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