Google Drive
本笔记本演示如何将LangChain连接到Google Drive API
。
前提条件
- 创建一个Google Cloud项目或使用现有项目
- 启用Google Drive API
- 为桌面应用授权凭据
pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
检索您的Google Docs数据的说明
默认情 况下,GoogleDriveTools
和GoogleDriveWrapper
期望credentials.json
文件位于~/.credentials/credentials.json
,但可以使用GOOGLE_ACCOUNT_FILE
环境变量进行配置。
token.json
的位置使用相同的目录(或使用参数token_path
)。请注意,token.json
将在您第一次使用该工具时自动创建。
GoogleDriveSearchTool
可以根据一些请求检索一部分文件。
默认情况下,如果您使用 folder_id
,则可以将该文件夹内的所有文件检索到 Document
,前提是名称与查询匹配。
%pip install --upgrade --quiet google-api-python-client google-auth-httplib2 google-auth-oauthlib langchain-community
您可以从URL中获取您的文件夹和文档ID:
- 文件夹: https://drive.google.com/drive/u/0/folders/1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5 -> 文件夹ID是
"1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5"
- 文档: https://docs.google.com/document/d/1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw/edit -> 文档ID是
"1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw"
特殊值root
是指您的个人主页。
folder_id = "root"
# folder_id='1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5'
默认情况下,所有具有这些mime类型的文件都可以转换为文档
。
- text/text
- text/plain
- text/html
- text/csv
- text/markdown
- image/png
- image/jpeg
- application/epub+zip
- application/pdf
- application/rtf
- application/vnd.google-apps.document (谷歌文档)
- application/vnd.google-apps.presentation (谷歌幻灯片)
- application/vnd.google-apps.spreadsheet (谷歌表格)
- application/vnd.google.colaboratory (Colab笔记本)
- application/vnd.openxmlformats-officedocument.presentationml.presentation (PPTX)
- application/vnd.openxmlformats-officedocument.wordprocessingml.document (DOCX)
可以更新或自定义此项。请参阅 GoogleDriveAPIWrapper
的文档。
但是,必须安装相应的包。
%pip install --upgrade --quiet unstructured
from langchain_googledrive.tools.google_drive.tool import GoogleDriveSearchTool
from langchain_googledrive.utilities.google_drive import GoogleDriveAPIWrapper
# By default, search only in the filename.
tool = GoogleDriveSearchTool(
api_wrapper=GoogleDriveAPIWrapper(
folder_id=folder_id,
num_results=2,
template="gdrive-query-in-folder", # Search in the body of documents
)
)
import logging
logging.basicConfig(level=logging.INFO)
tool.run("machine learning")
tool.description
<!--IMPORTS:[{"imported": "load_tools", "source": "langchain.agents", "docs": "https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.load_tools.load_tools.html", "title": "Google Drive"}]-->
from langchain.agents import load_tools
tools = load_tools(
["google-drive-search"],
folder_id=folder_id,
template="gdrive-query-in-folder",
)
在代理中使用
<!--IMPORTS:[{"imported": "AgentType", "source": "langchain.agents", "docs": "https://python.langchain.com/api_reference/langchain/agents/langchain.agents.agent_types.AgentType.html", "title": "Google Drive"}, {"imported": "initialize_agent", "source": "langchain.agents", "docs": "https://python.langchain.com/api_reference/langchain/agents/langchain.agents.initialize.initialize_agent.html", "title": "Google Drive"}, {"imported": "OpenAI", "source": "langchain_openai", "docs": "https://python.langchain.com/api_reference/openai/llms/langchain_openai.llms.base.OpenAI.html", "title": "Google Drive"}]-->
from langchain.agents import AgentType, initialize_agent
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
agent = initialize_agent(
tools=tools,
llm=llm,
agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
)
agent.run("Search in google drive, who is 'Yann LeCun' ?")