mirror of
https://github.com/searxng/searxng
synced 2024-01-01 19:24:07 +01:00
c
This commit is contained in:
parent
c23373e072
commit
002cde5c7e
2 changed files with 676 additions and 87 deletions
661
searx/webapp.py
661
searx/webapp.py
File diff suppressed because one or more lines are too long
102
searx/webapp1.py
102
searx/webapp1.py
|
@ -683,50 +683,64 @@ def search():
|
|||
raw_text_query = None
|
||||
result_container = None
|
||||
original_search_query = ""
|
||||
search_type = "搜索网页"
|
||||
net_search = True
|
||||
net_search_str = 'true'
|
||||
try:
|
||||
search_query, raw_text_query, _, _ = get_search_query_from_webapp(request.preferences, request.form)
|
||||
# search = Search(search_query) # without plugins
|
||||
try:
|
||||
original_search_query = search_query.query
|
||||
if "模仿" in search_query.query or "扮演" in search_query.query or "你能" in search_query.query or "请推荐" in search_query.query or "帮我" in search_query.query or "写一段" in search_query.query or "写一个" in search_query.query or "请问" in search_query.query or "请给" in search_query.query or "请你" in search_query.query or "请推荐" in search_query.query or "是谁" in search_query.query or "能帮忙" in search_query.query or "介绍一下" in search_query.query or "为什么" in search_query.query or "什么是" in search_query.query or "有什么" in search_query.query or "怎样" in search_query.query or "给我" in search_query.query or "如何" in search_query.query or "谁是" in search_query.query or "查询" in search_query.query or "告诉我" in search_query.query or "查一下" in search_query.query or "找一个" in search_query.query or "什么样" in search_query.query or "哪个" in search_query.query or "哪些" in search_query.query or "哪一个" in search_query.query or "哪一些" in search_query.query or "啥是" in search_query.query or "为啥" in search_query.query or "怎么" in search_query.query:
|
||||
if len(search_query.query)>5 and "谁是" in search_query.query:
|
||||
search_query.query = search_query.query.replace("谁是","")
|
||||
if len(search_query.query)>5 and "是谁" in search_query.query:
|
||||
search_query.query = search_query.query.replace("是谁","")
|
||||
if len(search_query.query)>5 and not "谁是" in search_query.query and not "是谁" in search_query.query:
|
||||
prompt = search_query.query + "\n对以上问题生成一个Google搜索词:\n"
|
||||
if "今年" in prompt or "今天" in prompt:
|
||||
now = datetime.datetime.now()
|
||||
prompt = prompt.replace("今年",now.strftime('%Y年'))
|
||||
prompt = prompt.replace("今天",now.strftime('%Y年%m月%d日'))
|
||||
gpt = ""
|
||||
gpt_url = "https://api.openai.com/v1/engines/text-davinci-003/completions"
|
||||
gpt_headers = {
|
||||
"Authorization": "Bearer "+os.environ['GPTKEY'],
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
gpt_data = {
|
||||
"prompt": prompt,
|
||||
"max_tokens": 256,
|
||||
"temperature": 0.9,
|
||||
"top_p": 1,
|
||||
"frequency_penalty": 0,
|
||||
"presence_penalty": 0,
|
||||
"best_of": 1,
|
||||
"echo": False,
|
||||
"logprobs": 0,
|
||||
"stream": False
|
||||
}
|
||||
gpt_response = requests.post(gpt_url, headers=gpt_headers, data=json.dumps(gpt_data))
|
||||
gpt_json = gpt_response.json()
|
||||
if 'choices' in gpt_json:
|
||||
gpt = gpt_json['choices'][0]['text']
|
||||
for word in gpt.split('\n'):
|
||||
if word != "":
|
||||
gpt = word.replace("\"","").replace("\'","").replace("“","").replace("”","").replace("‘","").replace("’","")
|
||||
break
|
||||
if gpt!="":
|
||||
search_query.query = gpt
|
||||
# if "模仿" in search_query.query or "扮演" in search_query.query or "你能" in search_query.query or "请推荐" in search_query.query or "帮我" in search_query.query or "写一段" in search_query.query or "写一个" in search_query.query or "请问" in search_query.query or "请给" in search_query.query or "请你" in search_query.query or "请推荐" in search_query.query or "是谁" in search_query.query or "能帮忙" in search_query.query or "介绍一下" in search_query.query or "为什么" in search_query.query or "什么是" in search_query.query or "有什么" in search_query.query or "怎样" in search_query.query or "给我" in search_query.query or "如何" in search_query.query or "谁是" in search_query.query or "查询" in search_query.query or "告诉我" in search_query.query or "查一下" in search_query.query or "找一个" in search_query.query or "什么样" in search_query.query or "哪个" in search_query.query or "哪些" in search_query.query or "哪一个" in search_query.query or "哪一些" in search_query.query or "啥是" in search_query.query or "为啥" in search_query.query or "怎么" in search_query.query:
|
||||
# if len(search_query.query)>5 and "谁是" in search_query.query:
|
||||
# search_query.query = search_query.query.replace("谁是","")
|
||||
# if len(search_query.query)>5 and "是谁" in search_query.query:
|
||||
# search_query.query = search_query.query.replace("是谁","")
|
||||
# if len(search_query.query)>5 and not "谁是" in search_query.query and not "是谁" in search_query.query:
|
||||
prompt = "任务:写诗 写故事 写代码 写论文摘要 模仿推特用户 生成搜索广告 回答问题 聊天话题 搜索网页 搜索视频 搜索地图 搜索新闻 搜索食谱 搜索商品 写歌词 写论文 模仿名人 翻译语言 摘要文章 讲笑话 做数学题 搜索图片 播放音乐 查看天气\n1.判断是以上任务的哪一个2.判断是否需要联网回答3.给出搜索关键词\n"
|
||||
prompt = prompt + "提问:" + search_query.query + '答案用json数组例如["写诗","否","关键词"]来表述\n答案:'
|
||||
acts = ['写诗', '写故事', '写代码', '写论文摘要', '模仿推特用户', '生成搜索广告', '回答问题', '聊天话题', '搜索网页', '搜索视频', '搜索地图', '搜索新闻', '搜索食谱', '搜索商品', '写歌词', '写论文', '模仿名人', '翻译语言', '摘要文章', '讲笑话', '做数学题', '搜索图片', '播放音乐', '查看天气']
|
||||
if "今年" in prompt or "今天" in prompt:
|
||||
now = datetime.datetime.now()
|
||||
prompt = prompt.replace("今年",now.strftime('%Y年'))
|
||||
prompt = prompt.replace("今天",now.strftime('%Y年%m月%d日'))
|
||||
gpt = ""
|
||||
gpt_url = "https://api.openai.com/v1/engines/text-davinci-003/completions"
|
||||
gpt_headers = {
|
||||
"Authorization": "Bearer "+os.environ['GPTKEY'],
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
gpt_data = {
|
||||
"prompt": prompt,
|
||||
"max_tokens": 256,
|
||||
"temperature": 0.9,
|
||||
"top_p": 1,
|
||||
"frequency_penalty": 0,
|
||||
"presence_penalty": 0,
|
||||
"best_of": 1,
|
||||
"echo": False,
|
||||
"logprobs": 0,
|
||||
"stream": False
|
||||
}
|
||||
gpt_response = requests.post(gpt_url, headers=gpt_headers, data=json.dumps(gpt_data))
|
||||
gpt_json = gpt_response.json()
|
||||
if 'choices' in gpt_json:
|
||||
gpt = gpt_json['choices'][0]['text']
|
||||
gpt_judge = []
|
||||
for tmpj in gpt.split():
|
||||
try:
|
||||
gpt_judge = json.load(tmpj)
|
||||
except:pass
|
||||
|
||||
if len(gpt_judge)==3 and gpt_judge[0] in acts and gpt_judge[2] != '' and (gpt_judge[1]=='是' or gpt_judge[1]=='True' or gpt_judge[1]=='true'):
|
||||
search_query.query = gpt_judge[2]
|
||||
search_type = gpt_judge[0]
|
||||
net_search = True
|
||||
net_search_str = 'true'
|
||||
elif len(gpt_judge)==3 and gpt_judge[0] in acts and gpt_judge[2] != '' and (gpt_judge[1]=='否' or gpt_judge[1]=='False' or gpt_judge[1]=='false'):
|
||||
search_type = gpt_judge[0]
|
||||
net_search = False
|
||||
net_search_str = 'false'
|
||||
except Exception as ee:
|
||||
logger.exception(ee, exc_info=True)
|
||||
search = SearchWithPlugins(search_query, request.user_plugins, request) # pylint: disable=redefined-outer-name
|
||||
|
@ -774,10 +788,10 @@ def search():
|
|||
|
||||
tmp_prompt = res['title'] +'\n'+ res['content'] + '\n' + new_url +'\n'
|
||||
|
||||
if original_search_query == search_query.query and len( prompt + tmp_prompt +'\n' + "\n以上是关键词 " + original_search_query + " 的搜索结果,删除无关内容,用简体中文分条总结简报,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:" ) <1600:
|
||||
if '搜索' in search_type and len( prompt + tmp_prompt +'\n' + "\n以上是关键词 " + original_search_query + " 的搜索结果,删除无关内容,用简体中文分条总结简报,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:" ) <1600:
|
||||
raws.append(tmp_prompt)
|
||||
prompt += tmp_prompt +'\n'
|
||||
if len( prompt + tmp_prompt +'\n' + "\n以上是任务 " + original_search_query + " 的网络知识。用简体中文完成任务,如果使用了网络知识,删除无关内容,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:") <1600:
|
||||
elif len( prompt + tmp_prompt +'\n' + "\n以上是 " + original_search_query + " 的网络知识。用简体中文完成"+ search_type +",如果使用了网络知识,删除无关内容,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:") <1600:
|
||||
prompt += tmp_prompt +'\n'
|
||||
if prompt != "":
|
||||
gpt = ""
|
||||
|
@ -785,9 +799,9 @@ def search():
|
|||
gpt_headers = {
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
if original_search_query != search_query.query:
|
||||
if '搜索' in search_type:
|
||||
gpt_data = {
|
||||
"prompt": prompt+"\n以上是任务 " + original_search_query + " 的网络知识。用简体中文完成任务,如果使用了网络知识,删除无关内容,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:",
|
||||
"prompt": prompt+"\n以上是 " + original_search_query + " 的网络知识。用简体中文完成"+ search_type +",如果使用了网络知识,删除无关内容,在文中用(链接)标注对应内容来源链接,链接不要放在最后。结果:",
|
||||
"max_tokens": 1000,
|
||||
"temperature": 0.2,
|
||||
"top_p": 1,
|
||||
|
@ -924,6 +938,8 @@ button.btn_more {
|
|||
<script>
|
||||
const original_search_query = "''' + original_search_query.replace('"',"") + r'''"
|
||||
const search_queryquery = "''' + search_query.query.replace('"',"") + r'''"
|
||||
const search_type = "''' + search_type + r'''"
|
||||
const net_search = "''' + net_search_str + r'''"
|
||||
</script><script>
|
||||
//rsa
|
||||
function stringToArrayBuffer(str){
|
||||
|
|
Loading…
Add table
Reference in a new issue