refactor: migrate workflow to v2 core and archive legacy modules

2026-03-04 21:52:24 +08:00
parent e1ce17f2aa
commit fa61b11b02
156 changed files with 1781 additions and 2066 deletions
--- a/legacy/reply_finalize_flow.py
+++ b/legacy/reply_finalize_flow.py
@@ -0,0 +1,112 @@
+from __future__ import annotations
+
+import asyncio
+import logging
+from datetime import datetime
+from typing import TYPE_CHECKING
+
+from utils.metrics_tracker import emit as metrics_emit
+from core.post_ops import auto_tag, detect_discount, detect_price, record_deal_fail
+
+logger = logging.getLogger("cs_agent")
+
+if TYPE_CHECKING:
+    from core.pydantic_ai_agent import AgentResponse, ConversationState, CustomerMessage, CustomerServiceAgent
+
+
+async def finalize_ai_reply(
+    agent: "CustomerServiceAgent",
+    *,
+    message: "CustomerMessage",
+    state: "ConversationState",
+    reply_text: str,
+) -> "AgentResponse":
+    from core.pydantic_ai_agent import AgentResponse, TRANSFER_MESSAGE
+
+    try:
+        from utils.content_filter import should_block_reply
+
+        blocked, fallback = should_block_reply(reply_text)
+        if blocked:
+            logger.warning("[Agent] 敏感词拦截，使用兜底回复")
+            reply_text = fallback or "好的，您稍等，我帮您确认一下"
+    except Exception:
+        pass
+
+    try:
+        from utils.api_cost_tracker import record
+
+        record("openai_chat", count=1)
+    except Exception:
+        pass
+
+    detect_price(reply_text, state)
+    detect_discount(message.msg, state)
+    asyncio.create_task(auto_tag(message, state))
+
+    need_transfer = False
+    transfer_msg = ""
+    transfer_keywords = ["TRANSFER_REQUESTED", "[转移会话]", "转移会话", "转人工", "转接"]
+    if reply_text and any(kw in reply_text for kw in transfer_keywords):
+        need_transfer = True
+        transfer_msg = TRANSFER_MESSAGE
+        metrics_emit("transfer_to_human", customer_id=message.from_id, acc_id=message.acc_id)
+
+    evo_hit = agent._evolution_enabled_for_customer(message.from_id)
+    if evo_hit and agent._is_service_risk_inquiry(message.msg):
+        if agent._evolution_has_proposal("policy-risk-transfer"):
+            need_transfer = True
+            transfer_msg = TRANSFER_MESSAGE
+            metrics_emit("evolution_force_transfer", customer_id=message.from_id, acc_id=message.acc_id)
+        if agent._evolution_has_proposal("tone-empathy-pack"):
+            reply_text = "抱歉让您不舒服了，这边先为您转接人工专员马上处理。"
+            metrics_emit("evolution_empathy_reply", customer_id=message.from_id, acc_id=message.acc_id)
+
+    customer_text, _ = agent._split_customer_text(message.msg)
+    no_convert_keywords = ["算了", "不要了", "不做了", "下次再说", "先不弄了"]
+    if customer_text and state.last_price and state.last_price > 0:
+        if any(kw in customer_text for kw in no_convert_keywords):
+            reason = "嫌贵放弃" if any(k in customer_text for k in ["贵", "贵了", "便宜"]) else "放弃"
+            asyncio.create_task(
+                record_deal_fail(
+                    customer_id=message.from_id,
+                    customer_name=message.from_name,
+                    acc_id=message.acc_id,
+                    platform=message.acc_type,
+                    reason=reason,
+                )
+            )
+
+    should_reply = bool(reply_text and reply_text.strip()) and not need_transfer
+    if evo_hit and need_transfer and agent._evolution_has_proposal("tone-empathy-pack"):
+        should_reply = True
+
+    if should_reply:
+        reply_text = await agent._rewrite_reply_with_ai(
+            message=message,
+            state=state,
+            reply=reply_text,
+            scene="final_reply",
+        )
+
+    if should_reply:
+        state.last_reply_at = datetime.now()
+        logger.info("[REPLY->CUSTOMER] %s", reply_text)
+    else:
+        logger.info("[REPLY->CUSTOMER] <静默/不发送>")
+
+    agent._activity_log(
+        "agent_outbound_decision",
+        customer_id=message.from_id,
+        should_reply=should_reply,
+        need_transfer=need_transfer,
+        reply=reply_text or "",
+        transfer_msg=transfer_msg,
+    )
+
+    return AgentResponse(
+        reply=reply_text or "",
+        should_reply=should_reply,
+        need_transfer=need_transfer,
+        transfer_msg=transfer_msg,
+    )