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
141 lines
4.8 KiB
Python
141 lines
4.8 KiB
Python
import base64
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import email
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from enum import Enum
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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, 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 Resource(str, Enum):
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"""Enumerator of Resources to search."""
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THREADS = "threads"
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MESSAGES = "messages"
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class SearchArgsSchema(BaseModel):
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"""Input for SearchGmailTool."""
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# From https://support.google.com/mail/answer/7190?hl=en
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query: str = Field(
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...,
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description="The Gmail query. Example filters include from:sender,"
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" to:recipient, subject:subject, -filtered_term,"
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" in:folder, is:important|read|starred, after:year/mo/date, "
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"before:year/mo/date, label:label_name"
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' "exact phrase".'
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" Search newer/older than using d (day), m (month), and y (year): "
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"newer_than:2d, older_than:1y."
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" Attachments with extension example: filename:pdf. Multiple term"
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" matching example: from:amy OR from:david.",
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)
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resource: Resource = Field(
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default=Resource.MESSAGES,
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description="Whether to search for threads or messages.",
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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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class GmailSearch(GmailBaseTool):
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"""Tool that searches for messages or threads in Gmail."""
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name: str = "search_gmail"
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description: str = (
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"Use this tool to search for email messages or threads."
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" The input must be a valid Gmail query."
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" The output is a JSON list of the requested resource."
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)
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args_schema: Type[SearchArgsSchema] = SearchArgsSchema
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def _parse_threads(self, threads: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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# Add the thread message snippets to the thread results
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results = []
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for thread in threads:
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thread_id = thread["id"]
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thread_data = (
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self.api_resource.users()
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.threads()
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.get(userId="me", id=thread_id)
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.execute()
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)
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messages = thread_data["messages"]
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thread["messages"] = []
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for message in messages:
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snippet = message["snippet"]
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thread["messages"].append({"snippet": snippet, "id": message["id"]})
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results.append(thread)
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return results
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def _parse_messages(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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results = []
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for message in messages:
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message_id = message["id"]
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message_data = (
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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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.execute()
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)
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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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results.append(
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{
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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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)
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return results
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def _run(
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self,
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query: str,
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resource: Resource = Resource.MESSAGES,
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max_results: int = 10,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> List[Dict[str, Any]]:
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"""Run the tool."""
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results = (
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self.api_resource.users()
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.messages()
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.list(userId="me", q=query, maxResults=max_results)
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.execute()
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.get(resource.value, [])
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)
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if resource == Resource.THREADS:
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return self._parse_threads(results)
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elif resource == Resource.MESSAGES:
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return self._parse_messages(results)
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else:
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raise NotImplementedError(f"Resource of type {resource} not implemented.")
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