newmediamonitoring/monitor/views.py

import csv
import json
from collections import Counter

import jieba
from django.http import HttpResponse
from django.shortcuts import render

# Create your views here.
from dashboard.models import Weixin, Weixin_data, Toutiao_data, Weibo_data, Qita_jc, Group, Toutiao, Weibo, Qita, \
    Douyin, Douyin_data
from monitor.models import Test


def new_media_public_opinion_weixin(request):
    weixin = Weixin.objects.all()
    group = Group.objects.all()
    weixin_data = Weixin_data.objects.all().order_by('-comment')
    res = []
    for w in weixin_data:
        o = dict()
        o['id'] = str(w.id)
        o['code'] = w.weixin.code
        o['image'] = w.weixin.image
        o['title'] = w.title
        o['comment'] = w.comment
        o['reply'] = w.reply
        o['year'] = w.year
        o['month'] = w.month
        o['day'] = w.day
        res.append(o)
    return render(request, 'monitor/new-media-public-opinion-weixin.html', {'res':res,'weixin':weixin,'group':group})

def new_media_public_opinion_toutiao(request):
    toutiao = Toutiao.objects.all()
    group = Group.objects.all()
    toutiao_data = Toutiao_data.objects.all().order_by('-count')
    res = []
    for t in toutiao_data:
        o = dict()
        o['id'] = str(t.id)
        o['code'] = t.toutiao.code
        o['image'] = t.toutiao.image
        o['title'] = t.title
        o['count'] = t.count
        o['commentcount'] = t.commentcount
        o['reply'] = t.reply
        o['year'] = t.year
        o['month'] = t.month
        o['day'] = t.day
        res.append(o)
    return render(request, 'monitor/new-media-public-opinion-toutiao.html', {'res':res,'toutiao':toutiao,'group':group})
def new_media_public_opinion_douyin(request):
    douyin = Douyin.objects.all()
    group = Group.objects.all()
    douyin_data = Douyin_data.objects.all().order_by('-comment')
    res = []
    for d in douyin_data:
        o = dict()
        o['id'] = str(d.id)
        o['code'] = d.newmedia.code
        o['image'] = d.newmedia.image
        o['count'] = d.count
        o['count_jc'] = d.count_jc
        o['comment'] = d.comment
        o['reply'] = d.reply
        o['date'] = d.date
        res.append(o)
    return render(request, 'monitor/new-media-public-opinion-douyin.html', {'res':res,'douyin':douyin,'group':group})
def new_media_public_opinion_weibo(request):
    weibo = Weibo.objects.all()
    group = Group.objects.all()
    weibo_data = Weibo_data.objects.all().order_by('-like')
    res = []
    for w in weibo_data:
        o = dict()
        o['id'] = str(w.id)
        o['code'] = w.weibo.code
        o['image'] = w.weibo.image
        o['title'] = w.title
        o['like'] = w.like
        o['transpond'] = w.transpond
        o['comment'] = w.comment
        o['year'] = w.year
        o['month'] = w.month
        o['day'] = w.day
        res.append(o)
    return render(request, 'monitor/new-media-public-opinion-weibo.html', {'res':res,'weibo':weibo,'group':group})

def new_media_public_opinion_qita(request):
    qita = Qita.objects.all()
    group = Group.objects.all()
    qita_jc = Qita_jc.objects.all().order_by('-comment')
    res = []
    for q in qita_jc:
        o = dict()
        o['id'] = str(q.id)
        o['type'] = q.qita.type
        o['name'] = q.qita.name
        o['image'] = q.qita.image
        o['count'] = q.count
        o['count_jc'] = q.count_jc
        o['comment'] = q.comment
        o['reply'] = q.reply
        o['year'] = q.year
        o['month'] = q.month
        o['day'] = q.day
        res.append(o)
    return render(request, 'monitor/new-media-public-opinion-qita.html', {'res':res,'qita':qita,'group':group})
def timeliness_monitoring(request):
    return render(request,'monitor/timeliness-monitoring.html')
def error_monitoring(request):
    return render(request, 'monitor/error-monitoring.html')
def sensitive_word_monitoring(request):
    return render(request,'monitor/sensitive-word-monitoring.html')
def comment_on_interactive_monitoring(request):
    return render(request,'monitor/comment-on-interactive-monitoring.html')
def comment_on_interactive_monitoring_json(request):
    data = Test.objects.all()[:500]
    r = []
    for d in data:
        content = d.content
        r.append(content)
        # result = jieba.analyse.textrank(content, topK=400, withWeight=True)
    seg_list = jieba.cut(str(r))  # 对文本进行分词
    c = Counter()
    for x in seg_list:  # 进行词频统计
        if len(x) > 1 and x != '\r\n':
            c[x] += 1
    res = []
    for (k, v) in c.most_common(200):  # 遍历输出高频词
        print('%s%s %s  %d' % ('  ' * (5 - len(k)), k, '*', v))
        o = dict()
        o['name'] = k
        o['value'] = v
        res.append(o)
    return HttpResponse(json.dumps({
        "res":res
    }))
def monitoring_report(request):
    return render(request,'monitor/monitoring-report.html')



def test(request):
    return render(request,'monitor/test.html')
def test_json(request):
    res = []
    with open('D:/2020/舆论监测平台/新媒体监测数据/平凉/Result_PL.csv',encoding='utf-8') as csvfile:
        reader = csv.reader(csvfile)
        results = []
        try:
            for r in reader:
                print(r[0])
                results.append(r[5])
        except:
            print("777777777777777777777777777777777777777777777777")
        seg_list = jieba.cut(str(results))  # 对文本进行分词
        c = Counter()
        for x in seg_list:  # 进行词频统计
            if len(x) > 1 and x != '\r\n':
                c[x] += 1
        for (k, v) in c.most_common(200):  # 遍历输出高频词
            print('%s%s %s  %d' % ('  ' * (5 - len(k)), k, '*', v))
            o = dict()
            o['name'] = k
            o['value'] = v
            res.append(o)
        return HttpResponse(json.dumps({
            "res": res
        }))