54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
import logging
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from utils.observability import build_trace_id
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from core.websocket_brain_flow import decide_brain_action, execute_brain_action
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logger = logging.getLogger("cs_agent")
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async def handle_agent_reply_flow(client, data: dict, *, workflow, shop_type_resolver):
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"""处理单条消息：统一走 Brain 决策 + 执行。"""
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try:
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msg_text = client.to_chinese(data.get("msg", ""))
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customer_id = data.get("from_id", "")
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trace_id = build_trace_id(data.get("acc_id", ""), customer_id, data.get("msg_id", ""), msg_text[:64])
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data["_trace_id"] = trace_id
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shop_type = shop_type_resolver(data.get("acc_id", ""), client.to_chinese(data.get("goods_name", "") or ""))
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customer_msg = client._build_customer_message(data)
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decision = await decide_brain_action(
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client,
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data,
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customer_msg,
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trace_id=trace_id,
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msg_text=msg_text,
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shop_type=shop_type,
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)
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client._activity_log(
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"brain_decision",
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trace_id=trace_id,
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acc_id=data.get("acc_id", ""),
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customer_id=data.get("from_id", ""),
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action=decision.action,
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source=decision.source,
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should_reply=bool(decision.should_reply),
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need_transfer=bool(decision.need_transfer),
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)
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await execute_brain_action(
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client,
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data,
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decision=decision,
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trace_id=trace_id,
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msg_text=msg_text,
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)
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except Exception as e:
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logger.error("Agent 处理失败: %s", e)
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client._activity_log(
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"agent_process_error",
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trace_id=data.get("_trace_id", ""),
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acc_id=data.get("acc_id", ""),
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customer_id=data.get("from_id", ""),
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error=str(e),
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)
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