新增 Microsoft Teams 渠道扩展,支持在 Yuxi 平台中集成 Microsoft Teams 协作平台。 包含以下功能模块: - sdk: Bot Framework SDK 封装 - config: 渠道配置管理 - gateway: SSE/WebSocket 网关接入 - webhook: Webhook 事件处理 - outbound: 外发消息管理 - streaming: 流式消息处理 - pairing: 用户配对与绑定 - security: 安全校验 - auth: JWT 认证 - jwks: JWKS 密钥管理 - dedupe: 消息去重 - monitor: 渠道状态监控 - status: 会话状态管理 - session: 会话管理 - state: 状态管理 - runtime: 运行时管理 - actions: 动作处理 - adaptive_card: 自适应卡片 - task_modules: 任务模块 - message_extension: 消息扩展 - proactive: Proactive Messaging - graph: Microsoft Graph API 集成 - graph_teams: Teams 操作 - graph_members: 成员管理 - graph_messages: 消息获取 - graph_thread: 线程管理 - graph_users: 用户管理 - graph_upload: 文件上传 - files: 文件处理 - file_consent: 文件授权 - conversations: 会话存储 - mentions: @提及处理 - threading: 线程管理 - reactions: 表情反应 - polls: 投票功能 - meetings: 会议集成 - feedback: 反馈处理 - sso: 单点登录 - deep_links: 深层链接 - incoming_webhook: 入站 Webhook - localization: 本地化 - user_agent: 用户代理 - sent_message_cache: 消息缓存 - types: 类型定义
70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
from __future__ import annotations
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import logging
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from .graph import MSTeamsGraphClient
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logger = logging.getLogger(__name__)
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async def fetch_thread_replies(
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graph_client: MSTeamsGraphClient,
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chat_id: str,
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parent_message_id: str,
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*,
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limit: int = 50,
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) -> list[dict]:
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path = f"/chats/{chat_id}/messages/{parent_message_id}/replies?$top={limit}"
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try:
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data = await graph_client.fetch_json(path)
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return _parse_messages(data)
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except Exception as e:
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logger.warning("Failed to fetch thread replies for chat=%s, message=%s: %s", chat_id, parent_message_id, e)
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return []
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async def fetch_thread_root(
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graph_client: MSTeamsGraphClient,
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chat_id: str,
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parent_message_id: str,
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) -> dict | None:
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path = f"/chats/{chat_id}/messages/{parent_message_id}"
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try:
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data = await graph_client.fetch_json(path)
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return _parse_single_message(data)
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except Exception as e:
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logger.warning("Failed to fetch thread root for chat=%s, message=%s: %s", chat_id, parent_message_id, e)
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return None
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def _parse_single_message(data: dict) -> dict:
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body = data.get("body", {})
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content = body.get("content", "")
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from_info = data.get("from", {})
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return {
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"id": data.get("id", ""),
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"text": content,
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"timestamp": data.get("createdDateTime", ""),
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"from": from_info,
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"from_name": from_info.get("user", {}).get("displayName", ""),
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}
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def _parse_messages(data: dict) -> list[dict]:
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messages = data.get("value", [])
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result = []
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for msg in messages:
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body = msg.get("body", {})
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content = body.get("content", "")
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from_info = msg.get("from", {})
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result.append(
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{
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"id": msg.get("id", ""),
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"text": content,
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"timestamp": msg.get("createdDateTime", ""),
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"from": from_info,
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"from_name": from_info.get("user", {}).get("displayName", ""),
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}
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)
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return result
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