chore: import private baseline from gitea state

This commit is contained in:
Losita
2026-05-11 19:24:06 +08:00
parent 161fc42c52
commit 1ba863d135
111 changed files with 10873 additions and 7347 deletions

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"""NapCat 入站编解码导出。"""
from .message_codec import NapCatInboundCodec
__all__ = ["NapCatInboundCodec"]

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"""NapCat 入站 JSON 卡片解析辅助。"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
import hashlib
import json
import re
from ...qq_emoji_list import QQ_FACE
from ...types import NapCatSegment, NapCatSegments
if TYPE_CHECKING:
from ...services import NapCatQueryService
class NapCatInboundCardMixin:
"""封装入站 JSON 卡片与预览内容转换逻辑。"""
if TYPE_CHECKING:
_query_service: NapCatQueryService
@staticmethod
def _build_text_segment(text: str) -> NapCatSegment: ...
@staticmethod
def _encode_binary(binary_data: bytes) -> str: ...
async def _build_json_segments(self, segment_data: Mapping[str, Any]) -> NapCatSegments:
"""将 JSON 卡片最佳努力转换为消息段列表。
Args:
segment_data: OneBot ``json`` 段的 ``data`` 字典。
Returns:
NapCatSegments: 转换后的消息段列表。
"""
json_data = str(segment_data.get("data") or "").strip()
if not json_data:
return [self._build_text_segment("[json]")]
try:
parsed_json = json.loads(json_data)
except Exception:
return [self._build_text_segment("[json]")]
if not isinstance(parsed_json, Mapping):
return [self._build_text_segment("[json]")]
app_name = str(parsed_json.get("app") or "").strip()
meta = parsed_json.get("meta", {})
if not isinstance(meta, Mapping):
meta = {}
if app_name == "com.tencent.mannounce":
return [self._build_mannounce_segment(meta)]
if app_name in {"com.tencent.music.lua", "com.tencent.structmsg"}:
music_segments = self._build_music_card_segments(meta)
if music_segments:
return music_segments
if app_name == "com.tencent.miniapp_01":
return await self._build_preview_text_segments(
self._build_miniapp_text(meta),
self._extract_preview_url(meta, "detail_1"),
)
if app_name == "com.tencent.giftmall.giftark":
gift_text = self._build_gift_text(meta)
if gift_text:
return [self._build_text_segment(gift_text)]
if app_name == "com.tencent.contact.lua":
return [self._build_text_segment(self._build_contact_text(meta, "推荐联系人"))]
if app_name == "com.tencent.troopsharecard":
return [self._build_text_segment(self._build_contact_text(meta, "推荐群聊"))]
if app_name == "com.tencent.tuwen.lua":
return await self._build_preview_text_segments(
self._build_news_text(meta, default_tag="图文分享"),
self._extract_preview_url(meta, "news"),
)
if app_name == "com.tencent.feed.lua":
return await self._build_preview_text_segments(
self._build_feed_text(meta),
self._extract_preview_url(meta, "feed", field_name="cover"),
)
if app_name == "com.tencent.template.qqfavorite.share":
return await self._build_preview_text_segments(
self._build_favorite_text(meta),
self._extract_preview_url(meta, "news"),
)
if app_name == "com.tencent.miniapp.lua":
return await self._build_preview_text_segments(
self._build_simple_title_text(meta, "miniapp", "QQ空间"),
self._extract_preview_url(meta, "miniapp"),
)
if app_name == "com.tencent.forum":
forum_segments = await self._build_forum_segments(meta)
if forum_segments:
return forum_segments
if app_name == "com.tencent.map":
location_text = self._build_location_text(meta)
if location_text:
return [self._build_text_segment(location_text)]
if app_name == "com.tencent.together":
together_text = self._build_together_text(meta)
if together_text:
return [self._build_text_segment(together_text)]
prompt = str(parsed_json.get("prompt") or "").strip()
if not prompt and isinstance(meta, Mapping):
prompt = str(meta.get("prompt") or "").strip()
text = prompt or app_name or "json"
return [self._build_text_segment(f"[json:{text}]")]
def _build_mannounce_segment(self, meta: Mapping[str, Any]) -> NapCatSegment:
"""构造群公告文本段。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
NapCatSegment: 群公告文本段。
"""
mannounce = meta.get("mannounce", {})
if not isinstance(mannounce, Mapping):
mannounce = {}
title = str(mannounce.get("title") or "").strip()
text = str(mannounce.get("text") or "").strip()
encode_flag = mannounce.get("encode")
if encode_flag == 1:
title = self._safe_base64_decode(title)
text = self._safe_base64_decode(text)
if title and text:
content = f"[{title}]{text}"
elif title:
content = f"[{title}]"
elif text:
content = text
else:
content = "[群公告]"
return self._build_text_segment(content)
def _build_music_card_segments(self, meta: Mapping[str, Any]) -> NapCatSegments:
"""构造音乐卡片文本段。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
NapCatSegments: 音乐卡片转换后的消息段列表。
"""
music = meta.get("music", {})
if not isinstance(music, Mapping):
return []
title = str(music.get("title") or "").strip()
singer = str(music.get("desc") or music.get("singer") or "").strip()
tag = str(music.get("tag") or "音乐分享").strip()
text_parts: List[str] = [f"[{tag}]"]
if title:
text_parts.append(title)
if singer:
text_parts.append(f"- {singer}")
content = " ".join(text_parts).strip() or "[音乐分享]"
return [self._build_text_segment(content)]
async def _build_preview_text_segments(
self,
text: str,
preview_url: str,
) -> NapCatSegments:
"""构造“文本 + 预览图”消息段列表。
Args:
text: 主文本内容。
preview_url: 预览图地址。
Returns:
NapCatSegments: 转换后的消息段列表。
"""
segments: NapCatSegments = [self._build_text_segment(text or "[卡片消息]")]
image_segment = await self._build_remote_image_segment(preview_url)
if image_segment is not None:
segments.append(image_segment)
return segments
async def _build_remote_image_segment(self, image_url: str) -> Optional[NapCatSegment]:
"""从远端图片地址构造图片消息段。
Args:
image_url: 图片地址。
Returns:
Optional[NapCatSegment]: 成功时返回图片消息段,否则返回 ``None``。
"""
normalized_url = str(image_url or "").strip()
if not normalized_url:
return None
binary_data = await self._query_service.download_binary(normalized_url)
if not binary_data:
return None
return {
"type": "image",
"data": "",
"hash": hashlib.sha256(binary_data).hexdigest(),
"binary_data_base64": self._encode_binary(binary_data),
}
def _build_miniapp_text(self, meta: Mapping[str, Any]) -> str:
"""构造小程序分享文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: 小程序分享文本。
"""
detail = meta.get("detail_1", {})
if not isinstance(detail, Mapping):
return "[小程序]"
title = str(detail.get("title") or "").strip()
desc = str(detail.get("desc") or "").strip()
if title and desc:
return f"[小程序] {title}{desc}"
if title:
return f"[小程序] {title}"
if desc:
return f"[小程序] {desc}"
return "[小程序]"
def _build_gift_text(self, meta: Mapping[str, Any]) -> str:
"""构造礼物卡片文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: 礼物卡片文本。
"""
giftark = meta.get("giftark", {})
if not isinstance(giftark, Mapping):
return "[赠送礼物]"
gift_name = str(giftark.get("title") or "礼物").strip()
desc = str(giftark.get("desc") or "").strip()
if desc:
return f"[赠送礼物: {gift_name}] {desc}"
return f"[赠送礼物: {gift_name}]"
def _build_contact_text(self, meta: Mapping[str, Any], default_tag: str) -> str:
"""构造推荐联系人或群聊文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
default_tag: 默认标签文本。
Returns:
str: 推荐对象文本。
"""
contact = meta.get("contact", {})
if not isinstance(contact, Mapping):
return f"[{default_tag}]"
name = str(contact.get("nickname") or "未知对象").strip()
tag = str(contact.get("tag") or default_tag).strip() or default_tag
return f"[{tag}] {name}"
def _build_news_text(self, meta: Mapping[str, Any], default_tag: str) -> str:
"""构造图文分享文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
default_tag: 默认标签文本。
Returns:
str: 图文分享文本。
"""
news = meta.get("news", {})
if not isinstance(news, Mapping):
return f"[{default_tag}]"
title = str(news.get("title") or "未知标题").strip()
desc = str(news.get("desc") or "").replace("[图片]", "").strip()
tag = str(news.get("tag") or default_tag).strip() or default_tag
if tag and title and tag in title:
title = self._trim_card_title(title.replace(tag, "", 1))
if desc:
return f"[{tag}] {title}{desc}"
return f"[{tag}] {title}".strip()
def _build_feed_text(self, meta: Mapping[str, Any]) -> str:
"""构造群相册分享文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: 群相册分享文本。
"""
feed = meta.get("feed", {})
if not isinstance(feed, Mapping):
return "[群相册]"
title = str(feed.get("title") or "群相册").strip()
tag = str(feed.get("tagName") or "群相册").strip() or "群相册"
desc = str(feed.get("forwardMessage") or "").strip()
if tag and title and tag in title:
title = self._trim_card_title(title.replace(tag, "", 1))
if desc:
return f"[{tag}] {title}{desc}"
return f"[{tag}] {title}".strip()
def _build_favorite_text(self, meta: Mapping[str, Any]) -> str:
"""构造 QQ 收藏分享文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: QQ 收藏分享文本。
"""
news = meta.get("news", {})
if not isinstance(news, Mapping):
return "[QQ收藏]"
desc = str(news.get("desc") or "").replace("[图片]", "").strip()
tag = str(news.get("tag") or "QQ收藏").strip() or "QQ收藏"
if desc:
return f"[{tag}] {desc}"
return f"[{tag}]"
def _build_simple_title_text(
self,
meta: Mapping[str, Any],
key: str,
default_tag: str,
) -> str:
"""构造简单标题类卡片文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
key: 子对象键名。
default_tag: 默认标签文本。
Returns:
str: 简单标题文本。
"""
nested_payload = meta.get(key, {})
if not isinstance(nested_payload, Mapping):
return f"[{default_tag}]"
title = str(nested_payload.get("title") or "未知标题").strip()
tag = str(nested_payload.get("tag") or default_tag).strip() or default_tag
return f"[{tag}] {title}".strip()
async def _build_forum_segments(self, meta: Mapping[str, Any]) -> NapCatSegments:
"""构造 QQ 频道帖子消息段。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
NapCatSegments: 频道帖子转换后的消息段列表。
"""
detail = meta.get("detail", {})
if not isinstance(detail, Mapping):
return []
feed = detail.get("feed", {})
poster = detail.get("poster", {})
channel_info = detail.get("channel_info", {})
if not isinstance(feed, Mapping) or not isinstance(poster, Mapping) or not isinstance(channel_info, Mapping):
return []
guild_name = str(channel_info.get("guild_name") or "").strip()
nick = str(poster.get("nick") or "QQ用户").strip() or "QQ用户"
title = self._extract_forum_title(feed)
face_content = self._extract_forum_face_text(feed)
text_prefix = "[频道帖子]"
if guild_name:
text_prefix = f"{text_prefix} [{guild_name}]"
text_content = f"{text_prefix}{nick}:{title}{face_content}"
segments: NapCatSegments = [self._build_text_segment(text_content)]
images = feed.get("images", [])
if not isinstance(images, list):
return segments
for image_item in images:
if not isinstance(image_item, Mapping):
continue
image_segment = await self._build_remote_image_segment(str(image_item.get("pic_url") or "").strip())
if image_segment is not None:
segments.append(image_segment)
return segments
def _extract_forum_title(self, feed: Mapping[str, Any]) -> str:
"""提取 QQ 频道帖子标题。
Args:
feed: 频道帖子 ``feed`` 数据。
Returns:
str: 帖子标题。
"""
title_payload = feed.get("title", {})
if not isinstance(title_payload, Mapping):
return "帖子"
contents = title_payload.get("contents", [])
if not isinstance(contents, list) or not contents:
return "帖子"
first_content = contents[0]
if not isinstance(first_content, Mapping):
return "帖子"
text_content = first_content.get("text_content", {})
if not isinstance(text_content, Mapping):
return "帖子"
return str(text_content.get("text") or "帖子").strip() or "帖子"
def _extract_forum_face_text(self, feed: Mapping[str, Any]) -> str:
"""提取 QQ 频道帖子中的表情文本。
Args:
feed: 频道帖子 ``feed`` 数据。
Returns:
str: 合并后的表情文本。
"""
contents_payload = feed.get("contents", {})
if not isinstance(contents_payload, Mapping):
return ""
contents = contents_payload.get("contents", [])
if not isinstance(contents, list):
return ""
face_text_parts: List[str] = []
for item in contents:
if not isinstance(item, Mapping):
continue
emoji_content = item.get("emoji_content", {})
if not isinstance(emoji_content, Mapping):
continue
emoji_id = str(emoji_content.get("id") or "").strip()
if emoji_id in QQ_FACE:
face_text_parts.append(QQ_FACE[emoji_id])
return "".join(face_text_parts)
def _build_location_text(self, meta: Mapping[str, Any]) -> str:
"""构造位置分享文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: 位置分享文本。
"""
location = meta.get("Location.Search", {})
if not isinstance(location, Mapping):
return "[位置]"
name = str(location.get("name") or "未知地点").strip()
address = str(location.get("address") or "").strip()
if address:
return f"[位置] {address} · {name}"
return f"[位置] {name}"
def _build_together_text(self, meta: Mapping[str, Any]) -> str:
"""构造“一起听歌”文本。
Args:
meta: JSON 卡片 ``meta`` 数据。
Returns:
str: 一起听歌文本。
"""
invite = meta.get("invite", {})
if not isinstance(invite, Mapping):
return "[一起听歌]"
title = str(invite.get("title") or "一起听歌").strip() or "一起听歌"
summary = str(invite.get("summary") or "").strip()
if summary:
return f"[{title}] {summary}"
return f"[{title}]"
def _extract_preview_url(
self,
meta: Mapping[str, Any],
key: str,
field_name: str = "preview",
) -> str:
"""从卡片元数据中提取预览图地址。
Args:
meta: JSON 卡片 ``meta`` 数据。
key: 子对象键名。
field_name: 预览图字段名。
Returns:
str: 预览图地址;不存在时返回空字符串。
"""
nested_payload = meta.get(key, {})
if not isinstance(nested_payload, Mapping):
return ""
return str(nested_payload.get(field_name) or "").strip()
@staticmethod
def _trim_card_title(title: str) -> str:
"""清理卡片标题两侧的常见分隔符。
Args:
title: 原始标题文本。
Returns:
str: 清理后的标题文本。
"""
return re.sub(r"^[:\s\-—]+|[:\s\-—]+$", "", str(title or "").strip())
@staticmethod
def _safe_base64_decode(encoded_text: str) -> str:
"""安全地解码 Base64 文本。
Args:
encoded_text: 待解码的 Base64 文本。
Returns:
str: 解码结果;失败时返回原始文本。
"""
normalized_text = str(encoded_text or "").strip()
if not normalized_text:
return ""
try:
import base64
return base64.b64decode(normalized_text).decode("utf-8", errors="ignore")
except Exception:
return normalized_text

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"""NapCat 入站消息编解码。"""
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional, Tuple
from uuid import uuid4
import hashlib
import time
from ...qq_emoji_list import QQ_FACE
from ...services import NapCatQueryService
from ...types import NapCatIncomingSegment, NapCatIncomingSegments, NapCatPayload, NapCatSegment, NapCatSegments
from ..notice.helpers import normalize_optional_string
from .cards import NapCatInboundCardMixin
from .text import NapCatInboundTextMixin
class NapCatInboundCodec(NapCatInboundCardMixin, NapCatInboundTextMixin):
"""NapCat 入站消息编码器。"""
def __init__(self, logger: Any, query_service: NapCatQueryService) -> None:
"""初始化入站消息编码器。
Args:
logger: 插件日志对象。
query_service: QQ 查询服务。
"""
self._logger = logger
self._query_service = query_service
async def build_message_dict(
self,
payload: NapCatPayload,
self_id: str,
sender_user_id: str,
sender: Mapping[str, Any],
) -> Dict[str, Any]:
"""构造 Host 侧可接受的 ``MessageDict``。
Args:
payload: NapCat 原始消息事件。
self_id: 当前机器人账号 ID。
sender_user_id: 发送者用户 ID。
sender: 发送者信息字典。
Returns:
Dict[str, Any]: 规范化后的 ``MessageDict``。
"""
message_type = str(payload.get("message_type") or "").strip() or "private"
group_id = str(payload.get("group_id") or "").strip()
group_name = str(payload.get("group_name") or "").strip() or (f"group_{group_id}" if group_id else "")
user_nickname = str(sender.get("nickname") or sender.get("card") or sender_user_id).strip() or sender_user_id
user_cardname = str(sender.get("card") or "").strip() or None
raw_message, is_at = await self.convert_segments(payload, self_id)
if not raw_message:
raw_message = [self._build_text_segment("[unsupported]")]
plain_text = self.build_plain_text(raw_message)
timestamp_seconds = payload.get("time")
if not isinstance(timestamp_seconds, (int, float)):
timestamp_seconds = time.time()
additional_config: Dict[str, Any] = {"self_id": self_id, "napcat_message_type": message_type}
if group_id:
additional_config["platform_io_target_group_id"] = group_id
else:
additional_config["platform_io_target_user_id"] = sender_user_id
message_info: Dict[str, Any] = {
"user_info": {
"user_id": sender_user_id,
"user_nickname": user_nickname,
"user_cardname": user_cardname,
},
"additional_config": additional_config,
}
if group_id:
message_info["group_info"] = {"group_id": group_id, "group_name": group_name}
message_id = str(payload.get("message_id") or f"napcat-{uuid4().hex}").strip()
return {
"message_id": message_id,
"timestamp": str(float(timestamp_seconds)),
"platform": "qq",
"message_info": message_info,
"raw_message": raw_message,
"is_mentioned": is_at,
"is_at": is_at,
"is_emoji": False,
"is_picture": False,
"is_command": plain_text.startswith("/"),
"is_notify": False,
"session_id": "",
"processed_plain_text": plain_text,
"display_message": plain_text,
}
async def convert_segments(self, payload: NapCatPayload, self_id: str) -> Tuple[NapCatSegments, bool]:
"""将 OneBot 消息段转换为 Host 消息段结构。
Args:
payload: OneBot 原始消息事件。
self_id: 当前机器人账号 ID。
Returns:
Tuple[NapCatSegments, bool]: 转换后的消息段列表,以及是否 @ 到当前机器人。
Raises:
ValueError: 当载荷缺少结构化 ``message`` 段列表时抛出。
"""
message_payload = self._require_message_segments(payload)
group_id = str(payload.get("group_id") or "").strip()
return await self._convert_incoming_segments(message_payload, self_id, group_id)
def _require_message_segments(self, payload: NapCatPayload) -> NapCatIncomingSegments:
"""从 NapCat 载荷中提取结构化消息段列表。
Args:
payload: NapCat / OneBot 原始载荷。
Returns:
NapCatIncomingSegments: 规范化后的结构化消息段列表。
Raises:
ValueError: 当 ``message`` 字段不是结构化段列表时抛出。
"""
message_payload = payload.get("message")
if not isinstance(message_payload, list):
raise ValueError("NapCat 入站消息缺少结构化 message 段列表")
normalized_segments = self._normalize_incoming_segments(message_payload)
if not normalized_segments:
raise ValueError("NapCat 入站消息未包含可识别的结构化消息段")
return normalized_segments
def _normalize_incoming_segments(self, message_payload: List[Any]) -> NapCatIncomingSegments:
"""规范化 NapCat / OneBot 原始消息段列表。
Args:
message_payload: 原始 ``message`` 字段值。
Returns:
NapCatIncomingSegments: 过滤并标准化后的消息段列表。
"""
normalized_segments: NapCatIncomingSegments = []
for segment in message_payload:
if not isinstance(segment, Mapping):
continue
segment_type = str(segment.get("type") or "").strip()
segment_data = segment.get("data", {})
if not segment_type or not isinstance(segment_data, Mapping):
continue
normalized_segments.append(
NapCatIncomingSegment(
type=segment_type,
data=dict(segment_data),
)
)
return normalized_segments
async def _convert_incoming_segments(
self,
message_payload: NapCatIncomingSegments,
self_id: str,
group_id: str,
) -> Tuple[NapCatSegments, bool]:
"""将结构化 OneBot 消息段转换为 Host 消息段结构。
Args:
message_payload: NapCat / OneBot 结构化消息段列表。
self_id: 当前机器人账号 ID。
group_id: 当前消息所在群号;私聊消息为空字符串。
Returns:
Tuple[NapCatSegments, bool]: 转换后的消息段列表,以及是否 @ 到当前机器人。
"""
converted_segments: NapCatSegments = []
at_target_cache: Dict[str, Tuple[Optional[str], Optional[str]]] = {}
is_at = False
for segment in message_payload:
segment_type = str(segment.get("type") or "").strip()
segment_data = segment.get("data", {})
if not isinstance(segment_data, Mapping):
segment_data = {}
if segment_type == "text":
if text_value := str(segment_data.get("text") or ""):
converted_segments.append(self._build_text_segment(text_value))
continue
if segment_type == "at":
if target_user_id := str(segment_data.get("qq") or "").strip():
if target_user_id in at_target_cache:
target_user_nickname, target_user_cardname = at_target_cache[target_user_id]
else:
target_user_nickname, target_user_cardname = await self._resolve_at_target_info(
group_id=group_id,
target_user_id=target_user_id,
)
at_target_cache[target_user_id] = (target_user_nickname, target_user_cardname)
converted_segments.append(
{
"type": "at",
"data": {
"target_user_id": target_user_id,
"target_user_nickname": target_user_nickname,
"target_user_cardname": target_user_cardname,
},
}
)
if self_id and target_user_id == self_id:
is_at = True
continue
if segment_type == "reply":
if reply_segment := await self._build_reply_segment(segment_data):
converted_segments.append(reply_segment)
continue
if segment_type == "face":
converted_segments.append(self._build_face_text_segment(segment_data))
continue
if segment_type == "image":
converted_segments.append(await self._build_image_like_segment(segment_data, is_emoji=False))
continue
if segment_type == "record":
converted_segments.append(await self._build_record_segment(segment_data))
continue
if segment_type == "video":
converted_segments.append(self._build_video_text_segment(segment_data))
continue
if segment_type == "file":
converted_segments.append(self._build_file_text_segment(segment_data))
continue
if segment_type == "json":
converted_segments.extend(await self._build_json_segments(segment_data))
continue
if segment_type == "forward":
if forward_segment := await self._build_forward_segment(segment_data):
converted_segments.append(forward_segment)
continue
if segment_type in {"xml", "share"}:
converted_segments.append(self._build_text_segment(f"[{segment_type}]"))
return converted_segments, is_at
async def _resolve_at_target_info(
self,
group_id: str,
target_user_id: str,
) -> Tuple[Optional[str], Optional[str]]:
"""解析 ``at`` 目标的展示信息。
Args:
group_id: 当前消息所在群号;私聊消息为空字符串。
target_user_id: 被 ``at`` 的用户号。
Returns:
Tuple[Optional[str], Optional[str]]: 依次返回 QQ 昵称和群昵称。
"""
if not target_user_id or target_user_id == "all":
return None, None
target_user_nickname: Optional[str] = None
target_user_cardname: Optional[str] = None
if group_id:
member_info = await self._query_service.get_group_member_info(group_id, target_user_id, no_cache=True)
if member_info is not None:
target_user_nickname = normalize_optional_string(member_info.get("nickname"))
target_user_cardname = normalize_optional_string(member_info.get("card"))
if target_user_nickname or target_user_cardname:
return target_user_nickname, target_user_cardname
stranger_info = await self._query_service.get_stranger_info(target_user_id)
if stranger_info is None:
return None, None
return normalize_optional_string(stranger_info.get("nickname")), target_user_cardname
@staticmethod
def _build_text_segment(text: str) -> NapCatSegment:
"""构造一条纯文本 Host 消息段。
Args:
text: 文本内容。
Returns:
NapCatSegment: Host 侧纯文本消息段。
"""
return {"type": "text", "data": text}
async def _build_reply_segment(self, segment_data: Mapping[str, Any]) -> Optional[NapCatSegment]:
"""构造回复消息段。
Args:
segment_data: OneBot ``reply`` 段的 ``data`` 字典。
Returns:
Optional[NapCatSegment]: 转换后的回复消息段;缺少消息 ID 时返回 ``None``。
"""
target_message_id = str(segment_data.get("id") or "").strip()
if not target_message_id:
return None
message_detail = await self._query_service.get_message_detail(target_message_id)
reply_payload: Dict[str, Any] = {"target_message_id": target_message_id}
if message_detail is not None:
sender = message_detail.get("sender", {})
if not isinstance(sender, Mapping):
sender = {}
reply_payload["target_message_content"] = await self._build_reply_preview_text(message_detail)
reply_payload["target_message_sender_id"] = (
str(message_detail.get("user_id") or sender.get("user_id") or "").strip() or None
)
reply_payload["target_message_sender_nickname"] = str(sender.get("nickname") or "").strip() or None
reply_payload["target_message_sender_cardname"] = str(sender.get("card") or "").strip() or None
return {"type": "reply", "data": reply_payload}
async def _build_reply_preview_text(self, message_detail: NapCatPayload) -> Optional[str]:
"""为回复引用构造结构化消息预览文本。
Args:
message_detail: ``get_msg`` 返回的消息详情。
Returns:
Optional[str]: 基于结构化消息段生成的预览文本;无法生成时返回 ``None``。
"""
try:
reply_segments, _ = await self.convert_segments(message_detail, "")
except ValueError:
return None
if not reply_segments:
return None
return self.build_plain_text(reply_segments)
async def _build_image_like_segment(
self,
segment_data: Mapping[str, Any],
is_emoji: bool,
) -> NapCatSegment:
"""构造图片或表情消息段。
Args:
segment_data: OneBot ``image`` 段的 ``data`` 字典。
is_emoji: 是否按表情组件处理。
Returns:
NapCatSegment: 转换后的图片或表情消息段。
"""
subtype = self._normalize_numeric_segment_value(segment_data.get("sub_type"))
actual_is_emoji = is_emoji or (subtype is not None and subtype not in {0, 4, 9})
image_url = str(segment_data.get("url") or "").strip()
binary_data = await self._query_service.download_binary(image_url)
if not binary_data:
return self._build_text_segment("[emoji]" if actual_is_emoji else "[image]")
return {
"type": "emoji" if actual_is_emoji else "image",
"data": "",
"hash": hashlib.sha256(binary_data).hexdigest(),
"binary_data_base64": self._encode_binary(binary_data),
}
async def _build_record_segment(self, segment_data: Mapping[str, Any]) -> NapCatSegment:
"""构造语音消息段。
Args:
segment_data: OneBot ``record`` 段的 ``data`` 字典。
Returns:
NapCatSegment: 转换后的语音或占位文本消息段。
"""
file_name = str(segment_data.get("file") or "").strip()
file_id = str(segment_data.get("file_id") or "").strip() or None
if not file_name:
return self._build_text_segment("[voice]")
record_detail = await self._query_service.get_record_detail(file_name=file_name, file_id=file_id)
if record_detail is None:
return self._build_text_segment("[voice]")
record_base64 = str(record_detail.get("base64") or "").strip()
if not record_base64:
return self._build_text_segment("[voice]")
try:
binary_data = self._decode_binary(record_base64)
except Exception:
return self._build_text_segment("[voice]")
return {
"type": "voice",
"data": "",
"hash": hashlib.sha256(binary_data).hexdigest(),
"binary_data_base64": self._encode_binary(binary_data),
}
def _build_face_text_segment(self, segment_data: Mapping[str, Any]) -> NapCatSegment:
"""构造 QQ 原生表情文本段。
Args:
segment_data: OneBot ``face`` 段的 ``data`` 字典。
Returns:
NapCatSegment: 转换后的文本消息段。
"""
face_id = str(segment_data.get("id") or "").strip()
face_text = QQ_FACE.get(face_id, "[表情]")
return self._build_text_segment(face_text)
def _build_video_text_segment(self, segment_data: Mapping[str, Any]) -> NapCatSegment:
"""构造视频消息的可读文本段。
Args:
segment_data: OneBot ``video`` 段的 ``data`` 字典。
Returns:
NapCatSegment: 转换后的文本消息段。
"""
file_name = str(segment_data.get("file") or "").strip()
file_size = str(segment_data.get("file_size") or "").strip()
parts: List[str] = []
if file_name:
parts.append(f"文件: {file_name}")
if file_size:
parts.append(f"大小: {file_size}")
if parts:
return self._build_text_segment(f"[视频] {''.join(parts)}")
return self._build_text_segment("[视频]")
def _build_file_text_segment(self, segment_data: Mapping[str, Any]) -> NapCatSegment:
"""构造文件消息的可读文本段。
Args:
segment_data: OneBot ``file`` 段的 ``data`` 字典。
Returns:
NapCatSegment: 转换后的文本消息段。
"""
file_name = str(segment_data.get("file") or segment_data.get("name") or "").strip()
file_size = str(segment_data.get("file_size") or "").strip()
file_url = str(segment_data.get("url") or "").strip()
text_parts: List[str] = []
if file_name:
text_parts.append(file_name)
if file_size:
text_parts.append(f"大小: {file_size}")
file_text = "[文件]"
if text_parts:
file_text = f"[文件] {''.join(text_parts)}"
if file_url:
file_text = f"{file_text},链接: {file_url}"
return self._build_text_segment(file_text)
async def _build_forward_segment(self, segment_data: Mapping[str, Any]) -> Optional[NapCatSegment]:
"""构造合并转发消息段。
Args:
segment_data: OneBot ``forward`` 段的 ``data`` 字典。
Returns:
Optional[NapCatSegment]: 转换后的合并转发消息段;失败时返回 ``None``。
"""
inline_messages = self._extract_forward_messages(segment_data)
messages = inline_messages
if messages is None:
message_id = str(segment_data.get("id") or "").strip()
if not message_id:
return None
forward_detail = await self._query_service.get_forward_message(message_id)
if forward_detail is None:
return self._build_text_segment("[forward]")
messages = self._extract_forward_messages(forward_detail)
if not isinstance(messages, list):
return self._build_text_segment("[forward]")
forward_nodes = await self._build_forward_nodes(messages)
if not forward_nodes:
return self._build_text_segment("[forward]")
return {"type": "forward", "data": forward_nodes}
def _extract_forward_messages(self, payload: Mapping[str, Any]) -> Optional[List[Any]]:
"""从转发载荷中提取节点列表。
Args:
payload: 转发段 ``data`` 或 ``get_forward_msg`` 返回的载荷。
Returns:
Optional[List[Any]]: 提取到的节点列表;当载荷中不存在节点列表时返回 ``None``。
"""
direct_messages = payload.get("messages")
if isinstance(direct_messages, list):
return direct_messages
direct_content = payload.get("content")
if isinstance(direct_content, list):
return direct_content
nested_data = payload.get("data")
if isinstance(nested_data, Mapping):
nested_messages = nested_data.get("messages")
if isinstance(nested_messages, list):
return nested_messages
nested_content = nested_data.get("content")
if isinstance(nested_content, list):
return nested_content
return None
async def _build_forward_nodes(self, messages: List[Any]) -> List[Dict[str, Any]]:
"""将 NapCat 转发节点列表转换为 Host 转发节点列表。
Args:
messages: NapCat 返回的转发节点列表。
Returns:
List[Dict[str, Any]]: Host 侧可识别的转发节点列表。
"""
forward_nodes: List[Dict[str, Any]] = []
for forward_message in messages:
if not isinstance(forward_message, Mapping):
continue
raw_content = self._extract_forward_node_content(forward_message)
content_segments = await self._convert_forward_content(raw_content, "")
sender = self._extract_forward_node_sender(forward_message)
node_data = forward_message.get("data", {})
if not isinstance(node_data, Mapping):
node_data = {}
forward_nodes.append(
{
"user_id": str(
sender.get("user_id")
or sender.get("uin")
or node_data.get("user_id")
or node_data.get("uin")
or ""
).strip()
or None,
"user_nickname": str(
sender.get("nickname")
or sender.get("name")
or node_data.get("nickname")
or node_data.get("name")
or "未知用户"
),
"user_cardname": str(sender.get("card") or node_data.get("card") or "").strip() or None,
"message_id": str(
forward_message.get("message_id")
or forward_message.get("id")
or node_data.get("id")
or uuid4().hex
),
"content": content_segments or [self._build_text_segment("[empty]")],
}
)
return forward_nodes
def _extract_forward_node_content(self, forward_message: Mapping[str, Any]) -> Any:
"""提取单个转发节点中的消息段列表。
Args:
forward_message: NapCat 返回的单个转发节点。
Returns:
Any: 原始消息段列表;不存在时返回空列表。
"""
direct_content = forward_message.get("content")
if isinstance(direct_content, list):
return direct_content
direct_message = forward_message.get("message")
if isinstance(direct_message, list):
return direct_message
node_data = forward_message.get("data", {})
if not isinstance(node_data, Mapping):
return []
nested_content = node_data.get("content")
if isinstance(nested_content, list):
return nested_content
nested_message = node_data.get("message")
if isinstance(nested_message, list):
return nested_message
return []
def _extract_forward_node_sender(self, forward_message: Mapping[str, Any]) -> Mapping[str, Any]:
"""提取单个转发节点的发送者信息。
Args:
forward_message: NapCat 返回的单个转发节点。
Returns:
Mapping[str, Any]: 归一化后的发送者信息映射。
"""
sender = forward_message.get("sender", {})
if isinstance(sender, Mapping):
return sender
node_data = forward_message.get("data", {})
if not isinstance(node_data, Mapping):
return {}
normalized_sender: Dict[str, Any] = {}
user_id = str(node_data.get("user_id") or node_data.get("uin") or "").strip()
nickname = str(node_data.get("nickname") or node_data.get("name") or "").strip()
cardname = str(node_data.get("card") or "").strip()
if user_id:
normalized_sender["user_id"] = user_id
normalized_sender["uin"] = user_id
if nickname:
normalized_sender["nickname"] = nickname
normalized_sender["name"] = nickname
if cardname:
normalized_sender["card"] = cardname
return normalized_sender
async def _convert_forward_content(self, raw_content: Any, self_id: str) -> NapCatSegments:
"""转换转发节点内部的消息段列表。
Args:
raw_content: 转发节点原始内容。
self_id: 当前机器人账号 ID。
Returns:
NapCatSegments: 转换后的消息段列表。
"""
if not isinstance(raw_content, list):
return []
normalized_segments = self._normalize_incoming_segments(raw_content)
if not normalized_segments:
return []
segments, _ = await self._convert_incoming_segments(normalized_segments, self_id, "")
return segments

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@@ -0,0 +1,90 @@
"""NapCat 入站纯文本与二进制辅助。"""
from __future__ import annotations
from typing import Any, Mapping
import base64
from ...types import NapCatSegments
class NapCatInboundTextMixin:
"""封装入站纯文本与二进制辅助逻辑。"""
def build_plain_text(self, raw_message: NapCatSegments) -> str:
"""从标准消息段中提取可展示的纯文本。
Args:
raw_message: 标准化后的消息段列表。
Returns:
str: 用于 Host 展示和命令判断的纯文本内容。
"""
plain_text_parts: list[str] = []
for item in raw_message:
if not isinstance(item, Mapping):
continue
item_type = str(item.get("type") or "").strip()
item_data = item.get("data")
if item_type == "text":
plain_text_parts.append(str(item_data or ""))
elif item_type == "at" and isinstance(item_data, Mapping):
at_target_name = str(
item_data.get("target_user_cardname")
or item_data.get("target_user_nickname")
or item_data.get("target_user_id")
or ""
).strip()
if at_target_name:
plain_text_parts.append(f"@{at_target_name}")
elif item_type == "reply":
plain_text_parts.append("[reply]")
elif item_type == "forward":
plain_text_parts.append("[forward]")
elif item_type in {"image", "emoji", "voice"}:
plain_text_parts.append(f"[{item_type}]")
plain_text = "".join(part for part in plain_text_parts if part).strip()
return plain_text or "[unsupported]"
@staticmethod
def _encode_binary(binary_data: bytes) -> str:
"""将二进制内容编码为 Base64 字符串。
Args:
binary_data: 待编码的二进制内容。
Returns:
str: Base64 编码字符串。
"""
return base64.b64encode(binary_data).decode("utf-8")
@staticmethod
def _decode_binary(binary_base64: str) -> bytes:
"""将 Base64 字符串解码为二进制内容。
Args:
binary_base64: Base64 字符串。
Returns:
bytes: 解码后的二进制内容。
"""
return base64.b64decode(binary_base64)
@staticmethod
def _normalize_numeric_segment_value(value: Any) -> Any:
"""将可安全识别的数字字符串转为整数。
Args:
value: 原始字段值。
Returns:
Any: 规范化后的字段值。
"""
if isinstance(value, str):
stripped_value = value.strip()
if stripped_value.isdigit():
return int(stripped_value)
return stripped_value
return value