Kris
7c6186e9a4
该提交完整实现了ForcePilot的Farcaster通道插件，包含： 1. 基础配置适配器与多账户支持 2. Neynar API客户端封装，带重试机制与签名验证 3. 消息去重处理模块 4. 网关服务与健康检查、轮询降级逻辑 5. Webhook回调端点与事件解析 6. 收发消息、 reactions、媒体发送等完整交互能力 7. 插件元数据与系统集成适配
133 lines
4.3 KiB
Python
133 lines
4.3 KiB
Python
import logging
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import re
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from datetime import datetime
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from yuxi.channel.message.models import MessageType, PeerInfo, UnifiedMessage
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from yuxi.channel.routing.models import PeerKind
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logger = logging.getLogger(__name__)
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class FarcasterMonitor:
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def __init__(self, bot_fid: int = 0, bot_fname: str = ""):
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self._bot_fid = bot_fid
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self._bot_fname = bot_fname
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def convert_cast_to_unified(
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self,
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cast: dict,
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*,
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account_id: str = "default",
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) -> UnifiedMessage | None:
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text = cast.get("text", "")
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author = cast.get("author", {})
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author_fid = author.get("fid")
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if author_fid is None:
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logger.warning("Farcaster cast missing author.fid, skipping")
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return None
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if author_fid == self._bot_fid:
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return None
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clean_text = _strip_bot_mentions(text, self._bot_fname, self._bot_fid) if self._bot_fname else text
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display_name = author.get("display_name") or author.get("username") or f"fid:{author_fid}"
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timestamp = None
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ts_str = cast.get("timestamp", "")
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if ts_str:
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try:
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timestamp = datetime.fromisoformat(ts_str.replace("Z", "+00:00"))
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except (ValueError, TypeError):
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pass
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embeds = cast.get("embeds", [])
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media_urls = []
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for embed in embeds:
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if isinstance(embed, dict) and "url" in embed:
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media_urls.append(embed["url"])
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return UnifiedMessage(
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msg_id=_make_msg_id("cast", cast.get("hash", "")),
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channel_type="farcaster",
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account_id=account_id,
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content=clean_text or text,
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sender=PeerInfo(
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kind=PeerKind.DIRECT,
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id=f"farcaster:{author_fid}",
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display_name=display_name,
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),
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message_type=MessageType.TEXT,
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media_urls=media_urls if media_urls else None,
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timestamp=timestamp,
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reply_to_id=cast.get("parent_hash"),
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raw_payload=cast,
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metadata={
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"cast_hash": cast.get("hash", ""),
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"thread_hash": cast.get("thread_hash"),
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"author_fid": author_fid,
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"author_fname": author.get("username", ""),
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"pfp_url": author.get("pfp_url"),
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"channel": cast.get("channel"),
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},
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)
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def convert_reaction_to_unified(
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self,
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reaction: dict,
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*,
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account_id: str = "default",
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) -> UnifiedMessage | None:
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reaction_type = reaction.get("reaction_type", "")
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user = reaction.get("user", {})
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cast = reaction.get("cast", {})
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user_fid = user.get("fid")
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if user_fid is None:
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return None
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if user_fid == self._bot_fid:
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return None
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display_name = user.get("display_name") or user.get("username") or f"fid:{user_fid}"
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cast_hash = cast.get("hash", "")
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return UnifiedMessage(
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msg_id=_make_msg_id("reaction", f"{cast_hash}:{user_fid}:{reaction_type}"),
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channel_type="farcaster",
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account_id=account_id,
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content=f"[{reaction_type}] cast/{cast_hash}",
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sender=PeerInfo(
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kind=PeerKind.DIRECT,
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id=f"farcaster:{user_fid}",
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display_name=display_name,
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),
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message_type=MessageType.EVENT,
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raw_payload=reaction,
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timestamp=datetime.now(datetime.UTC),
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metadata={
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"reaction_type": reaction_type,
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"cast_hash": cast_hash,
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"cast_text": cast.get("text", ""),
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"author_fid": user_fid,
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"author_fname": user.get("username", ""),
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},
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)
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def extract_mentions(self, text: str) -> list[str]:
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return re.findall(r"@(\w+)", text)
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def strip_mentions(self, text: str) -> str:
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return re.sub(r"@\w+", "", text).strip()
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def _strip_bot_mentions(text: str, bot_fname: str, bot_fid: int) -> str:
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text = re.sub(rf"@?{re.escape(bot_fname)}\b", "", text)
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text = re.sub(rf"@fid:{bot_fid}", "", text)
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return text.strip()
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def _make_msg_id(prefix: str, hash_val: str) -> str:
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return f"{prefix}:{hash_val}"
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