mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +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
88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
import base64
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from email.message import EmailMessage
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from typing import List, Optional, Type
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_community.tools.gmail.base import GmailBaseTool
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class CreateDraftSchema(BaseModel):
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"""Input for CreateDraftTool."""
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message: str = Field(
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...,
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description="The message to include in the draft.",
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)
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to: List[str] = Field(
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...,
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description="The list of recipients.",
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)
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subject: str = Field(
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...,
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description="The subject of the message.",
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)
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cc: Optional[List[str]] = Field(
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None,
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description="The list of CC recipients.",
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)
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bcc: Optional[List[str]] = Field(
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None,
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description="The list of BCC recipients.",
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)
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class GmailCreateDraft(GmailBaseTool):
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"""Tool that creates a draft email for Gmail."""
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name: str = "create_gmail_draft"
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description: str = (
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"Use this tool to create a draft email with the provided message fields."
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)
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args_schema: Type[CreateDraftSchema] = CreateDraftSchema
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def _prepare_draft_message(
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self,
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message: str,
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to: List[str],
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subject: str,
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cc: Optional[List[str]] = None,
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bcc: Optional[List[str]] = None,
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) -> dict:
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draft_message = EmailMessage()
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draft_message.set_content(message)
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draft_message["To"] = ", ".join(to)
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draft_message["Subject"] = subject
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if cc is not None:
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draft_message["Cc"] = ", ".join(cc)
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if bcc is not None:
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draft_message["Bcc"] = ", ".join(bcc)
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encoded_message = base64.urlsafe_b64encode(draft_message.as_bytes()).decode()
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return {"message": {"raw": encoded_message}}
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def _run(
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self,
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message: str,
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to: List[str],
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subject: str,
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cc: Optional[List[str]] = None,
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bcc: Optional[List[str]] = None,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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try:
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create_message = self._prepare_draft_message(message, to, subject, cc, bcc)
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draft = (
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self.api_resource.users()
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.drafts()
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.create(userId="me", body=create_message)
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.execute()
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)
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output = f'Draft created. Draft Id: {draft["id"]}'
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return output
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except Exception as e:
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raise Exception(f"An error occurred: {e}")
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