104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
from django.shortcuts import render
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from dashboard.models import Douyin, NewMedia, Qita, Toutiao, Weibo, Weixin
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from django.db.models import Count, Sum
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COMPARTMENTS = {
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'620100000000': '兰州市',
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'620200000000': '嘉峪关市',
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'620300000000': '金昌市',
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'620400000000': '白银市',
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'620500000000': '天水市',
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'620600000000': '武威市',
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'620700000000': '张掖市',
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'620800000000': '平凉市',
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'620900000000': '酒泉市',
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'621000000000': '庆阳市',
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'621100000000': '定西市',
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'621200000000': '陇南市',
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'622900000000': '临夏回族自治州',
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'623000000000': '甘南藏族自治州',
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'620171000000': '兰州新区'
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}
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def monitor_statistics(request):
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wbc = Weibo.objects.count()
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wxc = Weixin.objects.count()
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ttc = Toutiao.objects.count()
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qtc = Qita.objects.count()
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dyc = Douyin.objects.count()
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total = wbc+wxc+ttc+qtc+dyc
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chart1_data = []
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chart1_data.append({'name': '微信', 'value': wxc})
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chart1_data.append({'name': '微博', 'value': wbc})
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chart1_data.append({'name': '头条', 'value': ttc})
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chart1_data.append({'name': '抖音', 'value': dyc})
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chart1_data.append({'name': '其它', 'value': qtc})
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results = dict()
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q = Weixin.objects.values('organization__cities').order_by(
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'organization__cities').annotate(num_media=Count('organization__cities'))
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for row in q:
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code = row['organization__cities']
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compartment = COMPARTMENTS[code]
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if code in results:
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nums = results[compartment]
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nums.append(row['num_media'])
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else:
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results[compartment] = [row['num_media']]
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q = Weibo.objects.values('organization__cities').order_by(
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'organization__cities').annotate(num_media=Count('organization__cities'))
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for row in q:
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code = row['organization__cities']
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compartment = COMPARTMENTS[code]
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if compartment in results:
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nums = results[compartment]
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nums.append(row['num_media'])
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else:
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results[compartment] = [row['num_media']]
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q = Toutiao.objects.values('organization__cities').order_by(
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'organization__cities').annotate(num_media=Count('organization__cities'))
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for row in q:
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code = row['organization__cities']
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compartment = COMPARTMENTS[code]
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if compartment in results:
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nums = results[compartment]
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nums.append(row['num_media'])
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else:
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results[compartment] = [row['num_media']]
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q = Douyin.objects.values('organization__cities').order_by(
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'organization__cities').annotate(num_media=Count('organization__cities'))
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for row in q:
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code = row['organization__cities']
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compartment = COMPARTMENTS[code]
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if compartment in results:
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nums = results[compartment]
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nums.append(row['num_media'])
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else:
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results[compartment] = [row['num_media']]
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q = Qita.objects.values('organization__cities').order_by(
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'organization__cities').annotate(num_media=Count('organization__cities'))
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for row in q:
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code = row['organization__cities']
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compartment = COMPARTMENTS[code]
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if compartment in results:
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nums = results[compartment]
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nums.append(row['num_media'])
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else:
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results[compartment] = [row['num_media']]
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chart2_data = []
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for k in results:
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chart2_data.append({'name': k, 'value': sum(results[k])})
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total1 = NewMedia.category_one_count()
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total2 = NewMedia.category_two_count()
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total3 = NewMedia.category_three_count()
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return render(request, 'polls/monitor_statistics.html', {'chart1_data': chart1_data, 'total': total, 'chart2_data': chart2_data, 'total1': total1, 'total2': total2, 'total3': total3})
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