Kris
94444ced96
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
99 lines
3.0 KiB
Python
99 lines
3.0 KiB
Python
from __future__ import annotations
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import logging
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logger = logging.getLogger(__name__)
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class MSTeamsFeedback:
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def __init__(
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self,
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*,
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enabled: bool = True,
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reflection_enabled: bool = True,
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reflection_cooldown_ms: int = 300000,
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):
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self.enabled = enabled
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self.reflection_enabled = reflection_enabled
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self.reflection_cooldown_ms = reflection_cooldown_ms
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self._last_reflection: float = 0.0
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def is_enabled(self) -> bool:
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return self.enabled
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def is_reflection_enabled(self) -> bool:
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return self.reflection_enabled
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def can_reflect(self) -> bool:
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if not self.reflection_enabled:
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return False
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import time
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now = time.monotonic() * 1000
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return now - self._last_reflection >= self.reflection_cooldown_ms
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def mark_reflection_sent(self) -> None:
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import time
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self._last_reflection = time.monotonic() * 1000
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def parse_teams_feedback(self, value: dict) -> dict | None:
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feedback = value.get("feedback", {})
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reaction = feedback.get("reaction", "")
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if reaction in ("like", "dislike"):
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return {
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"reaction": reaction,
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"feedback_id": feedback.get("id", ""),
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"activity_id": value.get("activityId", ""),
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"additional_info": feedback.get("additionalInfo", {}),
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}
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return None
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def build_feedback_reflection(
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self,
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feedback_data: dict,
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) -> str | None:
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reaction = feedback_data.get("reaction", "")
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additional = feedback_data.get("additional_info", {})
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if reaction == "dislike":
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intro = "用户对 AI 回复表示不满意"
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if additional:
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reasons = additional.get("reasons", [])
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text = additional.get("text", "")
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details = []
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if reasons:
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details.append(f"原因: {', '.join(reasons)}")
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if text:
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details.append(f"反馈: {text}")
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if details:
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intro += f" ({'; '.join(details)})"
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return intro
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return None
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async def handle_feedback_invoke(
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self,
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adapter,
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conversation_store,
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activity_data: dict,
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) -> dict:
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value = activity_data.get("value", {}) or {}
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feedback = self.parse_teams_feedback(value)
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if not feedback:
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return {"status": 200}
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if feedback["reaction"] == "like":
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logger.info("User liked AI response (activity=%s)", feedback["activity_id"])
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elif feedback["reaction"] == "dislike":
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logger.info("User disliked AI response (activity=%s)", feedback["activity_id"])
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if self.can_reflect():
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reflection = self.build_feedback_reflection(feedback)
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if reflection:
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logger.info("Feedback reflection: %s", reflection)
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self.mark_reflection_sent()
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return {"status": 200}
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