126 lines
6.3 KiB
Python
126 lines
6.3 KiB
Python
from __future__ import annotations
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from .shared import *
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class FeishuReplyTemplatesMixin:
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@staticmethod
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def _build_butler_decision_reply(capture_result: Dict[str, Any]) -> Optional[str]:
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if not isinstance(capture_result, dict):
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return None
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status = str(capture_result.get("status") or "").strip().lower()
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if status != "captured":
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return None
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results = capture_result.get("results")
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if not isinstance(results, list) or not results:
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return None
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auto_results = [row for row in results if str((row or {}).get("route_status") or "") == "auto_processed"]
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pending_results = [row for row in results if str((row or {}).get("route_status") or "") == "pending"]
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classification = str(capture_result.get("classification") or "signal").strip().lower()
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signal_id = str(capture_result.get("signal_id") or "").strip()
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linked_project_ids = capture_result.get("linked_project_ids") or []
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project_hint = ""
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if isinstance(linked_project_ids, list) and linked_project_ids:
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project_hint = f"，并关联项目 #{linked_project_ids[0]}"
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if pending_results:
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if classification in {"project", "new_project"}:
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return (
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"我已先完成项目候选入队，当前有不确定项需要你确认："
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"1) 归属项目/是否新建 2) 优先级 3) 截止时间。"
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"确认后我会自动继续推进。"
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)
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return (
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"我已先完成信号入队，当前判断存在不确定项（多半是项目归属或范围边界）。"
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"请你补充：归属项目、优先级、期望完成时间，我会立即自动续跑。"
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)
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if auto_results:
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if classification in {"project", "new_project"}:
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return (
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f"已自动完成项目流处理{project_hint}。"
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"后续我会继续按管家流程拆解与分派，除非你要求人工接管。"
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)
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if signal_id:
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return (
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f"已自动完成信号流处理（信号#{signal_id}{project_hint}）。"
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"这是明确需求场景，我会继续自动推进后续动作。"
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)
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return "已自动完成信号流处理。后续我会继续自动推进，只有不确定项才会向你确认。"
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return None
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@staticmethod
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def _build_execution_receipt_reply(
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*,
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message_content: Optional[str],
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capture_result: Dict[str, Any],
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) -> Optional[str]:
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"""
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对“已执行”场景优先给简短回执，避免 LLM 输出教程式长文或二次处理建议。
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"""
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if not isinstance(capture_result, dict):
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return None
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status = str(capture_result.get("status") or "").strip().lower()
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if status not in {"captured", "ignored"}:
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return None
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if status == "ignored":
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reason = str(capture_result.get("reason") or "").strip().lower()
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if reason == "duplicate_filtered":
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return "这条消息我已处理过，未重复入库。"
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if reason in {"non_requirement_noise", "empty_or_emoji_only"}:
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return "这条消息不是可执行需求，我没有入库。请直接说要新增什么信号或任务。"
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return "这条消息已忽略（未入库）。如需执行，请明确目标、对象和动作。"
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text = str(message_content or "").strip()
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strict_keywords = ("单独信号源", "单个信号源", "只入库", "仅入库", "不需要二次处理")
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strict_mode = any(k in text for k in strict_keywords)
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primary_route_status = ""
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results = capture_result.get("results")
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if isinstance(results, list) and results:
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first = results[0] if isinstance(results[0], dict) else {}
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primary_route_status = str((first or {}).get("route_status") or "").strip().lower()
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if primary_route_status == "auto_done" or primary_route_status == "auto_processed":
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return "已自动处理完成并入库，后续动作已继续自动推进。"
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if primary_route_status == "confirmed":
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return "已按确认结果执行并入库。"
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if primary_route_status in {"queued_for_decision", "pending"}:
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clarification_message = str(capture_result.get("clarification_message") or "").strip()
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if clarification_message:
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return clarification_message
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return "已完成入库，当前进入待确认队列。"
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if primary_route_status == "dismissed":
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return "该消息已记录，但当前标记为忽略，不会继续执行。"
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if primary_route_status == "failed":
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return "未执行：受控执行器拒绝了这次动作，请补充缺失字段或检查项目上下文。"
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if primary_route_status == "undone":
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return "上一次自动结果已撤销，当前不会继续执行。"
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signal_id = str(capture_result.get("signal_id") or "").strip()
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linked_project_ids = capture_result.get("linked_project_ids")
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project_id: Optional[str] = None
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if isinstance(linked_project_ids, list) and linked_project_ids:
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project_id = str(linked_project_ids[0]).strip() or None
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if not project_id:
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candidate = capture_result.get("created_project_id")
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if candidate is not None:
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project_id = str(candidate).strip() or None
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if signal_id and project_id:
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if strict_mode:
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return f"已按你的要求仅执行入库：信号#{signal_id}，项目#{project_id}。"
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return f"已执行完成：信号#{signal_id} 已入库并关联项目#{project_id}。"
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if signal_id:
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if strict_mode:
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return f"已按你的要求仅执行入库：信号#{signal_id}。"
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return f"已执行完成：信号#{signal_id} 已入库。"
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if project_id:
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if strict_mode:
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return f"已按你的要求执行：项目#{project_id} 已关联。"
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return f"已执行完成：已关联项目#{project_id}。"
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return "已执行完成。"
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