TravelContentCreator/utils/poster_notes_creator.py

372 lines
13 KiB
Python
Raw Normal View History

2025-04-26 14:53:54 +08:00
import os
import random
import logging
import json
from PIL import Image
import traceback
from typing import List, Tuple, Dict, Any, Optional
from .output_handler import OutputHandler
logger = logging.getLogger(__name__)
class PosterNotesCreator:
"""
处理原始海报作为主图并随机选择额外的图片作为笔记图片
确保选择的笔记图片与海报中使用的图片不重复
"""
def __init__(self, output_handler: OutputHandler):
"""
初始化 PosterNotesCreator
Args:
output_handler: 可选的 OutputHandler 实例用于处理输出
"""
self.output_handler = output_handler
logging.info("PosterNotesCreator 初始化完成")
def create_notes_images(
self,
run_id: str,
topic_index: int,
variant_index: int,
poster_image_path: str,
poster_metadata_path: str,
source_image_dir: str,
num_additional_images: int,
output_filename_template: str = "note_{index}.jpg"
) -> List[str]:
"""
创建笔记图像
Args:
run_id: 运行ID
topic_index: 主题索引
variant_index: 变体索引
poster_image_path: 海报图像路径
poster_metadata_path: 海报元数据路径
source_image_dir: 源图像目录
num_additional_images: 要使用的额外图像数量
output_filename_template: 输出文件名模板
Returns:
List[str]: 保存的笔记图像路径列表
"""
# 检查输入路径是否存在
if not os.path.exists(poster_image_path):
logger.error(f"海报图像不存在: {poster_image_path}")
return []
if not os.path.exists(poster_metadata_path):
logger.error(f"海报元数据不存在: {poster_metadata_path}")
return []
if not os.path.exists(source_image_dir) or not os.path.isdir(source_image_dir):
logger.error(f"源图像目录不存在: {source_image_dir}")
return []
# 从元数据文件中读取已使用的图像信息
try:
with open(poster_metadata_path, 'r', encoding='utf-8') as f:
poster_metadata = json.load(f)
except Exception as e:
logger.error(f"无法读取海报元数据: {e}")
return []
# 获取已经在海报中使用的图像
used_images = []
if 'collage_images' in poster_metadata:
used_images = poster_metadata['collage_images']
logger.info(f"海报中已使用 {len(used_images)} 张图像: {', '.join(used_images)}")
# 列出源目录中的所有图像文件
image_extensions = ('.jpg', '.jpeg', '.png', '.bmp')
available_images = [
f for f in os.listdir(source_image_dir)
if os.path.isfile(os.path.join(source_image_dir, f)) and
f.lower().endswith(image_extensions)
]
if not available_images:
logger.error(f"源目录中没有找到图像: {source_image_dir}")
return []
logger.info(f"源目录中找到 {len(available_images)} 张图像")
# 过滤掉已经在海报中使用的图像
available_images = [img for img in available_images if img not in used_images]
if not available_images:
logger.warning("所有图像都已在海报中使用,无法创建额外笔记")
return []
logger.info(f"过滤后可用图像数量: {len(available_images)}")
# 如果可用图像少于请求数量,进行警告但继续处理
if len(available_images) < num_additional_images:
logger.warning(
f"可用图像数量 ({len(available_images)}) 少于请求的笔记数量 ({num_additional_images})"
f"将使用所有可用图像"
)
selected_images = available_images
else:
# 随机选择额外图像
selected_images = random.sample(available_images, num_additional_images)
logger.info(f"已选择 {len(selected_images)} 张图像作为笔记")
# 保存选择的笔记图像
saved_paths = []
for i, image_filename in enumerate(selected_images):
try:
# 加载图像
image_path = os.path.join(source_image_dir, image_filename)
image = Image.open(image_path)
# 生成输出文件名
output_filename = output_filename_template.format(index=i+1)
# 创建元数据
note_metadata = {
"original_image": image_filename,
"note_index": i + 1,
"source_dir": source_image_dir,
"associated_poster": os.path.basename(poster_image_path)
}
# 使用输出处理器保存图像
saved_path = self.output_handler.handle_generated_image(
run_id,
topic_index,
variant_index,
'note', # 图像类型为note
image,
output_filename,
note_metadata
)
saved_paths.append(saved_path)
logger.info(f"已保存笔记图像 {i+1}/{len(selected_images)}: {saved_path}")
except Exception as e:
logger.error(f"处理图像时出错 '{image_filename}': {e}")
return saved_paths
def create_additional_images(
self,
run_id: str,
topic_index: int,
variant_index: int,
poster_metadata_path: str,
source_image_dir: str,
num_additional_images: int = 3,
output_filename_template: str = "additional_{index}.jpg"
) -> List[str]:
"""
选择未被海报使用的图像作为额外配图
Args:
run_id: 运行ID
topic_index: 主题索引
variant_index: 变体索引
poster_metadata_path: 海报元数据路径
source_image_dir: 源图像目录
num_additional_images: 要选择的额外图像数量
output_filename_template: 输出文件名模板
Returns:
List[str]: 保存的额外配图路径列表
"""
logger.info(f"开始为主题 {topic_index} 变体 {variant_index} 选择额外配图")
# 检查输入路径是否存在
if not os.path.exists(poster_metadata_path):
logger.error(f"海报元数据不存在: {poster_metadata_path}")
return []
if not os.path.exists(source_image_dir) or not os.path.isdir(source_image_dir):
logger.error(f"源图像目录不存在: {source_image_dir}")
return []
# 从元数据文件中读取已使用的图像信息
try:
with open(poster_metadata_path, 'r', encoding='utf-8') as f:
poster_metadata = json.load(f)
except Exception as e:
logger.error(f"无法读取海报元数据: {e}")
return []
# 获取已经在海报中使用的图像
used_images = []
if 'collage_images' in poster_metadata:
used_images = poster_metadata['collage_images']
logger.info(f"海报中已使用 {len(used_images)} 张图像: {', '.join(used_images)}")
# 列出源目录中的所有图像文件
image_extensions = ('.jpg', '.jpeg', '.png', '.bmp')
available_images = [
f for f in os.listdir(source_image_dir)
if os.path.isfile(os.path.join(source_image_dir, f)) and
f.lower().endswith(image_extensions)
]
if not available_images:
logger.error(f"源目录中没有找到图像: {source_image_dir}")
return []
logger.info(f"源目录中找到 {len(available_images)} 张图像")
# 过滤掉已经在海报中使用的图像
available_images = [img for img in available_images if img not in used_images]
if not available_images:
logger.warning("所有图像都已在海报中使用,无法创建额外配图")
return []
logger.info(f"过滤后可用图像数量: {len(available_images)}")
# 如果可用图像少于请求数量,进行警告但继续处理
if len(available_images) < num_additional_images:
logger.warning(
f"可用图像数量 ({len(available_images)}) 少于请求的配图数量 ({num_additional_images})"
f"将使用所有可用图像"
)
selected_images = available_images
else:
# 随机选择额外图像
selected_images = random.sample(available_images, num_additional_images)
logger.info(f"已选择 {len(selected_images)} 张图像作为额外配图")
# 保存选择的额外配图
saved_paths = []
for i, image_filename in enumerate(selected_images):
try:
# 加载图像
image_path = os.path.join(source_image_dir, image_filename)
image = Image.open(image_path)
# 生成输出文件名
output_filename = output_filename_template.format(index=i+1)
# 创建元数据
additional_metadata = {
"original_image": image_filename,
"additional_index": i + 1,
"source_dir": source_image_dir,
"is_additional_image": True
}
# 使用输出处理器保存图像
saved_path = self.output_handler.handle_generated_image(
run_id,
topic_index,
variant_index,
'additional', # 图像类型为additional
image,
output_filename,
additional_metadata
)
saved_paths.append(saved_path)
logger.info(f"已保存额外配图 {i+1}/{len(selected_images)}: {saved_path}")
except Exception as e:
logger.error(f"处理图像时出错 '{image_filename}': {e}")
return saved_paths
def process_poster_for_notes(
run_id: str,
topic_index: int,
variant_index: int,
poster_image_path: str,
poster_metadata_path: str,
source_image_dir: str,
num_additional_images: int,
output_handler: OutputHandler,
output_filename_template: str = "note_{index}.jpg"
) -> List[str]:
"""
处理海报并创建笔记图像
Args:
run_id: 运行ID
topic_index: 主题索引
variant_index: 变体索引
poster_image_path: 海报图像路径
poster_metadata_path: 海报元数据路径
source_image_dir: 源图像目录
num_additional_images: 要使用的额外图像数量
output_handler: 输出处理器
output_filename_template: 输出文件名模板
Returns:
List[str]: 保存的笔记图像路径列表
"""
logger.info(f"开始为海报创建笔记图像: {poster_image_path}")
# 验证输入
if not os.path.exists(poster_image_path):
logger.error(f"海报图像不存在: {poster_image_path}")
return []
# 创建处理器实例并处理
creator = PosterNotesCreator(output_handler)
return creator.create_notes_images(
run_id,
topic_index,
variant_index,
poster_image_path,
poster_metadata_path,
source_image_dir,
num_additional_images,
output_filename_template
)
def select_additional_images(
run_id: str,
topic_index: int,
variant_index: int,
poster_metadata_path: str,
source_image_dir: str,
num_additional_images: int,
output_handler: OutputHandler,
output_filename_template: str = "additional_{index}.jpg"
) -> List[str]:
"""
选择未被海报使用的图像作为额外配图
Args:
run_id: 运行ID
topic_index: 主题索引
variant_index: 变体索引
poster_metadata_path: 海报元数据路径
source_image_dir: 源图像目录
num_additional_images: 要选择的额外图像数量
output_handler: 输出处理器
output_filename_template: 输出文件名模板
Returns:
List[str]: 保存的额外配图路径列表
"""
logger.info(f"开始为主题 {topic_index} 变体 {variant_index} 选择额外配图")
# 验证输入
if not os.path.exists(poster_metadata_path):
logger.error(f"海报元数据不存在: {poster_metadata_path}")
return []
# 创建处理器实例并处理
creator = PosterNotesCreator(output_handler)
return creator.create_additional_images(
run_id,
topic_index,
variant_index,
poster_metadata_path,
source_image_dir,
num_additional_images,
output_filename_template
)