def get(self, request):
key_words = request.GET.get('s','')
s_type = request.GET.get("s_type", "")
re_datas = []
if key_words:
if s_type == "article":
s = ArticleType.search()
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
elif s_type == "question":
s = QuestionType.search()
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
elif s_type == "job":
s = LagouType.search()
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
elif s_type == "moviee":
s = MovieType.search()
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
for match in suggestions.my_suggest[0].options:
source = match._source
re_datas.append(source["title"])
return HttpResponse(json.dumps(re_datas),content_type="application/json")
def get(self,request):
key_words = request.GET.get("s",'')
re_datas=[]
if key_words:
s=LagouType.search()
s=s.suggest('my_suggest',key_words,completion={
"field":"suggest","fuzzy":{
"fuzziness":2
},
"size":10
})
suggestions=s.execute_suggest()
for match in suggestions.my_suggest[0].options:
source = match._source
re_datas.append(source['title'])
return HttpResponse(json.dumps(re_datas),content_type='application/json')
def get(self, request):
key_words = request.GET.get('s', '')
search_index = request.GET.get('s_type', 'artical')
re_datas = []
if key_words:
if search_index == 'artical':
s_search = ArticalType.search()
elif search_index == 'job':
s_search = LagouType.search()
# s_search = ArticalType.search()
ss = s_search.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = ss.execute_suggest()
for match in suggestions.my_suggest[0].options:
source = match._source
re_datas.append(source['title'])
return HttpResponse(json.dumps(re_datas), content_type="application/json")
def get(self, request):
key_words = request.GET.get('s', '')
current_page = request.GET.get('s_type', '')
if current_page == "article":
re_datas = []
if key_words:
s = ArticleType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
re_datas.append(source["title"])
# re_datas.append(source["content"])
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
elif current_page == "job":
re_datas = []
if key_words:
s = LagouType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
name_set = OrderedSet()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
name_set.add(source["title"])
for name in name_set:
re_datas.append(name)
# re_datas.append(source["content"])
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
elif current_page == "question":
re_datas = []
if key_words:
s = ZhiHuQuestionType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
name_set = OrderedSet()
suggestions = s.execute_suggest()
if suggestions:
for match in suggestions.my_suggest[0].options[:10]:
if match._type == "question":
source = match._source
re_datas.append(source["title"])
elif match._type == "answer":
source = match._source
name_set.add(source["author_name"])
for name in name_set:
re_datas.append(name)
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
def get(self, request):
key_words = request.GET.get('s', '')
current_page = request.GET.get('s_type', '')
if current_page == "article":
re_datas = []
if key_words:
s = ArticleType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
re_datas.append(source["title"])
# re_datas.append(source["content"])
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
elif current_page == "job":
re_datas = []
if key_words:
s = LagouType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
name_set = OrderedSet()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
name_set.add(source["title"])
for name in name_set:
re_datas.append(name)
# re_datas.append(source["content"])
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
elif current_page == "question":
re_datas = []
if key_words:
s = ZhiHuQuestionType.search()
# fuzzy模糊搜索。fuzziness 编辑距离 prefix_length前面不变化的前缀长度
s = s.suggest('my_suggest', key_words, completion={
"field": "suggest", "fuzzy": {
"fuzziness": 2
},
"size": 10
})
name_set = OrderedSet()
suggestions = s.execute_suggest()
if suggestions:
for match in suggestions.my_suggest[0].options[:10]:
if match._type == "question":
source = match._source
re_datas.append(source["title"])
elif match._type == "answer":
source = match._source
name_set.add(source["author_name"])
for name in name_set:
re_datas.append(name)
return HttpResponse(
json.dumps(re_datas),
content_type="application/json")
def get(request):
key_words = request.GET.get('s', '')
current_type = request.GET.get('s_type', '')
if current_type == "article":
return_suggest_list = []
if key_words:
s = ArticleType.search()
""" fuzzy 模糊搜索, fuzziness 编辑距离, prefix_length 前面不变化的前缀长度 """
s = s.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute()
for match in suggestions.suggest.my_suggest[0].options[:10]:
source = match._source
return_suggest_list.append(source["title"])
return HttpResponse(json.dumps(return_suggest_list),
content_type="application/json")
elif current_type == "job":
return_suggest_list = []
if key_words:
s = LagouType.search()
s = s.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute()
# 对于不同公司同名职位去重，提高用户体验
name_set = OrderedSet()
for match in suggestions.suggest.my_suggest[0].options[:10]:
source = match._source
name_set.add(source["title"])
for name in name_set:
return_suggest_list.append(name)
return HttpResponse(json.dumps(return_suggest_list),
content_type="application/json")
elif current_type == "question":
return_suggest_list = []
if key_words:
s_question = ZhiHuQuestionType.search()
"""fuzzy模糊搜索, fuzziness 编辑距离, prefix_length前面不变化的前缀长度"""
s_question = s_question.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions_question = s_question.execute()
for match in suggestions_question.suggest.my_suggest[
0].options[:10]:
source = match._source
return_suggest_list.append(source["title"])
return HttpResponse(json.dumps(return_suggest_list),
content_type="application/json")
def get(self, request):
key_words = request.GET.get('s', '')
current_type = request.GET.get('s_type', '')
if current_type == 'article':
re_datas = []
if key_words:
s = ArticleType.search()
s = s.suggest('my_suggest',
key_words,
completion={
'field': 'suggest',
'fuzzy': {
"fuzziness": 3
},
'size': 10
})
suggestions = s.execute().suggest
for match in suggestions.my_suggest[0].options:
source = match._source
re_datas.append(source['title'])
return HttpResponse(json.dumps(re_datas),
content_type='application/json')
elif current_type == 'question':
re_datas = []
if key_words:
s = ZhiHuQuestionType.search()
s = s.suggest('my_suggest',
key_words,
completion={
'field': 'suggest',
'fuzzy': {
"fuzziness": 3
},
'size': 10
})
suggestions = s.execute().suggest
for match in suggestions[0].options:
source = match._source
re_datas.append(source['title'])
return HttpResponse(json.dumps(re_datas),
content_type='application/json')
elif current_type == 'job':
re_datas = []
if key_words:
s = LagouType().search()
s = s.suggest('my_suggest',
key_words,
completion={
'field': 'suggest',
'fuzzy': {
"fuzziness": 3
},
'size': 10
})
suggestions = s.execute().suggest
for match in suggestions[0].options:
source = match._source
re_datas.append(source['title'])
return HttpResponse(json.dumps(re_datas),
content_type='application/json')
def get(self, request):
key_words = request.GET.get('s', '')
current_page = request.GET.get('s_type', '')
# 搜索文章
if current_page == "article":
suggest_list = []
if key_words:
s = ArticleType.search()
s = s.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
suggest_list.append(source["title"])
return HttpResponse(json.dumps(suggest_list),
content_type="application/json")
# 搜索问答
elif current_page == "question":
suggest_list = []
if key_words:
s = ZhiHuQuestionType.search()
s = s.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
if suggestions:
for match in suggestions.my_suggest[0].options[:10]:
if match._type == "question":
source = match._source
suggest_list.append(source["title"])
return HttpResponse(json.dumps(suggest_list),
content_type="application/json")
# 搜索职位
elif current_page == "job":
suggest_list = []
if key_words:
s = LagouType.search()
s = s.suggest('my_suggest',
key_words,
completion={
"field": "suggest",
"fuzzy": {
"fuzziness": 2
},
"size": 10
})
suggestions = s.execute_suggest()
for match in suggestions.my_suggest[0].options[:10]:
source = match._source
suggest_list.append(source["title"])
return HttpResponse(json.dumps(suggest_list),
content_type="application/json")