96 lines
3.1 KiB
Python
96 lines
3.1 KiB
Python
# AUTO_MAA:A MAA Multi Account Management and Automation Tool
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# Copyright © 2025 ClozyA
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# This file is part of AUTO_MAA.
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# AUTO_MAA is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published
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# by the Free Software Foundation, either version 3 of the License,
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# or (at your option) any later version.
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# AUTO_MAA is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty
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# of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See
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# the GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with AUTO_MAA. If not, see <https://www.gnu.org/licenses/>.
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# Contact: DLmaster_361@163.com
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"""
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AUTO_MAA
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AUTO_MAA图像组件
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v4.4
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作者：ClozyA
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"""
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import base64
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import hashlib
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from pathlib import Path
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from PIL import Image
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class ImageUtils:
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@staticmethod
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def get_base64_from_file(image_path):
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"""从本地文件读取并返回base64编码字符串"""
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with open(image_path, "rb") as f:
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return base64.b64encode(f.read()).decode("utf-8")
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@staticmethod
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def calculate_md5_from_file(image_path):
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"""从本地文件读取并返回md5值（hex字符串）"""
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with open(image_path, "rb") as f:
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return hashlib.md5(f.read()).hexdigest()
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@staticmethod
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def calculate_md5_from_base64(base64_content):
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"""从base64字符串计算md5"""
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image_data = base64.b64decode(base64_content)
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return hashlib.md5(image_data).hexdigest()
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@staticmethod
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def compress_image_if_needed(image_path: Path, max_size_mb=2) -> Path:
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"""
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如果图片大于max_size_mb，则压缩并覆盖原文件，返回原始路径（Path对象）
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"""
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if hasattr(Image, "Resampling"): # Pillow 9.1.0及以后
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RESAMPLE = Image.Resampling.LANCZOS
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else:
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RESAMPLE = Image.ANTIALIAS
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max_size = max_size_mb * 1024 * 1024
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if image_path.stat().st_size <= max_size:
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return image_path
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img = Image.open(image_path)
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suffix = image_path.suffix.lower()
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quality = 90 if suffix in [".jpg", ".jpeg"] else None
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step = 5
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if suffix in [".jpg", ".jpeg"]:
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while True:
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img.save(image_path, quality=quality, optimize=True)
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if image_path.stat().st_size <= max_size or quality <= 10:
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break
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quality -= step
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elif suffix == ".png":
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width, height = img.size
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while True:
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img.save(image_path, optimize=True)
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if (
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image_path.stat().st_size <= max_size
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or width <= 200
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or height <= 200
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):
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break
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width = int(width * 0.95)
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height = int(height * 0.95)
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img = img.resize((width, height), RESAMPLE)
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else:
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raise ValueError("仅支持JPG/JPEG和PNG格式图片的压缩。")
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return image_path
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