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jeremygan2021
2026-02-28 11:28:35 +08:00
parent 4f4cfcd6f4
commit dba9d4f724
4 changed files with 177 additions and 13 deletions

View File

@@ -5,6 +5,7 @@ from django.shortcuts import redirect
from unfold.admin import ModelAdmin, TabularInline
from unfold.decorators import display
from .models import Activity, ActivitySignup, Topic, Reply, TopicMedia, Announcement
from .admin_actions import export_signups_csv, export_signups_excel
class ActivitySignupInline(TabularInline):
model = ActivitySignup
@@ -156,6 +157,7 @@ class ActivitySignupAdmin(ModelAdmin):
list_filter = ('status', 'signup_time', 'activity')
search_fields = ('user__nickname', 'activity__title')
autocomplete_fields = ['activity', 'user']
actions = [export_signups_csv, export_signups_excel]
fieldsets = (
('报名详情', {

View File

@@ -0,0 +1,149 @@
import csv
import json
import datetime
from django.http import HttpResponse
from django.utils.encoding import escape_uri_path
def flatten_json(y):
"""
Flatten a nested json object
"""
out = {}
def flatten(x, name=''):
if type(x) is dict:
for a in x:
flatten(x[a], name + a + '_')
elif type(x) is list:
i = 0
for a in x:
flatten(a, name + str(i) + '_')
i += 1
else:
out[name[:-1]] = x
flatten(y)
return out
def get_signup_info_keys(queryset):
"""
Collect all unique keys from the signup_info JSON across the queryset
"""
keys = set()
for obj in queryset:
if obj.signup_info and isinstance(obj.signup_info, dict):
# Flatten the dictionary first to get all nested keys
flat_info = flatten_json(obj.signup_info)
keys.update(flat_info.keys())
return sorted(list(keys))
def export_signups_csv(modeladmin, request, queryset):
"""
Export selected signups to CSV, including flattened JSON fields
"""
opts = modeladmin.model._meta
filename = f"{opts.verbose_name}_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.csv"
response = HttpResponse(content_type='text/csv; charset=utf-8-sig')
response['Content-Disposition'] = f'attachment; filename={escape_uri_path(filename)}'
writer = csv.writer(response)
# Base fields to export
base_headers = ['ID', '活动标题', '用户昵称', '用户ID', '报名时间', '状态', '关联订单ID']
# Get dynamic JSON keys
json_keys = get_signup_info_keys(queryset)
# Write header
writer.writerow(base_headers + json_keys)
# Write data
for obj in queryset:
row = [
str(obj.id),
obj.activity.title,
obj.user.nickname if obj.user else 'Unknown',
str(obj.user.id) if obj.user else '',
obj.signup_time.strftime('%Y-%m-%d %H:%M:%S'),
obj.get_status_display(),
str(obj.order.id) if obj.order else ''
]
# Add JSON data
flat_info = {}
if obj.signup_info and isinstance(obj.signup_info, dict):
flat_info = flatten_json(obj.signup_info)
for key in json_keys:
val = flat_info.get(key, '')
if val is None:
val = ''
row.append(str(val))
writer.writerow(row)
return response
export_signups_csv.short_description = "导出选中报名记录为 CSV (含详细信息)"
def export_signups_excel(modeladmin, request, queryset):
"""
Export selected signups to Excel, including flattened JSON fields
"""
try:
from openpyxl import Workbook
except ImportError:
modeladmin.message_user(request, "请先安装 openpyxl 库以使用 Excel 导出功能", level='error')
return
opts = modeladmin.model._meta
filename = f"{opts.verbose_name}_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx"
response = HttpResponse(
content_type='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
)
response['Content-Disposition'] = f'attachment; filename={escape_uri_path(filename)}'
wb = Workbook()
ws = wb.active
ws.title = str(opts.verbose_name)[:31] # Sheet name limit is 31 chars
# Base fields to export
base_headers = ['ID', '活动标题', '用户昵称', '用户ID', '报名时间', '状态', '关联订单ID']
# Get dynamic JSON keys
json_keys = get_signup_info_keys(queryset)
# Write header
ws.append(base_headers + json_keys)
# Write data
for obj in queryset:
row = [
obj.id,
obj.activity.title,
obj.user.nickname if obj.user else 'Unknown',
obj.user.id if obj.user else '',
obj.signup_time.replace(tzinfo=None) if obj.signup_time else '', # Remove tz for Excel
obj.get_status_display(),
obj.order.id if obj.order else ''
]
# Add JSON data
flat_info = {}
if obj.signup_info and isinstance(obj.signup_info, dict):
flat_info = flatten_json(obj.signup_info)
for key in json_keys:
val = flat_info.get(key, '')
if val is None:
val = ''
row.append(str(val)) # Ensure string for simplicity, or handle types
ws.append(row)
wb.save(response)
return response
export_signups_excel.short_description = "导出选中报名记录为 Excel (含详细信息)"

View File

@@ -1136,16 +1136,17 @@ def wechat_login(request):
else:
# 【新建场景】: 都不存在 -> 创建新用户
user = WeChatUser.objects.create(openid=openid)
if phone_number:
user = WeChatUser.objects.create(openid=openid)
user.phone_number = phone_number
user.save()
else:
# 如果没有手机号(静默登录),不自动创建新用户
print(f"未注册用户尝试静默登录: OpenID={openid}")
pass
# 统一更新会话信息 (确保 user 对象是最新的)
# 重新获取对象以防状态不一致 (可选,但推荐)
# user.refresh_from_db()
if user.openid == openid:
# 统一更新会话信息 (确保 user 对象存在)
if user and user.openid == openid:
user.session_key = session_key
user.unionid = unionid
@@ -1189,7 +1190,8 @@ def wechat_login(request):
# 生成 Token
if not user:
return Response({'error': 'Login failed: User not created'}, status=500)
# 用户未注册且未提供手机号
return Response({'error': 'User not registered', 'code': 'USER_NOT_FOUND'}, status=404)
signer = TimestampSigner()
token = signer.sign(user.openid)

View File

@@ -26,12 +26,23 @@ function App({ children }: PropsWithChildren<any>) {
}
}
// Auto login
login().then(res => {
console.log('Logged in as:', res?.nickname)
}).catch(err => {
console.log('Auto login failed', err)
})
// Auto login only if user info with phone number exists
const userInfo = Taro.getStorageSync('userInfo')
if (userInfo && userInfo.phone_number) {
console.log('User has phone number, attempting auto login...')
login().then(res => {
console.log('Auto login success, user:', res?.nickname)
}).catch(err => {
console.log('Auto login failed', err)
// If login fails (e.g. user deleted on backend), clear storage
if (err.statusCode === 404 || err.statusCode === 401) {
Taro.removeStorageSync('userInfo')
Taro.removeStorageSync('token')
}
})
} else {
console.log('No phone number found, skipping auto login')
}
})
return children