mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
124 lines
4.1 KiB
Python
124 lines
4.1 KiB
Python
"""Util that Searches email messages in Office 365.
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Free, but setup is required. See link below.
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https://learn.microsoft.com/en-us/graph/auth/
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"""
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from typing import Any, Dict, List, Optional, Type
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.pydantic_v1 import BaseModel, Extra, Field
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from langchain_community.tools.office365.base import O365BaseTool
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from langchain_community.tools.office365.utils import UTC_FORMAT, clean_body
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class SearchEmailsInput(BaseModel):
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"""Input for SearchEmails Tool."""
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"""From https://learn.microsoft.com/en-us/graph/search-query-parameter"""
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folder: str = Field(
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default=None,
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description=(
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" If the user wants to search in only one folder, the name of the folder. "
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'Default folders are "inbox", "drafts", "sent items", "deleted ttems", but '
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"users can search custom folders as well."
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),
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)
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query: str = Field(
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description=(
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"The Microsoift Graph v1.0 $search query. Example filters include "
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"from:sender, from:sender, to:recipient, subject:subject, "
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"recipients:list_of_recipients, body:excitement, importance:high, "
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"received>2022-12-01, received<2021-12-01, sent>2022-12-01, "
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"sent<2021-12-01, hasAttachments:true attachment:api-catalog.md, "
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"cc:samanthab@contoso.com, bcc:samanthab@contoso.com, body:excitement date "
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"range example: received:2023-06-08..2023-06-09 matching example: "
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"from:amy OR from:david."
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)
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)
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max_results: int = Field(
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default=10,
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description="The maximum number of results to return.",
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)
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truncate: bool = Field(
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default=True,
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description=(
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"Whether the email body is truncated to meet token number limits. Set to "
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"False for searches that will retrieve small messages, otherwise, set to "
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"True"
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),
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)
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class O365SearchEmails(O365BaseTool):
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"""Class for searching email messages in Office 365
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Free, but setup is required
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"""
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name: str = "messages_search"
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args_schema: Type[BaseModel] = SearchEmailsInput
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description: str = (
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"Use this tool to search for email messages."
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" The input must be a valid Microsoft Graph v1.0 $search query."
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" The output is a JSON list of the requested resource."
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)
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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def _run(
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self,
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query: str,
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folder: str = "",
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max_results: int = 10,
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truncate: bool = True,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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truncate_limit: int = 150,
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) -> List[Dict[str, Any]]:
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# Get mailbox object
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mailbox = self.account.mailbox()
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# Pull the folder if the user wants to search in a folder
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if folder != "":
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mailbox = mailbox.get_folder(folder_name=folder)
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# Retrieve messages based on query
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query = mailbox.q().search(query)
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messages = mailbox.get_messages(limit=max_results, query=query)
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# Generate output dict
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output_messages = []
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for message in messages:
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output_message = {}
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output_message["from"] = message.sender
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if truncate:
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output_message["body"] = message.body_preview[:truncate_limit]
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else:
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output_message["body"] = clean_body(message.body)
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output_message["subject"] = message.subject
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output_message["date"] = message.modified.strftime(UTC_FORMAT)
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output_message["to"] = []
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for recipient in message.to._recipients:
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output_message["to"].append(str(recipient))
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output_message["cc"] = []
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for recipient in message.cc._recipients:
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output_message["cc"].append(str(recipient))
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output_message["bcc"] = []
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for recipient in message.bcc._recipients:
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output_message["bcc"].append(str(recipient))
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output_messages.append(output_message)
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return output_messages
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