mirror of
https://github.com/NousResearch/hermes-agent.git
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85cdb04bd4
- Full comment handler: parse drive.notice.comment_add_v1 events, build timeline, run agent, deliver reply with chunking support. - 5 tools: feishu_doc_read, feishu_drive_list_comments, feishu_drive_list_comment_replies, feishu_drive_reply_comment, feishu_drive_add_comment. - 3-tier access control rules (exact doc > wildcard "*" > top-level > defaults) with per-field fallback. Config via ~/.hermes/feishu_comment_rules.json, mtime-cached hot-reload. - Self-reply filter using generalized self_open_id (supports future user-identity subscriptions). Receiver check: only process events where the bot is the @mentioned target. - Smart timeline selection, long text chunking, semantic text extraction, session sharing per document, wiki link resolution. Change-Id: I31e82fd6355173dbcc400b8934b6d9799e3137b9
136 lines
4 KiB
Python
136 lines
4 KiB
Python
"""Feishu Document Tool -- read document content via Feishu/Lark API.
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Provides ``feishu_doc_read`` for reading document content as plain text.
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Uses the same lazy-import + BaseRequest pattern as feishu_comment.py.
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"""
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import asyncio
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import json
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import logging
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import threading
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from tools.registry import registry, tool_error, tool_result
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logger = logging.getLogger(__name__)
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# Thread-local storage for the lark client injected by feishu_comment handler.
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_local = threading.local()
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def set_client(client):
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"""Store a lark client for the current thread (called by feishu_comment)."""
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_local.client = client
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def get_client():
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"""Return the lark client for the current thread, or None."""
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return getattr(_local, "client", None)
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# ---------------------------------------------------------------------------
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# feishu_doc_read
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# ---------------------------------------------------------------------------
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_RAW_CONTENT_URI = "/open-apis/docx/v1/documents/:document_id/raw_content"
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FEISHU_DOC_READ_SCHEMA = {
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"name": "feishu_doc_read",
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"description": (
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"Read the full content of a Feishu/Lark document as plain text. "
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"Useful when you need more context beyond the quoted text in a comment."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"doc_token": {
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"type": "string",
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"description": "The document token (from the document URL or comment context).",
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},
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},
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"required": ["doc_token"],
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},
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}
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def _check_feishu():
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try:
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import lark_oapi # noqa: F401
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return True
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except ImportError:
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return False
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def _handle_feishu_doc_read(args: dict, **kwargs) -> str:
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doc_token = args.get("doc_token", "").strip()
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if not doc_token:
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return tool_error("doc_token is required")
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client = get_client()
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if client is None:
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return tool_error("Feishu client not available (not in a Feishu comment context)")
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try:
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from lark_oapi import AccessTokenType
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from lark_oapi.core.enum import HttpMethod
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from lark_oapi.core.model.base_request import BaseRequest
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except ImportError:
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return tool_error("lark_oapi not installed")
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request = (
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BaseRequest.builder()
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.http_method(HttpMethod.GET)
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.uri(_RAW_CONTENT_URI)
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.token_types({AccessTokenType.TENANT})
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.paths({"document_id": doc_token})
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.build()
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)
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try:
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response = asyncio.get_event_loop().run_until_complete(
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asyncio.to_thread(client.request, request)
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)
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except RuntimeError:
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# No running event loop -- call synchronously
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response = client.request(request)
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code = getattr(response, "code", None)
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if code != 0:
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msg = getattr(response, "msg", "unknown error")
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return tool_error(f"Failed to read document: code={code} msg={msg}")
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raw = getattr(response, "raw", None)
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if raw and hasattr(raw, "content"):
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try:
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body = json.loads(raw.content)
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content = body.get("data", {}).get("content", "")
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return tool_result(success=True, content=content)
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except (json.JSONDecodeError, AttributeError):
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pass
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# Fallback: try response.data
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data = getattr(response, "data", None)
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if data:
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if isinstance(data, dict):
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content = data.get("content", "")
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else:
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content = getattr(data, "content", str(data))
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return tool_result(success=True, content=content)
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return tool_error("No content returned from document API")
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# ---------------------------------------------------------------------------
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# Registration
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# ---------------------------------------------------------------------------
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registry.register(
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name="feishu_doc_read",
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toolset="feishu_doc",
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schema=FEISHU_DOC_READ_SCHEMA,
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handler=_handle_feishu_doc_read,
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check_fn=_check_feishu,
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requires_env=[],
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is_async=False,
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description="Read Feishu document content",
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emoji="\U0001f4c4",
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)
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