, 'white-template.json'), 'r', encoding='utf-8') as f:
white_template = json.load(f)
for key, value in white_template.items():
if key not in infos.keys():
infos[key] = value
# 计算用户自注册起至今过去的天数
_date_joint = datetime.fromisoformat(infos['date_joined'])
_date_now = datetime.now()
days_passed = (_date_now - _date_joint).days
infos.update(days_passed=days_passed)
# 处理导出的最常预约研讨室/功能室的数据格式是单元素list的情况
Function_appoint_most_room = infos.get('Function_appoint_most_room')
if Function_appoint_most_room is not None:
if isinstance(Function_appoint_most_room, list):
if Function_appoint_most_room:
infos['Function_appoint_most_room'] = Function_appoint_most_room[0]
else:
infos['Function_appoint_most_room'] = ''
Discuss_appoint_most_room = infos.get('Discuss_appoint_most_room')
if Discuss_appoint_most_room is not None:
if isinstance(Discuss_appoint_most_room, list):
if Discuss_appoint_most_room:
infos['Discuss_appoint_most_room'] = Discuss_appoint_most_room[0]
else:
infos['Discuss_appoint_most_room'] = ''
# 将导出数据中iosformat的日期转化为只包含年、月、日的文字
if infos.get('Discuss_appoint_longest_day'): # None or ''
Discuss_appoint_longest_day = datetime.fromisoformat(infos['Discuss_appoint_longest_day'])
infos['Discuss_appoint_longest_day'] = Discuss_appoint_longest_day.strftime("%Y年%m月%d日")
if infos.get('Function_appoint_longest_day'):
Function_appoint_longest_day = datetime.fromisoformat(infos['Function_appoint_longest_day'])
infos['Function_appoint_longest_day'] = Function_appoint_longest_day.strftime("%Y年%m月%d日")
# 对最长研讨室/功能室预约的小时数向下取整
if infos.get('Discuss_appoint_longest_duration'):
Discuss_appoint_longest_day_hours = infos['Discuss_appoint_longest_duration'].split('小时')[0]
infos.update(Discuss_appoint_longest_day_hours = Discuss_appoint_longest_day_hours)
else:
infos.update(Discuss_appoint_longest_day_hours = 0)
if infos.get('Function_appoint_longest_duration'):
Function_appoint_longest_day_hours = infos['Function_appoint_longest_duration'].split('小时')[0]
infos.update(Function_appoint_longest_day_hours = Function_appoint_longest_day_hours)
else:
infos.update(Function_appoint_longest_day_hours = 0)
# 处理导出共同预约关键词数据格式为[co_keyword, appear_num]的情况
if infos.get('co_keyword'):
if isinstance(infos.get('co_keyword'), list):
if infos['co_keyword']:
co_keyword, num = infos['co_keyword']
infos['co_keyword'] = co_keyword
else:
infos['co_keyword'] = ''
# 将list格式的top3最热门课程转化为一个字符串
hottest_courses_23_fall_dict = infos['hottest_courses_24_Fall']
hottest_course_names_23_fall = '\n'.join([list(dic.keys())[0] for dic in hottest_courses_23_fall_dict])
infos.update(hottest_course_names_23_fall=hottest_course_names_23_fall)
hottest_courses_23_spring_dict = infos['hottest_courses_24_Spring']
hottest_course_names_23_spring = '\n'.join([list(dic.keys())[0] for dic in hottest_courses_23_spring_dict])
infos.update(hottest_course_names_23_spring=hottest_course_names_23_spring)
# 处理用户创建学生小组过多的情况
if infos.get('myclub_name'):
myclub_name_list = infos['myclub_name'].split('，')
if len(myclub_name_list) > 3:
myclub_name_list = myclub_name_list[:3]
infos.update(myclub_name='，'.join(myclub_name_list) + '等')
# 处理用户担任admin职务的小组数过多的情况
if infos.get('admin_org_names'):
admin_org_names = infos['admin_org_names']
if len(admin_org_names) > 3:
admin_org_names = admin_org_names[:3]
infos.update(admin_org_names_str='，'.join(admin_org_names) + '等')
else:
infos.update(admin_org_names_str='，'.join(admin_org_names))
else:
infos.update(admin_org_names_str='')
# 将小组活动预约top3关键词由list转为一个string
if infos.get('act_top_three_keywords'):
act_top_three_keywords = infos['act_top_three_keywords']
infos.update(act_top_three_keywords_str='，'.join(act_top_three_keywords))
else:
infos.update(act_top_three_keywords_str='')
# 计算参与的学生小组+书院课程小组数
infos.update(club_course_num=infos.get('club_num', 0)+infos.get('course_org_num', 0))
# 计算2023年两学期平均书院课程预选数和选中数
avg_preelect_num = (infos['preelect_course_23fall_num'] + infos['preelect_course_23spring_num']) / 2
avg_elected_num = (infos['elected_course_23fall_num'] + infos['elected_course_23spring_num']) / 2
infos.update(avg_preelect_num=avg_preelect_num, avg_elected_num=avg_elected_num)
# 2024 年新特性（MBTI计算等）
# 未使用的 2023 特性没有删除
# 根据最长连续签到百分比对用户进行评语，评语选择于前端实现
max_consecutive_days_rank = infos.get('max_consecutive_days_rank', 0.0)
# 根据用户预约习惯对用户进行评语
sharp_appoint_num = infos.get('sharp_appoint_num')
disobey_num = infos.get('disobey_num')
appoint_habit: int = 1
if sharp_appoint_num == 0:
if disobey_num == 0:
appoint_habit = 1
else:
appoint_habit = 2
else:
if disobey_num == 0:
appoint_habit = 3
else:
appoint_habit = 4
infos['appoint_habit'] = appoint_habit
# 根据参加小组活动最频繁时间段授予用户评语（已修改为2024文案版本）
most_act_common_hour = infos.get('most_act_common_hour')
if most_act_common_hour is not None:
if most_act_common_hour <= 10:
infos.update(most_act_common_hour_name='元气满满的一天当然要在欢聚中开始！')
elif most_act_common_hour <= 13:
infos.update(most_act_common_hour_name='睡个饱觉之后，正好和朋友们碰碰面！')
elif most_act_common_hour <= 16:
infos.update(most_act_common_hour_name='什么午后休息，不存在的！')
elif most_act_common_hour <= 18:
infos.update(most_act_common_hour_name='时间正好，和小伙伴们去看看夕阳')
elif most_act_common_hour <= 23:
infos.update(most_act_common_hour_name='辛苦学习一天，当然要和伙伴们痛快一场！')
else:
infos.update(most_act_common_hour_name='主打一个“月亮不睡我不睡”！')
else:
infos.update(most_act_common_hour_name='')
# 根据已选修书院课程种类数授予成就（已根据 2024 文案修改）
type_count = infos.get('type_count', 0)
if type_count >= 3:
infos.update(type_count_name='通识楷模')
elif type_count == 2:
infos.update(type_count_name='涉猎多元')
elif type_count == 1:
infos.update(type_count_name='初步探索')
else:
infos.update(type_count_name='我自有安排')
#根据用户兑换的奖池奖品数量给出相应的评语
# number_of_unique_prizes_comment = ''
# number_of_unique_prizes = infos.get('number_of_unique_prizes', 0)
# if number_of_unique_prizes > 0:
# number_of_unique_prizes_comment = '手速与元气值兼备，你就是古希腊掌管兑换奖池的神！'
# else:
# number_of_unique_prizes_comment = '元气值商城永远欢迎你！'
# infos['number_of_unique_prizes_comment'] = number_of_unique_prizes_comment
# 根据盲盒中奖率授予成就（已经修改为 2024 版本）
mystery_boxes_num = infos['mystery_boxes_num']
# 处理导出数据中的typo
if 'lukcy_mystery_boxes_num' in infos.keys():
lucky_mystery_boxes_num = infos.pop('lukcy_mystery_boxes_num', 0)
infos.update(lucky_mystery_boxes_num=lucky_mystery_boxes_num)
lucky_mystery_boxes_num = infos['lucky_mystery_boxes_num']
# 防止除零错误
if (mystery_boxes_num != 0):
lucky_rate = lucky_mystery_boxes_num / mystery_boxes_num * 100.0
infos['lucky_rate'] = lucky_rate
if lucky_rate >= 50.0:
infos.update(mystery_boxes_name='不说了，让我默默羡慕一会儿……')
else:
infos.update(mystery_boxes_name='根据运气守恒定律，下一次我看好你！')
else:
infos.update(mystery_boxes_name='')
# MBTI 计算部分
MBTI_EI = ''
MBTI_SN = ''
MBTI_TF = ''
MBTI_JP = ''
act_num_rank: float = infos.get('act_num_rank', 0)
# 小组活动排名
if act_num_rank >= 50.0:
MBTI_EI = 'E'
else:
MBTI_EI = 'I'
# 书院课程数量
if type_count >= 3:
MBTI_SN = 'S'
else:
MBTI_SN = 'N'
# 平均研讨时间排名
average_duration_rank: float = infos.get('average_duration_rank', 0)
if average_duration_rank < 50.0:
MBTI_TF = 'T'
else:
MBTI_TF = 'F'
# 极限预约次数
if sharp_appoint_num == 0:
MBTI_JP = 'J'
else:
MBTI_JP = 'P'
infos['MBTI_EI'] = MBTI_EI
infos['MBTI_SN'] = MBTI_SN
infos['MBTI_TF'] = MBTI_TF
infos['MBTI_JP'] = MBTI_JP
average_duration_rank_inverse: float = 100 - average_duration_rank
infos['average_duration_rank_inverse'] = average_duration_rank_inverse
# Django模板无法进行减法运算
sharp_appoint_num_rank: float = infos.get('sharp_appoint_num_rank', 0)
sharp_appoint_num_rank_inverse: float = 100 - sharp_appoint_num_rank
infos['sharp_appoint_num_rank_inverse'] = sharp_appoint_num_rank_inverse
return render(request, 'Appointment/summary2024.html', infos)
