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feat: 史上最好的消息流重构和图片管理

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This commit is contained in:
tcmofashi
2025-03-11 04:42:24 +08:00
parent 7899e67cb2
commit 8cbf9bb048
13 changed files with 272 additions and 235 deletions
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93
src/plugins/chat/utils_image.py
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@@ -59,7 +59,7 @@ class ImageManager:
self.db.db.image_descriptions.create_index([('hash', 1)], unique=True)
self.db.db.image_descriptions.create_index([('type', 1)])
async def _get_description_from_db(self, image_hash: str, description_type: str) -> Optional[str]:
def _get_description_from_db(self, image_hash: str, description_type: str) -> Optional[str]:
"""从数据库获取图片描述
Args:
@@ -69,13 +69,13 @@ class ImageManager:
Returns:
Optional[str]: 描述文本，如果不存在则返回None
"""
result = await self.db.db.image_descriptions.find_one({
result= self.db.db.image_descriptions.find_one({
'hash': image_hash,
'type': description_type
})
return result['description'] if result else None
async def _save_description_to_db(self, image_hash: str, description: str, description_type: str) -> None:
def _save_description_to_db(self, image_hash: str, description: str, description_type: str) -> None:
"""保存图片描述到数据库
Args:
@@ -83,7 +83,7 @@ class ImageManager:
description: 描述文本
description_type: 描述类型 ('emoji' 或 'image')
"""
await self.db.db.image_descriptions.update_one(
self.db.db.image_descriptions.update_one(
{'hash': image_hash, 'type': description_type},
{
'$set': {
@@ -253,8 +253,9 @@ class ImageManager:
image_hash = hashlib.md5(image_bytes).hexdigest()
# 查询缓存的描述
cached_description = await self._get_description_from_db(image_hash, 'emoji')
cached_description = self._get_description_from_db(image_hash, 'emoji')
if cached_description:
logger.info(f"缓存表情包描述: {cached_description}")
return f"[表情包：{cached_description}]"
# 调用AI获取描述
@@ -281,7 +282,7 @@ class ImageManager:
'description': description,
'timestamp': timestamp
}
await self.db.db.images.update_one(
self.db.db.images.update_one(
{'hash': image_hash},
{'$set': image_doc},
upsert=True
@@ -291,7 +292,7 @@ class ImageManager:
logger.error(f"保存表情包文件失败: {str(e)}")
# 保存描述到数据库
await self._save_description_to_db(image_hash, description, 'emoji')
self._save_description_to_db(image_hash, description, 'emoji')
return f"[表情包：{description}]"
except Exception as e:
@@ -306,7 +307,7 @@ class ImageManager:
image_hash = hashlib.md5(image_bytes).hexdigest()
# 查询缓存的描述
cached_description = await self._get_description_from_db(image_hash, 'image')
cached_description = self._get_description_from_db(image_hash, 'image')
if cached_description:
return f"[图片：{cached_description}]"
@@ -334,7 +335,7 @@ class ImageManager:
'description': description,
'timestamp': timestamp
}
await self.db.db.images.update_one(
self.db.db.images.update_one(
{'hash': image_hash},
{'$set': image_doc},
upsert=True
@@ -357,80 +358,6 @@ class ImageManager:
image_manager = ImageManager()
def compress_base64_image_by_scale(base64_data: str, target_size: int = 0.8 * 1024 * 1024) -> str:
"""压缩base64格式的图片到指定大小
Args:
base64_data: base64编码的图片数据
target_size: 目标文件大小（字节），默认0.8MB
Returns:
str: 压缩后的base64图片数据
"""
try:
# 将base64转换为字节数据
image_data = base64.b64decode(base64_data)
# 如果已经小于目标大小，直接返回原图
if len(image_data) <= 2*1024*1024:
return base64_data
# 将字节数据转换为图片对象
img = Image.open(io.BytesIO(image_data))
# 获取原始尺寸
original_width, original_height = img.size
# 计算缩放比例
scale = min(1.0, (target_size / len(image_data)) ** 0.5)
# 计算新的尺寸
new_width = int(original_width * scale)
new_height = int(original_height * scale)
# 创建内存缓冲区
output_buffer = io.BytesIO()
# 如果是GIF，处理所有帧
if getattr(img, "is_animated", False):
frames = []
for frame_idx in range(img.n_frames):
img.seek(frame_idx)
new_frame = img.copy()
new_frame = new_frame.resize((new_width//2, new_height//2), Image.Resampling.LANCZOS) # 动图折上折
frames.append(new_frame)
# 保存到缓冲区
frames[0].save(
output_buffer,
format='GIF',
save_all=True,
append_images=frames[1:],
optimize=True,
duration=img.info.get('duration', 100),
loop=img.info.get('loop', 0)
)
else:
# 处理静态图片
resized_img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
# 保存到缓冲区，保持原始格式
if img.format == 'PNG' and img.mode in ('RGBA', 'LA'):
resized_img.save(output_buffer, format='PNG', optimize=True)
else:
resized_img.save(output_buffer, format='JPEG', quality=95, optimize=True)
# 获取压缩后的数据并转换为base64
compressed_data = output_buffer.getvalue()
logger.success(f"压缩图片: {original_width}x{original_height} -> {new_width}x{new_height}")
logger.info(f"压缩前大小: {len(image_data)/1024:.1f}KB, 压缩后大小: {len(compressed_data)/1024:.1f}KB")
return base64.b64encode(compressed_data).decode('utf-8')
except Exception as e:
logger.error(f"压缩图片失败: {str(e)}")
import traceback
logger.error(traceback.format_exc())
return base64_data
def image_path_to_base64(image_path: str) -> str:
"""将图片路径转换为base64编码
Args: