From bff4a87914f6e43cc0bb15df2c46d240213631bb Mon Sep 17 00:00:00 2001
From: Your Name <you@example.com>
Date: Thu, 20 Apr 2023 22:09:55 +0800
Subject: [PATCH] =?UTF-8?q?=E3=80=90=E5=8D=95=E5=85=83=E6=B5=8B=E8=AF=95?=
 =?UTF-8?q?=E3=80=91=E6=B7=BB=E5=8A=A0=E8=81=94=E7=BD=91=E5=9B=9E=E7=AD=94?=
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---
 crazy_functions/crazy_functions_test.py | 25 ++++---
 crazy_functions/联网的ChatGPT.py        | 91 +++++++++++++++++++++++++
 2 files changed, 108 insertions(+), 8 deletions(-)
 create mode 100644 crazy_functions/联网的ChatGPT.py

diff --git a/crazy_functions/crazy_functions_test.py b/crazy_functions/crazy_functions_test.py
index 2838e54..ef15fb8 100644
--- a/crazy_functions/crazy_functions_test.py
+++ b/crazy_functions/crazy_functions_test.py
@@ -79,14 +79,23 @@ def test_下载arxiv论文并翻译摘要():
     for cookies, cb, hist, msg in 下载arxiv论文并翻译摘要(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
         print(cb)
 
-test_解析一个Python项目()
-test_Latex英文润色()
-test_Markdown中译英()
-test_批量翻译PDF文档()
-test_谷歌检索小助手()
-test_总结word文档()
-test_下载arxiv论文并翻译摘要()
-test_解析一个Cpp项目()
+def test_联网回答问题():
+    from crazy_functions.联网的ChatGPT import 连接网络回答问题
+    txt = "“我们称之为高效”是什么梗？"
+    for cookies, cb, hist, msg in 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+        print(cb)
+
+# test_解析一个Python项目()
+# test_Latex英文润色()
+# test_Markdown中译英()
+# test_批量翻译PDF文档()
+# test_谷歌检索小助手()
+# test_总结word文档()
+# test_下载arxiv论文并翻译摘要()
+# test_解析一个Cpp项目()
+
+test_联网回答问题()
+
 
 input("程序完成，回车退出。")
 print("退出。")
\ No newline at end of file
diff --git a/crazy_functions/联网的ChatGPT.py b/crazy_functions/联网的ChatGPT.py
new file mode 100644
index 0000000..d641e91
--- /dev/null
+++ b/crazy_functions/联网的ChatGPT.py
@@ -0,0 +1,91 @@
+from toolbox import CatchException, update_ui
+from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
+import requests
+from bs4 import BeautifulSoup
+from request_llm.bridge_all import model_info
+
+def google(query, proxies):
+    query = query # 在此处替换您要搜索的关键词
+    url = f"https://www.google.com/search?q={query}"
+    headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36'}
+    response = requests.get(url, headers=headers, proxies=proxies)
+    soup = BeautifulSoup(response.content, 'html.parser')
+    results = []
+    for g in soup.find_all('div', class_='g'):
+        anchors = g.find_all('a')
+        if anchors:
+            link = anchors[0]['href']
+            if link.startswith('/url?q='):
+                link = link[7:]
+            if not link.startswith('http'):
+                continue
+            title = g.find('h3').text
+            item = {'title': title, 'link': link}
+            results.append(item)
+
+    for r in results:
+        print(r['link'])
+    return results
+
+def scrape_text(url, proxies) -> str:
+    """Scrape text from a webpage
+
+    Args:
+        url (str): The URL to scrape text from
+
+    Returns:
+        str: The scraped text
+    """
+    headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36'}
+    response = requests.get(url, headers=headers, proxies=proxies)
+    soup = BeautifulSoup(response.text, "html.parser")
+    for script in soup(["script", "style"]):
+        script.extract()
+    text = soup.get_text()
+    lines = (line.strip() for line in text.splitlines())
+    chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
+    text = "\n".join(chunk for chunk in chunks if chunk)
+    return text
+
+@CatchException
+def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    """
+    txt             输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
+    llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
+    plugin_kwargs   插件模型的参数，暂时没有用武之地
+    chatbot         聊天显示框的句柄，用于显示给用户
+    history         聊天历史，前情提要
+    system_prompt   给gpt的静默提醒
+    web_port        当前软件运行的端口号
+    """
+    history = []    # 清空历史，以免输入溢出
+    chatbot.append((f"请结合互联网信息回答以下问题：{txt}", 
+                    "[Local Message] 请注意，您正在调用一个[函数插件]的模板，该模板可以实现ChatGPT联网信息综合。该函数面向希望实现更多有趣功能的开发者，它可以作为创建新功能函数的模板。您若希望分享新的功能模组，请不吝PR！"))
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间，我们先及时地做一次界面更新
+
+    # ------------- < 第1步：爬取搜索引擎的结果 > -------------
+    from toolbox import get_conf
+    proxies, = get_conf('proxies')
+    urls = google(txt, proxies)
+    history = []
+
+    # ------------- < 第2步：依次访问网页 > -------------
+    max_search_result = 5
+    for index, url in enumerate(urls[:max_search_result]):
+        res = scrape_text(url['link'], proxies)
+        history.extend([f"第{index}份搜索结果", res])
+        chatbot.append([f"第{index}份搜索结果", res])
+        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间，我们先及时地做一次界面更新
+
+    # ------------- < 第3步：综合 > -------------
+    i_say = f"从以上搜索结果中抽取信息，然后回答问题：{txt}"
+    i_say, history = input_clipping(inputs=i_say, history=history, max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']//2)
+    gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
+        inputs=i_say, inputs_show_user=i_say, 
+        llm_kwargs=llm_kwargs, chatbot=chatbot, history=history, 
+        sys_prompt="请从给定文本中抽取信息"
+    )
+    chatbot[-1] = (i_say, gpt_say)
+    history.append(i_say);history.append(gpt_say)
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
+