langchain/libs/community/langchain_community/tools/office365/messages_search.py

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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) 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
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"""Util that Searches email messages in Office 365.
Free, but setup is required. See link below.
https://learn.microsoft.com/en-us/graph/auth/
"""
from typing import Any, Dict, List, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Extra, Field
from langchain_community.tools.office365.base import O365BaseTool
from langchain_community.tools.office365.utils import UTC_FORMAT, clean_body
class SearchEmailsInput(BaseModel):
"""Input for SearchEmails Tool."""
"""From https://learn.microsoft.com/en-us/graph/search-query-parameter"""
folder: str = Field(
default=None,
description=(
" If the user wants to search in only one folder, the name of the folder. "
'Default folders are "inbox", "drafts", "sent items", "deleted ttems", but '
"users can search custom folders as well."
),
)
query: str = Field(
description=(
"The Microsoift Graph v1.0 $search query. Example filters include "
"from:sender, from:sender, to:recipient, subject:subject, "
"recipients:list_of_recipients, body:excitement, importance:high, "
"received>2022-12-01, received<2021-12-01, sent>2022-12-01, "
"sent<2021-12-01, hasAttachments:true attachment:api-catalog.md, "
"cc:samanthab@contoso.com, bcc:samanthab@contoso.com, body:excitement date "
"range example: received:2023-06-08..2023-06-09 matching example: "
"from:amy OR from:david."
)
)
max_results: int = Field(
default=10,
description="The maximum number of results to return.",
)
truncate: bool = Field(
default=True,
description=(
"Whether the email body is truncated to meet token number limits. Set to "
"False for searches that will retrieve small messages, otherwise, set to "
"True"
),
)
class O365SearchEmails(O365BaseTool):
"""Class for searching email messages in Office 365
Free, but setup is required
"""
name: str = "messages_search"
args_schema: Type[BaseModel] = SearchEmailsInput
description: str = (
"Use this tool to search for email messages."
" The input must be a valid Microsoft Graph v1.0 $search query."
" The output is a JSON list of the requested resource."
)
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
def _run(
self,
query: str,
folder: str = "",
max_results: int = 10,
truncate: bool = True,
run_manager: Optional[CallbackManagerForToolRun] = None,
truncate_limit: int = 150,
) -> List[Dict[str, Any]]:
# Get mailbox object
mailbox = self.account.mailbox()
# Pull the folder if the user wants to search in a folder
if folder != "":
mailbox = mailbox.get_folder(folder_name=folder)
# Retrieve messages based on query
query = mailbox.q().search(query)
messages = mailbox.get_messages(limit=max_results, query=query)
# Generate output dict
output_messages = []
for message in messages:
output_message = {}
output_message["from"] = message.sender
if truncate:
output_message["body"] = message.body_preview[:truncate_limit]
else:
output_message["body"] = clean_body(message.body)
output_message["subject"] = message.subject
output_message["date"] = message.modified.strftime(UTC_FORMAT)
output_message["to"] = []
for recipient in message.to._recipients:
output_message["to"].append(str(recipient))
output_message["cc"] = []
for recipient in message.cc._recipients:
output_message["cc"].append(str(recipient))
output_message["bcc"] = []
for recipient in message.bcc._recipients:
output_message["bcc"].append(str(recipient))
output_messages.append(output_message)
return output_messages