225 lines
9.4 KiB
Python
225 lines
9.4 KiB
Python
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import argparse
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import logging
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from pathlib import Path
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import random
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import sys
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import json # Added for reading metadata
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try:
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from PIL import Image
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except ImportError:
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print("错误: 未找到所需的库 PIL (Pillow) 和 imagehash。")
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print("请先安装它们: pip install Pillow imagehash")
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sys.exit(1)
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# --- 配置 ---
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# 日志设置
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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logger = logging.getLogger(__name__)
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# 支持的图片文件扩展名 (小写)
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IMAGE_EXTENSIONS = {'.jpg', '.jpeg', '.png', '.webp'}
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# 每组选取的图片数量
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IMAGES_PER_GROUP = 3
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# --- 核心功能 ---
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def find_image_files(directory: Path) -> list[Path]:
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# Changed to non-recursive find to align with poster_notes_creator logic
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"""Finds image files directly within the specified directory (non-recursive)."""
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if not directory.is_dir():
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logger.error(f"错误：目录不存在或不是一个有效的目录 -> {directory}")
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return []
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logger.info(f"开始在目录中扫描图片 (非递归): {directory}")
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image_files = []
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try:
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# Use iterdir for non-recursive listing
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for item in directory.iterdir():
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if item.is_file() and item.suffix.lower() in IMAGE_EXTENSIONS:
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image_files.append(item)
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except Exception as e:
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logger.error(f"扫描目录时出错: {e}")
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return []
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logger.info(f"在 {directory} 中找到 {len(image_files)} 个图片文件。")
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return image_files
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def calculate_image_hash(image_path: Path) -> str | None:
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"""计算图片的感知哈希 (phash) 作为数字指纹。"""
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try:
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# 使用 Pillow 打开图片
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with Image.open(image_path) as img:
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# phash 通常在灰度图上效果更好，且能处理不同模式（如 RGBA, P）
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# 如果图片无法转换或打开，会抛出异常
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hash_val = imagehash.phash(img.convert('L'))
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# 返回哈希值的字符串形式
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return str(hash_val)
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except Exception as e:
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logger.warning(f"无法识别的图片格式，跳过哈希计算: {image_path}")
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return None
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except Exception as e:
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# 捕获其他可能的错误，如文件损坏、权限问题等
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logger.warning(f"无法为图片计算哈希值 {image_path}: {e}")
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return None
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def select_image_groups(
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image_paths: list[Path],
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num_groups: int,
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metadata_path: Path # Added metadata path argument
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) -> list[list[dict]]:
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"""从图片列表中随机选择指定数量的图片组，排除元数据中指定的图片。"""
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# --- Read Metadata and Filter Used Images ---
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used_image_filenames = set()
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if metadata_path and metadata_path.is_file():
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try:
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with open(metadata_path, 'r', encoding='utf-8') as f:
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metadata = json.load(f)
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# Assuming the key for used images is 'collage_images'
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# Adjust the key if your metadata structure is different
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used_list = metadata.get('collage_images', [])
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if isinstance(used_list, list):
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used_image_filenames = set(used_list)
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logger.info(f"从元数据 {metadata_path.name} 中加载了 {len(used_image_filenames)} 个已使用的图片文件名进行排除。")
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else:
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logger.warning(f"元数据文件 {metadata_path.name} 中的 'collage_images' 键不是一个列表，无法排除图片。")
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except json.JSONDecodeError:
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logger.error(f"无法解析元数据文件 (JSON格式错误): {metadata_path}. 将不排除任何图片。")
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except Exception as e:
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logger.error(f"读取元数据文件时出错 {metadata_path}: {e}. 将不排除任何图片。")
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elif metadata_path:
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logger.warning(f"指定的元数据文件不存在或不是文件: {metadata_path}. 将不排除任何图片。")
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else:
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logger.info("未提供元数据文件，将不排除任何图片。")
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# Filter the initial list based on used filenames
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available_image_paths = [p for p in image_paths if p.name not in used_image_filenames]
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logger.info(f"总共找到 {len(image_paths)} 张图片, 排除 {len(used_image_filenames)} 张已用图片后, 剩余可用图片: {len(available_image_paths)} 张。")
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# --- End Metadata Reading and Filtering ---
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total_available_images = len(available_image_paths)
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if total_available_images < IMAGES_PER_GROUP:
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logger.error(f"可用图片总数 ({total_available_images}) 少于每组所需的 {IMAGES_PER_GROUP} 张。无法进行选择。")
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return []
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selected_groups_data = []
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logger.info(f"开始从 {total_available_images} 张可用图片中选择 {num_groups} 组，每组 {IMAGES_PER_GROUP} 张...")
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# Use a copy of the available paths list for sampling if groups might overlap significantly
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# For now, sample directly from the available list
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current_available_paths = list(available_image_paths) # Make a copy if we need to ensure groups don't deplete the pool for later groups in one run
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for i in range(num_groups):
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logger.info(f"--- 正在选择第 {i + 1} / {num_groups} 组 ---")
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# Check if enough images remain for the current group
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if len(current_available_paths) < IMAGES_PER_GROUP:
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logger.warning(f"剩余可用图片 ({len(current_available_paths)}) 不足以组成第 {i+1} 组 (需要 {IMAGES_PER_GROUP} 张)。停止选择。")
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break # Stop if not enough images left for a full group
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try:
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# Sample from the *currently available* paths
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selected_paths_for_group = random.sample(current_available_paths, IMAGES_PER_GROUP)
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# Optional: Remove selected images from the pool if groups must be distinct
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# (Commented out for now, allowing images to appear in multiple groups)
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# for path in selected_paths_for_group:
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# current_available_paths.remove(path)
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group_data = []
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for img_path in selected_paths_for_group:
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img_hash = calculate_image_hash(img_path)
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group_data.append({
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"path": str(img_path.resolve()),
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"hash": img_hash
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})
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logger.debug(f" 已选定: {img_path} (哈希: {img_hash if img_hash else '无法计算'})")
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selected_groups_data.append(group_data)
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except ValueError:
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# This might happen if the pool size becomes less than IMAGES_PER_GROUP between check and sample (unlikely here)
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logger.error(f"选择第 {i+1} 组时发生 ValueError (剩余图片不足？)。已选 {len(current_available_paths)} 张可用。")
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break
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except Exception as e:
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logger.error(f"选择第 {i+1} 组时发生意外错误: {e}")
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continue # Skip this group
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logger.info(f"图片组选择完成。共选出 {len(selected_groups_data)} 组。")
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return selected_groups_data
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def print_results(selected_groups: list[list[dict]]):
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"""格式化并打印选择结果。"""
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if not selected_groups:
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print("\n未能选出任何图片组。")
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return
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print("\n========== 图片选择结果 ==========")
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for i, group in enumerate(selected_groups):
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print(f"\n--- 组 {i + 1} ---")
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if not group:
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print(" (此组选择失败)")
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continue
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for item in group:
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print(f" 图片路径: {item['path']}")
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print(f" 数字指纹 (phash): {item['hash'] if item['hash'] else 'N/A'}")
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print("\n===================================")
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# --- 主程序入口 ---
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if __name__ == "__main__":
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# 设置命令行参数解析
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parser = argparse.ArgumentParser(
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description=f"从指定目录随机选择数组图片（每组 {IMAGES_PER_GROUP} 张），并计算数字指纹。"
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)
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parser.add_argument(
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"--image_dir",
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type=str,
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required=True,
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help="包含图片的源目录路径。"
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)
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parser.add_argument(
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"--num_groups",
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type=int,
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required=True,
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help="要选择的图片组数量。"
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)
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parser.add_argument(
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"--metadata_path",
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type=str,
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required=True, # Make it required as per user request
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help="包含已使用图片列表的 JSON 元数据文件路径。假设键为 'collage_images'。"
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)
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# 解析参数
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args = parser.parse_args()
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# 输入验证
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source_directory = Path(args.image_dir)
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number_of_groups = args.num_groups
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metadata_file_path = Path(args.metadata_path)
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if number_of_groups <= 0:
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logger.error("选择的组数必须是一个正整数。")
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if not metadata_file_path.is_file():
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logger.error(f"指定的元数据文件不存在或不是一个文件: {metadata_file_path}")
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sys.exit(1)
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# 1. 查找图片 (Non-recursive)
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all_images = find_image_files(source_directory)
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if not all_images:
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logger.info("在指定目录中未找到任何符合条件的图片文件。") # Changed from error to info
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sys.exit(0) # Exit gracefully if no images found
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# 2. 选择图片组 (Now includes filtering)
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final_selected_groups = select_image_groups(all_images, number_of_groups, metadata_file_path)
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# 3. 打印结果
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print_results(final_selected_groups)
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logger.info("脚本执行完毕。")
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