Chunyu
d7553520ce
- 新增 Pagination 通用组件：首页/上一页/页码/下一页/末页导航 - PickModal 和 SwapModal 集成分页功能，每页20项 - 搜索/筛选切换自动回到第1页 - 现代化CSS样式：hover浮起动效、主色高亮、移动端适配 - 新增 dashboard、admin 管理模板 - 菜系(cuisine)模型和迁移 - 构建脚本 build.py 支持 PyInstaller 打包 - 前端资源重新构建
91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
"""Dashboard API & view – visualization panel for the school meal planner."""
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import json
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from collections import Counter
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from django.http import JsonResponse
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from django.shortcuts import render
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from django.db.models import Avg, Count, Max, Min, Sum
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from .models import Dish
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def _dashboard_stats():
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"""Return aggregate statistics for the dashboard."""
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total = Dish.objects.count()
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active = Dish.objects.filter(is_active=True).count()
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inactive = total - active
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# Count by type
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type_counts = dict(
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Dish.objects.values_list('dish_type').annotate(c=Count('id')).values_list('dish_type', 'c')
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)
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# Count by cuisine
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cuisine_counts = dict(
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Dish.objects.values_list('cuisine').annotate(c=Count('id')).values_list('cuisine', 'c')
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)
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# Nutrition averages (active dishes only, meat + veg only for meaningful stats)
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nutrition = Dish.objects.filter(is_active=True, dish_type__in=('meat', 'veg')).aggregate(
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avg_protein=Avg('protein'),
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avg_fat=Avg('fat'),
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avg_calorie=Avg('calorie'),
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max_calorie=Max('calorie'),
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min_calorie=Min('calorie'),
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)
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# Per-type nutrition averages
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type_nutrition = {}
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for dt in ('meat', 'veg', 'soup', 'staple'):
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agg = Dish.objects.filter(is_active=True, dish_type=dt).aggregate(
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avg_protein=Avg('protein'),
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avg_fat=Avg('fat'),
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avg_calorie=Avg('calorie'),
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count=Count('id'),
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)
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type_nutrition[dt] = agg
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# Recent 10 dishes
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recent = list(
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Dish.objects.order_by('-created_at')[:10].values(
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'id', 'name', 'dish_type', 'cuisine', 'protein', 'fat', 'calorie', 'is_active', 'created_at',
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)
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)
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for r in recent:
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r['created_at'] = r['created_at'].strftime('%Y-%m-%d %H:%M') if r['created_at'] else ''
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return {
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'total': total,
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'active': active,
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'inactive': inactive,
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'type_counts': type_counts,
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'cuisine_counts': cuisine_counts,
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'nutrition': {
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'avg_protein': round(float(nutrition['avg_protein'] or 0), 1),
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'avg_fat': round(float(nutrition['avg_fat'] or 0), 1),
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'avg_calorie': round(float(nutrition['avg_calorie'] or 0)),
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'max_calorie': int(nutrition['max_calorie'] or 0),
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'min_calorie': int(nutrition['min_calorie'] or 0),
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},
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'type_nutrition': {
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k: {
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'avg_protein': round(float(v['avg_protein'] or 0), 1),
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'avg_fat': round(float(v['avg_fat'] or 0), 1),
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'avg_calorie': round(float(v['avg_calorie'] or 0)),
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'count': v['count'],
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}
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for k, v in type_nutrition.items()
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},
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'recent': recent,
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}
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def dashboard_api(request):
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"""GET /api/dashboard/ -> JSON stats for the dashboard."""
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return JsonResponse(_dashboard_stats())
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def dashboard_view(request):
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"""GET /dashboard/ -> serve the dashboard HTML page."""
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return render(request, 'dashboard.html')
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