def analyse(request):
model = word2vec.Word2Vec.load('../others/弹幕.model')
danmus = request.POST.get("danmus", 0)
print(danmus)
w = ''
d = Segment.Chinese_Word_Segmentation(
time.strftime("%Y-%m-%d", time.localtime()), danmus)
for word in d:
w += word[0] + ' '
with open('danmuall.txt', 'w') as f:
f.write(' '.join(jieba.cut(danmus, cut_all=False)))
f.close()
sentences = word2vec.Text8Corpus(r'danmuall.txt')
# model = word2vec.Word2Vec(sentences, size=10, hs=1, min_count=2, window=5)
return HttpResponse(w + '!@##$$$%%%^^^&&&***(((*&)^' +
model.doesnt_match(w.split()))
def show(request):
dbclient = pymongo.MongoClient("mongodb://localhost:27017/")
DouYudb = dbclient["DouYu"]
DanMu = DouYudb["DanMu"]
NewBlack = DouYudb["NewBlack"]
Str = DouYudb["DailyString"]
danmu_string = {}
dict = {}
danmulist = []
slice_rule = re.compile('(.*),([\d]{2,6})')
s = ''
for x in DanMu.find(
{'发送弹幕时间': {
'$regex': time.strftime("%Y-%m-%d", time.localtime())
}}):
s += x['弹幕内容']
danmu_string['_id'] = time.strftime("%Y-%m-%d", time.localtime())
danmu_string['弹幕字符串'] = s
Segment.Chinese_Word_Segmentation(danmu_string['_id'],
danmu_string['弹幕字符串'])
with open('allresult%s.txt' % danmu_string['_id'], 'r') as read_file:
while True:
data = read_file.readline()
if not data:
break
pass
for l in slice_rule.findall(data):
dict[l[0]] = l[1]
# 弹幕数量排行（每日）
for x in DanMu.aggregate([{
"$project": {
"_id": 0,
"日期": {
"$substr": ['$发送弹幕时间', 0, 10]
}
}
}, {
"$group": {
"_id": "$日期",
"count": {
"$sum": 1
}
}
}, {
"$sort": {
"count": -1
}
}, {
"$limit": 10
}]):
danmulist.append(x)
# for x in douyudb.DanMu.aggregate([
# {"$project": {"_id": 0, "日期": {"$substr": ['$发送弹幕时间', 0, 10]}}},
# {"$group": {"_id": "$日期"}},
# {"$sort": {"_id": 1}}
# ]):
# all_day.append(x)
# 发弹幕最多排行（总）
# for x in douyudb.DanMu.aggregate([
# {"$group": {"_id": "$用户ID", "count": {"$sum": 1}}},
# {"$sort": {"count": -1}},
# {"$limit": 10}
# ]):
# user_list.append(x)
# for x in user_list:
# for z in douyudb.DanMu.find({'用户ID': x['_id']}, {'昵称': 1, '_id': 0}).limit(1):
# x['昵称'] = z['昵称']
# for x in user_list:
# for z in all_day:
# for j in douyudb.DanMu.aggregate([
# {"$match": {"用户ID": x["_id"]}},
# {"$match": {"发送弹幕时间": {"$regex": z["_id"]}}},
# {"$group": {"_id": "$用户ID", "count": {"$sum": 1}}}
# ]):
# x[z["_id"]] = j["count"]
# for x in UserRank.find():
# d.append(x)
return render(request, 'show.html', {
'dict': json.dumps(dict),
'danmu_list': json.dumps(danmulist)
})
