mirror of
https://github.com/hwchase17/langchain
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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import json
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import logging
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from typing import 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.slack.base import SlackBaseTool
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class SlackGetMessageSchema(BaseModel):
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"""Input schema for SlackGetMessages."""
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channel_id: str = Field(
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...,
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description="The channel id, private group, or IM channel to send message to.",
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)
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class SlackGetMessage(SlackBaseTool):
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"""Tool that gets Slack messages."""
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name: str = "get_messages"
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description: str = "Use this tool to get messages from a channel."
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args_schema: Type[SlackGetMessageSchema] = SlackGetMessageSchema
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def _run(
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self,
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channel_id: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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logging.getLogger(__name__)
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try:
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result = self.client.conversations_history(channel=channel_id)
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messages = result["messages"]
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filtered_messages = [
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{key: message[key] for key in ("user", "text", "ts")}
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for message in messages
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if "user" in message and "text" in message and "ts" in message
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]
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return json.dumps(filtered_messages, ensure_ascii=False)
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except Exception as e:
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return "Error creating conversation: {}".format(e)
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