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https://github.com/hansjone/oclaw.git
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oliver
5336f8835f
Extract quotedText from reply context correctly and enrich inbound only after mention detection, keeping strict @-required group policy. Co-authored-by: Cursor <cursoragent@cursor.com>
353 lines
11 KiB
Python
353 lines
11 KiB
Python
from __future__ import annotations
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import os
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import re
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from dataclasses import dataclass
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from typing import Any
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GROUP_SESSION_USER_SENTINEL = "__group__"
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_NONSEND_REPLY_TEXTS = frozenset(
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{
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"(silent)",
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"[silent]",
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"no_reply",
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"no reply",
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"静默",
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}
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)
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def normalize_jid(jid: str) -> str:
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s = str(jid or "").strip().lower()
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if not s:
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return ""
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if "@" in s:
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user, domain = s.split("@", 1)
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user = user.split(":")[0]
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return f"{user}@{domain}"
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return s.split(":")[0]
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def jid_phone(jid: str) -> str:
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head = str(jid or "").strip().split("@", 1)[0]
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head = head.split(":", 1)[0]
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return re.sub(r"\D", "", head)
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def jid_base_local(jid: str) -> str:
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s = str(jid or "").strip().lower()
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if not s:
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return ""
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return s.split("@", 1)[0].split(":", 1)[0]
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def jids_same_user(a: str, b: str) -> bool:
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na = normalize_jid(a)
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nb = normalize_jid(b)
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if na and nb and na == nb:
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return True
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la = jid_base_local(a)
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lb = jid_base_local(b)
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if la and lb and la == lb:
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digits = re.sub(r"\D", "", la)
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if len(digits) >= 6:
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return True
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pa = jid_phone(a)
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pb = jid_phone(b)
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return len(pa) >= 6 and pa == pb
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def _bot_identity_jids(*, bot_jid: str | None, metadata: dict[str, Any] | None) -> list[str]:
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out: list[str] = []
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seen: set[str] = set()
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for candidate in [bot_jid]:
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s = str(candidate or "").strip()
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if s and s not in seen:
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seen.add(s)
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out.append(s)
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if isinstance(metadata, dict):
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for key in ("bot_lid", "botLid"):
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s = str(metadata.get(key) or "").strip()
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if s and s not in seen:
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seen.add(s)
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out.append(s)
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raw = _metadata_raw(metadata)
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for key in ("botLid", "bot_lid"):
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s = str(raw.get(key) or "").strip()
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if s and s not in seen:
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seen.add(s)
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out.append(s)
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return out
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def _metadata_raw(metadata: dict[str, Any] | None) -> dict[str, Any]:
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if not isinstance(metadata, dict):
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return {}
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raw = metadata.get("raw")
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return raw if isinstance(raw, dict) else {}
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def metadata_mentions_bot(metadata: dict[str, Any] | None) -> bool:
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"""Sidecar hint when WhatsApp omits mentionedJid (display-name @)."""
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if not isinstance(metadata, dict):
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return False
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if metadata.get("mentions_bot") is True or metadata.get("mentionsBot") is True:
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return True
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raw = _metadata_raw(metadata)
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return raw.get("mentionsBot") is True or raw.get("mentions_bot") is True
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def mentions_include_bot(
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*,
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mentions: list[str],
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bot_jid: str | None,
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metadata: dict[str, Any] | None = None,
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) -> bool:
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identities = _bot_identity_jids(bot_jid=bot_jid, metadata=metadata)
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if not identities:
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return False
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for raw in mentions or []:
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mention = str(raw or "").strip()
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if not mention:
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continue
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for identity in identities:
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if jids_same_user(mention, identity):
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return True
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return False
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def text_mentions_bot(*, text: str, bot_jid: str | None) -> bool:
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"""Fallback when WhatsApp omits mentionedJid but user visibly @-mentions the bot."""
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bot = str(bot_jid or "").strip()
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if not bot:
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return False
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phone = jid_phone(bot)
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if len(phone) < 6:
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return False
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body = str(text or "")
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if "@" not in body:
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return False
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digits_in_text = re.sub(r"\D", "", body)
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return phone in digits_in_text
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def is_reply_to_bot(*, metadata: dict[str, Any] | None, bot_jid: str | None) -> bool:
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raw = _metadata_raw(metadata)
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if raw.get("isReplyToBot") is True or raw.get("is_reply_to_bot") is True:
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return True
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quoted = ""
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if isinstance(metadata, dict):
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quoted = str(metadata.get("quoted_participant") or "").strip()
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if not quoted:
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quoted = str(raw.get("quotedParticipant") or raw.get("quoted_participant") or "").strip()
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bot = str(bot_jid or "").strip()
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if quoted and bot and jids_same_user(quoted, bot):
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return True
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return False
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def extract_quoted_ume_alert_text(*, metadata: dict[str, Any] | None) -> str:
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raw = _metadata_raw(metadata)
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quoted_text = str(raw.get("quotedText") or raw.get("quoted_text") or "").strip()
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if quoted_text and (quoted_text.startswith("[UME") or "[UME Alarm" in quoted_text[:120]):
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return quoted_text
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return ""
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def enrich_alert_group_question(*, user_text: str, quoted_alert: str) -> str:
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body = str(user_text or "").strip()
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quote = str(quoted_alert or "").strip()
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if not quote:
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return body
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if not body:
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return f"[Quoted UME alarm]\n{quote}"
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return f"[Quoted UME alarm]\n{quote}\n\n[User question]\n{body}"
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def normalize_jids(jids: list[str]) -> set[str]:
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out: set[str] = set()
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for raw in jids or []:
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n = normalize_jid(raw)
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if n:
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out.add(n)
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return out
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def session_user_key(*, is_group: bool, external_user_id: str) -> str:
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return GROUP_SESSION_USER_SENTINEL if is_group else str(external_user_id or "").strip()
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def infer_is_group_from_chat_id(chat_id: str) -> bool:
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c = str(chat_id or "").strip().lower()
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return c.endswith("@g.us")
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def resolve_is_group(*, payload_is_group: bool, chat_id: str) -> bool:
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if payload_is_group:
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return True
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return infer_is_group_from_chat_id(chat_id)
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def is_nonsend_channel_reply_text(text: str) -> bool:
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t = str(text or "").strip()
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if not t:
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return True
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normalized = t.lower().replace("（", "(").replace("）", ")")
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if normalized in _NONSEND_REPLY_TEXTS:
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return True
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return bool(re.fullmatch(r"no_reply", normalized, flags=re.IGNORECASE))
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def should_send_channel_reply_text(text: str) -> bool:
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return not is_nonsend_channel_reply_text(text)
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@dataclass(frozen=True)
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class GroupPolicyConfig:
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require_mention: bool = True
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triggers: tuple[str, ...] = ("/oclaw",)
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session_scope: str = "chat"
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def _parse_bool_env(name: str, default: bool) -> bool:
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raw = str(os.environ.get(name) or "").strip().lower()
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if not raw:
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return default
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return raw not in {"0", "false", "no", "off"}
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def _parse_triggers_env(name: str, default: tuple[str, ...]) -> tuple[str, ...]:
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raw = str(os.environ.get(name) or "").strip()
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if not raw:
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return default
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parts = [p.strip() for p in raw.split(",") if p.strip()]
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return tuple(parts) if parts else default
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def _parse_group_policy_dict(raw: Any) -> GroupPolicyConfig | None:
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if not isinstance(raw, dict):
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return None
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require_mention = raw.get("require_mention")
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triggers_raw = raw.get("triggers")
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session_scope = raw.get("session_scope")
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triggers: tuple[str, ...] | None = None
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if isinstance(triggers_raw, list):
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triggers = tuple(str(x).strip() for x in triggers_raw if str(x).strip())
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return GroupPolicyConfig(
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require_mention=bool(require_mention) if require_mention is not None else True,
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triggers=triggers if triggers is not None else ("/oclaw",),
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session_scope=str(session_scope or "chat").strip() or "chat",
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)
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def resolve_group_policy(*, account: dict[str, Any] | None = None) -> GroupPolicyConfig:
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cfg = (account or {}).get("config")
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if isinstance(cfg, dict):
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gp = _parse_group_policy_dict(cfg.get("group_policy"))
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if gp is not None:
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return gp
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gp = _parse_group_policy_dict(cfg.get("group"))
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if gp is not None:
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return gp
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return GroupPolicyConfig(
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require_mention=_parse_bool_env("AIA_WHATSAPP_GROUP_REQUIRE_MENTION", True),
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triggers=_parse_triggers_env("AIA_WHATSAPP_GROUP_TRIGGERS", ("/oclaw", "|oclaw")),
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)
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def should_process_group_inbound(
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*,
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is_group: bool,
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text: str,
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mentions: list[str],
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bot_jid: str | None,
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require_mention: bool = True,
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triggers: list[str] | tuple[str, ...] | None = None,
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metadata: dict[str, Any] | None = None,
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) -> bool:
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if not is_group:
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return True
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mentions_list = [str(m).strip() for m in (mentions or []) if str(m).strip()]
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trigger_list = [str(t) for t in (triggers or []) if str(t)]
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body = str(text or "")
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has_trigger = bool(trigger_list and any(t in body for t in trigger_list))
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bot_mentioned = mentions_include_bot(
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mentions=mentions_list,
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bot_jid=bot_jid,
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metadata=metadata,
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) or text_mentions_bot(text=text, bot_jid=bot_jid)
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# Multi-@: reply only when the bot is among mentionedJid; @ others alone stays silent.
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if mentions_list:
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if bot_mentioned:
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return True
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return has_trigger
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if metadata_mentions_bot(metadata):
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return True
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if is_reply_to_bot(metadata=metadata, bot_jid=bot_jid):
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return True
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if has_trigger:
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return True
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return not require_mention
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def build_group_sender_context(*, metadata: dict[str, Any] | None, external_user_id: str) -> str:
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meta = metadata if isinstance(metadata, dict) else {}
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raw = meta.get("raw") if isinstance(meta.get("raw"), dict) else {}
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push_name = str(raw.get("pushName") or meta.get("push_name") or meta.get("display_name") or "").strip()
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sender = str(external_user_id or "").strip()
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label = push_name or sender or "unknown"
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if sender and push_name and sender not in push_name:
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return f"[群成员: {label} ({sender})]"
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return f"[群成员: {label}]"
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def build_whatsapp_group_reply_metadata(
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*,
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inbound: Any,
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) -> dict[str, Any]:
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"""Outbound hints for WhatsApp sidecar: @ sender + quote original message."""
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meta = inbound.metadata if isinstance(getattr(inbound, "metadata", None), dict) else {}
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raw = meta.get("raw") if isinstance(meta.get("raw"), dict) else {}
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sender_jid = str(getattr(inbound, "external_user_id", "") or "").strip()
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chat_id = str(getattr(inbound, "external_chat_id", "") or "").strip()
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participant_raw = str(raw.get("participant") or sender_jid or "").strip()
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stanza_id = str(raw.get("id") or meta.get("message_id") or "").strip()
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quote_text = str(getattr(inbound, "text", "") or "").strip()
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push_name = str(raw.get("pushName") or meta.get("push_name") or "").strip()
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out: dict[str, Any] = {
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"is_group": True,
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"reply_to_user_id": participant_raw or normalize_jid(sender_jid),
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"mention_jids": [participant_raw] if participant_raw else ([normalize_jid(sender_jid)] if sender_jid else []),
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"quote_remote_jid": chat_id,
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"quote_stanza_id": stanza_id,
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"quote_participant": participant_raw or normalize_jid(str(raw.get("participant") or sender_jid or "")),
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"quote_text": quote_text,
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}
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if push_name:
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out["quote_push_name"] = push_name
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return out
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__all__ = [
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"GROUP_SESSION_USER_SENTINEL",
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"GroupPolicyConfig",
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"build_group_sender_context",
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"build_whatsapp_group_reply_metadata",
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"enrich_alert_group_question",
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"extract_quoted_ume_alert_text",
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"mentions_include_bot",
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"metadata_mentions_bot",
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"normalize_jid",
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"normalize_jids",
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"infer_is_group_from_chat_id",
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"is_nonsend_channel_reply_text",
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"resolve_is_group",
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"resolve_group_policy",
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"session_user_key",
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"should_process_group_inbound",
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"should_send_channel_reply_text",
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"text_mentions_bot",
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]
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