131 lines
4.7 KiB
Python
131 lines
4.7 KiB
Python
import os
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import re
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import time
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def normalize_reply_semantic_key(text: str) -> str:
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s = (text or "").strip().lower()
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if not s:
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return ""
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for w in ("哈", "呀", "哦", "呢", "啦", "咯", "亲"):
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s = s.replace(w, "")
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s = re.sub(r"[，。！？、,.!?:：；\s~\-—_]+", "", s)
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return s[:200]
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def classify_outbound_reply(text: str) -> str:
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s = (text or "").strip()
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if not s:
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return "empty"
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if any(k in s for k in ("报价", "总价", "多少钱", "多少", "马上给你报价", "先给你报")):
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return "quote"
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if any(k in s for k in ("继续发图", "发完", "发图", "把图发", "先看图")):
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return "collect"
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if any(k in s for k in ("在吗", "你好", "在的", "在呢")):
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return "greeting"
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if any(k in s for k in ("转人工", "转接", "转给")):
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return "transfer"
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if any(k in s for k in ("稍等", "我先看", "看一下", "看下")):
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return "ack"
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return "general"
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def template_family(reply: str) -> str:
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s = (reply or "").strip()
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if not s:
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return ""
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if "需求我记上了" in s and "继续发图" in s:
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return "collect_remind"
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if ("这批图过一遍" in s or "收齐了" in s or "收好了" in s) and ("总价" in s or "报价" in s):
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return "quote_defer"
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if "图片收到了" in s and "继续发" in s:
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return "collect_ack"
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if "好嘞，你稍等下，我这边看一下" in s:
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return "fallback_ack"
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return ""
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def outbound_arbiter(client, original_msg: dict, reply_content: str, trace_id: str) -> tuple[bool, str]:
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"""
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统一出站裁决层：
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1) 语义去重（相同语义短窗口不重复）；
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2) 同类回复节流（同类话术短窗口不重复）。
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"""
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key = f"{original_msg.get('acc_id', '')}:{original_msg.get('from_id', '')}"
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now_mono = time.monotonic()
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sem_key = normalize_reply_semantic_key(reply_content)
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reply_class = classify_outbound_reply(reply_content)
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try:
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sem_window = max(30, int(os.getenv("AI_OUTBOUND_SEMANTIC_DEDUPE_SECONDS", "180")))
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except Exception:
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sem_window = 180
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try:
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class_window = max(20, int(os.getenv("AI_OUTBOUND_CLASS_DEDUPE_SECONDS", "90")))
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except Exception:
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class_window = 90
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try:
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template_window = max(120, int(os.getenv("AI_OUTBOUND_TEMPLATE_FATIGUE_SECONDS", "600")))
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except Exception:
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template_window = 600
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sem_bucket = client._outbound_semantic_seen.setdefault(key, {})
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cls_bucket = client._outbound_class_seen.setdefault(key, {})
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tpl_bucket = client._outbound_template_seen.setdefault(key, {})
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client._prune_seen(sem_bucket, now_mono, ttl_sec=max(sem_window * 2, 240))
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client._prune_seen(cls_bucket, now_mono, ttl_sec=max(class_window * 2, 180))
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client._prune_seen(tpl_bucket, now_mono, ttl_sec=max(template_window * 2, 1200))
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if sem_key and (now_mono - sem_bucket.get(sem_key, 0.0)) < sem_window:
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client._activity_log(
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"outbound_arbiter_block",
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trace_id=trace_id,
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acc_id=original_msg.get("acc_id", ""),
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customer_id=original_msg.get("from_id", ""),
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reason="semantic_duplicate",
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semantic_key=sem_key[:80],
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reply_class=reply_class,
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msg=reply_content,
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)
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return False, "semantic_duplicate"
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family = template_family(reply_content)
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if family and (now_mono - tpl_bucket.get(family, 0.0)) < template_window:
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client._activity_log(
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"outbound_arbiter_block",
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trace_id=trace_id,
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acc_id=original_msg.get("acc_id", ""),
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customer_id=original_msg.get("from_id", ""),
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reason="template_fatigue",
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template_family=family,
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msg=reply_content,
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)
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return False, "template_fatigue"
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if reply_class in {"quote", "collect", "ack"} and (now_mono - cls_bucket.get(reply_class, 0.0)) < class_window:
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client._activity_log(
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"outbound_arbiter_block",
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trace_id=trace_id,
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acc_id=original_msg.get("acc_id", ""),
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customer_id=original_msg.get("from_id", ""),
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reason="class_duplicate",
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reply_class=reply_class,
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msg=reply_content,
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)
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return False, "class_duplicate"
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if sem_key:
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sem_bucket[sem_key] = now_mono
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cls_bucket[reply_class] = now_mono
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if family:
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tpl_bucket[family] = now_mono
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client._activity_log(
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"outbound_arbiter_pass",
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trace_id=trace_id,
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acc_id=original_msg.get("acc_id", ""),
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customer_id=original_msg.get("from_id", ""),
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reply_class=reply_class,
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template_family=family,
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semantic_key=sem_key[:80] if sem_key else "",
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)
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return True, "pass"
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