fix:图片存储问题

This commit is contained in:
SengokuCola
2026-04-09 14:32:05 +08:00
parent ad720f42bc
commit 4395e3aad7
5 changed files with 98 additions and 353 deletions

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@@ -42,4 +42,7 @@
如果你需要改动配置文件不需要修改实际的bot_config.toml或者model_config.toml只需要修改配置文件模版并新增一个版本号即可也不必要为配置改动创建测试文件。
# 关于webui修改
不要修改dashboard下的内容因为这部分内容由另一个仓库build
不要修改dashboard下的内容因为这部分内容由另一个仓库build
# maibot插件开发文档
https://github.com/Mai-with-u/maibot-plugin-sdk/blob/main/docs/guide.md

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@@ -1,44 +0,0 @@
{
"manifest_version": 2,
"version": "2.0.0",
"name": "BetterEmoji",
"description": "更好的表情包管理插件",
"author": {
"name": "SengokuCola",
"url": "https://github.com/SengokuCola"
},
"license": "GPL-v3.0-or-later",
"urls": {
"repository": "https://github.com/SengokuCola/BetterEmoji",
"homepage": "https://github.com/SengokuCola/BetterEmoji",
"documentation": "https://github.com/SengokuCola/BetterEmoji",
"issues": "https://github.com/SengokuCola/BetterEmoji/issues"
},
"host_application": {
"min_version": "1.0.0",
"max_version": "1.0.0"
},
"sdk": {
"min_version": "2.0.0",
"max_version": "2.99.99"
},
"dependencies": [],
"capabilities": [
"emoji.get_random",
"emoji.get_count",
"emoji.get_info",
"emoji.get_all",
"emoji.register_emoji",
"emoji.delete_emoji",
"send.text",
"send.forward"
],
"i18n": {
"default_locale": "zh-CN",
"locales_path": "_locales",
"supported_locales": [
"zh-CN"
]
},
"id": "sengokucola.betteremoji"
}

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@@ -1,238 +0,0 @@
"""表情包管理插件 — 新 SDK 版本
通过 /emoji 命令管理表情包的添加、列表和删除。
"""
from maibot_sdk import Command, MaiBotPlugin
import base64
import datetime
import hashlib
import re
class EmojiManagePlugin(MaiBotPlugin):
"""表情包管理插件"""
async def on_load(self) -> None:
"""处理插件加载。"""
async def on_unload(self) -> None:
"""处理插件卸载。"""
# ===== 工具方法 =====
@staticmethod
def _extract_emoji_base64(segments) -> list[str]:
"""从消息 segments 中提取 emoji/image 的 base64 数据。
segments 可以是 dict 列表或 Seg 对象列表(兼容两种格式)。
"""
results: list[str] = []
if not segments:
return results
if isinstance(segments, dict):
seg_type = segments.get("type", "")
if seg_type in ("emoji", "image"):
data = segments.get("data", "")
if data:
results.append(data)
elif seg_type == "seglist":
for child in segments.get("data", []):
results.extend(EmojiManagePlugin._extract_emoji_base64(child))
return results
# 如果有 .type 属性Seg 对象)
if hasattr(segments, "type"):
seg_type = getattr(segments, "type", "")
if seg_type in ("emoji", "image"):
results.append(getattr(segments, "data", ""))
elif seg_type == "seglist":
for child in getattr(segments, "data", []):
results.extend(EmojiManagePlugin._extract_emoji_base64(child))
return results
# 列表
for seg in segments:
results.extend(EmojiManagePlugin._extract_emoji_base64(seg))
return results
# ===== Command 组件 =====
@Command("add_emoji", description="添加表情包", pattern=r".*/emoji add.*")
async def handle_add_emoji(self, stream_id: str = "", message_segments=None, **kwargs):
"""添加表情包"""
emoji_base64_list = self._extract_emoji_base64(message_segments)
if not emoji_base64_list:
await self.ctx.send.text("未在消息中找到表情包或图片", stream_id)
return False, "未在消息中找到表情包或图片", False
success_count = 0
fail_count = 0
results = []
for i, emoji_b64 in enumerate(emoji_base64_list):
result = await self.ctx.emoji.register_emoji(emoji_b64)
if isinstance(result, dict) and result.get("success"):
success_count += 1
desc = result.get("description", "未知描述")
emotions = result.get("emotions", [])
replaced = result.get("replaced", False)
msg = f"表情包 {i + 1} 注册成功{'(替换旧表情包)' if replaced else '(新增表情包)'}"
if desc:
msg += f"\n描述: {desc}"
if emotions:
msg += f"\n情感标签: {', '.join(emotions)}"
results.append(msg)
else:
fail_count += 1
err = result.get("message", "注册失败") if isinstance(result, dict) else "注册失败"
results.append(f"表情包 {i + 1} 注册失败: {err}")
total = success_count + fail_count
summary = f"表情包注册完成: 成功 {success_count} 个,失败 {fail_count} 个,共处理 {total}"
if results:
summary += "\n" + "\n".join(results)
await self.ctx.send.text(summary, stream_id)
return success_count > 0, summary, success_count > 0
@Command("emoji_list", description="列表表情包", pattern=r"^/emoji list(\s+\d+)?$")
async def handle_list_emoji(self, stream_id: str = "", raw_message: str = "", **kwargs):
"""列出表情包"""
max_count = 10
match = re.match(r"^/emoji list(?:\s+(\d+))?$", raw_message)
if match and match.group(1):
max_count = min(int(match.group(1)), 50)
now = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
count_result = await self.ctx.emoji.get_count()
emoji_count = count_result if isinstance(count_result, int) else 0
info_result = await self.ctx.emoji.get_info()
max_emoji = info_result.get("max_count", 0) if isinstance(info_result, dict) else 0
available = info_result.get("available_emojis", 0) if isinstance(info_result, dict) else 0
lines = [
f"📊 表情包统计信息 ({now})",
f"• 总数: {emoji_count} / {max_emoji}",
f"• 可用: {available}",
]
if emoji_count == 0:
lines.append("\n❌ 暂无表情包")
await self.ctx.send.text("\n".join(lines), stream_id)
return True, "\n".join(lines), True
all_result = await self.ctx.emoji.get_all()
all_emojis = all_result if isinstance(all_result, list) else []
if not all_emojis:
lines.append("\n❌ 无法获取表情包列表")
await self.ctx.send.text("\n".join(lines), stream_id)
return False, "\n".join(lines), True
display = all_emojis[:max_count]
lines.append(f"\n📋 显示前 {len(display)} 个表情包:")
for i, emoji in enumerate(display, 1):
if isinstance(emoji, (list, tuple)) and len(emoji) >= 3:
_, desc, emotion = emoji[0], emoji[1], emoji[2]
elif isinstance(emoji, dict):
desc = emoji.get("description", "")
emotion = emoji.get("emotion", "")
else:
desc, emotion = str(emoji), ""
short_desc = desc[:50] + "..." if len(desc) > 50 else desc
lines.append(f"{i}. {short_desc} [{emotion}]")
if len(all_emojis) > max_count:
lines.append(f"\n💡 还有 {len(all_emojis) - max_count} 个表情包未显示")
final = "\n".join(lines)
await self.ctx.send.text(final, stream_id)
return True, final, True
@Command("delete_emoji", description="删除表情包", pattern=r".*/emoji delete.*")
async def handle_delete_emoji(self, stream_id: str = "", message_segments=None, **kwargs):
"""删除表情包"""
emoji_base64_list = self._extract_emoji_base64(message_segments)
if not emoji_base64_list:
await self.ctx.send.text("未在消息中找到表情包或图片", stream_id)
return False, "未找到表情包", False
success_count = 0
fail_count = 0
results = []
for i, emoji_b64 in enumerate(emoji_base64_list):
# 计算哈希
if isinstance(emoji_b64, str):
clean = emoji_b64.encode("ascii", errors="ignore").decode("ascii")
else:
clean = str(emoji_b64)
image_bytes = base64.b64decode(clean)
emoji_hash = hashlib.md5(image_bytes).hexdigest() # noqa: S324
result = await self.ctx.emoji.delete_emoji(emoji_hash)
if isinstance(result, dict) and result.get("success"):
success_count += 1
desc = result.get("description", "未知描述")
emotions = result.get("emotions", [])
before = result.get("count_before", 0)
after = result.get("count_after", 0)
msg = f"表情包 {i + 1} 删除成功"
if desc:
msg += f"\n描述: {desc}"
if emotions:
msg += f"\n情感标签: {', '.join(emotions)}"
msg += f"\n表情包数量: {before}{after}"
results.append(msg)
else:
fail_count += 1
err = result.get("message", "删除失败") if isinstance(result, dict) else "删除失败"
results.append(f"表情包 {i + 1} 删除失败: {err}")
total = success_count + fail_count
summary = f"表情包删除完成: 成功 {success_count} 个,失败 {fail_count} 个,共处理 {total}"
if results:
summary += "\n" + "\n".join(results)
await self.ctx.send.text(summary, stream_id)
return success_count > 0, summary, success_count > 0
@Command("random_emojis", description="发送多张随机表情包", pattern=r"^/random_emojis$")
async def handle_random_emojis(self, stream_id: str = "", **kwargs):
"""发送多张随机表情包"""
emojis = await self.ctx.emoji.get_random(5)
if not emojis:
return False, "未找到表情包", False
messages = [
{"user_id": "0", "nickname": "神秘用户", "segments": [{"type": "image", "content": e.get("base64", "")}]}
for e in emojis
]
await self.ctx.send.forward(messages, stream_id)
return True, "已发送随机表情包", True
async def on_config_update(self, scope: str, config_data: dict[str, object], version: str) -> None:
"""处理配置热重载事件。
Args:
scope: 配置变更范围。
config_data: 最新配置数据。
version: 配置版本号。
"""
del scope
del config_data
del version
def create_plugin() -> EmojiManagePlugin:
"""创建表情包管理插件实例。
Returns:
EmojiManagePlugin: 新的表情包管理插件实例。
"""
return EmojiManagePlugin()

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@@ -31,6 +31,23 @@ async def test_calculate_hash_format_updates_runtime_path_metadata(tmp_path: Pat
assert emoji.dir_path == tmp_path.resolve()
@pytest.mark.asyncio
async def test_calculate_hash_format_reuses_existing_target_file(tmp_path: Path) -> None:
image_bytes = _build_test_image_bytes("JPEG")
tmp_file_path = tmp_path / "emoji.tmp"
target_file_path = tmp_path / "emoji.jpeg"
tmp_file_path.write_bytes(image_bytes)
target_file_path.write_bytes(image_bytes)
emoji = MaiEmoji(full_path=tmp_file_path, image_bytes=image_bytes)
assert await emoji.calculate_hash_format() is True
assert emoji.full_path == target_file_path.resolve()
assert emoji.file_name == target_file_path.name
assert not tmp_file_path.exists()
assert target_file_path.exists()
@pytest.mark.parametrize(
("model_cls", "extra_fields"),
[

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@@ -24,125 +24,148 @@ logger = get_logger("emoji")
class BaseImageDataModel(BaseDatabaseDataModel[Images]):
def __init__(self, full_path: str | Path, image_bytes: Optional[bytes] = None):
if not full_path:
# 创建时候即检测文件路径合法性
raise ValueError("表情包路径不能为空")
raise ValueError("图片路径不能为空")
if Path(full_path).is_dir() or not Path(full_path).exists():
raise FileNotFoundError(f"表情包路径无效: {full_path}")
raise FileNotFoundError(f"图片路径无效: {full_path}")
resolved_path = Path(full_path).absolute().resolve()
self.full_path: Path
self.dir_path: Path
self.file_name: str
self._set_full_path(resolved_path)
self.file_hash: str = None # type: ignore
self.image_bytes: Optional[bytes] = image_bytes
self.image_format: str = "" # 图片格式
self.image_format: str = ""
def _set_full_path(self, full_path: Path) -> None:
"""同步更新文件路径相关的运行时元数据。"""
"""同步刷新路径、目录和文件名等运行时元数据。"""
resolved_path = full_path.absolute().resolve()
self.full_path = resolved_path
self.dir_path = resolved_path.parent.resolve()
self.file_name = resolved_path.name
def _restore_image_format_from_path(self) -> None:
"""根据文件扩展名恢复基础图片格式信息。"""
"""根据文件扩展名恢复图片格式信息。"""
self.image_format = self.full_path.suffix.removeprefix(".").lower()
def _build_non_conflicting_path(self, target_path: Path) -> Path:
"""在目标路径被占用时,生成一个可用的新路径。"""
candidate_path = target_path
index = 1
while candidate_path.exists():
candidate_path = target_path.with_name(
f"{target_path.stem}_{self.file_hash[:8]}_{index}{target_path.suffix}"
)
index += 1
return candidate_path
def _rename_file_to_match_format(self) -> None:
"""修正文件扩展名,并处理目标文件已存在的冲突。"""
new_file_name = ".".join(self.file_name.split(".")[:-1] + [self.image_format])
new_full_path = self.dir_path / new_file_name
if new_full_path == self.full_path:
return
if new_full_path.exists():
existing_file_hash = hashlib.sha256(self.read_image_bytes(new_full_path)).hexdigest()
if existing_file_hash == self.file_hash:
logger.info(f"[初始化] {new_full_path.name} 已存在且内容一致,复用已有文件")
self.full_path.unlink()
self._set_full_path(new_full_path)
return
conflict_free_path = self._build_non_conflicting_path(new_full_path)
logger.warning(
f"[初始化] {new_full_path.name} 已存在且内容不同,改为保存到 {conflict_free_path.name}"
)
self.full_path.rename(conflict_free_path)
self._set_full_path(conflict_free_path)
return
self.full_path.rename(new_full_path)
self._set_full_path(new_full_path)
def read_image_bytes(self, path: Path) -> bytes:
"""
同步读取图片文件的字节内容
同步读取图片文件的字节内容
Args:
path (Path): 图片文件的完整路径
path: 图片文件的完整路径
Returns:
return (bytes): 图片文件的字节内容
Raises:
FileNotFoundError: 如果文件不存在则抛出该异常
Exception: 其他读取文件时发生的异常
图片文件的字节内容
"""
try:
with open(path, "rb") as f:
return f.read()
except FileNotFoundError as e:
with open(path, "rb") as file:
return file.read()
except FileNotFoundError as exc:
logger.error(f"[读取图片文件] 文件未找到: {path}")
raise e
except Exception as e:
logger.error(f"[读取图片文件] 读取文件时发生错误: {e}")
raise e
raise exc
except Exception as exc:
logger.error(f"[读取图片文件] 读取文件时发生错误: {exc}")
raise exc
def get_image_format(self, image_bytes: bytes) -> str:
"""
获取图片的格式
获取图片的实际格式
Args:
image_bytes (bytes): 图片的字节内容
image_bytes: 图片的字节内容
Returns:
return (str): 图片的格式(小写)
Raises:
ValueError: 如果无法识别图片格式
Exception: 其他读取图片格式时发生的异常
小写格式名,例如 `png`、`jpeg`。
"""
try:
with PILImage.open(io.BytesIO(image_bytes)) as img:
if not img.format:
raise ValueError("无法识别图片格式")
return img.format.lower()
except Exception as e:
logger.error(f"[获取图片格式] 读取图片格式时发生错误: {e}")
raise e
except Exception as exc:
logger.error(f"[获取图片格式] 读取图片格式时发生错误: {exc}")
raise exc
async def calculate_hash_format(self) -> bool:
"""
异步计算表情包的哈希值和格式,初始化后应该执行此方法来确保对象的哈希值和格式正确
计算图片哈希和实际格式,并在需要时修正扩展名。
Returns:
return (bool): 如果成功计算哈希值和格式则返回True否则返回False
成功返回 `True`,失败返回 `False`。
"""
try:
# 计算哈希值
logger.debug(f"[初始化] 计算 {self.file_name} 的哈希值...")
if not self.image_bytes:
if self.image_bytes is None:
logger.debug(f"[初始化] 正在读取文件: {self.full_path}")
image_bytes = await asyncio.to_thread(self.read_image_bytes, self.full_path)
else:
image_bytes = self.image_bytes
self.image_bytes = image_bytes
self.file_hash = hashlib.sha256(image_bytes).hexdigest()
logger.debug(f"[初始化] {self.file_name} 计算哈希值成功: {self.file_hash}")
# 用PIL读取图片格式
logger.debug(f"[初始化] 读取 {self.file_name} 的图片格式...")
self.image_format = await asyncio.to_thread(self.get_image_format, image_bytes)
logger.debug(f"[初始化] {self.file_name} 读取图片格式成功: {self.image_format}")
# 比对文件扩展名和实际格式
file_ext = self.file_name.split(".")[-1].lower()
if file_ext != self.image_format:
logger.warning(
f"[初始化] {self.file_name} 文件扩展名与实际格式不符: ext`{file_ext}`!=`{self.image_format}`"
)
# 重命名文件以匹配实际格式
new_file_name = ".".join(self.file_name.split(".")[:-1] + [self.image_format])
new_full_path = self.dir_path / new_file_name
self.full_path.rename(new_full_path)
self._set_full_path(new_full_path)
self._rename_file_to_match_format()
return True
except Exception as e:
logger.error(f"[初始化] 初始化图片时发生错误: {e}")
except Exception as exc:
logger.error(f"[初始化] 初始化图片时发生错误: {exc}")
logger.error(traceback.format_exc())
return False
class MaiEmoji(BaseImageDataModel):
"""麦麦的表情包对象,仅当**图片文件存在**时才应该创建此对象,数据库记录如果标记为文件不存在`(no_file_flag = True)`则不应该调用 `from_db_instance` 方法来创建此对象"""
"""表情包数据模型。"""
def __init__(self, full_path: str | Path, image_bytes: Optional[bytes] = None):
# self.embedding = []
self.description: str = ""
self.emotion: List[str] = []
self.query_count = 0
@@ -152,33 +175,26 @@ class MaiEmoji(BaseImageDataModel):
@classmethod
def from_db_instance(cls, db_record: Images):
"""从数据库记录建 MaiEmoji 对象,如果记录标记为文件不存在则**抛出异常**
调用者应该对数据库记录进行检查,如果 `no_file_flag` 为 True 则不应该调用此方法
Args:
db_record (Images): 数据库中的图片记录
Returns:
return (MaiEmoji): 包含图片信息的 MaiEmoji 对象
Raises:
ValueError: 如果数据库记录标记为文件不存在则抛出该异常
"""
"""从数据库记录`MaiEmoji` 对象"""
if db_record.no_file_flag:
raise ValueError(f"数据库记录 {db_record.image_hash} 标记为文件不存在,无法创建 MaiEmoji 对象")
obj = cls(db_record.full_path)
obj.file_hash = db_record.image_hash
obj._restore_image_format_from_path()
description = db_record.description or ""
obj.description = description
normalized_tags = [
str(item).strip()
for item in str(description).replace("", ",").replace("", ",").replace("", ",").split(",")
for item in str(description).replace("", ",").replace("", ",").replace("", ",").split(",")
if str(item).strip()
]
deduped_tags: List[str] = []
for item in normalized_tags:
if item not in deduped_tags:
deduped_tags.append(item)
obj.emotion = deduped_tags
obj.query_count = db_record.query_count
obj.last_used_time = db_record.last_used_time
@@ -198,7 +214,7 @@ class MaiEmoji(BaseImageDataModel):
class MaiImage(BaseImageDataModel):
"""麦麦图片数据模型,仅当**图片文件存在**时才应该创建此对象,数据库记录如果标记为文件不存在`(no_file_flag = True)`则不应该调用 `from_db_instance` 方法来创建此对象"""
"""普通图片数据模型"""
def __init__(self, full_path: str | Path, image_bytes: Optional[bytes] = None):
self.description: str = ""
@@ -207,19 +223,10 @@ class MaiImage(BaseImageDataModel):
@classmethod
def from_db_instance(cls, db_record: Images):
"""从数据库记录建 MaiImage 对象,如果记录标记为文件不存在则**抛出异常**
调用者应该对数据库记录进行检查,如果 `no_file_flag` 为 True 则不应该调用此方法
Args:
db_record (Images): 数据库中的图片记录
Returns:
return (MaiImage): 包含图片信息的 MaiImage 对象
Raises:
ValueError: 如果数据库记录标记为文件不存在则抛出该异常
"""
"""从数据库记录`MaiImage` 对象"""
if db_record.no_file_flag:
raise ValueError(f"数据库记录 {db_record.image_hash} 标记为文件不存在,无法创建 MaiImage 对象")
obj = cls(db_record.full_path)
obj.file_hash = db_record.image_hash
obj._set_full_path(Path(db_record.full_path))