fix:添加UI界面，完善功能
This commit is contained in:
@@ -10,12 +10,13 @@ from config.config import load_config
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config = load_config("config.toml")
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def generate_comment(name, age_group, traits):
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def generate_comment(name, age_group, traits,sex):
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"""
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生成评语
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:param name: 学生姓名
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:param age_group: 所在班级
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:param traits: 表现特征
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:param sex: 性别
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:return: 评语
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"""
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@@ -29,7 +30,7 @@ def generate_comment(name, age_group, traits):
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# 2. 构建 Prompt Template
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prompt = ChatPromptTemplate.from_messages([
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("system", ai_config["prompt"]),
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("human", "学生姓名：{name}\n所在班级：{age_group}\n表现特征：{traits}\n\n请开始撰写评语：")
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("human", "学生姓名：{name}\n所在班级：{age_group}\n性别：{sex}\n表现特征：{traits}\n\n请开始撰写评语：")
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])
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# 3. 组装链 (Prompt -> Model -> OutputParser)
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@@ -40,11 +41,12 @@ def generate_comment(name, age_group, traits):
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comment = chain.invoke({
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"name": name,
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"age_group": age_group,
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"traits": traits
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"traits": traits,
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"sex": sex
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})
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cleaned_text = re.sub(r'\s+', '', comment)
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logger.success(f"学生：{name} =>生成评语成功: {cleaned_text}")
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return cleaned_text
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except Exception as e:
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print(f"生成评语失败: {e}")
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logger.error(f"生成评语失败: {e}")
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return "生成失败，请检查网络或Key。"
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121
utils/file_utils.py
Normal file
121
utils/file_utils.py
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@@ -0,0 +1,121 @@
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import shutil
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import os
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import time
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from loguru import logger
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def export_data_folder(source_folder="data", output_folder="backup"):
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"""
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将指定文件夹压缩为 zip 包
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:param source_folder: 要压缩的文件夹路径 (默认 'data')
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:param output_folder: 压缩包存放的文件夹路径 (默认 'backup')
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"""
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try:
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# 1. 检查源文件夹是否存在
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if not os.path.exists(source_folder):
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logger.error(f"备份失败: 找不到源文件夹 '{source_folder}'")
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return
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# 2. 确保输出目录存在
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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logger.info(f"创建备份目录: {output_folder}")
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# 3. 生成带时间戳的文件名 (例如: data_backup_20251211_103000)
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timestamp = time.strftime("%Y%m%d_%H%M%S")
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# 注意: make_archive 不需要写后缀 .zip，它会自动加
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base_name = os.path.join(output_folder, f"data_备份_{timestamp}")
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logger.info(f"正在压缩 '{source_folder}' ...")
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# 4. 执行压缩
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# format="zip": 压缩格式
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# root_dir: 要压缩的根目录的上级目录 (通常填 None)
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# base_dir: 要压缩的具体目录
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zip_path = shutil.make_archive(
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base_name=base_name,
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format="zip",
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root_dir=os.path.dirname(
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os.path.abspath(source_folder)
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), # 这里为了安全，定位到父级
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base_dir=os.path.basename(
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os.path.abspath(source_folder)
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), # 只压缩 data 文件夹本身
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)
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logger.success(f"✅ 备份成功! 文件已保存至:\n{zip_path}")
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return zip_path
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except Exception as e:
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logger.error(f"❌ 备份出错: {str(e)}")
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import traceback
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logger.error(traceback.format_exc())
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def initialize_project(root_dir="."):
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"""
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初始化项目：清空 data，重建目录，复制模板
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:param root_dir: 项目根目录
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"""
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# 定义路径
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data_dir = os.path.join(root_dir, "data")
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images_dir = os.path.join(data_dir, "images")
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output_dir = os.path.join(root_dir, "output")
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# 模板源文件路径
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template_dir = os.path.join(root_dir, "templates")
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src_excel = os.path.join(template_dir, "names.xlsx")
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dst_excel = os.path.join(data_dir, "names.xlsx")
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logger.info("开始初始化/重置项目...")
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# --- 1. 清空 data 文件夹 ---
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if os.path.exists(data_dir):
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try:
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# 暴力删除整个 data 文件夹及其内容
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shutil.rmtree(data_dir)
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logger.info(f"已清理旧数据: {data_dir}")
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except PermissionError:
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logger.error(
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f"❌ 删除失败！请检查 '{data_dir}' 下的文件（如 Excel）是否正在被打开。"
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)
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return
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except Exception as e:
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logger.error(f"❌ 删除出错: {e}")
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return
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# --- 2. 清空 output_dir 文件夹 ---
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if os.path.exists(output_dir):
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try:
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# 暴力删除整个 output 文件夹及其内容
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shutil.rmtree(output_dir)
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logger.info(f"已清理旧数据: {output_dir}")
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except PermissionError:
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logger.error(f"❌ 删除失败！请检查 '{output_dir}' 下的文件是否正在被打开。")
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return
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except Exception as e:
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logger.error(f"❌ 删除出错: {e}")
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return
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# --- 2. 新建目录结构 ---
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try:
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# makedirs 会自动创建父级目录 (data 和 data/images 都会被创建)
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os.makedirs(images_dir, exist_ok=True)
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os.makedirs(output_dir, exist_ok=True)
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logger.info(f"✅ 已创建目录: {images_dir}")
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except Exception as e:
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logger.error(f"创建目录失败: {e}")
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return
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# --- 3. 复制模板文件 ---
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if os.path.exists(src_excel):
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try:
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shutil.copy(src_excel, dst_excel)
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logger.success(f"✅ 成功从模板恢复: {dst_excel}")
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logger.success("🎉 初始化完成！一切已恢复出厂设置。")
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except Exception as e:
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logger.error(f"复制模板文件失败: {e}")
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else:
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logger.warning(
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f"⚠️ 警告: 模板文件不存在 ({src_excel})，data 文件夹内将没有 Excel 文件。"
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)
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358
utils/generate_utils.py
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358
utils/generate_utils.py
Normal file
@@ -0,0 +1,358 @@
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import os
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import time
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import pandas as pd
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from loguru import logger
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from pptx import Presentation
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from rich.console import Console
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import comtypes.client
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from config.config import load_config
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from utils.agent_utils import generate_comment
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from utils.font_utils import install_fonts_from_directory
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from utils.image_utils import find_image_path
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from utils.zodiac_utils import calculate_zodiac
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from utils.growt_utils import replace_one_page, replace_two_page, replace_three_page, replace_four_page, replace_five_page
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# 如果你之前没有全局定义 console，这里定义一个
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console = Console()
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# ==========================================
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# 1. 配置区域 (Configuration)
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# ==========================================
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config = load_config("config.toml")
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# ==========================================
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# 1. 生成模板(根据names.xlsx文件生成名字图片文件夹)
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# ==========================================
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def generate_template():
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try:
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# 2. 读取数据
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df = pd.read_excel(config["excel_file"], sheet_name="Sheet1")
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# --- 修改点开始 ---
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# 直接读取 "姓名" 这一列，不使用列表包裹列名，这样得到的是一维数据
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datas = df["姓名"].values.tolist()
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# --- 修改点结束 ---
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logger.info(f"开始生成学生模版文件，共 {len(datas)} 位学生...")
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# 3. 循环处理
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# 此时 name 就是字符串 '张三'，而不是列表 ['张三']
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for i, name in enumerate(datas):
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logger.info(f"[{i + 1}/{len(datas)}] 正在生成: {name}")
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# 确保 name 是字符串且去除了空格 (增加健壮性)
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name = str(name).strip()
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student_folder = os.path.join(config["image_folder"], name)
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if os.path.exists(student_folder):
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logger.info(f"学生图片文件夹已存在 {student_folder}")
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else:
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logger.info(f"正在生成学生图片文件夹 {student_folder}")
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os.makedirs(student_folder, exist_ok=True)
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except Exception as e:
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logger.error(f"程序运行出错: {str(e)}")
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# 打印详细报错位置，方便调试
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import traceback
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logger.error(traceback.format_exc())
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# ==========================================
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# 2. 生成评语(根据names.xlsx文件生成评价)
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# ==========================================
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def generate_comment_all():
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try:
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# 1. 读取数据
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excel_path = config["excel_file"]
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df = pd.read_excel(excel_path, sheet_name="Sheet1")
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# 检查是否存在"评价"列，不存在则新建（防止报错）
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if "评价" not in df.columns:
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df["评价"] = ""
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# --- 获取总行数，用于日志 ---
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# 强制将“评价”列转换为 object 类型
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total_count = len(df)
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logger.info(f"开始生成学生评语，共 {total_count} 位学生...")
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df["评价"] = df["评价"].astype("object")
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# --- 遍历 DataFrame 的索引 (index) ---
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# 这样我们可以通过索引 i 精准地把数据写回某一行
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for i in df.index:
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name = df.at[i, "姓名"] # 获取当前行的姓名
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sex = df.at[i,"性别"]
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if pd.isna(sex):
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sex = "男"
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else:
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sex = str(sex).strip()
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# 健壮性处理
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if pd.isna(name): continue # 跳过空行
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name = str(name).strip()
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# 获取当前行的特征（如果Excel里有“特征”这一列就读，没有就用默认值）
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# 假设Excel里有一列叫 "表现特征"，如果没有则用默认的 "有礼貌..."
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traits = df.at[i, "表现特征"] if "表现特征" in df.columns and not pd.isna(
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df.at[i, "表现特征"]) else "有礼貌、守纪律"
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# 优化：如果“评价”列已经有内容了，跳过不生成（节省API费用）
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current_comment = df.at[i, "评价"]
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if not pd.isna(current_comment) and str(current_comment).strip() != "":
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logger.info(f"[{i + 1}/{total_count}] {name} 已有评语，跳过。")
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continue
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logger.info(f"[{i + 1}/{total_count}] 正在生成评价: {name}")
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try:
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# 调用你的生成函数，并【接收返回值】
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# 注意：这里假设 generate_comment 返回的是清洗后的字符串
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generated_text = generate_comment(name, config["age_group"], traits,sex)
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# --- 将结果写入 DataFrame ---
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df.at[i, "评价"] = generated_text
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logger.success(f"学生：{name}，评语生成完毕")
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# 可选：每生成 5 个就保存一次，防止程序崩溃数据丢失
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if (i + 1) % 5 == 0:
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df.to_excel(excel_path, index=False)
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logger.info("--- 阶段性保存成功 ---")
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time.sleep(1) # 避免触发API速率限制
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except Exception as e:
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logger.error(f"学生：{name}，生成评语出错: {str(e)}")
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# --- 修改点 4: 循环结束后最终保存文件 ---
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# index=False 表示不把 pandas 的索引 (0,1,2...) 写到 Excel 第一列
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df.to_excel(excel_path, index=False)
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logger.success(f"所有评语已生成并写入文件：{excel_path}")
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except PermissionError:
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logger.error(f"保存失败！请先关闭 Excel 文件：{config['excel_file']}")
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except Exception as e:
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logger.error(f"程序运行出错: {str(e)}")
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import traceback
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logger.error(traceback.format_exc())
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# ==========================================
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# 3. 生成成长报告(根据names.xlsx文件生成)
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# ==========================================
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def generate_report():
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# 1. 资源准备
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if install_fonts_from_directory(config["fonts_dir"]):
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logger.info("等待系统识别新安装的字体...")
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time.sleep(2)
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os.makedirs(config["output_folder"], exist_ok=True)
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if not os.path.exists(config["source_file"]):
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logger.info(f"错误: 找不到模版文件 {config['source_file']}")
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return
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if not os.path.exists(config["excel_file"]):
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logger.info(f"错误: 找不到数据文件 {config['excel_file']}")
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return
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try:
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# 2. 读取数据
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df = pd.read_excel(config["excel_file"], sheet_name="Sheet1")
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# 确保列名对应
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columns = ["姓名", "英文名", "性别", "生日", "属相", "我的好朋友", "我的爱好", "喜欢的游戏", "喜欢吃的食物",
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"评价"]
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datas = df[columns].values.tolist()
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teacher_names_str = " ".join(config["teachers"])
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logger.info(f"开始处理，共 {len(datas)} 位学生...")
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# 3. 循环处理
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for i, row_data in enumerate(datas):
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# 解包数据
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(name, english_name, sex, birthday, zodiac, friend, hobby, game, food, comments) = row_data
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logger.info(f"[{i + 1}/{len(datas)}] 正在生成: {name}")
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# 每次循环重新加载模版
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template_source_file = os.path.join("templates", config["source_file"])
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prs = Presentation(template_source_file)
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# --- 页面 1 ---
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replace_one_page(prs, name, config["class_name"])
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# --- 页面 2 ---
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replace_two_page(prs, comments, teacher_names_str)
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# --- 页面 3 ---
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student_image_folder = os.path.join(config["image_folder"], name)
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logger.info(f"学生图片文件夹: {student_image_folder}")
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if os.path.exists(student_image_folder):
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me_image_path = find_image_path(student_image_folder, "me_image")
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# 构造信息字典供 helper 使用
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info_dict = {
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"name": name, "english_name": english_name, "sex": sex,
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"birthday": birthday, "zodiac": zodiac, "friend": friend,
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"hobby": hobby, "game": game, "food": food
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}
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# 逻辑：必须同时满足 "不是None" 且 "是字符串" 且 "文件存在" 才能执行
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if me_image_path and isinstance(me_image_path, str) and os.path.exists(me_image_path):
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logger.info(f"学生：{name}，图片路径有效: {me_image_path}，正在替换...")
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replace_three_page(prs, info_dict, me_image_path)
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else:
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# 只有在这里打印日志，告诉用户跳过了，但不中断程序
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replace_three_page(prs, info_dict, None)
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else:
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logger.warning(f"错误: 学生图片文件夹不存在 {student_image_folder}")
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# --- 页面 4 ---
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class_image_path = find_image_path(config["image_folder"], config["class_name"])
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if os.path.exists(class_image_path):
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replace_four_page(prs, class_image_path)
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else:
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logger.warning(f"错误: 班级图片文件不存在 {class_image_path}")
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# --- 页面 5 ---
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if os.path.exists(student_image_folder):
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img1_path = find_image_path(student_image_folder, "1")
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img2_path = find_image_path(student_image_folder, "2")
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# 逻辑优化：
|
||||
# 情况A: 两张都找到了 -> 正常插入
|
||||
if img1_path and img2_path:
|
||||
replace_five_page(prs, img1_path, img2_path)
|
||||
|
||||
# 情况B: 只找到了 1 -> 两张图都用 1 (避免报错)
|
||||
elif img1_path and not img2_path:
|
||||
replace_five_page(prs, img1_path, img1_path)
|
||||
# 情况C: 一张都没找到
|
||||
else:
|
||||
logger.warning(f"⚠️ 警告: {name} 缺少作品照片 (1.jpg/png 或 2.jpg/png)[/]")
|
||||
else:
|
||||
logger.warning(f"错误: 学生图片文件夹不存在 {student_image_folder}")
|
||||
|
||||
# --- 保存文件 ---
|
||||
file_ext = os.path.splitext(config["source_file"])[1]
|
||||
safe_name = str(name).strip()
|
||||
new_filename = f"{config['class_name']} {safe_name} 幼儿成长报告{file_ext}"
|
||||
output_path = os.path.join(config["output_folder"], new_filename)
|
||||
|
||||
try:
|
||||
prs.save(output_path)
|
||||
logger.success(f"学生：{name}，保存成功: {new_filename}")
|
||||
except PermissionError:
|
||||
logger.error(f"保存失败: 文件 {new_filename} 可能已被打开，请关闭后重试。")
|
||||
|
||||
logger.success("所有报告生成完毕！")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"程序运行出错: {str(e)}")
|
||||
# 打印详细报错位置，方便调试
|
||||
import traceback
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
# ==========================================
|
||||
# 5. 转换格式(根据names.xlsx文件生成PPT转PDF)
|
||||
# ==========================================
|
||||
def batch_convert_folder(folder_path):
|
||||
"""
|
||||
【推荐】批量转换文件夹下的所有 PPT (只启动一次 PowerPoint，速度快)
|
||||
"""
|
||||
folder_path = os.path.abspath(folder_path)
|
||||
if not os.path.exists(folder_path):
|
||||
print("文件夹不存在")
|
||||
return
|
||||
|
||||
# 获取所有 ppt/pptx 文件
|
||||
files = [f for f in os.listdir(folder_path) if f.lower().endswith(('.ppt', '.pptx'))]
|
||||
|
||||
if not files:
|
||||
print("没有找到 PPT 文件")
|
||||
return
|
||||
|
||||
print(f"发现 {len(files)} 个文件，准备开始转换...")
|
||||
|
||||
powerpoint = None
|
||||
try:
|
||||
# 1. 启动应用 (只启动一次)
|
||||
powerpoint = comtypes.client.CreateObject("PowerPoint.Application")
|
||||
# 某些环境下需要设为可见，否则无法运行
|
||||
# powerpoint.Visible = 1
|
||||
|
||||
for filename in files:
|
||||
ppt_path = os.path.join(folder_path, filename)
|
||||
pdf_path = os.path.splitext(ppt_path)[0] + ".pdf"
|
||||
|
||||
# 如果 PDF 已存在，可以选择跳过
|
||||
if os.path.exists(pdf_path):
|
||||
print(f"[跳过] 已存在: {filename}")
|
||||
continue
|
||||
|
||||
print(f"正在转换: {filename} ...")
|
||||
|
||||
try:
|
||||
# 打开 -> 另存为 -> 关闭
|
||||
deck = powerpoint.Presentations.Open(ppt_path)
|
||||
deck.SaveAs(pdf_path, 32)
|
||||
deck.Close()
|
||||
except Exception as e:
|
||||
print(f"文件 {filename} 转换出错: {e}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"PowerPoint 进程出错: {e}")
|
||||
finally:
|
||||
# 2. 退出应用
|
||||
if powerpoint:
|
||||
powerpoint.Quit()
|
||||
print("PowerPoint 已关闭，批量转换完成。")
|
||||
|
||||
|
||||
# ==========================================
|
||||
# 5. 生成属相(根据names.xlsx文件生成属相)
|
||||
# ==========================================
|
||||
def generate_zodiac():
|
||||
try:
|
||||
# 1. 读取数据
|
||||
excel_path = config["excel_file"]
|
||||
# sheet_name 根据实际情况修改，如果不确定可以用 sheet_name=0 读取第一个
|
||||
df = pd.read_excel(excel_path, sheet_name="Sheet1")
|
||||
|
||||
# 2. 检查必要的列
|
||||
date_column = '生日'
|
||||
target_column = '属相'
|
||||
|
||||
if date_column not in df.columns:
|
||||
logger.error(f"Excel中找不到列名：【{date_column}】，请检查表头。")
|
||||
return
|
||||
|
||||
# 检查是否存在"属相"列，不存在则新建
|
||||
if target_column not in df.columns:
|
||||
df[target_column] = ""
|
||||
|
||||
# --- 获取总行数，用于日志 ---
|
||||
total_count = len(df)
|
||||
logger.info(f"开始生成学生属相，共 {total_count} 位学生...")
|
||||
|
||||
# 3. 数据清洗与计算
|
||||
temp_dates = pd.to_datetime(df[date_column], errors='coerce')
|
||||
df[target_column] = temp_dates.apply(calculate_zodiac)
|
||||
|
||||
# 5. 保存结果
|
||||
save_path = excel_path
|
||||
|
||||
try:
|
||||
df.to_excel(save_path, index=False)
|
||||
logger.success(f"所有属相已更新并写入文件：{save_path}")
|
||||
logger.warning(f"请检查文件 {save_path} 修改日期格式。")
|
||||
except PermissionError:
|
||||
logger.error(f"保存失败！请先关闭 Excel 文件：{save_path}")
|
||||
|
||||
except FileNotFoundError:
|
||||
logger.error(f"找不到文件 {config.get('excel_file')}")
|
||||
except Exception as e:
|
||||
logger.error(f"程序运行出错: {str(e)}")
|
||||
import traceback
|
||||
logger.error(traceback.format_exc())
|
||||
|
||||
|
||||
46
utils/growt_utils.py
Normal file
46
utils/growt_utils.py
Normal file
@@ -0,0 +1,46 @@
|
||||
from rich.console import Console
|
||||
from loguru import logger
|
||||
|
||||
from config.config import load_config
|
||||
from utils.pptx_utils import replace_text_in_slide, replace_picture
|
||||
|
||||
# 如果你之前没有全局定义 console，这里定义一个
|
||||
console = Console()
|
||||
|
||||
# ==========================================
|
||||
# 1. 配置区域 (Configuration)
|
||||
# ==========================================
|
||||
config = load_config("config.toml")
|
||||
def replace_one_page(prs, name, class_name):
|
||||
"""替换第一页信息"""
|
||||
replace_text_in_slide(prs, 0, "name", name)
|
||||
replace_text_in_slide(prs, 0, "class", class_name)
|
||||
|
||||
|
||||
def replace_two_page(prs, comments, teacher_name):
|
||||
"""替换第二页信息"""
|
||||
replace_text_in_slide(prs, 1, "comments", comments)
|
||||
replace_text_in_slide(prs, 1, "teacher_name", teacher_name)
|
||||
|
||||
|
||||
def replace_three_page(prs, info_dict, me_image):
|
||||
"""替换第三页信息"""
|
||||
# 使用字典解包传递多个字段，减少参数数量
|
||||
fields = ["name", "english_name", "sex", "birthday", "zodiac", "friend", "hobby", "game", "food"]
|
||||
for field in fields:
|
||||
replace_text_in_slide(prs, 2, field, info_dict.get(field, ""))
|
||||
if me_image:
|
||||
replace_picture(prs, 2, "me_image", me_image)
|
||||
else:
|
||||
logger.warning(f"⚠️ 警告: {info_dict.get('name', '未知姓名')} 缺少个人照片（'me_image'）")
|
||||
|
||||
|
||||
def replace_four_page(prs, class_image):
|
||||
"""替换第四页信息"""
|
||||
replace_picture(prs, 3, "class_image", class_image)
|
||||
|
||||
|
||||
def replace_five_page(prs, image1, image2):
|
||||
"""替换第五页信息"""
|
||||
replace_picture(prs, 4, "image1", image1)
|
||||
replace_picture(prs, 4, "image2", image2)
|
||||
42
utils/pdf_utils.py
Normal file
42
utils/pdf_utils.py
Normal file
@@ -0,0 +1,42 @@
|
||||
import os
|
||||
|
||||
import comtypes.client
|
||||
|
||||
|
||||
def ppt_to_pdf_single(ppt_path, pdf_path=None):
|
||||
"""
|
||||
单个 PPT 转 PDF
|
||||
:param ppt_path: PPT 文件路径
|
||||
:param pdf_path: PDF 输出路径 (可选，默认同名)
|
||||
"""
|
||||
ppt_path = os.path.abspath(ppt_path) # COM 接口必须使用绝对路径
|
||||
|
||||
if pdf_path is None:
|
||||
pdf_path = os.path.splitext(ppt_path)[0] + ".pdf"
|
||||
pdf_path = os.path.abspath(pdf_path)
|
||||
|
||||
if not os.path.exists(ppt_path):
|
||||
print(f"文件不存在: {ppt_path}")
|
||||
return False
|
||||
|
||||
powerpoint = None
|
||||
try:
|
||||
# 启动 PowerPoint 应用
|
||||
powerpoint = comtypes.client.CreateObject("PowerPoint.Application")
|
||||
powerpoint.Visible = 1 # 设为可见，否则某些版本会报错
|
||||
|
||||
# 打开演示文稿
|
||||
deck = powerpoint.Presentations.Open(ppt_path)
|
||||
|
||||
# 保存为 PDF (文件格式代码 32 代表 PDF)
|
||||
deck.SaveAs(pdf_path, 32)
|
||||
|
||||
deck.Close()
|
||||
print(f"转换成功: {pdf_path}")
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"转换失败: {str(e)}")
|
||||
return False
|
||||
finally:
|
||||
if powerpoint:
|
||||
powerpoint.Quit()
|
||||
@@ -1,95 +0,0 @@
|
||||
import os
|
||||
|
||||
import comtypes.client
|
||||
|
||||
|
||||
def ppt_to_pdf_single(ppt_path, pdf_path=None):
|
||||
"""
|
||||
单个 PPT 转 PDF
|
||||
:param ppt_path: PPT 文件路径
|
||||
:param pdf_path: PDF 输出路径 (可选，默认同名)
|
||||
"""
|
||||
ppt_path = os.path.abspath(ppt_path) # COM 接口必须使用绝对路径
|
||||
|
||||
if pdf_path is None:
|
||||
pdf_path = os.path.splitext(ppt_path)[0] + ".pdf"
|
||||
pdf_path = os.path.abspath(pdf_path)
|
||||
|
||||
if not os.path.exists(ppt_path):
|
||||
print(f"文件不存在: {ppt_path}")
|
||||
return False
|
||||
|
||||
powerpoint = None
|
||||
try:
|
||||
# 启动 PowerPoint 应用
|
||||
powerpoint = comtypes.client.CreateObject("PowerPoint.Application")
|
||||
powerpoint.Visible = 1 # 设为可见，否则某些版本会报错
|
||||
|
||||
# 打开演示文稿
|
||||
deck = powerpoint.Presentations.Open(ppt_path)
|
||||
|
||||
# 保存为 PDF (文件格式代码 32 代表 PDF)
|
||||
deck.SaveAs(pdf_path, 32)
|
||||
|
||||
deck.Close()
|
||||
print(f"转换成功: {pdf_path}")
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"转换失败: {str(e)}")
|
||||
return False
|
||||
finally:
|
||||
if powerpoint:
|
||||
powerpoint.Quit()
|
||||
|
||||
|
||||
def batch_convert_folder(folder_path):
|
||||
"""
|
||||
【推荐】批量转换文件夹下的所有 PPT (只启动一次 PowerPoint，速度快)
|
||||
"""
|
||||
folder_path = os.path.abspath(folder_path)
|
||||
if not os.path.exists(folder_path):
|
||||
print("文件夹不存在")
|
||||
return
|
||||
|
||||
# 获取所有 ppt/pptx 文件
|
||||
files = [f for f in os.listdir(folder_path) if f.lower().endswith(('.ppt', '.pptx'))]
|
||||
|
||||
if not files:
|
||||
print("没有找到 PPT 文件")
|
||||
return
|
||||
|
||||
print(f"发现 {len(files)} 个文件，准备开始转换...")
|
||||
|
||||
powerpoint = None
|
||||
try:
|
||||
# 1. 启动应用 (只启动一次)
|
||||
powerpoint = comtypes.client.CreateObject("PowerPoint.Application")
|
||||
# 某些环境下需要设为可见，否则无法运行
|
||||
# powerpoint.Visible = 1
|
||||
|
||||
for filename in files:
|
||||
ppt_path = os.path.join(folder_path, filename)
|
||||
pdf_path = os.path.splitext(ppt_path)[0] + ".pdf"
|
||||
|
||||
# 如果 PDF 已存在，可以选择跳过
|
||||
if os.path.exists(pdf_path):
|
||||
print(f"[跳过] 已存在: {filename}")
|
||||
continue
|
||||
|
||||
print(f"正在转换: {filename} ...")
|
||||
|
||||
try:
|
||||
# 打开 -> 另存为 -> 关闭
|
||||
deck = powerpoint.Presentations.Open(ppt_path)
|
||||
deck.SaveAs(pdf_path, 32)
|
||||
deck.Close()
|
||||
except Exception as e:
|
||||
print(f"文件 {filename} 转换出错: {e}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"PowerPoint 进程出错: {e}")
|
||||
finally:
|
||||
# 2. 退出应用
|
||||
if powerpoint:
|
||||
powerpoint.Quit()
|
||||
print("PowerPoint 已关闭，批量转换完成。")
|
||||
30
utils/zodiac_utils.py
Normal file
30
utils/zodiac_utils.py
Normal file
@@ -0,0 +1,30 @@
|
||||
import pandas as pd
|
||||
|
||||
def calculate_zodiac(birth_date):
|
||||
"""
|
||||
根据出生日期推断生肖 (基于公历年份简单算法)
|
||||
逻辑：1900年是鼠年，以此为基准进行模运算
|
||||
"""
|
||||
if pd.isna(birth_date):
|
||||
return "未知"
|
||||
|
||||
# 确保是 datetime 对象，方便提取年份
|
||||
try:
|
||||
birth_date = pd.to_datetime(birth_date)
|
||||
except:
|
||||
return "格式错误"
|
||||
|
||||
year = birth_date.year
|
||||
|
||||
# 生肖列表，顺序必须固定：鼠、牛、虎...
|
||||
zodiacs = ['鼠', '牛', '虎', '兔', '龙', '蛇', '马', '羊', '猴', '鸡', '狗', '猪']
|
||||
|
||||
# 算法核心：(年份 - 1900) % 12 得到索引
|
||||
# 1900年是鼠年，索引为0
|
||||
index = (year - 1900) % 12
|
||||
return zodiacs[index]
|
||||
|
||||
# --- 主程序 ---
|
||||
|
||||
# 1. 读取 Excel 文件
|
||||
file_path = 'names.xlsx' # 你的文件名
|
||||
Reference in New Issue
Block a user