103 lines
3.4 KiB
Python
103 lines
3.4 KiB
Python
"""
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意图：继续历史工单。
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本文件职责：把 DeepSeek A 认出的续办意图交给流程，按工单号回到当时停点。
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工单号优先用路由结论；模型漏填时再从原话机读 WO 号（不在这里判断意图）。
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禁止：在本文件抽询价字段；禁止回调线程跑完整 LLM；禁止直连 TMS。
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"""
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from __future__ import annotations
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import logging
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from agent.channel.queue import get_message_store
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from agent.channel.wecom.models import InboundMessage
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from agent.policy import inquiry_copy as copy
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from agent.policy.air_text_flow import get_air_text_flow
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from agent.policy.land_text_flow import get_land_text_flow
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from agent.policy.sea_text_flow import get_sea_text_flow
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logger = logging.getLogger(__name__)
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def _pick_continue_flow(*, sender_id: str, work_order_no: str, flow=None):
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"""
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续办按工单选空运/海运流程。
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海运书签或主账业务线是 SEA 必须走海运 Owner。
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一律走空运会把已报价海运重放成空运协同卡（件数/毛重/包装）。
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单测传入 flow 时不改选路，保持原断言。
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"""
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if flow is not None:
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return flow
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sea = get_sea_text_flow()
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no = (work_order_no or "").strip()
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hit = sea.session_by_ticket(sender_id, no) if no else None
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if hit and (hit.business_line or "").upper() == "SEA":
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return sea
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land = get_land_text_flow()
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land_hit = land.session_by_ticket(sender_id, no) if no else None
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if land_hit and (land_hit.business_line or "").upper() == "LAND":
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return land
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getter = getattr(sea.ledger, "get_for_agent", None)
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if callable(getter) and no:
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try:
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view = getter(work_order_no=no, sender_id=sender_id) or {}
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except Exception:
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logger.warning("continue_thread 读主账业务线失败 wo=%s", no)
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view = {}
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line = str(view.get("business_line") or "").upper()
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if line == "SEA":
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return sea
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if line == "LAND":
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return land
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return get_air_text_flow()
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def handle_continue_thread(
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message: InboundMessage,
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*,
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thread_id: str = "",
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flow=None,
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store=None,
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) -> str:
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"""
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续办一张历史工单：回到该单当时节点的卡片/话术。
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thread_id：RouteDecision 里的工单号。副作用：outbox 回复；读主账。
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"""
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if not message.has_sender():
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logger.warning("continue_thread 拒绝：无 sender_id")
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return "reject_no_sender"
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msg_store = store or get_message_store()
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wo = (thread_id or "").strip() or copy.extract_work_order_no(message.content or "")
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engine = _pick_continue_flow(
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sender_id=message.sender_id, work_order_no=wo, flow=flow
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)
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replies: list[str] = []
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def reply(text: str, extra: dict | None = None) -> str:
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replies.append(text)
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ok, info = msg_store.enqueue_outbound(
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touser=message.sender_id,
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content=text,
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dedupe_key=f"cont:{message.message_id}:{len(replies)}",
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payload=dict(extra or {}),
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)
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logger.info("continue_thread 出站 ok=%s info=%s", ok, info)
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return info if ok else ""
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phase = engine.resume_historical(
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sender_id=message.sender_id,
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work_order_no=wo,
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reply=reply,
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text=message.content or "",
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)
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logger.info(
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"continue_thread phase=%s sender=%s wo=%s",
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phase,
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message.sender_id,
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wo or "-",
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)
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return phase
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