mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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
71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
import base64
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import email
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from typing import Dict, 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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from langchain_community.tools.gmail.utils import clean_email_body
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class SearchArgsSchema(BaseModel):
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"""Input for GetMessageTool."""
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message_id: str = Field(
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...,
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description="The unique ID of the email message, retrieved from a search.",
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)
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class GmailGetMessage(GmailBaseTool):
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"""Tool that gets a message by ID from Gmail."""
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name: str = "get_gmail_message"
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description: str = (
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"Use this tool to fetch an email by message ID."
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" Returns the thread ID, snippet, body, subject, and sender."
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)
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args_schema: Type[SearchArgsSchema] = SearchArgsSchema
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def _run(
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self,
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message_id: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> Dict:
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"""Run the tool."""
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query = (
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self.api_resource.users()
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.messages()
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.get(userId="me", format="raw", id=message_id)
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)
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message_data = query.execute()
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raw_message = base64.urlsafe_b64decode(message_data["raw"])
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email_msg = email.message_from_bytes(raw_message)
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subject = email_msg["Subject"]
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sender = email_msg["From"]
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message_body = ""
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if email_msg.is_multipart():
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for part in email_msg.walk():
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ctype = part.get_content_type()
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cdispo = str(part.get("Content-Disposition"))
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if ctype == "text/plain" and "attachment" not in cdispo:
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message_body = part.get_payload(decode=True).decode("utf-8")
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break
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else:
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message_body = email_msg.get_payload(decode=True).decode("utf-8")
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body = clean_email_body(message_body)
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return {
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"id": message_id,
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"threadId": message_data["threadId"],
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"snippet": message_data["snippet"],
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"body": body,
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"subject": subject,
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"sender": sender,
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}
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